Class-Discriminative Kernel Sparse Representation-Based Classification Using Multi-Objective Optimization. - Meng Jian; Cheolkon Jung (IEEE Trans. Signal Process., 2013)

Interactive image segmentation via kernel propagation. - Cheolkon Jung; Meng Jian; Juan Liu; Licheng Jiao; Yanbo Shen (Pattern Recognit., 2014)

Discriminative Structure Learning for Semantic Concept Detection With Graph Embedding. - Meng Jian; Cheolkon Jung; Yaoguo Zheng (IEEE Trans. Multim., 2014)

Semi-supervised Bi-dictionary Learning Using Smooth Representation-Based Label Propagation. - Meng Jian; Cheolkon Jung (CyberC, 2015)

Interactive image retrieval using constraints. - Meng Jian; Cheolkon Jung; Yanbo Shen; Juan Liu (Neurocomputing, 2015)

Adaptive Constraint Propagation for Semi-Supervised Kernel Matrix Learning. - Meng Jian; Cheolkon Jung; Yanbo Shen; Licheng Jiao; Juan Liu (Neural Process. Lett., 2015)

A Face Liveness Detection Scheme to Combining Static and Dynamic Features. - Lifang Wu; Yaowen Xu; Xiao Xu; Wei Qi; Meng Jian (CCBR, 2016)

Interactive Image Segmentation Using Adaptive Constraint Propagation. - Meng Jian; Cheolkon Jung (IEEE Trans. Image Process., 2016)

Semi-Supervised Bi-Dictionary Learning for Image Classification With Smooth Representation-Based Label Propagation. - Meng Jian; Cheolkon Jung (IEEE Trans. Multim., 2016)

Motion Analysis Based Cross-Database Voting for Face Spoofing Detection. - Lifang Wu; Yaowen Xu; Meng Jian; Wei Cai; Chuncan Yan; Yukun Ma (CCBR, 2017)

Max-Feature-Map Based Light Convolutional Embedding Networks for Face Verification. - Zhou Yang; Meng Jian; Bingkun Bao; Lifang Wu (CCBR, 2017)

Deep Key Frame Extraction for Sport Training. - Meng Jian; Shijie Zhang; Xiangdong Wang; Yudi He; Lifang Wu (CCCV (3), 2017)

Global Motion Pattern Based Event Recognition in Multi-person Videos. - Lifang Wu; Jiaoyu He; Meng Jian; Siyuan Liu; Yaowen Xu (CCCV (3), 2017)

A Quality Evaluation Scheme to 3D Printing Objects Using Stereovision Measurement. - Lifang Wu; Xiao-hua Guo; Lidong Zhao; Meng Jian (ICIG (3), 2017)

Image Recommendation on Content-Based Bipartite Graph. - Lifang Wu; Lei Zhang; Meng Jian; Dai Zhang; Haiying Liu (ICIMCS, 2017)

Reducing noisy labels in weakly labeled data for visual sentiment analysis. - Lifang Wu; Shuang Liu; Meng Jian; Jiebo Luo 001; Xiuzhen Zhang 001; Mingchao Qi (ICIP, 2017)

Fast cloud image segmentation with superpixel analysis based convolutional networks. - Lifang Wu; Jiaoyu He; Meng Jian; Jianan Zhang; Yunzhen Zou (IWSSIP, 2017)

MPPR: Multi Perspective Page Rank for User Influence Estimation. - Lifang Wu; Bowen Yang; Meng Jian; Jitao Sang; Dai Zhang; Lei Zhang (BigComp, 2018)

Modular Manifold Ranking for Image Recommendation. - Ting Jia; Meng Jian; Lifang Wu; Yonghao He (BigMM, 2018)

Sensitive Information of Deep Learning Based Face Anti-spoofing Algorithms. - Yukun Ma; Lifang Wu; Meng Jian (CCBR, 2018)

Visual Tracking by Combining the Structure-Aware Network and Spatial-Temporal Regression. - Dezhong Xu; Lifang Wu; Meng Jian; Qi Wang 076 (ICPR, 2018)

An Improved C-COT Based Visual Tracking Scheme to Weighted Fusion of Diverse Features. - Lifang Wu; Qi Wang 076; Dezhong Xu; Meng Jian (PCM (2), 2018)

