Exploring large scale data for multimedia QA: an initial study. - Richang Hong; Guangda Li; Liqiang Nie; Jinhui Tang 001; Tat-Seng Chua (CIVR, 2010)

TRECVID 2010 Known-item Search by NUS. - Xiangyu Chen; Jin Yuan 002; Liqiang Nie; Zheng-Jun Zha; Shuicheng Yan; Tat-Seng Chua (TRECVID, 2010)

Multimedia answering: enriching text QA with media information. - Liqiang Nie; Meng Wang 001; Zheng-Jun Zha; Guangda Li; Tat-Seng Chua (SIGIR, 2011)

A Semi-Supervised Bayesian Network Model for Microblog Topic Classification. - Yan Chen 019; Zhoujun Li 001; Liqiang Nie; Xia Hu 001; Xiangyu Wang; Tat-Seng Chua; Xiaoming Zhang 001 (COLING, 2012)

The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. - Weinan Zhang 003; Zhaoyan Ming; Yu Zhang 030; Liqiang Nie; Ting Liu 001; Tat-Seng Chua (COLING, 2012)

Harvesting visual concepts for image search with complex queries. - Liqiang Nie; Shuicheng Yan; Meng Wang 001; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2012)

Multimedia Question Answering. - Richang Hong; Meng Wang 001; Guangda Li; Liqiang Nie; Zheng-Jun Zha; Tat-Seng Chua (IEEE Multim., 2012)

Oracle in Image Search: A Content-Based Approach to Performance Prediction. - Liqiang Nie; Meng Wang 001; Zheng-Jun Zha; Tat-Seng Chua (ACM Trans. Inf. Syst., 2012)

Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information. - Liqiang Nie; Meng Wang 001; Yue Gao 002; Zheng-Jun Zha; Tat-Seng Chua (IEEE Trans. Multim., 2013)

A Joint Local-Global Approach for Medical Terminology Assignment. - Liqiang Nie; Mohammad Akbari 001; Tao Li; Tat-Seng Chua (MedIR@SIGIR, 2014)

WenZher: comprehensive vertical search for healthcare domain. - Liqiang Nie; Tao Li; Mohammad Akbari 001; Jialie Shen 001; Tat-Seng Chua (SIGIR, 2014)

Personalized Recommendations of Locally Interesting Venues to Tourists via Cross-Region Community Matching. - Yi-Liang Zhao; Liqiang Nie; Xiangyu Wang; Tat-Seng Chua (ACM Trans. Intell. Syst. Technol., 2014)

Learning to Recommend Descriptive Tags for Questions in Social Forums. - Liqiang Nie; Yi-Liang Zhao; Xiangyu Wang; Jialie Shen 001; Tat-Seng Chua (ACM Trans. Inf. Syst., 2014)

Recognizing entailment in Chinese texts with feature combination. - Maofu Liu; Yifan Guo; Liqiang Nie (IALP, 2015)

Action2Activity: Recognizing Complex Activities from Sensor Data. - Ye Liu 002; Liqiang Nie; Lei Han; Luming Zhang; David S. Rosenblum (IJCAI, 2015)

Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. - Xuemeng Song; Liqiang Nie; Luming Zhang; Maofu Liu; Tat-Seng Chua (IJCAI, 2015)

Harvesting Multiple Sources for User Profile Learning: a Big Data Study. - Aleksandr Farseev; Liqiang Nie; Mohammad Akbari 001; Tat-Seng Chua (ICMR, 2015)

Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections. - Lei Meng 001; Ah-Hwee Tan; Cyril Leung; Liqiang Nie; Tat-Seng Chua; Chunyan Miao (ICMR, 2015)

Beyond Doctors: Future Health Prediction from Multimedia and Multimodal Observations. - Liqiang Nie; Luming Zhang; Yi Yang 001; Meng Wang 001; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2015)

Biologically Inspired Media Quality Modeling. - Luming Zhang; Meng Wang 001; Liqiang Nie; Richang Hong; Yingjie Xia; Roger Zimmermann (ACM Multimedia, 2015)

Weibo-Oriented Chinese News Summarization via Multi-feature Combination. - Maofu Liu; Limin Wang; Liqiang Nie (NLPCC, 2015)

Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. - Xuemeng Song; Liqiang Nie; Luming Zhang; Mohammad Akbari 001; Tat-Seng Chua (SIGIR, 2015)

aMM: Towards adaptive ranking of multi-modal documents. - Mohammad Akbari 001; Liqiang Nie; Tat-Seng Chua (Int. J. Multim. Inf. Retr., 2015)

On robust image spam filtering via comprehensive visual modeling. - Jialie Shen 001; Robert H. Deng; Zhiyong Cheng 001; Liqiang Nie; Shuicheng Yan (Pattern Recognit., 2015)

Disease Inference from Health-Related Questions via Sparse Deep Learning. - Liqiang Nie; Meng Wang 001; Luming Zhang; Shuicheng Yan; Bo Zhang 010; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2015)

Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. - Liqiang Nie; Yi-Liang Zhao; Mohammad Akbari 001; Jialie Shen 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2015)

Semantic-Based Location Recommendation With Multimodal Venue Semantics. - Xiangyu Wang; Yi-Liang Zhao; Liqiang Nie; Yue Gao 002; Weizhi Nie; Zheng-Jun Zha; Tat-Seng Chua (IEEE Trans. Multim., 2015)

Retargeting Semantically-Rich Photos. - Luming Zhang; Meng Wang 001; Liqiang Nie; Liang Hong; Yong Rui; Qi Tian 001 (IEEE Trans. Multim., 2015)

From Tweets to Wellness: Wellness Event Detection from Twitter Streams. - Mohammad Akbari 001; Xia Hu 001; Liqiang Nie; Tat-Seng Chua (AAAI, 2016)

Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. - Yongpo Jia; Xuemeng Song; Jingbo Zhou; Li Liu 001; Liqiang Nie; David S. Rosenblum (AAAI, 2016)

Fortune Teller: Predicting Your Career Path. - Ye Liu 002; Luming Zhang; Liqiang Nie; Yan Yan 002; David S. Rosenblum (AAAI, 2016)

Sparse Code Filtering for Action Pattern Mining. - Wei Wang 108; Yan Yan 002; Liqiang Nie; Luming Zhang; Stefan Winkler 001; Nicu Sebe (ACCV (2), 2016)

What Does Social Media Say about Your Stress?. - Huijie Lin; Jia Jia 001; Liqiang Nie; Guangyao Shen; Tat-Seng Chua (IJCAI, 2016)

Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search. - Lei Zhu 002; Jialie Shen 001; Xiaobai Liu; Liang Xie 001; Liqiang Nie (IJCAI, 2016)

Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. - Jingyuan Chen; Xuemeng Song; Liqiang Nie; Xiang Wang 010; Hanwang Zhang; Tat-Seng Chua (ACM Multimedia, 2016)

Shorter-is-Better: Venue Category Estimation from Micro-Video. - Jianglong Zhang; Liqiang Nie; Xiang Wang 010; Xiangnan He 001; Xianglin Huang; Tat-Seng Chua (ACM Multimedia, 2016)

Smart Ambient Sound Analysis via Structured Statistical Modeling. - Jialie Shen 001; Liqiang Nie; Tat-Seng Chua (MMM (2), 2016)

Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs. - Yingjie Xia; Luming Zhang; Liqiang Nie; Wenjing Geng (MMM (1), 2016)

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning. - Long Chen 016; Hanwang Zhang; Jun Xiao 001; Liqiang Nie; Jian Shao 001; Tat-Seng Chua (CoRR, 2016)

Towards organizing health knowledge on community-based health services. - Mohammad Akbari 001; Xia Hu 001; Liqiang Nie; Tat-Seng Chua (EURASIP J. Bioinform. Syst. Biol., 2016)

Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm. - Huijun Hu; Ya Liu; Maofu Liu; Liqiang Nie (Neurocomputing, 2016)

From action to activity: Sensor-based activity recognition. - Ye Liu 002; Liqiang Nie; Li Liu 001; David S. Rosenblum (Neurocomputing, 2016)

Event graph based contradiction recognition from big data collection. - Maofu Liu; Limin Wang; Liqiang Nie; Jianhua Dai; Donghong Ji (Neurocomputing, 2016)

A classification model for semantic entailment recognition with feature combination. - Maofu Liu; Luming Zhang; Huijun Hu; Liqiang Nie; Jianhua Dai (Neurocomputing, 2016)

Bridge the semantic gap between pop music acoustic feature and emotion: Build an interpretable model. - Jianglong Zhang; Xianglin Huang; Lifang Yang; Liqiang Nie (Neurocomputing, 2016)

Exploring heterogeneous features for query-focused summarization of categorized community answers. - Wei Wei 002; Zhaoyan Ming; Liqiang Nie; Guohui Li 001; Jianjun Li; Feida Zhu 001; Tianfeng Shang; Changyin Luo (Inf. Sci., 2016)

An aerial image recognition framework using discrimination and redundancy quality measure. - Yuxing Hu; Liqiang Nie (J. Vis. Commun. Image Represent., 2016)

Genetic algorithm and mathematical morphology based binarization method for strip steel defect image with non-uniform illumination. - Maofu Liu; Ya Liu; Huijun Hu; Liqiang Nie (J. Vis. Commun. Image Represent., 2016)

Quality biased multimedia data retrieval in microblogs. - Shuhan Qi; Peiguang Jing; Xuan Wang 002; Liqiang Nie (J. Vis. Commun. Image Represent., 2016)

Weakly supervised image parsing via label propagation over discriminatively semantic graph. - Xiaocheng Xu; Jun Ma 001; Liqiang Nie (J. Vis. Commun. Image Represent., 2016)

A Biologically Inspired Automatic System for Media Quality Assessment. - Luming Zhang; Richang Hong; Liqiang Nie; Chaoqun Hong (IEEE Trans Autom. Sci. Eng., 2016)

Perceptual Attributes Optimization for Multivideo Summarization. - Liqiang Nie; Richang Hong; Luming Zhang; Yingjie Xia; Dacheng Tao; Nicu Sebe (IEEE Trans. Cybern., 2016)

Weakly Supervised Multilabel Clustering and its Applications in Computer Vision. - Yingjie Xia; Liqiang Nie; Luming Zhang; Yi Yang 001; Richang Hong; Xuelong Li 001 (IEEE Trans. Cybern., 2016)

Weakly Supervised Human Fixations Prediction. - Luming Zhang; Xuelong Li 001; Liqiang Nie; Yi Yang 001; Yingjie Xia (IEEE Trans. Cybern., 2016)

Detecting Densely Distributed Graph Patterns for Fine-Grained Image Categorization. - Luming Zhang; Yang Yang 002; Meng Wang 001; Richang Hong; Liqiang Nie; Xuelong Li 001 (IEEE Trans. Image Process., 2016)

Volunteerism Tendency Prediction via Harvesting Multiple Social Networks. - Xuemeng Song; Zhaoyan Ming; Liqiang Nie; Yi-Liang Zhao; Tat-Seng Chua (ACM Trans. Inf. Syst., 2016)

Semantic Photo Retargeting Under Noisy Image Labels. - Luming Zhang; Xuelong Li 001; Liqiang Nie; Yan Yan 002; Roger Zimmermann (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Learning from Multiple Social Networks - Liqiang Nie; Xuemeng Song; Tat-Seng Chua (Morgan & Claypool Publishers, 2016)

What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. - Linmei Hu; Juanzi Li; Liqiang Nie; Xiaoli Li 001; Chao Shao (AAAI, 2017)

S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. - Xianling Mao; Bo-Si Feng; Yi-Jing Hao; Liqiang Nie; Heyan Huang; Guihua Wen (AAAI, 2017)

SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. - Long Chen 016; Hanwang Zhang; Jun Xiao 001; Liqiang Nie; Jian Shao 001; Wei Liu 005; Tat-Seng Chua (CVPR, 2017)

Exploiting Music Play Sequence for Music Recommendation. - Zhiyong Cheng 001; Jialie Shen 001; Lei Zhu 002; Mohan S. Kankanhalli; Liqiang Nie (IJCAI, 2017)

Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. - Lizi Liao; Xiangnan He 001; Zhaochun Ren; Liqiang Nie; Huan Xu; Tat-Seng Chua (IJCAI, 2017)

Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. - Guangyao Shen; Jia Jia 001; Liqiang Nie; Fuli Feng; Cunjun Zhang; Tianrui Hu; Tat-Seng Chua; Wenwu Zhu 001 (IJCAI, 2017)

Laplacian-Steered Neural Style Transfer. - Shaohua Li; Xinxing Xu; Liqiang Nie; Tat-Seng Chua (ACM Multimedia, 2017)

Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. - Meng Liu 006; Liqiang Nie; Meng Wang 001; Baoquan Chen (ACM Multimedia, 2017)

