| 2026 | AAAI | Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning. | Zijun Chen, Wenbo Hu, Richang Hong |
| 2026 | AAAI | RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation. | Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang |
| 2026 | AAAI | Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting. | Ying Liu, Bo Liu, Sheng Huang, Gang Luo, Wenbo Hu, Meng Wang, Richang Hong |
| 2026 | AAAI | Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. | Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong |
| 2026 | AAAI | Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding. | Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong |
| 2026 | AAAI | DragNeXt: Rethinking Drag-Based Image Editing. | Yuan Zhou, Junbao Zhou, Qingshan Xu, Kesen Zhao, Yuxuan Wang, Hao Fei, Richang Hong, Hanwang Zhang |
| 2026 | ACL | Beyond Semantic Similarity: Appraisal-Guided Chain-of-Thought Reasoning and Retrieval for Multimodal Emotional Support Conversations. | Yuqi Chu, Lizi Liao, Jinggui Liang, Boyang Li, Richang Hong |
| 2026 | ACL | QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs. | Taolin Zhang, Haidong Kang, Dongyang Li, Qizhou Chen, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | ACL | AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering. | Taolin Zhang, Dongyang Li, Chen Chen, Qizhou Chen, Jiuheng Wan, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | ACL | Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution. | Taolin Zhang, Pukun Zhao, Qizhou Chen, Jiuheng Wan, Chen Chen, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | SIGIR | Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment. | Jingzhi Li, Zhiyong Cheng, Richang Hong, Meng Wang |
| 2026 | SIGIR | Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. | Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Fei Liu, Richang Hong |
| 2025 | AAAI | Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production. | Shengeng Tang, Jiayi He, Dan Guo, Yanyan Wei, Feng Li, Richang Hong |
| 2025 | AAAI | RAGG: Retrieval-Augmented Grasp Generation Model. | Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong |
| 2025 | AAAI | Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval. | Jian Xiao, Zhenzhen Hu, Jia Li, Richang Hong |
| 2025 | CIKM | Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. | Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong |
| 2025 | COLING | Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. | Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong |
| 2025 | CVPR | Revisiting Audio-Visual Segmentation with Vision-Centric Transformer. | Shaofei Huang, Rui Ling, Tianrui Hui, Hongyu Li, Xu Zhou, Shifeng Zhang, Si Liu, Richang Hong, Meng Wang |
| 2025 | CVPR | Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations. | Shengeng Tang, Jiayi He, Lechao Cheng, Jingjing Wu, Dan Guo, Richang Hong |
| 2025 | CVPR | CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. | Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang |
| 2025 | EMNLP | SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models. | Yuxin Gou, Xiaoning Dong, Qin Li, Shishen Gu, Richang Hong, Wenbo Hu |
| 2025 | ICASSP | Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning. | Xinlong Li, Weijieying Ren, Wei Qin, Lei Wang, Tianxiang Zhao, Richang Hong |
| 2025 | ICASSP | Linguistics-Vision Monotonic Consistent Network for Sign Language Production. | Xu Wang, Shengeng Tang, Peipei Song, Shuo Wang, Dan Guo, Richang Hong |
| 2025 | ICASSP | High-Fidelity Stereoscopic Image Rain Removal with Texture Integrity and Disparity Consistency. | Yanyan Wei, Zhao Zhang, Zhong-Qiu Zhao, Yang Zhao, Richang Hong, Yi Yang, Meng Wang |
| 2025 | ICCV | Moderating the Generalization of Score-Based Generative Model. | Wan Jiang, He Wang, Xin Zhang, Dan Guo, Zhaoxin Fan, Yunfeng Diao, Richang Hong |
| 2025 | ICCV | Gt-Mean Loss: a Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement. | Jingxi Liao, Shijie Hao, Richang Hong, Meng Wang |
| 2025 | ICCV | Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge. | Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu |
| 2025 | IJCNN | Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations. | Xuesong Zhang, Jia Li, Yunbo Xu, Zhenzhen Hu, Richang Hong |
| 2025 | MMM | Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. | Jiahua Si, Youze Wang, Wenbo Hu, Qiang Liu, Richang Hong |
| 2025 | WWW | Fair Personalized Learner Modeling Without Sensitive Attributes. | Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang |
| 2025 | SIGIR | Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. | Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang |
| 2024 | CVPR | Doubly Abductive Counterfactual Inference for Text-Based Image Editing. | Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang |
| 2024 | CVPR | Few-Shot Learner Parameterization by Diffusion Time-Steps. | Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun |
| 2024 | ICASSP | Gradient-Aware Logit Adjustment Loss for Long-Tailed Classifier. | Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong |
| 2024 | ICDM | Emotional Synchronization for Audio-Driven Talking-Head Generation. | Zhao Zhang, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang, Meng Wang |
| 2024 | ICDM | High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing. | Yan Luo, Zhichao Zuo, Zhao Zhang, Zhongqiu Zhao, Haijun Zhang, Richang Hong |
| 2024 | KDD | Double Correction Framework for Denoising Recommendation. | Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang |
| 2024 | KDD | Graph Bottlenecked Social Recommendation. | Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang |
| 2024 | KDD | Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. | Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang |
| 2024 | MMM | Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation. | Yuan Zhou, Xin Chen, Yanrong Guo, Jun Yu, Richang Hong, Qi Tian |
| 2024 | SIGIR | Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. | Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang |
| 2023 | AAAI | Rethinking Data-Free Quantization as a Zero-Sum Game. | Biao Qian, Yang Wang, Richang Hong, Meng Wang |
| 2023 | AAAI | Fair Representation Learning for Recommendation: A Mutual Information Perspective. | Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang |
| 2023 | CVPR | Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers. | Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang |
| 2023 | CVPR | Adaptive Data-Free Quantization. | Biao Qian, Yang Wang, Richang Hong, Meng Wang |
| 2023 | CVPR | 3D Human Pose Estimation with Spatio-Temporal Criss-Cross Attention. | Zhenhua Tang, Zhaofan Qiu, Yanbin Hao, Richang Hong, Ting Yao |
| 2023 | ICDM | Adaptive Student Inference Network for Efficient Single Image Super-Resolution. | Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong |
| 2023 | ICDM | How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. | Zijie Song, Wenbo Hu, Hao Ye, Richang Hong |
| 2023 | IJCAI | Dual Video Summarization: From Frames to Captions. | Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong |
| 2023 | IJCNN | Grid Feature Jigsaw for Self-supervised Image Clustering. | Zijie Song, Zhenzhen Hu, Richang Hong |
| 2023 | WWW | Improving Recommendation Fairness via Data Augmentation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | SIGIR | Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. | Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue |
| 2023 | SIGIR | Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. | Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang |
| 2023 | SIGIR | Generative-Contrastive Graph Learning for Recommendation. | Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2022 | CVPR | Deep Color Consistent Network for Low-Light Image Enhancement. | Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang |
| 2022 | ECCV | Vibration-Based Uncertainty Estimation for Learning from Limited Supervision. | Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian |
| 2022 | ECCV | Switchable Online Knowledge Distillation. | Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang |
| 2022 | ICDM | Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. | Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan |
| 2022 | IJCAI | Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. | Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang |
| 2022 | MMM | One-Stage Image Inpainting with Hybrid Attention. | Lulu Zhao, Ling Shen, Richang Hong |
| 2022 | SIGIR | A Review-aware Graph Contrastive Learning Framework for Recommendation. | Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li |
| 2021 | WWW | Learning Fair Representations for Recommendation: A Graph-based Perspective. | Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang |
| 2021 | SIGIR | Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang |
| 2021 | SIGIR | Privileged Graph Distillation for Cold Start Recommendation. | Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang |
| 2021 | SIGIR | Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. | Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | AAAI | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. | Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | CVPR | Real-World Person Re-Identification via Degradation Invariance Learning. | Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li |
| 2020 | CVPR | Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. | Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian |
| 2020 | MMM | Joint Sketch-Attribute Learning for Fine-Grained Face Synthesis. | Binxin Yang, Xuejin Chen, Richang Hong, Zihan Chen, Yuhang Li, Zheng-Jun Zha |