Establishing a Large Scale Dataset for Image Emotion Analysis Using Chinese Emotion Ontology. - Lifang Wu; Mingchao Qi; Heng Zhang; Meng Jian; Bowen Yang; Dai Zhang (PRCV (4), 2018)

Multimodal Joint Representation for User Interest Analysis on Content Curation Social Networks. - Lifang Wu; Dai Zhang; Meng Jian; Bowen Yang; Haiying Liu (PRCV (3), 2018)

Shot Boundary Detection with Spatial-Temporal Convolutional Neural Networks. - Lifang Wu; Shuai Zhang; Meng Jian; Zhijia Zhao 004; Dong Wang (PRCV (2), 2018)

Global-optimization-based model decomposition for support-free multi-DOF 3D printing. - Lifang Wu; Yisong Gao; Miao Yu; Meng Jian; Zechao Liu; Yupeng Guan (SIGGRAPH ASIA Posters, 2018)

Visual saliency estimation using constraints. - Meng Jian; Lifang Wu; Cheolkon Jung; Qingtao Fu; Ting Jia (Neurocomputing, 2018)

A fast hybrid retargeting scheme with seam context and content aware strip partition. - Lifang Wu; Chuncan Yan; Meng Jian; Shuang Liu; Weiming Dong; Chang Wen Chen (Neurocomputing, 2018)

Face liveness detection scheme with static and dynamic features. - Lifang Wu; Yaowen Xu; Meng Jian; Xiao Xu; Wei Qi (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network. - Haiying Liu; Lifang Wu; Dai Zhang; Meng Jian; Xiuzhen Zhang 001 (Signal Process., 2018)

Multi-perspective Network Representation Based on Human Curation. - Haiying Liu; Meng Jian; Bowen Yang; Heng Zhang (ACAI, 2019)

Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. - Lifang Wu; Bowen Yang; Meng Jian; Xiuzhen Zhang 001; Heng Zhang; Xu Liu 008 (ICDM Workshops, 2019)

MF-SORT: Simple Online and Realtime Tracking with Motion Features. - Heng Fu; Lifang Wu; Meng Jian; Yuchen Yang; Xiangdong Wang (ICIG (1), 2019)

Prosodic Characteristics of Mandarin Declarative and Interrogative Utterances in Parkinson's Disease. - Lei Liu; Meng Jian; Wentao Gu (INTERSPEECH, 2019)

Cross-modal Collaborative Manifold Propagation for Image Recommendation. - Meng Jian; Ting Jia; Xun Yang 001; Lifang Wu; Lina Huo (ICMR, 2019)

A Siamese Pedestrian Alignment Network for Person Re-identification. - Yi Zheng; Yong Zhou 003; Jiaqi Zhao 001; Meng Jian; Rui Yao; Bing Liu 016; Xuning Liu (PRCV (1), 2019)

Two Stage Shot Boundary Detection via Feature Fusion and Spatial-Temporal Convolutional Neural Networks. - Lifang Wu; Shuai Zhang; Meng Jian; Zhe Lu; Dong Wang (IEEE Access, 2019)

Deep key frame extraction for sport training. - Meng Jian; Shuai Zhang; Lifang Wu; Shijie Zhang; Xiangdong Wang; Yonghao He (Neurocomputing, 2019)

Weakly-Supervised Video Object Grounding by Exploring Spatio-Temporal Contexts. - Xun Yang 001; Xueliang Liu; Meng Jian; Xinjian Gao; Meng Wang 001 (ACM Multimedia, 2020)

Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention. - Dezhong Xu; Heng Fu; Lifang Wu; Meng Jian; Dong Wang; Xu Liu 008 (IEEE Access, 2020)

Person image synthesis through siamese generative adversarial network. - Ying Chen 005; Shixiong Xia; Jiaqi Zhao 001; Meng Jian; Yong Zhou 003; Qiang Niu; Rui Yao; Dongjun Zhu (Neurocomputing, 2020)