Enhancing Micro-video Understanding by Harnessing External Sounds. - Liqiang Nie; Xiang Wang 010; Jianglong Zhang; Xiangnan He 001; Hanwang Zhang; Richang Hong; Qi Tian 001 (ACM Multimedia, 2017)

NeuroStylist: Neural Compatibility Modeling for Clothing Matching. - Xuemeng Song; Fuli Feng; Jinhuan Liu; Zekun Li 001; Liqiang Nie; Jun Ma 001 (ACM Multimedia, 2017)

Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval. - Pengfei Zhang; Chuan-Xiang Li; Meng-Yuan Liu; Liqiang Nie; Xin-Shun Xu (ACM Multimedia, 2017)

Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. - Da Cao; Liqiang Nie; Xiangnan He 001; Xiaochi Wei; Shunzhi Zhu; Tat-Seng Chua (SIGIR, 2017)

Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. - Jingyuan Chen; Hanwang Zhang; Xiangnan He 001; Liqiang Nie; Wei Liu 005; Tat-Seng Chua (SIGIR, 2017)

Exploring User-Specific Information in Music Retrieval. - Zhiyong Cheng 001; Jialie Shen 001; Liqiang Nie; Tat-Seng Chua; Mohan S. Kankanhalli (SIGIR, 2017)

Computational Social Indicators: A Case Study of Chinese University Ranking. - Fuli Feng; Liqiang Nie; Xiang Wang 010; Richang Hong; Tat-Seng Chua (SIGIR, 2017)

Item Silk Road: Recommending Items from Information Domains to Social Users. - Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (SIGIR, 2017)

Neural Collaborative Filtering. - Xiangnan He 001; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu 001; Tat-Seng Chua (WWW, 2017)

Simple to Complex Cross-modal Learning to Rank. - Minnan Luo; Xiaojun Chang; Yi Yang 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (CoRR, 2017)

Simple to complex cross-modal learning to rank. - Minnan Luo; Xiaojun Chang; Zhihui Li 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (Comput. Vis. Image Underst., 2017)

Version-sensitive mobile App recommendation. - Da Cao; Liqiang Nie; Xiangnan He 001; Xiaochi Wei; Jialie Shen 001; Shunxiang Wu; Tat-Seng Chua (Inf. Sci., 2017)

Special issue on cross-media big data analytics. - An-An Liu; Ke Gao; Liqiang Nie; Juergen Gall; Yi Yang 001 (J. Vis. Commun. Image Represent., 2017)

Multiview Physician-Specific Attributes Fusion for Health Seeking. - Liqiang Nie; Luming Zhang; Yan Yan 002; Xiaojun Chang; Maofu Liu; Ling Shao 001 (IEEE Trans. Cybern., 2017)

Perceptually Guided Photo Retargeting. - Yingjie Xia; Luming Zhang; Richang Hong; Liqiang Nie; Yan Yan 002; Ling Shao 001 (IEEE Trans. Cybern., 2017)

Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs. - Yingjie Xia; Luming Zhang; Zhenguang Liu; Liqiang Nie; Xuelong Li 001 (IEEE Trans. Image Process., 2017)

Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation. - Chaoran Cui; Jialie Shen 001; Liqiang Nie; Richang Hong; Jun Ma 001 (ACM Trans. Intell. Syst. Technol., 2017)

Learning User Attributes via Mobile Social Multimedia Analytics. - Liqiang Nie; Luming Zhang; Meng Wang 001; Richang Hong; Aleksandr Farseev; Tat-Seng Chua (ACM Trans. Intell. Syst. Technol., 2017)

Data-Driven Answer Selection in Community QA Systems. - Liqiang Nie; Xiaochi Wei; Dongxiang Zhang; Xiang Wang 010; Zhipeng Gao 002; Yi Yang 001 (IEEE Trans. Knowl. Data Eng., 2017)

I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. - Xiaochi Wei; Heyan Huang; Liqiang Nie; Hanwang Zhang; Xianling Mao; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2017)

Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Huimin Gu (IEEE Trans. Multim., 2017)

Large-Scale Tracking for Images With Few Textures. - Guoyu Lu; Liqiang Nie; Scott Sorensen; Chandra Kambhamettu (IEEE Trans. Multim., 2017)

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. - Liqiang Nie; Luming Zhang; Lei Meng 001; Xuemeng Song; Xiaojun Chang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts. - Da Cao; Xiangnan He 001; Liqiang Nie; Xiaochi Wei; Xia Hu 001; Shunxiang Wu; Tat-Seng Chua (ACM Trans. Inf. Syst., 2017)

Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. - Xiang Wang 010; Liqiang Nie; Xuemeng Song; Dongxiang Zhang; Tat-Seng Chua (ACM Trans. Inf. Syst., 2017)

Targeted Advertising in Public Transportation Systems with Quantitative Evaluation. - Dongxiang Zhang; Long Guo; Liqiang Nie; Jie Shao 001; Sai Wu; Heng Tao Shen (ACM Trans. Inf. Syst., 2017)

Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval. - Dongxiang Zhang; Liqiang Nie; Huanbo Luan; Kian-Lee Tan; Tat-Seng Chua; Heng Tao Shen (ACM Trans. Inf. Syst., 2017)

Dual Deep Neural Networks Cross-Modal Hashing. - Zhen-Duo Chen 001; Wan-Jin Yu; Chuan-Xiang Li; Liqiang Nie; Xin-Shun Xu (AAAI, 2018)

Supervised Deep Hashing for Hierarchical Labeled Data. - Dan Wang; Heyan Huang; Chi Lu; Bo-Si Feng; Guihua Wen; Liqiang Nie; Xianling Mao (AAAI, 2018)

Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. - Yansen Wang; Chenyi Liu; Minlie Huang; Liqiang Nie (ACL (1), 2018)

An Attentive Interaction Network for Context-aware Recommendations. - Lei Mei; Pengjie Ren; Zhumin Chen; Liqiang Nie; Jun Ma 001; Jian-Yun Nie (CIKM, 2018)

Discrete Factorization Machines for Fast Feature-based Recommendation. - Han Liu; Xiangnan He 001; Fuli Feng; Liqiang Nie; Rui Liu 019; Hanwang Zhang (IJCAI, 2018)

SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. - Xin Luo 006; Xiao-Ya Yin; Liqiang Nie; Xuemeng Song; Yongxin Wang 001; Xin-Shun Xu (IJCAI, 2018)

A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. - Ryuichi Takanobu; Minlie Huang; Zhongzhou Zhao; Feng-Lin Li; Haiqing Chen; Xiaoyan Zhu 001; Liqiang Nie (IJCAI, 2018)

Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. - Xiaochi Wei; Heyan Huang; Liqiang Nie; Fuli Feng; Richang Hong; Tat-Seng Chua (IJCAI, 2018)

Multi-modal Preference Modeling for Product Search. - Yangyang Guo; Zhiyong Cheng 001; Liqiang Nie; Xin-Shun Xu; Mohan S. Kankanhalli (ACM Multimedia, 2018)

SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval. - Chuan-Xiang Li; Zhen-Duo Chen 001; Peng-Fei Zhang; Xin Luo 006; Liqiang Nie; Wei Zhang 021; Xin-Shun Xu (ACM Multimedia, 2018)

Cross-modal Moment Localization in Videos. - Meng Liu 006; Xiang Wang 010; Liqiang Nie; Qi Tian 001; Baoquan Chen; Tat-Seng Chua (ACM Multimedia, 2018)

Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. - Jingyuan Chen; Xiangnan He 001; Xuemeng Song; Hanwang Zhang; Liqiang Nie; Tat-Seng Chua (MMM (2), 2018)

Attentive Moment Retrieval in Videos. - Meng Liu 006; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Baoquan Chen; Tat-Seng Chua (SIGIR, 2018)

Fast Scalable Supervised Hashing. - Xin Luo 006; Liqiang Nie; Xiangnan He 001; Ye Wu; Zhen-Duo Chen 001; Xin-Shun Xu (SIGIR, 2018)

Neural Compatibility Modeling with Attentive Knowledge Distillation. - Xuemeng Song; Fuli Feng; Xianjing Han; Xin Yang 008; Wei Liu 005; Liqiang Nie (SIGIR, 2018)

A Personal Privacy Preserving Framework: I Let You Know Who Can See What. - Xuemeng Song; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Zhumin Chen; Wei Liu 005 (SIGIR, 2018)

Chat More: Deepening and Widening the Chatting Topic via A Deep Model. - Wenjie Wang 007; Minlie Huang; Xin-Shun Xu; Fumin Shen; Liqiang Nie (SIGIR, 2018)

Learning on Partial-Order Hypergraphs. - Fuli Feng; Xiangnan He 001; Yiqun Liu 001; Liqiang Nie; Tat-Seng Chua (WWW, 2018)

TEM: Tree-enhanced Embedding Model for Explainable Recommendation. - Xiang Wang 010; Xiangnan He 001; Fuli Feng; Liqiang Nie; Tat-Seng Chua (WWW, 2018)

Guest Editorial: Query understanding. - Liqiang Nie; Richang Hong; Peng Cui 007 (Neurocomputing, 2018)

Identifying advisor-advisee relationships from co-author networks via a novel deep model. - Zhongying Zhao 001; Wenqiang Liu; Yuhua Qian; Liqiang Nie; Yilong Yin; Yong Zhang 001 (Inf. Sci., 2018)

Guest Editorial: Semantic Concept Discovery in MM Data. - Xiaojun Chang; Yan Yan 002; Liqiang Nie (Multim. Tools Appl., 2018)

Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. - Yahong Han; Liqiang Nie; Fei Wu 001 (Multim. Tools Appl., 2018)

An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. - Minnan Luo; Xiaojun Chang; Liqiang Nie; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IEEE Trans. Cybern., 2018)

Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework. - Yingjie Xia; Luming Zhang; Lei Meng 001; Yan Yan 002; Liqiang Nie; Xuelong Li 001 (IEEE Trans. Cybern., 2018)

Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Xu Bai; Jing Liu 002; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2018)

Rank-Constrained Spectral Clustering With Flexible Embedding. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Liqiang Nie; Huaxiang Zhang 001; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Sentence Relations for Extractive Summarization with Deep Neural Networks. - Pengjie Ren; Zhumin Chen; Zhaochun Ren; Furu Wei; Liqiang Nie; Jun Ma 001; Maarten de Rijke (ACM Trans. Inf. Syst., 2018)

Guest Editorial: Special Section on "Multimedia Understanding via Multimodal Analytics". - Yan Yan 002; Liqiang Nie; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Explicit Interaction Model towards Text Classification. - Cunxiao Du; Zhaozheng Chen; Fuli Feng; Lei Zhu 002; Tian Gan; Liqiang Nie (AAAI, 2019)

Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. - Mengmeng Li; Tian Gan; Meng Liu 006; Zhiyong Cheng 001; Jianhua Yin; Liqiang Nie (CIKM, 2019)

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. - Linmei Hu; Luhao Zhang; Chuan Shi 001; Liqiang Nie; Weili Guan; Cheng Yang 002 (EMNLP/IJCNLP (1), 2019)

Video-Based Cross-Modal Recipe Retrieval. - Da Cao; Zhiwang Yu; Hanling Zhang; Jiansheng Fang; Liqiang Nie; Qi Tian 001 (ACM Multimedia, 2019)

A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. - Zhen-Duo Chen 001; Yongxin Wang 001; Hui-Qiong Li; Xin Luo 006; Liqiang Nie; Xin-Shun Xu (ACM Multimedia, 2019)

Personalized Capsule Wardrobe Creation with Garment and User Modeling. - Xue Dong; Xuemeng Song; Fuli Feng; Peiguang Jing; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

Seeking Micro-influencers for Brand Promotion. - Tian Gan; Shaokun Wang; Meng Liu 006; Xuemeng Song; Yiyang Yao; Liqiang Nie (ACM Multimedia, 2019)

Market2Dish: A Health-aware Food Recommendation System. - Hao Jiang; Wenjie Wang 007; Meng Liu 006; Liqiang Nie; Ling-Yu Duan; Changsheng Xu (ACM Multimedia, 2019)

Routing Micro-videos via A Temporal Graph-guided Recommendation System. - Yongqi Li 001; Meng Liu 006; Jianhua Yin; Chaoran Cui; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

User Diverse Preference Modeling by Multimodal Attentive Metric Learning. - Fan Liu 008; Zhiyong Cheng 001; Changchang Sun; Yinglong Wang 001; Liqiang Nie; Mohan S. Kankanhalli (ACM Multimedia, 2019)

Multimodal Dialog System: Generating Responses via Adaptive Decoders. - Liqiang Nie; Wenjie Wang 007; Richang Hong; Meng Wang 001; Qi Tian 001 (ACM Multimedia, 2019)

