| 2026 | AAAI | Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. | Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai |
| 2026 | ACL | From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding. | Xiangzheng Kong, Minnan Luo, Wenya Wang, Jiaying Wu, Zhi Zeng, Guang Dai |
| 2025 | AAAI | SpotActor: Training-Free Layout-Controlled Consistent Image Generation. | Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang |
| 2025 | ACL | On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. | Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao |
| 2025 | ACL | IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection. | Zhi Zeng, Jiaying Wu, Minnan Luo, Herun Wan, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng |
| 2025 | CVPR | Low-Biased General Annotated Dataset Generation. | Dengyang Jiang, Haoyu Wang, Lei Zhang, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang |
| 2025 | CVPR | Action Detail Matters: Refining Video Recognition with Local Action Queries. | Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu |
| 2025 | EMNLP | How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. | Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao |
| 2025 | ICASSP | Density-aware and Depth-aware Visual Representation for Zero-Shot Object Counting. | Fang Nan, Feng Tian, Ni Zhang, Nian Liu, Haonan Miao, Guang Dai, Mengmeng Wang |
| 2025 | ICASSP | Exploring Triple Knowledge Cues for Zero-Shot Human-Object Interaction Detection. | Fang Nan, Ni Zhang, Qidong Liu, Wei Jing, Guang Dai, Yan Chen, Feng Tian |
| 2025 | ICLR | ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs. | Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2025 | ICLR | Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling. | Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang |
| 2025 | ICLR | Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. | Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang |
| 2025 | ICML | DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making. | Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang |
| 2025 | IJCAI | Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. | Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai |
| 2025 | IJCAI | VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. | Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang |
| 2025 | VINCI | VisualNetO&M: A Digital Twin-Based Collaborative Visualization System for Power System Communication Network Operation and Maintenance. | Le Liu, Yong Li, Chuhua Yang, Guang Dai, Kaifeng Bai, Gang Chen, Siming Chen, Peng Wang |
| 2024 | AAAI | Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. | Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang |
| 2024 | AAAI | SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. | Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang |
| 2024 | AAAI | A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. | Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu |
| 2024 | CVPR | Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. | Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang |
| 2024 | ECCV | Timestep-Aware Correction for Quantized Diffusion Models. | Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang |
| 2024 | ICLR | Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. | Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu |
| 2024 | ICML | Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. | Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2024 | ICML | Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. | Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2024 | ICML | Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? | Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang |
| 2023 | ICCV | Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. | Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu |
| 2017 | MDM | A Balanced Assignment Mechanism for Online Taxi Recommendation. | Guang Dai, Jianbin Huang, Stephen Manko Wambura, Heli Sun |
| 2011 | CVPR | A non-convex relaxation approach to sparse dictionary learning. | Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang |
| 2009 | ICNC | Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network. | Zhijun Yang, Guang Dai, Wei Li, Yanbiao Jiang |
| 2007 | ICML | Kernel selection forl semi-supervised kernel machines. | Guang Dai, Dit-Yan Yeung |
| 2007 | IJCAI | Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. | Guang Dai, Dit-Yan Yeung |
| 2007 | IJCAI | A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. | Dit-Yan Yeung, Hong Chang, Guang Dai |
| 2006 | AAAI | Tensor Embedding Methods. | Guang Dai, Dit-Yan Yeung |
| 2006 | ECCV | Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. | Guang Dai, Dit-Yan Yeung, Hong Chang |
| 2006 | ICIP | Local Discriminant Embedding with Tensor Representation. | Jian Xia, Dit-Yan Yeung, Guang Dai |
| 2005 | ICIP | Nonlinear dimensionality reduction for classification using kernel weighted subspace method. | Guang Dai, Dit-Yan Yeung |
| 2004 | ECAI | Face Recognition Using Novel LDA-Based Algorithms. | Guang Dai, Yuntao Qian |
| 2004 | ICASSP | Modified kernel-based nonlinear feature extraction [face recognition example]. | Guang Dai, Yuntao Qian, Sen Jia |
| 2004 | ICIP | A robust feature extraction framework for face recognition. | Guang Dai, Yasutoshi Otani |
| 2004 | ICIP | Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. | Guang Dai, Yuntao Qian |
| 2004 | ICPR | A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. | Guang Dai, Yuntao Qian, Sen Jia |
| 2004 | ICPR | An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. | Sen Jia, Yuntao Qian, Guang Dai |
| 2004 | ISCAS | Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. | Guang Dai, Yuntao Qian |
| 2004 | SMC | By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. | Guang Dai, Yuntao Qian |