Fusing motion patterns and key visual information for semantic event recognition in basketball videos. - Lifang Wu; Zhou Yang; Qi Wang 076; Meng Jian; Boxuan Zhao; Junchi Yan; Chang Wen Chen (Neurocomputing, 2020)

Diverse sample generation with multi-branch conditional generative adversarial network for remote sensing objects detection. - Dongjun Zhu; Shixiong Xia; Jiaqi Zhao 001; Yong Zhou 003; Meng Jian; Qiang Niu; Rui Yao; Ying Chen 005 (Neurocomputing, 2020)

Content-Based Bipartite User-Image Correlation for Image Recommendation. - Meng Jian; Ting Jia; Lifang Wu; Lei Zhang; Dong Wang (Neural Process. Lett., 2020)

Visual Sentiment Analysis by Combining Global and Local Information. - Lifang Wu; Mingchao Qi; Meng Jian; Heng Zhang (Neural Process. Lett., 2020)

Ontology-Based Global and Collective Motion Patterns for Event Classification in Basketball Videos. - Lifang Wu; Zhou Yang; Jiaoyu He; Meng Jian; Yaowen Xu; Dezhong Xu; Chang Wen Chen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Counterfactual Embedding Learning for Debiased Recommendation†. - Meng Jian; Jingjing Guo; Ye Xiang; Lifang Wu (BigMM, 2021)

Attribute-Level Interest Matching Network for Personalized Recommendation. - Ran Yang; Meng Jian; Ge Shi 002; Lifang Wu; Ye Xiang (PRCV (2), 2021)

Latent label mining for group activity recognition in basketball videos. - Lifang Wu; Zeyu Li; Ye Xiang; Meng Jian; Jialie Shen 001 (IET Image Process., 2021)

A Comprehensive Review of Group Activity Recognition in Videos. - Lifang Wu; Qi Wang 076; Meng Jian; Yu Qiao 001; Boxuan Zhao (Int. J. Autom. Comput., 2021)

Cosine metric supervised deep hashing with balanced similarity. - Wenjin Hu 002; Lifang Wu; Meng Jian; Yukun Chen; Hui Yu 001 (Neurocomputing, 2021)

Identity-constrained noise modeling with metric learning for face anti-spoofing. - Yaowen Xu; Lifang Wu; Meng Jian; Wei-Shi Zheng 001; Yukun Ma; Zhuming Wang (Neurocomputing, 2021)

OS-LFFD: a light and fast face detector with Ommateum structure. - Dezhong Xu; Lifang Wu; Yonghao He; Qing Zhao; Meng Jian; Junchi Yan; Liang Zhao (Multim. Tools Appl., 2021)

A siamese pedestrian alignment network for person re-identification. - Yi Zheng; Yong Zhou 003; Jiaqi Zhao 001; Meng Jian; Rui Yao; Bing Liu 016; Ying Chen 005 (Multim. Tools Appl., 2021)

Semantic manifold modularization-based ranking for image recommendation. - Meng Jian; Jingjing Guo; Chenlin Zhang; Ting Jia; Lifang Wu; Xun Yang 001; Lina Huo (Pattern Recognit., 2021)

Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation. - Meng Jian; Cheolkon Jung (Pattern Recognit., 2021)

Global motion estimation with iterative optimization-based independent univariate model for action recognition. - Lifang Wu; Zhou Yang; Meng Jian; Jialie Shen 001; Yuchen Yang; Xianglong Lang (Pattern Recognit., 2021)

Weakly-supervised video object localization with attentive spatio-temporal correlation. - Mingui Wang; Di Cui; Lifang Wu; Meng Jian; Yukun Chen; Dong Wang; Xu Liu 008 (Pattern Recognit. Lett., 2021)

RatioNet: Ratio Prediction Network for Object Detection. - Kuan Zhao; Boxuan Zhao; Lifang Wu; Meng Jian; Xu Liu 008 (Sensors, 2021)

Boundary-Guided Probability Hashing. - Wenjin Hu 002; Yukun Chen; Lifang Wu; Ge Shi 002; Meng Jian; Sinuo Deng (ICME, 2022)

Multi-intent Compatible Transformer Network for Recommendation. - Tuo Wang 001; Meng Jian; Ge Shi 002; Xin Fu; Lifang Wu (PRCV (1), 2022)