GP-BPR: Personalized Compatibility Modeling for Clothing Matching. - Xuemeng Song; Xianjing Han; Yunkai Li; Jingyuan Chen; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

Personalized Hashtag Recommendation for Micro-videos. - Yinwei Wei; Zhiyong Cheng 001; Xuzheng Yu; Zhou Zhao 001; Lei Zhu 002; Liqiang Nie (ACM Multimedia, 2019)

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2019)

Virtually Trying on New Clothing with Arbitrary Poses. - Na Zheng; Xuemeng Song; Zhaozheng Chen; Linmei Hu; Da Cao; Liqiang Nie (ACM Multimedia, 2019)

Learn to Gesture: Let Your Body Speak. - Tian Gan; Zhixin Ma 001; Yuxiao Lu; Xuemeng Song; Liqiang Nie (MMAsia, 2019)

User Attention-guided Multimodal Dialog Systems. - Chen Cui; Wenjie Wang 007; Xuemeng Song; Minlie Huang; Xin-Shun Xu; Liqiang Nie (SIGIR, 2019)

Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. - Yangyang Guo; Zhiyong Cheng 001; Liqiang Nie; Yibing Liu; Yinglong Wang 001; Mohan S. Kankanhalli (SIGIR, 2019)

Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. - Xianjing Han; Xuemeng Song; Jianhua Yin; Yinglong Wang 001; Liqiang Nie (SIGIR, 2019)

Online Multi-modal Hashing with Dynamic Query-adaption. - Xu Lu 004; Lei Zhu 002; Zhiyong Cheng 001; Liqiang Nie; Huaxiang Zhang 001 (SIGIR, 2019)

Supervised Hierarchical Cross-Modal Hashing. - Changchang Sun; Xuemeng Song; Fuli Feng; Wayne Xin Zhao; Hao Zhang; Liqiang Nie (SIGIR, 2019)

Principal Component Analysis on Graph-Hessian. - Yichen Pan; Yicong Zhou; Weifeng Liu 001; Liqiang Nie (SSCI, 2019)

HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. - Sichao Fu; Weifeng Liu 001; Yicong Zhou; Liqiang Nie (Neurocomputing, 2019)

Multi-view face hallucination using SVD and a mapping model. - Muwei Jian; Chaoran Cui; Xiushan Nie; Huaxiang Zhang 001; Liqiang Nie; Yilong Yin (Inf. Sci., 2019)

Multi-criteria active deep learning for image classification. - Jin Yuan 002; Xingxing Hou; Yaoqiang Xiao; Da Cao; Weili Guan; Liqiang Nie (Knowl. Based Syst., 2019)

Low-rank regularized tensor discriminant representation for image set classification. - Peiguang Jing; Yuting Su 001; Zhengnan Li; Jing Liu 002; Liqiang Nie (Signal Process., 2019)

A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Huimin Gu; Jing Liu 002; Meng Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. - Meng Liu 006; Liqiang Nie; Xiang Wang 010; Qi Tian 001; Baoquan Chen (IEEE Trans. Image Process., 2019)

Discrete Hashing With Multiple Supervision. - Xin Luo 006; Peng-Fei Zhang; Zi Huang; Liqiang Nie; Xin-Shun Xu (IEEE Trans. Image Process., 2019)

Distribution-Oriented Aesthetics Assessment With Semantic-Aware Hybrid Network. - Chaoran Cui; Huihui Liu; Tao Lian; Liqiang Nie; Lei Zhu 002; Yilong Yin (IEEE Trans. Multim., 2019)

Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval. - Chuan-Xiang Li; Ting-Kun Yan; Xin Luo 006; Liqiang Nie; Xin-Shun Xu (IEEE Trans. Multim., 2019)

Attentive Long Short-Term Preference Modeling for Personalized Product Search. - Yangyang Guo; Zhiyong Cheng 001; Liqiang Nie; Yinglong Wang 001; Jun Ma 001; Mohan S. Kankanhalli (ACM Trans. Inf. Syst., 2019)

From Question to Text: Question-Oriented Feature Attention for Answer Selection. - Heyan Huang; Xiaochi Wei; Liqiang Nie; Xianling Mao; Xin-Shun Xu (ACM Trans. Inf. Syst., 2019)

Multimodal Learning toward Micro-Video Understanding - Liqiang Nie; Meng Liu 006; Xuemeng Song (Morgan & Claypool Publishers, 2019)

Compatibility Modeling: Data and Knowledge Applications for Clothing Matching - Xuemeng Song; Liqiang Nie; Yinglong Wang 001 (Compatibility Modeling, 2019)

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. - Jianlong Wu; Xingyu Xie; Liqiang Nie; Zhouchen Lin; Hongbin Zha (AAAI, 2020)

Auxiliary Template-Enhanced Generative Compatibility Modeling. - Jinhuan Liu; Xuemeng Song; Zhaochun Ren; Liqiang Nie; Zhaopeng Tu; Jun Ma 001 (IJCAI, 2020)

Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. - Da Cao; Yawen Zeng; Xiaochi Wei; Liqiang Nie; Richang Hong; Zheng Qin 001 (ACM Multimedia, 2020)

What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. - Hao Jiang; Wenjie Wang 007; Yinwei Wei; Zan Gao; Yinglong Wang 001; Liqiang Nie (ACM Multimedia, 2020)

Context-Aware Multi-View Summarization Network for Image-Text Matching. - Leigang Qu; Meng Liu 006; Da Cao; Liqiang Nie; Qi Tian 001 (ACM Multimedia, 2020)

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (ACM Multimedia, 2020)

Personalized Item Recommendation for Second-hand Trading Platform. - Xuzheng Yu; Tian Gan; Yinwei Wei; Zhiyong Cheng 001; Liqiang Nie (ACM Multimedia, 2020)

Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. - Xue Dong; Jianlong Wu; Xuemeng Song; Hongjun Dai; Liqiang Nie (SIGIR, 2020)

Generative Attribute Manipulation Scheme for Flexible Fashion Search. - Xin Yang 008; Xuemeng Song; Xianjing Han; Haokun Wen; Jie Nie; Liqiang Nie (SIGIR, 2020)

LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. - Changfeng Sun; Han Liu; Meng Liu 006; Zhaochun Ren; Tian Gan; Liqiang Nie (WSDM, 2020)

A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. - Fan Liu 008; Zhiyong Cheng 001; Lei Zhu 002; Chenghao Liu; Liqiang Nie (CoRR, 2020)

Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View. - Yangyang Guo; Liqiang Nie; Zhiyong Cheng 001; Qi Tian 001 (CoRR, 2020)

HesGCN: Hessian graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Dapeng Tao; Yicong Zhou; Liqiang Nie (Inf. Sci., 2020)

Cross-modal recipe retrieval via parallel- and cross-attention networks learning. - Da Cao; Jingjing Chu; Ningbo Zhu; Liqiang Nie (Knowl. Based Syst., 2020)

Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities. - Da Cao; Lianhai Miao; Huigui Rong; Zheng Qin 001; Liqiang Nie (Knowl. Based Syst., 2020)

Cross-modal dual subspace learning with adversarial network. - Fei Shang; Huaxiang Zhang 001; Jiande Sun 001; Liqiang Nie; Li Liu 031 (Neural Networks, 2020)

Domain Adaptation with Few Labeled Source Samples by Graph Regularization. - Jinfeng Li; Weifeng Liu 001; Yicong Zhou; Dapeng Tao; Liqiang Nie (Neural Process. Lett., 2020)

Guest editorial: Image/video understanding and analysis. - Xiaojun Chang; Xiaodan Liang; Yan Yan 002; Liqiang Nie (Pattern Recognit. Lett., 2020)

SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. - Zhen-Duo Chen 001; Chuan-Xiang Li; Xin Luo 006; Liqiang Nie; Wei Zhang 021; Xin-Shun Xu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Graph Convolutional Network Hashing. - Xiang Zhou 008; Fumin Shen; Li Liu 004; Wei Liu 005; Liqiang Nie; Yang Yang 002; Heng Tao Shen (IEEE Trans. Cybern., 2020)

Scalable Deep Hashing for Large-Scale Social Image Retrieval. - Hui Cui 004; Lei Zhu 002; Jingjing Li 001; Yang Yang 002; Liqiang Nie (IEEE Trans. Image Process., 2020)

Neural Compatibility Modeling With Probabilistic Knowledge Distillation. - Xianjing Han; Xuemeng Song; Yiyang Yao; Xin-Shun Xu; Liqiang Nie (IEEE Trans. Image Process., 2020)

Model Optimization Boosting Framework for Linear Model Hash Learning. - Xingbo Liu; Xiushan Nie; Quan Zhou; Liqiang Nie; Yilong Yin (IEEE Trans. Image Process., 2020)

Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification. - Meng Liu 006; Leigang Qu; Liqiang Nie; Maofu Liu; Lingyu Duan; Baoquan Chen (IEEE Trans. Image Process., 2020)

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. - Yinwei Wei; Xiang Wang 010; Weili Guan; Liqiang Nie; Zhouchen Lin; Baoquan Chen (IEEE Trans. Image Process., 2020)

Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. - Muwei Jian; Junyu Dong; Maoguo Gong; Hui Yu 001; Liqiang Nie; Yilong Yin; Kin-Man Lam 001 (IEEE Trans. Multim., 2020)

Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. - Peiguang Jing; Shu Ye; Liqiang Nie; Jing Liu 002; Yuting Su 001 (IEEE Trans. Multim., 2020)

Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning. - Xiaolin Chen; Xuemeng Song; Ruiyang Ren; Lei Zhu 002; Zhiyong Cheng 001; Liqiang Nie (ACM Trans. Inf. Syst., 2020)

Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. - Liqiang Nie; Yongqi Li 001; Fuli Feng; Xuemeng Song; Meng Wang 001; Yinglong Wang 001 (ACM Trans. Inf. Syst., 2020)

An End-to-End Attention-Based Neural Model for Complementary Clothing Matching. - Jinhuan Liu; Xuemeng Song; Liqiang Nie; Tian Gan; Jun Ma 001 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. - Fangkai Jiao; Yangyang Guo; Yilin Niu; Feng Ji; Feng-Lin Li; Liqiang Nie (ACL/IJCNLP (Findings), 2021)

Lipschitz Continuity Guided Knowledge Distillation. - Yuzhang Shang; Bin Duan; Ziliang Zong; Liqiang Nie; Yan Yan 002 (ICCV, 2021)

Graph Contrastive Clustering. - Huasong Zhong; Jianlong Wu; Chong Chen 002; Jianqiang Huang; Minghua Deng; Liqiang Nie; Zhouchen Lin; Xian-Sheng Hua 001 (ICCV, 2021)

AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. - Yangyang Guo; Liqiang Nie; Zhiyong Cheng 001; Feng Ji; Ji Zhang 011; Alberto Del Bimbo (IJCAI, 2021)

Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. - Weili Guan; Haokun Wen; Xuemeng Song; Chung-Hsing Yeh; Xiaojun Chang; Liqiang Nie (ACM Multimedia, 2021)

Focal and Composed Vision-semantic Modeling for Visual Question Answering. - Yudong Han; Yangyang Guo; Jianhua Yin; Meng Liu 006; Yupeng Hu; Liqiang Nie (ACM Multimedia, 2021)

Graph Convolutional Multi-modal Hashing for Flexible Multimedia Retrieval. - Xu Lu 004; Lei Zhu 002; Li Liu 031; Liqiang Nie; Huaxiang Zhang 001 (ACM Multimedia, 2021)

Complementary Factorization towards Outfit Compatibility Modeling. - Tianyu Su; Xuemeng Song; Na Zheng; Weili Guan; Yan Li 068; Liqiang Nie (ACM Multimedia, 2021)

Contrastive Learning for Cold-Start Recommendation. - Yinwei Wei; Xiang Wang 010; Qi Li; Liqiang Nie; Yan Li 068; Xuanping Li; Tat-Seng Chua (ACM Multimedia, 2021)

Multimodal Dialog System: Relational Graph-based Context-aware Question Understanding. - Haoyu Zhang; Meng Liu 006; Zan Gao; Xiaoqiang Lei; Yinglong Wang 001; Liqiang Nie (ACM Multimedia, 2021)

Collocation and Try-on Network: Whether an Outfit is Compatible. - Na Zheng; Xuemeng Song; Qingying Niu; Xue Dong; Yibing Zhan; Liqiang Nie (ACM Multimedia, 2021)

PLM-IPE: A Pixel-Landmark Mutual Enhanced Framework for Implicit Preference Estimation. - Federico Becattini; Xuemeng Song; Claudio Baecchi; Shi-Ting Fang; Claudio Ferrari; Liqiang Nie; Alberto Del Bimbo (MMAsia, 2021)

Hierarchical Deep Residual Reasoning for Temporal Moment Localization. - Ziyang Ma 001; Xianjing Han; Xuemeng Song; Yiran Cui; Liqiang Nie (MMAsia, 2021)

Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. - Xiaolin Chen; Xuemeng Song; Guozhen Peng; Shanshan Feng 001; Liqiang Nie (SIGIR, 2021)

Multimodal Activation: Awakening Dialog Robots without Wake Words. - Liqiang Nie; Mengzhao Jia; Xuemeng Song; Ganglu Wu; Harry Cheng 002; Jian Gu (SIGIR, 2021)

Dynamic Modality Interaction Modeling for Image-Text Retrieval. - Leigang Qu; Meng Liu 006; Jianlong Wu; Zan Gao; Liqiang Nie (SIGIR, 2021)

Comprehensive Linguistic-Visual Composition Network for Image Retrieval. - Haokun Wen; Xuemeng Song; Xin Yang 008; Yibing Zhan; Liqiang Nie (SIGIR, 2021)

Denoising Implicit Feedback for Recommendation. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (WSDM, 2021)

Interest-aware Message-Passing GCN for Recommendation. - Fan Liu 008; Zhiyong Cheng 001; Lei Zhu 002; Zan Gao; Liqiang Nie (WWW, 2021)

Incremental Knowledge Based Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (CoRR, 2021)

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Yibing Liu; Yangyang Guo; Jianhua Yin; Xuemeng Song; Weifeng Liu 001; Liqiang Nie (CoRR, 2021)

Factor-level Attentive ICF for Recommendation. - Zhiyong Cheng 001; Shenghan Mei; Yangyang Guo; Lei Zhu 002; Liqiang Nie (CoRR, 2021)

A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (CoRR, 2021)

Hierarchical User Intent Graph Network forMultimedia Recommendation. - Yinwei Wei; Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Yong Rui; Tat-Seng Chua (CoRR, 2021)

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2021)

Learning Robust Recommender from Noisy Implicit Feedback. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2021)

Human activity recognition by manifold regularization based dynamic graph convolutional networks. - Weifeng Liu 001; Sichao Fu; Yicong Zhou; Zheng-Jun Zha; Liqiang Nie (Neurocomputing, 2021)

Learning robust affinity graph representation for multi-view clustering. - Peiguang Jing; Yuting Su 001; Zhengnan Li; Liqiang Nie (Inf. Sci., 2021)

PaintNet: A shape-constrained generative framework for generating clothing from fashion model. - Junyu Lin; Xuemeng Song; Tian Gan; Yiyang Yao; Weifeng Liu 001; Liqiang Nie (Multim. Tools Appl., 2021)

Reconstruction regularized low-rank subspace learning for cross-modal retrieval. - Jianlong Wu; Xingxu Xie; Liqiang Nie; Zhouchen Lin; Hongbin Zha (Pattern Recognit., 2021)

Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. - Weili Guan; Xuemeng Song; Tian Gan; Junyu Lin; Xiaojun Chang; Liqiang Nie (IEEE Trans. Cybern., 2021)

Video Moment Localization via Deep Cross-Modal Hashing. - Yupeng Hu; Meng Liu 006; Xiaobin Su; Zan Gao; Liqiang Nie (IEEE Trans. Image Process., 2021)

Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization. - Yupeng Hu; Liqiang Nie; Meng Liu 006; Kun Wang 039; Yinglong Wang 001; Xian-Sheng Hua 001 (IEEE Trans. Image Process., 2021)

Conversational Image Search. - Liqiang Nie; Fangkai Jiao; Wenjie Wang 007; Yinglong Wang 001; Qi Tian 001 (IEEE Trans. Image Process., 2021)

Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. - Zongmeng Zhang; Xianjing Han; Xuemeng Song; Yan Yan 002; Liqiang Nie (IEEE Trans. Image Process., 2021)

BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing. - Yongxin Wang 001; Xin Luo 006; Liqiang Nie; Jingkuan Song; Wei Zhang 021; Xin-Shun Xu (IEEE Trans. Knowl. Data Eng., 2021)

User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling. - Xiaolin Chen; Xuemeng Song; Siwei Cui; Tian Gan; Zhiyong Cheng 001; Liqiang Nie (IEEE Trans. Multim., 2021)

Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction. - Peiguang Jing; Yuechen Shang; Liqiang Nie; Yuting Su 001; Jing Liu 002; Meng Wang 001 (IEEE Trans. Multim., 2021)

Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. - Xu Lu 004; Li Liu 031; Liqiang Nie; Xiaojun Chang; Huaxiang Zhang 001 (IEEE Trans. Multim., 2021)

Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. - Yanchao Zhang; Weiqing Min; Liqiang Nie; Shuqiang Jiang (IEEE Trans. Multim., 2021)

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. - Tianchi Yang; Linmei Hu; Chuan Shi 001; Houye Ji; Xiaoli Li 001; Liqiang Nie (ACM Trans. Inf. Syst., 2021)

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. - Weili Guan; Zhaozheng Chen; Fuli Feng; Weifeng Liu 001; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Market2Dish: Health-aware Food Recommendation. - Wenjie Wang 007; Ling-Yu Duan; Hao Jiang; Peiguang Jing; Xuemeng Song; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Attribute-wise Explainable Fashion Compatibility Modeling. - Xin Yang 008; Xuemeng Song; Fuli Feng; Haokun Wen; Ling-Yu Duan; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. - Zhongying Zhao 001; Yonghao Yang; Chao Li 022; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. - Fangkai Jiao; Yangyang Guo; Xuemeng Song; Liqiang Nie (ACL (Findings), 2022)

MMCoQA: Conversational Question Answering over Text, Tables, and Images. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (ACL (1), 2022)

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. - Xingning Dong; Tian Gan; Xuemeng Song; Jianlong Wu; Yuan Cheng; Liqiang Nie (CVPR, 2022)

Lipschitz Continuity Retained Binary Neural Network. - Yuzhang Shang; Dan Xu 002; Bin Duan; Ziliang Zong; Liqiang Nie; Yan Yan 002 (ECCV (11), 2022)

Network Binarization via Contrastive Learning. - Yuzhang Shang; Dan Xu 002; Ziliang Zong; Liqiang Nie; Yan Yan 002 (ECCV (11), 2022)

Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. - Yuzhang Shang; Bin Duan; Ziliang Zong; Liqiang Nie; Yan Yan 002 (ICASSP, 2022)

Image-text Retrieval: A Survey on Recent Research and Development. - Min Cao; Shiping Li; Juntao Li; Liqiang Nie; Min Zhang 005 (IJCAI, 2022)

A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. - Yangyang Guo; Liqiang Nie; Yongkang Wong; Yibing Liu; Zhiyong Cheng 001; Mohan S. Kankanhalli (ACM Multimedia, 2022)

A Baseline for ViCo Conversational Head Generation Challenge. - Meng Liu 006; Shuyan Zhai; Yongqiang Li; Weili Guan; Liqiang Nie (ACM Multimedia, 2022)

Search-oriented Micro-video Captioning. - Liqiang Nie; Leigang Qu; Dai Meng; Min Zhang 005; Qi Tian 001; Alberto Del Bimbo (ACM Multimedia, 2022)

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. - Teng Sun; Wenjie Wang 007; Liqiang Jing; Yiran Cui; Xuemeng Song; Liqiang Nie (ACM Multimedia, 2022)

Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. - Xiao Wang 056; Tian Gan; Yinwei Wei; Jianlong Wu; Dai Meng; Liqiang Nie (ACM Multimedia, 2022)

Privacy-Preserving Synthetic Data Generation for Recommendation Systems. - Fan Liu 008; Zhiyong Cheng 001; Huilin Chen 002; Yinwei Wei; Liqiang Nie; Mohan S. Kankanhalli (SIGIR, 2022)

V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. - Xuemeng Song; Liqiang Jing; Dengtian Lin; Zhongzhou Zhao; Haiqing Chen; Liqiang Nie (SIGIR, 2022)

User-controllable Recommendation Against Filter Bubbles. - Wenjie Wang 007; Fuli Feng; Liqiang Nie; Tat-Seng Chua (SIGIR, 2022)

Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem. - Yudong Han; Liqiang Nie; Jianhua Yin; Jianlong Wu; Yan Yan 002 (CoRR, 2022)

MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. - Linmei Hu; Ziwang Zhao; Xinkai Ge; Xuemeng Song; Liqiang Nie (CoRR, 2022)

Multi-Relation Extraction via A Global-Local Graph Convolutional Network. - Harry Cheng 002; Lizi Liao; Linmei Hu; Liqiang Nie (IEEE Trans. Big Data, 2022)

Adversarial Graph Convolutional Network for Cross-Modal Retrieval. - Xinfeng Dong; Li Liu 031; Lei Zhu 002; Liqiang Nie; Huaxiang Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hierarchical Feature Aggregation Based on Transformer for Image-Text Matching. - Xinfeng Dong; Huaxiang Zhang 001; Lei Zhu 002; Liqiang Nie; Li Liu 031 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. - Xianjing Han; Xingning Dong; Xuemeng Song; Tian Gan; Yibing Zhan; Yan Yan 002; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2022)

Partially Supervised Compatibility Modeling. - Weili Guan; Haokun Wen; Xuemeng Song; Chun Wang; Chung-Hsing Yeh; Xiaojun Chang; Liqiang Nie (IEEE Trans. Image Process., 2022)

Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View. - Yangyang Guo; Liqiang Nie; Zhiyong Cheng 001; Qi Tian 001; Min Zhang 005 (IEEE Trans. Image Process., 2022)

Enhancing Factorization Machines With Generalized Metric Learning. - Yangyang Guo; Zhiyong Cheng 001; Jiazheng Jing; Yanpeng Lin; Liqiang Nie; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. - Fan Liu 008; Zhiyong Cheng 001; Lei Zhu 002; Chenghao Liu; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2022)

Modeling Product's Visual and Functional Characteristics for Recommender Systems. - Bin Wu 019; Xiangnan He 001; Yun Chen; Liqiang Nie; Kai Zheng 001; Yangdong Ye (IEEE Trans. Knowl. Data Eng., 2022)

Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. - Peiguang Jing; Jing Zhang 038; Liqiang Nie; Shu Ye; Jing Liu 002; Yuting Su 001 (IEEE Trans. Multim., 2022)

Discover Micro-Influencers for Brands via Better Understanding. - Shaokun Wang; Tian Gan; Yuan Liu 028; Li Zhang; Jianlong Wu; Liqiang Nie (IEEE Trans. Multim., 2022)

Hierarchical User Intent Graph Network for Multimedia Recommendation. - Yinwei Wei; Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Yong Rui; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval. - Lei Zhu 002; Chaoqun Zheng; Xu Lu 004; Zhiyong Cheng 001; Liqiang Nie; Huaxiang Zhang 001 (ACM Trans. Inf. Syst., 2022)

Feature-Level Attentive ICF for Recommendation. - Zhiyong Cheng 001; Fan Liu 008; Shenghan Mei; Yangyang Guo; Lei Zhu 002; Liqiang Nie (ACM Trans. Inf. Syst., 2022)

Dynamic Graph Reasoning for Conversational Open-Domain Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (ACM Trans. Inf. Syst., 2022)

Question Tagging via Graph-guided Ranking. - Xiao Zhang 015; Meng Liu 006; Jianhua Yin; Zhaochun Ren; Liqiang Nie (ACM Trans. Inf. Syst., 2022)

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Yibing Liu; Yangyang Guo; Jianhua Yin; Xuemeng Song; Weifeng Liu 001; Liqiang Nie; Min Zhang 005 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. - Teng Sun; Chun Wang; Xuemeng Song; Fuli Feng; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. - Yang Qiao; Liqiang Jing; Xuemeng Song; Xiaolin Chen; Lei Zhu 002; Liqiang Nie (AAAI, 2023)

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. - Ziwei Chen; Linmei Hu; Weixin Li 001; Yingxia Shao; Liqiang Nie (ACL (1), 2023)

Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. - Liqiang Jing; Xuemeng Song; Kun Ouyang; Mengzhao Jia; Liqiang Nie (ACL (1), 2023)

Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. - Haozhe Yang; Xianqiang Gao; Jianlong Wu; Tian Gan; Ning Ding; Feijun Jiang; Liqiang Nie (ACL (Findings), 2023)

CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset. - Tian Gan; Qing Wang 068; Xingning Dong; Xiangyuan Ren; Liqiang Nie; Qingpei Guo (CVPR, 2023)

CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. - Jianlong Wu; Haozhe Yang; Tian Gan; Ning Ding; Feijun Jiang; Liqiang Nie (CVPR, 2023)

Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. - Heyan Chai 001; Ziyi Yao; Siyu Tang; Ye Wang 015; Liqiang Nie; Binxing Fang; Qing Liao 001 (EMNLP (Findings), 2023)