| 2020 | WWW | Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. | Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang |
| 2020 | SIGIR | Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. | Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang |
| 2020 | SIGIR | Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. | Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang |
| 2020 | WSDM | Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. | Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua |
| 2019 | CVPR | Adaptive Transfer Network for Cross-Domain Person Re-Identification. | Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang |
| 2019 | ICDM | A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. | Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang |
| 2019 | IJCAI | Densely Connected Attention Flow for Visual Question Answering. | Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu |
| 2019 | IJCAI | Personalized Multimedia Item and Key Frame Recommendation. | Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang |
| 2019 | MMM | Efficient Graph Based Multi-view Learning. | Hengtong Hu, Richang Hong, Weijie Fu, Meng Wang |
| 2019 | SIGIR | A Neural Influence Diffusion Model for Social Recommendation. | Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang |
| 2018 | AAAI | Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents. | Bo Wang, Youjiang Xu, Yahong Han, Richang Hong |
| 2018 | CVPR | Multi-Cue Correlation Filters for Robust Visual Tracking. | Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li |
| 2018 | CVPR | Interleaved Structured Sparse Convolutional Neural Networks. | Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi |
| 2018 | ICIP | Facial Expression Recognition with Data Augmentation and Compact Feature Learning. | Feng Lin, Richang Hong, Wengang Zhou, Houqiang Li |
| 2018 | ICIP | Online Filter Clustering and Pruning for Efficient Convnets. | Zhengguang Zhou, Wengang Zhou, Houqiang Li, Richang Hong |
| 2018 | IJCAI | Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. | Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua |
| 2018 | SIGIR | Attentive Group Recommendation. | Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang, Richang Hong |
| 2017 | SIGIR | Computational Social Indicators: A Case Study of Chinese University Ranking. | Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua |
| 2016 | CVPR | Cascaded Interactional Targeting Network for Egocentric Video Analysis. | Yang Zhou, Bingbing Ni, Richang Hong, Xiaokang Yang, Qi Tian |
| 2016 | IJCAI | A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. | Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge |
| 2016 | KDD | Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. | Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu |
| 2016 | SDM | A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. | Huayu Li, Richang Hong, Zhiang Wu, Yong Ge |
| 2015 | CVPR | Interaction part mining: A mid-level approach for fine-grained action recognition. | Yang Zhou, Bingbing Ni, Richang Hong, Meng Wang, Qi Tian |
| 2015 | ICDM | Point-of-Interest Recommender Systems: A Separate-Space Perspective. | Huayu Li, Richang Hong, Shiai Zhu, Yong Ge |
| 2015 | ICDM | Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews. | Huayu Li, Rongcheng Lin, Richang Hong, Yong Ge |
| 2015 | IJCAI | Regularizing Flat Latent Variables with Hierarchical Structures. | Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge |
| 2014 | SMC | On improving behavior subtraction. | Yao Yao, Yanbin Hao, Jianguo Jiang, Xueliang Liu, Richang Hong |
| 2013 | ICCV | Hierarchical Part Matching for Fine-Grained Visual Categorization. | Lingxi Xie, Qi Tian, Richang Hong, Shuicheng Yan, Bo Zhang |
| 2012 | MMM | On Video Recommendation over Social Network. | Xiaojian Zhao, Jin Yuan, Richang Hong, Meng Wang, Zhoujun Li, Tat-Seng Chua |
| 2010 | MMM | Video Reference: A Video Question Answering Engine. | Lei Gao, Guangda Li, Yantao Zheng, Richang Hong, Tat-Seng Chua |
| 2010 | MMM | Mediapedia: Mining Web Knowledge to Construct Multimedia Encyclopedia. | Richang Hong, Jinhui Tang, Zheng-Jun Zha, Zhiping Luo, Tat-Seng Chua |
| 2010 | MMM | Learning Cooking Techniques from YouTube. | Guangda Li, Richang Hong, Yantao Zheng, Shuicheng Yan, Tat-Seng Chua |
| 2010 | MMM | Estimating Poses of World's Photos with Geographic Metadata. | Zhiping Luo, Haojie Li, Jinhui Tang, Richang Hong, Tat-Seng Chua |
| 2009 | SMC | Image Fusion Quality Metrics by Directional Projection. | Richang Hong, Yan Song, Jinhui Tang, Jianxin Pang |
| 2008 | ICNC | A Projection-Based Metric for the Quantitative Evaluation of Pixel-Level Image Fusion. | Richang Hong, Jianxin Pang, Shanshan Li, Xiuqing Wu |