Learning to Compose Diversified Prompts for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian (CoRR, 2022)

Siamese Graph-Based Dynamic Matching for Collaborative Filtering. - Meng Jian; Chenlin Zhang; Meishan Liu; Xin Fu; Siqi Li; Ge Shi 002; Lifang Wu (Inf. Sci., 2022)

Key frame extraction based on global motion statistics for team-sport videos. - Yuan Yuan 021; Zhe Lu; Zhou Yang; Meng Jian; Lifang Wu; Zeyu Li; Xu Liu 008 (Multim. Syst., 2022)

Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation. - Meng Jian; Chenlin Zhang; Xin Fu; Lifang Wu; Zhangquan Wang (Sensors, 2022)

DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection. - Meijuan Yang; Licheng Jiao; Fang Liu 001; Biao Hou; Shuyuan Yang 001; Meng Jian (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph Contrastive Learning on Complementary Embedding for Recommendation. - Meishan Liu; Meng Jian; Ge Shi 002; Ye Xiang; Lifang Wu (ICMR, 2023)

A Novel Semantic-Enhanced Time-Aware Model for Temporal Knowledge Graph Completion. - Yashen Wang; Li Li; Meng Jian; Yi Zhang; Xiaoye Ouyang (NLPCC (2), 2023)

Preference Contrastive Learning for Personalized Recommendation. - Yulong Bai 002; Meng Jian; Shuyi Li; Lifang Wu (PRCV (9), 2023)

Multimodal collaborative graph for image recommendation. - Meng Jian; Jingjing Guo; Ge Shi 002; Lifang Wu; Zhangquan Wang (Appl. Intell., 2023)

Compatible intent-based interest modeling for personalized recommendation. - Meng Jian; Tuo Wang 001; Shenghua Zhou; Langchen Lang; Lifang Wu (Appl. Intell., 2023)

Non-pairwise Collaborative Filtering. - Meng Jian; Chenlin Zhang; Tuo Wang 001; Lifang Wu (Neural Process. Lett., 2023)

Light dual hypergraph convolution for collaborative filtering. - Meng Jian; Langchen Lang; Jingjing Guo; Zun Li 001; Tuo Wang 001; Lifang Wu (Pattern Recognit., 2024)

Dynamic interest modeling via dual learning for recommendation. - Meng Jian; Ran Yang; Xinling Wang; Lifang Wu (Multim. Tools Appl., 2024)

Swarm Self-supervised Hypergraph Embedding for Recommendation. - Meng Jian; Yulong Bai 002; Jingjing Guo; Lifang Wu (ACM Trans. Knowl. Discov. Data, 2024)

Graph Contrastive Learning With Negative Propagation for Recommendation. - Meishan Liu; Meng Jian; Yulong Bai 002; Jiancan Wu; Lifang Wu (IEEE Trans. Comput. Soc. Syst., 2024)

Discriminative Multiview Learning for Robust Palmprint Feature Representation and Recognition. - Shuyi Li; Jianhang Zhou; Bob Zhang 001; Lifang Wu; Meng Jian (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Counterfactual Graph Convolutional Learning for Personalized Recommendation. - Meng Jian; Yulong Bai 002; Xusong Fu; Jingjing Guo; Ge Shi 002; Lifang Wu (ACM Trans. Intell. Syst. Technol., 2024)

Learning to compose diversified prompts for image emotion classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian; Ye Xiang; Ruihai Dong (Comput. Vis. Media, 2024)

Intent-Augmented Multimodal Graph Embedding for Multimedia Recommendation. - Ruoxi Li; Meng Jian; Lifang Wu; Xinying Wu (ICMR, 2025)

Geometric-Augmented Self-Distillation for Graph-Based Recommendation. - Meng Jian; Tuo Wang 001; Zhuoyang Xia; Ge Shi 002; Richang Hong; Lifang Wu (ACM Trans. Inf. Syst., 2025)

Hierarchical Intent-Based Interest Disentanglement for Personalized Recommendation. - Tuo Wang 001; Meng Jian; Xinyi Xu; Lifang Wu (IEEE Trans. Knowl. Data Eng., 2025)