An Empirical Study of Frame Selection for Text-to-Video Retrieval. - Mengxia Wu; Min Cao; Yang Bai; Ziyin Zeng; Chen Chen 036; Liqiang Nie; Min Zhang 005 (EMNLP (Findings), 2023)

Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). - Yangyang Guo; Zhiyong Cheng 001; Jiazheng Jing; Yanpeng Lin; Liqiang Nie; Meng Wang 001 (ICDE, 2023)

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). - Bin Wu 019; Xiangnan He 001; Yu Chen 022; Liqiang Nie; Kai Zheng 001; Yangdong Ye (ICDE, 2023)

Interactive Object Placement with Reinforcement Learning. - Shengping Zhang; Quanling Meng; Qinglin Liu; Liqiang Nie; Bineng Zhong; Xiaopeng Fan; Rongrong Ji (ICML, 2023)

RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. - Yang Bai; Min Cao; Daming Gao; Ziqiang Cao; Chen Chen 036; Zhenfeng Fan; Liqiang Nie; Min Zhang 005 (IJCAI, 2023)

Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. - Harry Cheng 002; Yangyang Guo; Liqiang Nie; Zhiyong Cheng 001; Mohan S. Kankanhalli (ACM Multimedia, 2023)

Text-based Person Search without Parallel Image-Text Data. - Yang Bai; Jingyao Wang; Min Cao; Chen Chen 036; Ziqiang Cao; Liqiang Nie; Min Zhang 005 (ACM Multimedia, 2023)

Temporal Sentence Grounding in Streaming Videos. - Tian Gan; Xiao Wang 056; Yan Sun; Jianlong Wu; Qingpei Guo; Liqiang Nie (ACM Multimedia, 2023)

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. - Peiguang Jing; Xianyi Liu; Ji Wang; Yinwei Wei; Liqiang Nie; Yuting Su 001 (ACM Multimedia, 2023)

Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. - Zhenyang Li; Yangyang Guo; Kejie Wang; Xiaolin Chen; Liqiang Nie; Mohan S. Kankanhalli (ACM Multimedia, 2023)

Mask Again: Masked Knowledge Distillation for Masked Video Modeling. - Xiaojie Li; Shaowei He; Jianlong Wu; Yue Yu 001; Liqiang Nie; Min Zhang 005 (ACM Multimedia, 2023)

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. - Xiaojie Li; Jianlong Wu; Shaowei He; Shuo Kang; Yue Yu 001; Liqiang Nie; Min Zhang 005 (ACM Multimedia, 2023)

Semantic-Guided Feature Distillation for Multimodal Recommendation. - Fan Liu 008; Huilin Chen 002; Zhiyong Cheng 001; Liqiang Nie; Mohan S. Kankanhalli (ACM Multimedia, 2023)

Towards Realistic Conversational Head Generation: A Comprehensive Framework for Lifelike Video Synthesis. - Meng Liu 006; Yongqiang Li; Shuyan Zhai; Weili Guan; Liqiang Nie (ACM Multimedia, 2023)

Advancing Video Question Answering with a Multi-modal and Multi-layer Question Enhancement Network. - Meng Liu 006; Fenglei Zhang; Xin Luo 006; Fan Liu 008; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. - Leigang Qu; Shengqiong Wu; Hao Fei 001; Liqiang Nie; Tat-Seng Chua (ACM Multimedia, 2023)

General Debiasing for Multimodal Sentiment Analysis. - Teng Sun; Juntong Ni; Wenjie Wang 007; Liqiang Jing; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

RTQ: Rethinking Video-language Understanding Based on Image-text Model. - Xiao Wang 056; Yaoyu Li; Tian Gan; Zheng Zhang 006; Jingjing Lv; Liqiang Nie (ACM Multimedia, 2023)

Unlocking the Power of Multimodal Learning for Emotion Recognition in Conversation. - Yunxiao Wang; Meng Liu 006; Zhe Li 011; Yupeng Hu; Xin Luo 006; Liqiang Nie (ACM Multimedia, 2023)

Target-Guided Composed Image Retrieval. - Haokun Wen; Xian Zhang; Xuemeng Song; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

Dual Semantic Knowledge Composed Multimodal Dialog Systems. - Xiaolin Chen; Xuemeng Song; Yinwei Wei; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. - Dengtian Lin; Liqiang Jing; Xuemeng Song; Meng Liu 006; Teng Sun; Liqiang Nie (SIGIR, 2023)

OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. - Dengtian Lin; Yang Ma; Yuhong Li; Xuemeng Song; Jianlong Wu; Liqiang Nie (SIGIR, 2023)

Learnable Pillar-based Re-ranking for Image-Text Retrieval. - Leigang Qu; Meng Liu 006; Wenjie Wang 007; Zhedong Zheng; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

LightGT: A Light Graph Transformer for Multimedia Recommendation. - Yinwei Wei; Wenqi Liu; Fan Liu 008; Xiang Wang 010; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Strategy-aware Bundle Recommender System. - Yinwei Wei; Xiaohao Liu; Yunshan Ma; Xiang Wang 010; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Multi-queue Momentum Contrast for Microvideo-Product Retrieval. - Yali Du 002; Yinwei Wei; Wei Ji 008; Fan Liu 008; Xin Luo 006; Liqiang Nie (WSDM, 2023)

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. - Min Cao; Yang Bai; Jingyao Wang; Ziqiang Cao; Liqiang Nie; Min Zhang 005 (CoRR, 2023)

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Liqiang Nie; Min Zhang 005 (CoRR, 2023)

Rethinking Context Aggregation in Natural Image Matting. - Qinglin Liu; Shengping Zhang; Quanling Meng; Ru Li 002; Bineng Zhong; Liqiang Nie (CoRR, 2023)

Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval. - Haokun Wen; Xuemeng Song; Jianhua Yin; Jianlong Wu; Weili Guan; Liqiang Nie (CoRR, 2023)

Towards Generalizable Deepfake Detection by Primary Region Regularization. - Harry Cheng 002; Yangyang Guo; Tianyi Wang 006; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2023)

Building Emotional Support Chatbots in the Era of LLMs. - Zhonghua Zheng; Lizi Liao; Yang Deng 002; Liqiang Nie (CoRR, 2023)

ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens. - Yangyang Guo; Haoyu Zhang; Liqiang Nie; Yongkang Wong; Mohan S. Kankanhalli (CoRR, 2023)

Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog. - Haoyu Zhang; Meng Liu 006; Yaowei Wang 001; Da Cao; Weili Guan; Liqiang Nie (CoRR, 2023)

UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. - Yanyang Guo; Fangkai Jiao; Zhiqi Shen 002; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2023)

Generating Human-Centric Visual Cues for Human-Object Interaction Detection via Large Vision-Language Models. - Yu-Wei Zhan; Fan Liu 008; Xin Luo 006; Liqiang Nie; Xin-Shun Xu; Mohan S. Kankanhalli (CoRR, 2023)

Unsupervised Temporal Action Localization via Self-paced Incremental Learning. - Haoyu Tang; Han Jiang; Mingzhu Xu; Yupeng Hu; Jihua Zhu; Liqiang Nie (CoRR, 2023)

A Survey on Video Moment Localization. - Meng Liu 006; Liqiang Nie; Yunxiao Wang; Meng Wang 001; Yong Rui (ACM Comput. Surv., 2023)

Correction to: Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. - Shengping Zhang; Chenyang Wang; Liqiang Nie; Hongxun Yao; Qingming Huang; Qi Tian 001 (Int. J. Comput. Vis., 2023)

Preface to the Special Issue on Multimodal Learning Integrated with Pre-training Techniques. - Xuemeng Song; Liqiang Nie; Hengtao Shen; Qi Tian 001; Hua Huang (Int. J. Softw. Informatics, 2023)

Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. - Fangkai Jiao; Yangyang Guo; Minlie Huang; Liqiang Nie (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Adaptive Edge-Aware Semantic Interaction Network for Salient Object Detection in Optical Remote Sensing Images. - Xiangyu Zeng 004; Mingzhu Xu; Yijun Hu; Haoyu Tang; Yupeng Hu; Liqiang Nie (IEEE Trans. Geosci. Remote. Sens., 2023)

Semantic-Aware Modular Capsule Routing for Visual Question Answering. - Yudong Han; Jianhua Yin; Jianlong Wu; Yinwei Wei; Liqiang Nie (IEEE Trans. Image Process., 2023)

Joint Answering and Explanation for Visual Commonsense Reasoning. - Zhenyang Li; Yangyang Guo; Kejie Wang; Yinwei Wei; Liqiang Nie; Mohan S. Kankanhalli (IEEE Trans. Image Process., 2023)

Toward Fine-Grained Talking Face Generation. - Zhicheng Sheng; Liqiang Nie; Meng Liu 006; Yinwei Wei; Zan Gao (IEEE Trans. Image Process., 2023)

Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition. - Jianlong Wu; Wei Sun; Tian Gan; Ning Ding; Feijun Jiang; Jialie Shen 001; Liqiang Nie (IEEE Trans. Image Process., 2023)

DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation. - Xianjing Han; Xuemeng Song; Xingning Dong; Yinwei Wei; Meng Liu 006; Liqiang Nie (IEEE Trans. Multim., 2023)

Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling. - Peiguang Jing; Kai Cui; Weili Guan; Liqiang Nie; Yuting Su 001 (IEEE Trans. Multim., 2023)

Disentangled Multimodal Representation Learning for Recommendation. - Fan Liu 008; Huilin Chen 002; Zhiyong Cheng 001; Anan Liu; Liqiang Nie; Mohan S. Kankanhalli (IEEE Trans. Multim., 2023)

Self-Supervised Correlation Learning for Cross-Modal Retrieval. - Yaxin Liu; Jianlong Wu; Leigang Qu; Tian Gan; Jianhua Yin; Liqiang Nie (IEEE Trans. Multim., 2023)

Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. - Wei Lu 026; Desheng Li; Liqiang Nie; Peiguang Jing; Yuting Su 001 (IEEE Trans. Multim., 2023)

Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling. - Xuemeng Song; Shi-Ting Fang; Xiaolin Chen; Yinwei Wei; Zhongzhou Zhao; Liqiang Nie (IEEE Trans. Multim., 2023)

Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. - Yuting Su 001; Wei Zhao; Peiguang Jing; Liqiang Nie (IEEE Trans. Multim., 2023)

Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning. - Shaokun Wang; Tian Gan; Yuan Liu 028; Jianlong Wu; Yuan Cheng; Liqiang Nie (IEEE Trans. Multim., 2023)

Siamese Alignment Network for Weakly Supervised Video Moment Retrieval. - Yunxiao Wang; Meng Liu 006; Yinwei Wei; Zhiyong Cheng 001; Yinglong Wang 001; Liqiang Nie (IEEE Trans. Multim., 2023)

DualGNN: Dual Graph Neural Network for Multimedia Recommendation. - Qifan Wang 001; Yinwei Wei; Jianhua Yin; Jianlong Wu; Xuemeng Song; Liqiang Nie (IEEE Trans. Multim., 2023)

On Modality Bias Recognition and Reduction. - Yangyang Guo; Liqiang Nie; Harry Cheng 002; Zhiyong Cheng 001; Mohan S. Kankanhalli; Alberto Del Bimbo (ACM Trans. Multim. Comput. Commun. Appl., 2023)

DDIFN: A Dual-discriminator Multi-modal Medical Image Fusion Network. - Hui Liu 016; Shanshan Li; Jicheng Zhu; Kai Deng; Meng Liu 006; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Egocentric Early Action Prediction via Adversarial Knowledge Distillation. - Na Zheng; Xuemeng Song; Tianyu Su; Weifeng Liu 001; Yan Yan 002; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. - Shengping Zhang; Chenyang Wang; Liqiang Nie; Hongxun Yao; Qingming Huang; Qi Tian 001 (Int. J. Comput. Vis., 2023)

HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. - Han Liu; Yinwei Wei; Jianhua Yin; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Learning Geometric Transformation for Point Cloud Completion. - Shengping Zhang; Xianzhu Liu; Haozhe Xie; Liqiang Nie; Huiyu Zhou 001; Dacheng Tao; Xuelong Li 001 (Int. J. Comput. Vis., 2023)

Multi-level adversarial attention cross-modal hashing. - Benhui Wang; Huaxiang Zhang 001; Lei Zhu 002; Liqiang Nie; Li Liu 031 (Signal Process. Image Commun., 2023)

Guest Editorial Introduction to the Special Issue on Video Transformers. - Liqiang Nie; Jianlong Wu; Nicu Sebe; Kiyoharu Aizawa (IEEE Trans. Circuits Syst. Video Technol., 2023)

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. - Junxiang Bing; Meng Chen 003; Min Yang 006; Weiming Huang 001; Yongshun Gong; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. - Xuemeng Song; Chun Wang; Changchang Sun; Shanshan Feng 001; Min Zhou 006; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. - Jingyong Su; Junyao Ye; Liqiang Nie; Yilong Cao; Yongyong Chen (IEEE Trans. Knowl. Data Eng., 2023)

TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. - Ronghui Xu 001; Meng Chen 003; Yongshun Gong; Yang Liu 008; Xiaohui Yu 001; Liqiang Nie (ACM Trans. Inf. Syst., 2023)

Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection. - Linmei Hu; Ziwei Chen; Ziwang Zhao; Jianhua Yin; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Causal Inference for Knowledge Graph Based Recommendation. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Shaoyu Li; Dingxian Wang; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Deep Convolutional Pooling Transformer for Deepfake Detection. - Tianyi Wang 006; Harry Cheng 002; Kam-Pui Chow; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Attribute-Guided Collaborative Learning for Partial Person Re-Identification. - Haoyu Zhang; Meng Liu 006; Yuhong Li; Ming Yan 008; Zan Gao; Xiaojun Chang; Liqiang Nie (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Granularity Interaction and Integration Network for Video Question Answering. - Yuanyuan Wang; Meng Liu 006; Jianlong Wu; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2023)

A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. - Ronghui Xu 001; Weiming Huang 001; Jun Zhao; Meng Chen 003; Liqiang Nie (ACM Trans. Intell. Syst. Technol., 2023)

Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets. - Teng Sun; Liqiang Jing; Yinwei Wei; Xuemeng Song; Zhiyong Cheng 001; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Review Polarity-Wise Recommender. - Han Liu; Yangyang Guo; Jianhua Yin; Zan Gao; Liqiang Nie (IEEE Trans. Neural Networks Learn. Syst., 2023)

Exploiting the Social-Like Prior in Transformer for Visual Reasoning. - Yudong Han; Yupeng Hu; Xuemeng Song; Haoyu Tang; Mingzhu Xu; Liqiang Nie (AAAI, 2024)

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. - Linmei Hu; Hongyu He; Duokang Wang; Ziwang Zhao; Yingxia Shao; Liqiang Nie (AAAI, 2024)

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. - Yongqi Li 001; Wenjie Wang 007; Leigang Qu; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (1), 2024)

Distillation Enhanced Generative Retrieval. - Yongqi Li 001; Zhen Zhang; Wenjie Wang 007; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (Findings), 2024)

LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. - Jiaqi Zhao; Miao Zhang; Chao Zeng; Ming Wang; Xuebo Liu 002; Liqiang Nie (ACL (1), 2024)

Self-chats from Large Language Models Make Small Emotional Support Chatbot Better. - Zhonghua Zheng; Lizi Liao; Yang Deng 002; Libo Qin 001; Liqiang Nie (ACL (1), 2024)

LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. - Gongwei Chen; Leyang Shen; Rui Shao 001; Xiang Deng; Liqiang Nie (CVPR, 2024)

GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians. - Liangxiao Hu; Hongwen Zhang 001; Yuxiang Zhang 006; Boyao Zhou; Boning Liu 001; Shengping Zhang; Liqiang Nie (CVPR, 2024)

Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring. - Xiaoqian Lv; Shengping Zhang; Chenyang Wang; Yichen Zheng; Bineng Zhong; Chongyi Li; Liqiang Nie (CVPR, 2024)

Discriminative Probing and Tuning for Text-to-Image Generation. - Leigang Qu; Wenjie Wang 007; Yongqi Li 001; Hanwang Zhang; Liqiang Nie; Tat-Seng Chua (CVPR, 2024)

DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-Based Human Video Generation. - Chenyang Wang; Zerong Zheng; Tao Yu 007; Xiaoqian Lv; Bineng Zhong; Shengping Zhang; Liqiang Nie (CVPR, 2024)

GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis. - Shunyuan Zheng; Boyao Zhou; Ruizhi Shao; Boning Liu 001; Shengping Zhang; Liqiang Nie; Yebin Liu (CVPR, 2024)

Thoughts to Target: Enhance Planning for Target-driven Conversation. - Zhonghua Zheng; Lizi Liao; Yang Deng 002; Ee-Peng Lim; Minlie Huang; Liqiang Nie (EMNLP, 2024)

VK-G2T: Vision and Context Knowledge Enhanced Gloss2text. - Liqiang Jing; Xuemeng Song; Xinxing Zu; Na Zheng; Zhongzhou Zhao; Liqiang Nie (ICASSP, 2024)

A Multi-View Clustering Algorithm for Short Text. - Minkuan Lu; Jianhua Yin; Kaijun Wang; Liqiang Nie (ICDE, 2024)

Two-Stage Information Bottleneck For Temporal Language Grounding. - Haoyu Tang; Shuaike Zhang; Ming Yan 008; Ji Zhang 011; Mingzhu Xu; Yupeng Hu; Liqiang Nie (ICME, 2024)

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. - Cunxiao Du; Jing Jiang 001; Yuanchen Xu; Jiawei Wu 003; Sicheng Yu; Yongqi Li 001; Shenggui Li; Kai Xu; Liqiang Nie; Zhaopeng Tu; Yang You (ICML, 2024)

Revisiting Context Aggregation for Image Matting. - Qinglin Liu; Xiaoqian Lv; Quanling Meng; Zonglin Li; Xiangyuan Lan; Shuo Yang 006; Shengping Zhang; Liqiang Nie (ICML, 2024)

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Michael Y. Wang; Liqiang Nie (ICML, 2024)

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary. - Shuo Yang 006; Zhe Cao 001; Sheng Guo; Ruiheng Zhang 001; Ping Luo 002; Shengping Zhang; Liqiang Nie (ICML, 2024)

Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering. - Haoyu Zhang; Meng Liu 006; Zixin Liu; Xuemeng Song; Yaowei Wang 001; Liqiang Nie (ICML, 2024)

Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. - Jinqian Chen; Haoyu Tang; Junhao Cheng; Ming Yan 008; Ji Zhang 011; Mingzhu Xu; Yupeng Hu; Liqiang Nie (IJCAI, 2024)

Diffusion Facial Forgery Detection. - Harry Cheng 002; Yangyang Guo; Tianyi Wang 006; Liqiang Nie; Mohan S. Kankanhalli (ACM Multimedia, 2024)

NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models. - Linmei Hu; Duokang Wang; Yiming Pan 003; Jifan Yu; Yingxia Shao; Chong Feng 001; Liqiang Nie (ACM Multimedia, 2024)

Revisiting Unsupervised Temporal Action Localization: The Primacy of High-Quality Actionness and Pseudolabels. - Han Jiang; Haoyu Tang; Ming Yan 008; Ji Zhang 011; Mingzhu Xu; Yupeng Hu; Jihua Zhu; Liqiang Nie (ACM Multimedia, 2024)

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. - Zhenyang Li; Fan Liu 008; Yinwei Wei; Zhiyong Cheng 001; Liqiang Nie; Mohan S. Kankanhalli (ACM Multimedia, 2024)

Explicit Granularity and Implicit Scale Correspondence Learning for Point-Supervised Video Moment Localization. - Kun Wang 039; Hao Liu 072; Lirong Jie; Zixu Li; Yupeng Hu; Liqiang Nie (ACM Multimedia, 2024)

Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning. - Xian Zhang; Haokun Wen; Jianlong Wu; Pengda Qin; Hui Xue'; Liqiang Nie (ACM Multimedia, 2024)

Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. - Jiarui Jiang; Wei Huang 034; Miao Zhang; Taiji Suzuki; Liqiang Nie (NeurIPS, 2024)

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Dongmei Jiang; Liqiang Nie (NeurIPS, 2024)

Boosting Transferability and Discriminability for Time Series Domain Adaptation. - Mingyang Liu; Xinyang Chen 001; Yang Shu 001; Xiucheng Li; Weili Guan; Liqiang Nie (NeurIPS, 2024)

Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL. - Qi Lv 001; Xiang Deng; Gongwei Chen; Michael Yu Wang; Liqiang Nie (NeurIPS, 2024)

High-Resolution Image Harmonization with Adaptive-Interval Color Transformation. - Quanling Meng; Qinglin Liu; Zonglin Li; Xiangyuan Lan; Shengping Zhang; Liqiang Nie (NeurIPS, 2024)

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models. - Leyang Shen; Gongwei Chen; Rui Shao 001; Weili Guan; Liqiang Nie (NeurIPS, 2024)

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning. - Yibo Yang; Xiaojie Li; Zhongzhu Zhou; Shuaiwen Song; Jianlong Wu; Liqiang Nie; Bernard Ghanem (NeurIPS, 2024)

To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation. - Chenxi Zhao 002; Jinglei Shi; Liqiang Nie; Jufeng Yang (NeurIPS, 2024)

Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. - Haoqiang Lin; Haokun Wen; Xuemeng Song; Meng Liu 006; Yupeng Hu; Liqiang Nie (SIGIR, 2024)

Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. - Duokang Wang; Linmei Hu; Rui Hao; Yingxia Shao; Xin Lv; Liqiang Nie; Juanzi Li (SIGIR, 2024)

Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. - Haokun Wen; Xuemeng Song; Xiaolin Chen; Yinwei Wei; Liqiang Nie; Tat-Seng Chua (SIGIR, 2024)

Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought. - Zaijing Li; Gongwei Chen; Rui Shao 001; Dongmei Jiang; Liqiang Nie (CoRR, 2024)

Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue. - Kun Ouyang; Liqiang Jing; Xuemeng Song; Meng Liu 006; Yupeng Hu; Liqiang Nie (CoRR, 2024)

WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More. - Yuxuan Yue; Zhihang Yuan; Haojie Duanmu; Sifan Zhou; Jianlong Wu; Liqiang Nie (CoRR, 2024)

LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. - Linmei Hu; Hongyu He; Duokang Wang; Ziwang Zhao; Yingxia Shao; Liqiang Nie (CoRR, 2024)

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Michael Yu Wang; Liqiang Nie (CoRR, 2024)

FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge. - Zunran Wang; Zhonghua Li; Wei Shen; Qi Ye; Liqiang Nie (CoRR, 2024)

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation. - Gensheng Pei; Yazhou Yao; Jianbo Jiao; Wenguan Wang; Liqiang Nie; Jinhui Tang 001 (CoRR, 2024)

MMGRec: Multimodal Generative Recommendation with Transformer Model. - Han Liu; Yinwei Wei; Xuemeng Song; Weili Guan; Yuan-Fang Li; Liqiang Nie (CoRR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning. - Xiruo Jiang; Yazhou Yao; Sheng Liu; Fumin Shen; Liqiang Nie; Xiansheng Hua 001 (CoRR, 2024)

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. - Yibo Yang; Xiaojie Li; Zhongzhu Zhou; Shuaiwen Leon Song; Jianlong Wu; Liqiang Nie; Bernard Ghanem (CoRR, 2024)

Unified Text-to-Image Generation and Retrieval. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2024)

A Survey on Human Preference Learning for Large Language Models. - Ruili Jiang; Kehai Chen; Xuefeng Bai 001; Zhixuan He; Juntao Li; Muyun Yang; Tiejun Zhao; Liqiang Nie; Min Zhang 005 (CoRR, 2024)

HCQA @ Ego4D EgoSchema Challenge 2024. - Haoyu Zhang; Yuquan Xie; Yisen Feng; Zaijing Li; Meng Liu 006; Liqiang Nie (CoRR, 2024)

ObjectNLQ @ Ego4D Episodic Memory Challenge 2024. - Yisen Feng; Haoyu Zhang; Yuquan Xie; Zaijing Li; Meng Liu 006; Liqiang Nie (CoRR, 2024)

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. - Wenliang Zhong; Haoyu Tang; Qinghai Zheng; Mingzhu Xu; Yupeng Hu; Liqiang Nie (CoRR, 2024)

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning. - Xiaojie Li; Yibo Yang; Jianlong Wu; Bernard Ghanem; Liqiang Nie; Min Zhang 005 (CoRR, 2024)

Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding. - Renshan Zhang; Yibo Lyu; Rui Shao 001; Gongwei Chen; Weili Guan; Liqiang Nie (CoRR, 2024)

EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024. - Letian Shi; Qi Lv 001; Xiang Deng; Liqiang Nie (CoRR, 2024)

Social Debiasing for Fair Multi-modal LLMs. - Harry Cheng 002; Yangyang Guo; Qingpei Guo; Ming Yang 007; Tian Gan; Liqiang Nie (CoRR, 2024)

GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (CoRR, 2024)

Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information. - Xinyu Zhang; Linmei Hu; Luhao Zhang; Dandan Song; Heyan Huang; Liqiang Nie (CoRR, 2024)

Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing. - Kejie Wang; Xuemeng Song; Meng Liu 006; Weili Guan; Liqiang Nie (CoRR, 2024)

RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training. - Muhe Ding; Yang Ma; Pengda Qin; Jianlong Wu; Yuhong Li; Liqiang Nie (CoRR, 2024)

