Multiple Models Fusion for Emotion Recognition in the Wild. - Jianlong Wu; Zhouchen Lin; Hongbin Zha (ICMI, 2015)

Multi-view common space learning for emotion recognition in the wild. - Jianlong Wu; Zhouchen Lin; Hongbin Zha (ICMI, 2016)

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval. - Jianlong Wu; Zhouchen Lin; Hongbin Zha (SIGIR, 2017)

Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition. - Jianlong Wu; Zhouchen Lin; Wenming Zheng; Hongbin Zha (Neurocomputing, 2017)

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. - Jianlong Wu; Zhouchen Lin; Hongbin Zha (CIKM, 2018)

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. - Xia Li 005; Jianlong Wu; Zhouchen Lin; Hong Liu 008; Hongbin Zha (ECCV (7), 2018)

Semi-Markov Based Maintenance Decision for Production System. - Jianlong Wu; Boping Xiao; Liying Yang; Zhonghao Zhao (ICSRS, 2018)

Expectation-Maximization Attention Networks for Semantic Segmentation. - Xia Li 005; Zhisheng Zhong; Jianlong Wu; Yibo Yang; Zhouchen Lin; Hong Liu 008 (ICCV, 2019)

Deep Comprehensive Correlation Mining for Image Clustering. - Jianlong Wu; Keyu Long; Fei Wang 032; Chen Qian 006; Cheng Li 009; Zhouchen Lin; Hongbin Zha (ICCV, 2019)

Differentiable Linearized ADMM. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhisheng Zhong; Zhouchen Lin (ICML, 2019)

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. - Tiancheng Shen; Xia Li 005; Zhisheng Zhong; Jianlong Wu; Zhouchen Lin (MICCAI (6), 2019)

Matrix recovery with implicitly low-rank data. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Jun Wang 039 (Neurocomputing, 2019)

Essential Tensor Learning for Multi-View Spectral Clustering. - Jianlong Wu; Zhouchen Lin; Hongbin Zha (IEEE Trans. Image Process., 2019)

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

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. - Yibo Yang; Hongyang Li; Xia Li 005; Qijie Zhao; Jianlong Wu; Zhouchen Lin (AAAI, 2020)

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. - Yibo Yang; Jianlong Wu; Hongyang Li; Xia Li 005; Tiancheng Shen; Zhouchen Lin (AAAI, 2020)

Local Correlation Consistency for Knowledge Distillation. - Xiaojie Li; Jianlong Wu; Hongyu Fang; Yue Liao; Fei Wang 032; Chen Qian 006 (ECCV (12), 2020)

Maximum-and-Concatenation Networks. - Xingyu Xie; Hao Kong; Jianlong Wu; Wayne Zhang 001; Guangcan Liu; Zhouchen Lin (ICML, 2020)

Multi-modal Cooking Workflow Construction for Food Recipes. - Liangming Pan; Jingjing Chen 001; Jianlong Wu; Shaoteng Liu; Chong-Wah Ngo; Min-Yen Kan; Yu-Gang Jiang 001; Tat-Seng Chua (ACM Multimedia, 2020)

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space. - Shangchen Du; Shan You; Xiaojie Li; Jianlong Wu; Fei Wang 032; Chen Qian 006; Changshui Zhang (NeurIPS, 2020)

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

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

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

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

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)

High Quality Segmentation for Ultra High-resolution Images. - Tiancheng Shen; Yuechen Zhang; Lu Qi; Jason Kuen; Xingyu Xie; Jianlong Wu; Zhe Lin 001; Jiaya Jia (CVPR, 2022)

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors. - Luting Wang 001; Xiaojie Li; Yue Liao; Zeren Jiang; Jianlong Wu; Fei Wang 032; Chen Qian 006; Si Liu 001 (ECCV (9), 2022)

Ingredient-enriched Recipe Generation from Cooking Videos. - Jianlong Wu; Liangming Pan; Jingjing Chen 001; Yu-Gang Jiang 001 (ICMR, 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)

Distributed Multi-Attention Generative Adversarial Network for Surrounding Vehicles Trajectories Prediction Based On Comprehensive Social Repulsion. - Jianlong Wu; Weiwei Zhang; Minghui Wu; Guohua Cui; Xiaolan Wang 002; Jun Gong (IEEE Access, 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)

Special issue on cross-modal retrieval and analysis. - Jianlong Wu; Richang Hong; Qi Tian 001 (Int. J. Multim. Inf. Retr., 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)

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)

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)

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

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)

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)

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants. - Yibo Yang; Haobo Yuan; Xiangtai Li; Jianlong Wu; Lefei Zhang; Zhouchen Lin; Philip H. S. Torr; Dacheng Tao; Bernard Ghanem (CoRR, 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)

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)

Self-Supervised Correlation Learning for Cross-Modal Retrieval. - Yaxin Liu; Jianlong Wu; Leigang Qu; Tian Gan; Jianhua Yin; 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)

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)

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)

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)

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. - Xiaojie Li; Yibo Yang; Xiangtai Li; Jianlong Wu; Yue Yu 001; Bernard Ghanem; Min Zhang 005 (ECCV (68), 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)

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)

SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks. - Xingning Dong; Qingpei Guo; Tian Gan; Qing Wang; Jianlong Wu; Xiangyuan Ren; Yuan Cheng; Wei Chu (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)

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)

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)

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)

Efficient Dataset Distillation via Diffusion-Driven Patch Selection for Improved Generalization. - Xinhao Zhong; Shuoyang Sun; Xulin Gu; Zhaoyang Xu; Yaowei Wang 001; Jianlong Wu; Bin Chen 011 (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)

The co-evolution mechanism of policy mixes and innovation ecosystems: a case study of the new energy vehicle industry in China. - Jianlong Wu; Mengmeng Bao; Zhongji Yang; Jin Chen (Int. J. Technol. Manag., 2024)

SSCNet: learning-based subspace clustering. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhouchen Lin (Vis. Intell., 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)

SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks. - Xingning Dong; Qingpei Guo; Tian Gan; Qing Wang 059; Jianlong Wu; Xiangyuan Ren; Yuan Cheng; Wei Chu (IEEE Trans. Circuits Syst. Video Technol., 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)

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)

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)

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)

LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition. - Bowen Hao; Dongliang Zhou; Xiaojie Li; Xingyu Zhang; Liang Xie 012; Jianlong Wu; Erwei Yin (ICASSP, 2025)

Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. - Xiaojie Li; Yibo Yang; Jianlong Wu; David A. Clifton; Yue Yu 001; Bernard Ghanem; Min Zhang 005 (CoRR, 2025)

AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter. - Yingbo Tang; Shuaike Zhang; Xiaoshuai Hao; Pengwei Wang 004; Jianlong Wu; Zhongyuan Wang 006; Shanghang Zhang (CoRR, 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)

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)

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)

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)

FineBadminton: A Multi-Level Dataset for Fine-Grained Badminton Video Understanding. - Xusheng He; Wei Liu; Shanshan Ma; Qian Liu; Chenghao Ma; Jianlong Wu (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)

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