Tao, Dacheng

412 publications

TMLR 2026 Subspace Based Federated Unlearning Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao

ICLR 2025 A Statistical Approach for Controlled Training Data Detection Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-Consuming Training Loops Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao

NeurIPS 2025 Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen

NeurIPS 2025 AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding Zhucun Xue, Jiangning Zhang, Xurong Xie, Yuxuan Cai, Yong Liu, Xiangtai Li, Dacheng Tao

NeurIPS 2025 Adaptive Defense Against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao

NeurIPS 2025 AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao

NeurIPS 2025 Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

TMLR 2025 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

ICML 2025 AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Zhao Jin, Dacheng Tao

ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao

ICLR 2025 Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang

NeurIPS 2025 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Kongcheng Zhang, Qi Yao, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao

ICCV 2025 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao

NeurIPS 2025 D$^2$GS: Dense Depth Regularization for LiDAR-Free Urban Scene Reconstruction Kejing Xia, Jidong Jia, Ke Jin, Yucai Bai, Li Sun, Dacheng Tao, Youjian Zhang

ICML 2025 Decision Mixer: Integrating Long-Term and Local Dependencies via Dynamic Token Selection for Decision-Making Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao

NeurIPS 2025 Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao

AAAI 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao

ICLR 2025 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao

NeurIPS 2025 Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

ICLR 2025 Energy-Based Backdoor Defense Against Federated Graph Learning Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

ICLR 2025 FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

ICCV 2025 Free-Form Motion Control: Controlling the 6d Poses of Camera and Objects in Video Generation Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao

ICCV 2025 Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning Yiyang Chen, Shanshan Zhao, Lunhao Duan, Changxing Ding, Dacheng Tao

IJCAI 2025 Human-Imperceptible, Machine-Recognizable Images Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng

ICML 2025 ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao

AAAI 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao

ICML 2025 LLM Data Selection and Utilization via Dynamic Bi-Level Optimization Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao

ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

ICLR 2025 Learning System Dynamics Without Forgetting Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

ICLRW 2025 Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao

CVPR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao

ICCV 2025 MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen, Wenzheng Liu, Wei Zhang, Wenjie Zeng, Xikun Zhang, Jingyi Zhang, YuXin Song, Wenhao Wu, Dacheng Tao

ICML 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao

ICLRW 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao

NeurIPS 2025 Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao

AAAI 2025 Modeling All Response Surfaces in One for Conditional Search Spaces Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao

NeurIPS 2025 Mulberry: Empowering MLLM with O1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, YuXin Song, Haocheng Feng, Li Shen, Dacheng Tao

ICML 2025 Multinoulli Extension: A Lossless yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao

ICLR 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao

ICML 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao

CVPR 2025 Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao

ICLR 2025 NoVo: Norm Voting Off Hallucinations with Attention Heads in Large Language Models Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

NeurIPS 2025 On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation Liyao Tang, Zhe Chen, Dacheng Tao

ICLR 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

NeurIPS 2025 Panacea: Mitigating Harmful Fine-Tuning for Large Language Models via Post-Fine-Tuning Perturbation Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao

TMLR 2025 QPO: Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Zhao Qi, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao

ICLRW 2025 Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao

NeurIPS 2025 R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen, Minghui Qiu, Dacheng Tao, Jiaxing Huang

ICCV 2025 R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao

ICCV 2025 Rethink Sparse Signals for Pose-Guided Text-to-Image Generation Wenjie Xuan, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao

ICML 2025 Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

CVPR 2025 Revisiting Backdoor Attacks Against Large Vision-Language Models from Domain Shift Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao

NeurIPS 2025 SEGA: Shaping Semantic Geometry for Robust Hashing Under Noisy Supervision Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang

NeurIPS 2025 SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-Shot 3D Visual Grounding Zhao Jin, Rong-Cheng Tu, Jingyi Liao, Wenhao Sun, Xiao Luo, Shunyu Liu, Dacheng Tao