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense. - Yangyang Guo; Fangkai Jiao; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2024)

GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views. - Boyao Zhou; Shunyuan Zheng; Hanzhang Tu; Ruizhi Shao; Boning Liu 001; Shengping Zhang; Liqiang Nie; Yebin Liu (CoRR, 2024)

Technical Report for ICML 2024 TiFA Workshop MLLM Attack Challenge: Suffix Injection and Projected Gradient Descent Can Easily Fool An MLLM. - Yangyang Guo; Ziwei Xu 001; Xilie Xu; Yongkang Wong; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2024)

ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding. - Xiao Wang 056; Qingyi Si; Jianlong Wu; Shiyu Zhu; Li Cao; Liqiang Nie (CoRR, 2024)

Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. - Linmei Hu; Ziwang Zhao; Weijian Qi; Xuemeng Song; Liqiang Nie (Inf. Sci., 2024)

Stereo Image Restoration via Attention-Guided Correspondence Learning. - Shengping Zhang; Wei Yu 004; Feng Jiang 001; Liqiang Nie; Hongxun Yao; Qingming Huang; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Heterogeneous Feature Collaboration Network for Salient Object Detection in Optical Remote Sensing Images. - Yutong Liu; Mingzhu Xu; Tianxiang Xiao; Haoyu Tang; Yupeng Hu; Liqiang Nie (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Yazhou Yao; Xingguo Huang; Zechao Li; Liqiang Nie; Jinhui Tang 001 (IEEE Trans. Image Process., 2024)

BadCM: Invisible Backdoor Attack Against Cross-Modal Learning. - Zheng Zhang 006; Xu Yuan 007; Lei Zhu 002; Jingkuan Song; Liqiang Nie (IEEE Trans. Image Process., 2024)

Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting. - Yongshun Gong; Tiantian He; Meng Chen 003; Bin Wang 045; Liqiang Nie; Yilong Yin (IEEE Trans. Knowl. Data Eng., 2024)

Audio-Driven Talking Video Frame Restoration. - Harry Cheng 002; Yangyang Guo; Jianhua Yin; Haonan Chen; Jiafang Wang; Liqiang Nie (IEEE Trans. Multim., 2024)

SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. - Fugui Fan; Peiguang Jing; Liqiang Nie; Haoyu Gu; Yuting Su 001 (IEEE Trans. Multim., 2024)

Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-Label Classification. - Fugui Fan; Yuting Su 001; Liqiang Nie; Peiguang Jing; Daozheng Hong; Yu Liu 004 (IEEE Trans. Multim., 2024)

Modeling Multiple Aesthetic Views for Series Photo Selection. - Jin Huang; Yongshun Gong; Lu Zhang 062; Jian Zhang 002; Liqiang Nie; Yilong Yin (IEEE Trans. Multim., 2024)

Anti-Collapse Loss for Deep Metric Learning. - Xiruo Jiang; Yazhou Yao; Xili Dai; Fumin Shen; Liqiang Nie; Heng Tao Shen (IEEE Trans. Multim., 2024)

Learning to Agree on Vision Attention for Visual Commonsense Reasoning. - Zhenyang Li; Yangyang Guo; Kejie Wang; Fan Liu 008; Liqiang Nie; Mohan S. Kankanhalli (IEEE Trans. Multim., 2024)

AAMT: Adversarial Attack-Driven Mutual Teaching for Source-Free Domain-Adaptive Person Reidentification. - Xiaofeng Qu; Huaxiang Zhang 001; Lei Zhu 002; Liqiang Nie; Li Liu 031 (IEEE Trans. Multim., 2024)

Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. - Teng Sun; Yinwei Wei; Juntong Ni; Zixin Liu; Xuemeng Song; Yaowei Wang 001; Liqiang Nie (IEEE Trans. Multim., 2024)

An Efficient Attribute-Preserving Framework for Face Swapping. - Tianyi Wang 006; Zian Li; Ruixia Liu; Yinglong Wang 001; Liqiang Nie (IEEE Trans. Multim., 2024)

Source-free Style-diversity Adversarial Domain Adaptation with Privacy-preservation for person re-identification. - Xiaofeng Qu; Li Liu 031; Lei Zhu 002; Liqiang Nie; Huaxiang Zhang 001 (Knowl. Based Syst., 2024)

TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework. - Xue Dong; Xuemeng Song; Na Zheng; Jianlong Wu; Hongjun Dai; Liqiang Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. - Liqiang Jing; Xuemeng Song; Xuming Lin; Zhongzhou Zhao; Wei Zhou; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. - Xiaoyu Li; Yongshun Gong; Wei Liu 007; Yilong Yin; Yu Zheng 004; Liqiang Nie (Artif. Intell., 2024)

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. - Xiaolin Chen; Xuemeng Song; Liqiang Jing; Shuo Li; Linmei Hu; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

Semantic Collaborative Learning for Cross-Modal Moment Localization. - Yupeng Hu; Kun Wang 039; Meng Liu 006; Haoyu Tang; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. - Han Liu; Yinwei Wei; Fan Liu 008; Wenjie Wang 007; Liqiang Nie; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Voice-Face Homogeneity Tells Deepfake. - Harry Cheng 002; Yangyang Guo; Tianyi Wang 006; Qi Li; Xiaojun Chang; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Semantic-Aware Contrastive Learning With Proposal Suppression for Video Semantic Role Grounding. - Meng Liu 006; Di Zhou; Jie Guo; Xin Luo 006; Zan Gao; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses. - Zhicheng Sheng; Liqiang Nie; Min Zhang 005; Xiaojun Chang; Yan Yan 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Survey of Knowledge Enhanced Pre-Trained Language Models. - Linmei Hu; Zeyi Liu; Ziwang Zhao; Lei Hou 001; Liqiang Nie; Juanzi Li (IEEE Trans. Knowl. Data Eng., 2024)

Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval. - Haokun Wen; Xuemeng Song; Jianhua Yin; Jianlong Wu; Weili Guan; Liqiang Nie (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Rule-Guided Counterfactual Explainable Recommendation. - Yinwei Wei; Xiaoyang Qu; Xiang Wang 010; Yunshan Ma; Liqiang Nie; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2024)

Query-Oriented Micro-Video Summarization. - Mengzhao Jia; Yinwei Wei; Xuemeng Song; Teng Sun; Min Zhang 005; Liqiang Nie (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. - Min Cao; Yang Bai; Ziqiang Cao; Liqiang Nie; Min Zhang 005 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Dual Dynamic Threshold Adjustment Strategy. - Xiruo Jiang; Yazhou Yao; Sheng Liu; Fumin Shen; Liqiang Nie; Xian-Sheng Hua 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Instance-level Adversarial Source-free Domain Adaptive Person Re-identification. - Xiaofeng Qu; Li Liu 031; Lei Zhu 002; Liqiang Nie; Huaxiang Zhang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional Network. - Hao Zhang; Meng Liu 006; Yuan Qi; Ning Yang; Shunbo Hu; Liqiang Nie; Wenyin Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Universal Relocalizer for Weakly Supervised Referring Expression Grounding. - Panpan Zhang; Meng Liu 006; Xuemeng Song; Da Cao; Zan Gao; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Detecting and Grounding Multi-Modal Media Manipulation and Beyond. - Rui Shao 001; Tianxing Wu 002; Jianlong Wu; Liqiang Nie; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Pre-Trained Transformer-Based Parallel Multi-Channel Adaptive Image Sequence Interpolation Network. - Hui Liu 016; Gongguan Chen; Meng Liu 006; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval. - Peiguang Jing; Haoyi Sun; Liqiang Nie; Yun Li 006; Yuting Su 001 (IEEE Trans. Knowl. Data Eng., 2024)

Talking Face Generation With Audio-Deduced Emotional Landmarks. - Shuyan Zhai; Meng Liu 006; Yongqiang Li; Zan Gao; Lei Zhu 002; Liqiang Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Harnessing Representative Spatial-Temporal Information for Video Question Answering. - Yuanyuan Wang; Meng Liu 006; Xuemeng Song; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Similarity-Induced Weighted Consensus Laplacian Matrix Learning for Multiview Clustering. - Hui Liu 016; Xiao Yu 010; Yuxiu Lin; Xuemeng Song; Liqiang Nie (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Audio-Semantic Enhanced Pose-Driven Talking Head Generation. - Meng Liu 006; Da Li; Yongqiang Li; Xuemeng Song; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Contrastive Incomplete Cross-Modal Hashing. - Haoyang Luo; Zheng Zhang 006; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2024)

Contrastive Multi-Bit Collaborative Learning for Deep Cross-Modal Hashing. - Qingpeng Wu; Zheng Zhang 006; Yishu Liu; Jingyi Zhang; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2024)

Cluster-Based Graph Collaborative Filtering. - Fan Liu 008; Shuai Zhao; Zhiyong Cheng 001; Liqiang Nie; Mohan S. Kankanhalli (ACM Trans. Inf. Syst., 2024)

Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching. - Haitao Shi; Meng Liu 006; Xiaoxuan Mu; Xuemeng Song; Yupeng Hu; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models. - Yangyang Guo; Fangkai Jiao; Zhiqi Shen 002; Liqiang Nie; Mohan S. Kankanhalli (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Open-Set Synthesis for Free-Viewpoint Human Body Reenactment of Novel Poses. - Zhicheng Sheng; Fan Liu 008; Meng Liu 006; Feng Zheng; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Intelligent and Efficient Video Moment Localization - Meng Liu 006; Yupeng Hu; Weili Guan; Liqiang Nie (Springer, 2025)

Advancing Recommender Systems with Graph Convolutional Networks - Fan Liu 008; Liqiang Nie (Springer, 2025)

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Yuanshao Zhu; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (AAAI, 2025)

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation. - Andong Chen; Yuchen Song; Kehai Chen; Xuefeng Bai 001; Muyun Yang; Liqiang Nie; Jie Liu 001; Tiejun Zhao; Min Zhang 005 (ACL (1), 2025)

Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling. - Qiyuan Deng; Xuefeng Bai 001; Kehai Chen; Yaowei Wang 001; Liqiang Nie; Min Zhang 005 (ACL (1), 2025)

CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG. - Yang Tian; Fan Liu 008; Jingyuan Zhang; Victoria W.; Yupeng Hu; Liqiang Nie (ACL (1), 2025)

HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models. - Xiao Wang 056; Jingyun Hua; Weihong Lin; Yuanxing Zhang; Fuzheng Zhang; Jianlong Wu; Di Zhang; Liqiang Nie (ACL (1), 2025)

AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding. - Xiao Wang 056; Qingyi Si; Shiyu Zhu; Jianlong Wu; Li Cao; Liqiang Nie (ACL (Findings), 2025)

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. - Bin Xie; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Jie Liu 001; Min Zhang 005; Liqiang Nie (ACL (1), 2025)

Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation. - Xinyu Zhang; Linmei Hu; Luhao Zhang; Wentao Cheng; Yashen Wang; Ge Shi 002; Chong Feng 001; Liqiang Nie (ACL (1), 2025)

Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model. - Luhao Zhang; Xinyu Zhang; Linmei Hu; Dandan Song; Liqiang Nie (ACL (1), 2025)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions. - Junfan Li; Shizhong Liao; Zenglin Xu; Liqiang Nie (COLT, 2025)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Yinchuan Li; Jianye Hao; Longxiang Gao; Michael Yu Wang; Liqiang Nie (CVPR, 2025)

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation. - Yanda Chen; Gongwei Chen; Miao Zhang; Weili Guan; Liqiang Nie (CVPR, 2025)

Object-Shot Enhanced Grounding Network for Egocentric Video. - Yisen Feng; Haoyu Zhang; Meng Liu 006; Weili Guan; Liqiang Nie (CVPR, 2025)

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant. - Wei Li; Bing Hu; Rui Shao 001; Leyang Shen; Liqiang Nie (CVPR, 2025)

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Dongmei Jiang; Liqiang Nie (CVPR, 2025)

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. - Leigang Qu; Haochuan Li; Wenjie Wang 007; Xiang Liu 017; Juncheng Li 006; Liqiang Nie; Tat-Seng Chua (CVPR, 2025)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. - Qianlong Xiang; Miao Zhang; Yuzhang Shang; Jianlong Wu; Yan Yan 002; Liqiang Nie (CVPR, 2025)

Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning. - Na Zheng; Xuemeng Song; Xue Dong; Aashish Nikhil Ghosh; Liqiang Nie; Roger Zimmermann (CVPR, 2025)

PAIR: Complementarity-guided Disentanglement for Composed Image Retrieval. - Zhiheng Fu; Zixu Li; Zhiwei Chen; Chunxiao Wang; Xuemeng Song; Yupeng Hu; Liqiang Nie (ICASSP, 2025)

