Dai, Guang

39 publications

CVPR 2025 Action Detail Matters: Refining Video Recognition with Local Action Queries Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu

ICML 2025 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

IJCAI 2025 Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai

CVPR 2025 Low-Biased General Annotated Dataset Generation Dengyang Jiang, Haoyu Wang, Lei Zhang, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang

ICLR 2025 Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang

NeurIPS 2025 MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation Ziru Wang, Mengmeng Wang, Guang Dai, Yongliu Long, Jingdong Wang

ICLR 2025 ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor Tsang

ICLR 2025 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 Tsang

AAAI 2025 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

IJCAI 2025 VidEvo: Evolving Video Editing Through Exhaustive Temporal Modeling Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang

AAAI 2024 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

ICML 2024 Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? Yilong Wang, Haishan Ye, Guang Dai, Ivor Tsang

ICLR 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu

ICML 2024 Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor Tsang

ICML 2024 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 Tsang

NeurIPS 2024 Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang

JMLR 2024 Learning Discretized Neural Networks Under Ricci Flow Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu

CVPR 2024 Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang

AAAI 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang

NeurIPS 2024 OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun

AAAI 2024 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

NeurIPS 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang

ECCV 2024 Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang

ICCV 2023 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

NeurIPS 2023 SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu

JMLR 2012 Coherence Functions with Applications in Large-Margin Classification Methods Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan

CVPR 2011 A Non-Convex Relaxation Approach to Sparse Dictionary Learning Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang

JMLR 2011 Bayesian Generalized Kernel Mixed Models Zhihua Zhang, Guang Dai, Michael I. Jordan

AISTATS 2010 Bayesian Generalized Kernel Models Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan

AISTATS 2010 Matrix-Variate Dirichlet Process Mixture Models Zhihua Zhang, Guang Dai, Michael I. Jordan

JMLR 2010 Regularized Discriminant Analysis, Ridge Regression and Beyond Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan

ECML-PKDD 2010 Sparse Unsupervised Dimensionality Reduction Algorithms Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang

ECML-PKDD 2009 A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis Zhihua Zhang, Guang Dai, Michael I. Jordan

NeurIPS 2009 Optimal Scoring for Unsupervised Learning Zhihua Zhang, Guang Dai

IJCAI 2007 A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning Dit-Yan Yeung, Hong Chang, Guang Dai

IJCAI 2007 Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data Guang Dai, Dit-Yan Yeung

ICML 2007 Kernel Selection Forl Semi-Supervised Kernel Machines Guang Dai, Dit-Yan Yeung

ECCV 2006 Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion Guang Dai, Dit-Yan Yeung, Hong Chang

AAAI 2006 Tensor Embedding Methods Guang Dai, Dit-Yan Yeung