ICML 2025 Safety Reasoning with Guidelines Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng

NeurIPS 2025 SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data Wenkai Fang, Shunyu Liu, Yang Zhou, Kongcheng Zhang, Tongya Zheng, Kaixuan Chen, Mingli Song, Dacheng Tao

NeurIPS 2025 Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training Shi Fu, Yingjie Wang, Yuzhu Chen, Li Shen, Dacheng Tao

NeurIPS 2025 T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks Jiayang Liu, Siyuan Liang, Shiqian Zhao, Rong-Cheng Tu, Wenbo Zhou, Aishan Liu, Dacheng Tao, Siew Kei Lam

NeurIPS 2025 Tackling Continual Offline RL Through Selective Weights Activation on Aligned Spaces Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

ICML 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao

NeurIPS 2025 UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions Zhucun Xue, Jiangning Zhang, Teng Hu, Haoyang He, Yinan Chen, Yuxuan Cai, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Dacheng Tao

NeurIPS 2025 VORTA: Efficient Video Diffusion via Routing Sparse Attention Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Jingyi Liao, Zhao Jin, Shunyu Liu, Dacheng Tao

NeurIPS 2025 Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Shuhan Xu, Bo Du, Jialie Shen, Dacheng Tao

NeurIPS 2024 A-FedPD: Aligning Dual-Drift Is All Federated Primal-Dual Learning Needs Yan Sun, Li Shen, Dacheng Tao

ICLR 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

UAI 2024 Adaptive Time-Stepping Schedules for Diffusion Models Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao

ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

ICLR 2024 Convergence of Bayesian Bilevel Optimization Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao

NeurIPS 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao

NeurIPS 2024 Deep Graph Mating Yongcheng Jing, Seok-Hee Hong, Dacheng Tao

CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao

ECCV 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

ICML 2024 Generalization Analysis of Stochastic Weight Averaging with General Sampling Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao

NeurIPS 2024 GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao

ICML 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

JMLR 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao

NeurIPS 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao

ICLR 2024 Learning Multi-Agent Communication from Graph Modeling Perspective Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

MLJ 2024 Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao

CVPR 2024 Local-Consistent Transformation Learning for Rotation-Invariant Point Cloud Analysis Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao

NeurIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao

ICML 2024 Merging Multi-Task Models via Weight-Ensembling Mixture of Experts Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao

AAAI 2024 Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao

NeurIPS 2024 Offline Behavior Distillation Shiye Lei, Sen Zhang, Dacheng Tao

CVPR 2024 One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls Minghui Hu, Jianbin Zheng, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham

ICLR 2024 One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

ICML 2024 Q-Value Regularized Transformer for Offline Reinforcement Learning Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

ICML 2024 Representation Surgery for Multi-Task Model Merging Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

CVPR 2024 Sheared Backpropagation for Fine-Tuning Foundation Models Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao

AAAI 2024 SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao

ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao

ECCV 2024 Synergy of Sight and Semantics: Visual Intention Understanding with CLIP Qu Yang, Mang Ye, Dacheng Tao

AAAI 2024 TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao

ICML 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-Trained Models Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao

ICML 2024 Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

CVPR 2024 UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather Haimei Zhao, Jing Zhang, Zhuo Chen, Shanshan Zhao, Dacheng Tao

TMLR 2024 Visual Prompt Based Personalized Federated Learning Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao

NeurIPS 2023 All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-Supervised 3D Segmentation Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao

ICLR 2023 Alternating Differentiation for Optimization Layers Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao

CVPR 2023 Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao

NeurIPSW 2023 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

CVPR 2023 CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao

ICLR 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang

ICCV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng

NeurIPS 2023 Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham

NeurIPS 2023 ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao

AAAI 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery Xinqi Zhu, Chang Xu, Dacheng Tao

ICCV 2023 DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao

AAAI 2023 DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao

ICML 2023 Decentralized SGD and Average-Direction SAM Are Asymptotically Equivalent Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