MEDIAN: Adaptive Intermediate-grained Aggregation Network for Composed Image Retrieval. - Qinlei Huang; Zhiwei Chen; Zixu Li; Chunxiao Wang; Xuemeng Song; Yupeng Hu; Liqiang Nie (ICASSP, 2025)

CurMIM: Curriculum Masked Image Modeling. - Hao Liu 072; Kun Wang 039; Yudong Han; Haocong Wang; Yupeng Hu; Chunxiao Wang; Liqiang Nie (ICASSP, 2025)

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. - Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. - Hengshuo Chu; Xiang Deng; Qi Lv 001; Xiaoyang Chen; Yinchuan Li; Jianye Hao; Liqiang Nie (ICLR, 2025)

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (ICLR, 2025)

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. - Yongqi Li 001; Hongru Cai; Wenjie Wang 007; Leigang Qu; Yinwei Wei; Wenjie Li 002; Liqiang Nie; Tat-Seng Chua (SIGIR, 2025)

Social Context-Aware Community-Level Propagation Prediction. - Jinfei Gao; Xiao Wang 056; Tian Gan; Jianhua Yin; Chuanchen Luo; Liqiang Nie (SIGIR, 2025)

Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval. - Hao Liu 072; Yupeng Hu; Kun Wang 039; Yinwei Wei; Liqiang Nie (SIGIR, 2025)

ChatLLM network: More brains, more intelligence. - Rui Hao; Linmei Hu; Weijian Qi; Qingliu Wu; Yirui Zhang; Liqiang Nie (AI Open, 2025)

HDNet: A Hybrid Domain Network With Multiscale High-Frequency Information Enhancement for Infrared Small-Target Detection. - Mingzhu Xu; Chenglong Yu; Zexuan Li; Haoyu Tang; Yupeng Hu; Liqiang Nie (IEEE Trans. Geosci. Remote. Sens., 2025)

MaeFuse: Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training. - Jiayang Li; Junjun Jiang; Pengwei Liang; Jiayi Ma 001; Liqiang Nie (IEEE Trans. Image Process., 2025)

Learning Dynamic Prompts for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu; Liqiang Nie (IEEE Trans. Image Process., 2025)

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series. - Jiacheng You; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 2025)

Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts. - Weiyang Zhang; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 2025)

TR-Adapter: Parameter-Efficient Transfer Learning for Video Question Answering. - Yuanyuan Wang; Meng Liu 006; Xuemeng Song; Liqiang Nie (IEEE Trans. Multim., 2025)

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers. - Renshan Zhang; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Weili Guan; Liqiang Nie (CoRR, 2025)

Interactive Garment Recommendation with User in the Loop. - Federico Becattini; Xiaolin Chen; Andrea Puccia; Haokun Wen; Xuemeng Song; Liqiang Nie; Alberto Del Bimbo (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. - Jiaqi Zhao; Ming Wang; Miao Zhang; Yuzhang Shang; Xuebo Liu 002; Yaowei Wang 001; Min Zhang 005; Liqiang Nie (CoRR, 2025)

A Comprehensive Survey on Composed Image Retrieval. - Xuemeng Song; Haoqiang Lin; Haokun Wen; Bohan Hou; Mingzhu Xu; Liqiang Nie (CoRR, 2025)

Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling. - Xiaolin Chen; Xuemeng Song; Jianhui Zuo; Yinwei Wei; Liqiang Nie; Tat-Seng Chua (ACM Trans. Multim. Comput. Commun. Appl., 2025)

MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution. - Xinrui Li; Jianlong Wu; Xinchuan Huang; Chong Chen 002; Weili Guan; Xian-Sheng Hua 001; Liqiang Nie (CoRR, 2025)

Embodied Crowd Counting. - Runling Long; Yunlong Wang; Jia Wan 001; Xiang Deng; Xinting Zhu; Weili Guan; Antoni B. Chan; Liqiang Nie (CoRR, 2025)

Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding. - Haoyu Zhang; Qiaohui Chu; Meng Liu 006; Yunxiao Wang; Bin Wen; Fan Yang 094; Tingting Gao; Di Zhang; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs. - Yunxiao Wang; Meng Liu 006; Rui Shao 001; Haoyu Zhang; Bin Wen; Fan Yang 094; Tingting Gao; Di Zhang; Liqiang Nie (CoRR, 2025)

Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model. - Qiyuan Deng; Xuefeng Bai 001; Kehai Chen; Yaowei Wang 001; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

Towards Harmless Multimodal Assistants with Blind Preference Optimization. - Yongqi Li 001; Lu Yang; Jian Wang 054; Runyang You; Wenjie Li 002; Liqiang Nie (CoRR, 2025)

Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning. - Jianjian Yin; Tao Chen 012; Gensheng Pei; Yazhou Yao; Liqiang Nie; Xian-Sheng Hua 001 (CoRR, 2025)

FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval. - Zixu Li; Zhiheng Fu; Yupeng Hu; Zhiwei Chen; Haokun Wen; Liqiang Nie (CoRR, 2025)

2D Semantic-Guided Semantic Scene Completion. - Xianzhu Liu; Haozhe Xie; Shengping Zhang; Hongxun Yao; Rongrong Ji; Liqiang Nie; Dacheng Tao (Int. J. Comput. Vis., 2025)

Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. - Fan Liu 008; Yaqi Liu; Huilin Chen 002; Zhiyong Cheng 001; Liqiang Nie; Mohan S. Kankanhalli (ACM Trans. Inf. Syst., 2025)

TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting. - Zhicong Wu; Hongbin Xu; Gang Xu; Ping Nie; Zhixin Yan; Jinkai Zheng; Liangqiong Qu; Ming Li; Liqiang Nie (CoRR, 2025)

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu; Liqiang Nie (CoRR, 2025)

DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer. - Junpeng Jiang; Gangyi Hong; Miao Zhang; Hengtong Hu; Kun Zhan; Rui Shao 001; Liqiang Nie (CoRR, 2025)

Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding. - Xiao Wang 056; Jianlong Wu; Zijia Lin; Fuzheng Zhang; Di Zhang; Liqiang Nie (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

CMIRNet: Cross-Modal Interactive Reasoning Network for Referring Image Segmentation. - Mingzhu Xu; Tianxiang Xiao; Yutong Liu; Haoyu Tang; Yupeng Hu; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2025)

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin. - Yuchen Wang; Xuefeng Bai 001; Xiucheng Li; Weili Guan; Liqiang Nie; Xinyang Chen 001 (CoRR, 2025)

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion. - Yanyu Li; Pencheng Wan; Liang Han; Yaowei Wang 001; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

R2ec: Towards Large Recommender Models with Reasoning. - Runyang You; Yongqi Li 001; Xinyu Lin 001; Xin Zhang 097; Wenjie Wang 007; Wenjie Li 002; Liqiang Nie (CoRR, 2025)

HCQA-1.5 @ Ego4D EgoSchema Challenge 2025. - Haoyu Zhang; Yisen Feng; Qiaohui Chu; Meng Liu 006; Weili Guan; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

XBOUND: Exploring the Capability Boundaries of Device-Control Agents through Trajectory Tree Exploration. - Shaoqing Zhang; Kehai Chen; Zhuosheng Zhang 001; Rumei Li; Rongxiang Weng; Yang Xiang 003; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting. - Haomiao Qiu; Miao Zhang; Ziyue Qiao; Weili Guan; Min Zhang 005; Liqiang Nie (CoRR, 2025)

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning. - Haomiao Qiu; Miao Zhang; Ziyue Qiao; Liqiang Nie (CoRR, 2025)

Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation. - Linmei Hu; Xinyu Zhang; Dandan Song; Changzhi Zhou; Hongyu He; Liqiang Nie (ACM Trans. Inf. Syst., 2025)

ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities. - Yifan Duan; Yihong Tang; Kehai Chen; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

Technical Report for Ego4D Long-Term Action Anticipation Challenge 2025. - Qiaohui Chu; Haoyu Zhang; Yisen Feng; Meng Liu 006; Weili Guan; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

Spatial Understanding from Videos: Structured Prompts Meet Simulation Data. - Haoyu Zhang; Meng Liu 006; Zaijing Li; Haokun Wen; Weili Guan; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

OSGNet @ Ego4D Episodic Memory Challenge 2025. - Yisen Feng; Haoyu Zhang; Qiaohui Chu; Meng Liu 006; Weili Guan; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. - Hao Li; Qi Lv 001; Rui Shao 001; Xiang Deng; Yinchuan Li; Jianye Hao; Liqiang Nie (CoRR, 2025)

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling. - Yuxuan Yue; Zukang Xu; Zhihang Yuan; Dawei Yang; Jianlong Wu; Liqiang Nie (CoRR, 2025)

Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Weili Guan; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. - Yuquan Xie; Zaijing Li; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Boost Post-Training Quantization via Null Space Optimization for Large Language Models. - Jiaqi Zhao; Miao Zhang; Weili Guan; Liqiang Nie (CoRR, 2025)

Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization. - Wenqi Liu; Xuemeng Song; Jiaxi Li; Yinwei Wei; Na Zheng; Jianhua Yin; Liqiang Nie (CoRR, 2025)

KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction. - Han Liu; Keyan Ding; Peilin Chen 001; Yinwei Wei; Liqiang Nie; Dapeng Wu 001; Shiqi Wang 001 (CoRR, 2025)

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. - Rui Shao 001; Tianxing Wu 002; Liqiang Nie; Ziwei Liu 002 (Int. J. Comput. Vis., 2025)

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Bob Zhang 001; Liqiang Nie; Min Zhang 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Fair Deepfake Detectors Can Generalize. - Harry Cheng 002; Ming-Hui Liu; Yangyang Guo; Tianyi Wang 006; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2025)

Less is More: Empowering GUI Agent with Context-Aware Simplification. - Gongwei Chen; Xurui Zhou; Rui Shao 001; Yibo Lyu; Kaiwen Zhou; Shuai Wang 020; Wentao Li; Yinchuan Li; Zhongang Qi; Liqiang Nie (CoRR, 2025)

OFFSET: Segmentation-based Focus Shift Revision for Composed Image Retrieval. - Zhiwei Chen; Yupeng Hu; Zixu Li; Zhiheng Fu; Xuemeng Song; Liqiang Nie (CoRR, 2025)

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning. - Yibo Lyu; Rui Shao 001; Gongwei Chen; Yijie Zhu; Weili Guan; Liqiang Nie (CoRR, 2025)

Dual-Center Graph Clustering with Neighbor Distribution. - Enhao Cheng; Shoujia Zhang; Jianhua Yin; Li Jin; Liqiang Nie (CoRR, 2025)

An Enhanced Model-based Approach for Short Text Clustering. - Enhao Cheng; Shoujia Zhang; Jianhua Yin; Xuemeng Song; Tian Gan; Liqiang Nie (CoRR, 2025)

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries. - Yijie Zhu; Lingsen Zhang; Zitong Yu; Rui Shao 001; Tao Tan; Liqiang Nie (CoRR, 2025)

Preview-Based Category Contrastive Learning for Knowledge Distillation. - Muhe Ding; Jianlong Wu; Xue Dong; Xiaojie Li; Pengda Qin; Tian Gan; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2025)

Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency. - Zihan Li; Wei Sun; Jing Hu; Jianhua Yin; Jianlong Wu; Liqiang Nie (CoRR, 2025)

Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation. - Qiaohui Chu; Haoyu Zhang; Meng Liu 006; Yisen Feng; Haoxiang Shi; Liqiang Nie (CoRR, 2025)

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation. - Haoxiang Shi; Xiang Deng; Zaijing Li; Gongwei Chen; Yaowei Wang 001; Liqiang Nie (CoRR, 2025)

COMPEER: Controllable Empathetic Reinforcement Reasoning for Emotional Support Conversation. - Yunxiao Wang; Meng Liu 006; Wenqi Liu; Kaiyu Jiang; Bin Wen; Fan Yang 094; Tingting Gao; Guorui Zhou; Liqiang Nie (CoRR, 2025)

A Survey on Video Temporal Grounding with Multimodal Large Language Model. - Jianlong Wu; Wei Liu 005; Ye Liu 002; Meng Liu 006; Liqiang Nie; Zhouchen Lin; Chang Wen Chen (CoRR, 2025)

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey. - Rui Shao 001; Wei Li; Lingsen Zhang; Renshan Zhang; Zhiyang Liu; Ran Chen; Liqiang Nie (CoRR, 2025)

Personalized News Recommendation Towards the Era of LLMs: Review and Prospect. - Jie Li; Zeyi Liu; Linmei Hu; Yunbo Rao; Bo Liu; Bo Fang; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2025)

Domain aware post training quantization for vision transformers in deployment. - Li Wang; Chao Zeng; Miao Zhang; Jianlong Wu; Liqiang Nie (Pattern Recognit., 2026)