CVPR 2023 Deep Graph Reprogramming Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao

CVPR 2023 DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao

NeurIPS 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao

ICCV 2023 Domain Specified Optimization for Deployment Authorization Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao

CVPR 2023 Dynamic Focus-Aware Positional Queries for Semantic Segmentation Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang

ICML 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao

AAAI 2023 Evaluating Model-Free Reinforcement Learning Toward Safety-Critical Tasks Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao

ICCV 2023 Exploring Temporal Concurrency for Video-Language Representation Learning Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao

CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao

NeurIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao

ICLR 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao

CVPR 2023 From Images to Textual Prompts: Zero-Shot Visual Question Answering with Frozen Large Language Models Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven Hoi

TMLR 2023 Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao

CVPR 2023 Generating Holistic 3D Human Motion from Speech Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black

IJCAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao

ICLR 2023 HiT-MDP: Learning the SMDP Option Framework on MDPs with Hidden Temporal Embeddings Chang Li, Dongjin Song, Dacheng Tao

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

AAAI 2023 Improving Simultaneous Machine Translation with Monolingual Data Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang

ICML 2023 Improving the Model Consistency of Decentralized Federated Learning Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao

ICCV 2023 Knowledge-Aware Federated Active Learning with Non-IID Data Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao

CVPR 2023 Learnable Skeleton-Aware 3D Point Cloud Sampling Cheng Wen, Baosheng Yu, Dacheng Tao

NeurIPS 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao

AISTATS 2023 Learning to Generalize Provably in Learning to Optimize Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

AAAI 2023 Learning to Learn Better for Video Object Segmentation Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao

ICML 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao

CVPR 2023 Leverage Interactive Affinity for Affordance Learning Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

NeurIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

CVPR 2023 Make Landscape Flatter in Differentially Private Federated Learning Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao

ICLR 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao

AAAI 2023 Offline Quantum Reinforcement Learning in a Conservative Manner Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao

AutoML 2023 Poisson Process for Bayesian Optimization Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao

CVPR 2023 Referring Image Matting Jizhizi Li, Jing Zhang, Dacheng Tao

NeurIPS 2023 SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang

ICCV 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang

ICLR 2023 Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao

NeurIPS 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao

ICML 2023 Structured Cooperative Learning with Graphical Model Priors Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

ICLR 2023 Symmetric Pruning in Quantum Neural Networks Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao

ICML 2023 Tilted Sparse Additive Models Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

ICLR 2023 Towards One-Shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan

CVPR 2023 TriDet: Temporal Action Detection with Relative Boundary Modeling Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao

NeurIPS 2023 Understanding How Consistency Works in Federated Learning via Stage-Wise Relaxed Initialization Yan Sun, Li Shen, Dacheng Tao

ICLR 2023 Unified Discrete Diffusion for Simultaneous Vision-Language Generation Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan

CVPR 2023 Upcycling Models Under Domain and Category Shift Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang

NeurIPS 2023 VanillaNet: The Power of Minimalism in Deep Learning Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao

ICLR 2022 A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jiaxian Guo, Mingming Gong, Dacheng Tao

IJCAI 2022 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao

NeurIPS 2022 APT-36K: A Large-Scale Benchmark for Animal Pose Estimation and Tracking Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao

CVPR 2022 ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Ruibin Wang, Yibo Yang, Dacheng Tao

NeurIPS 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

CVPR 2022 Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao

ECCV 2022 BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao

ECCV 2022 Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao

CVPR 2022 BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning Zhi Hou, Baosheng Yu, Dacheng Tao

NeurIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

CVPR 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao

NeurIPS 2022 CGLB: Benchmark Tasks for Continual Graph Learning Xikun Zhang, Dongjin Song, Dacheng Tao

AAAI 2022 Continual Learning Through Retrieval and Imagination Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao

CVPR 2022 Continual Learning with Lifelong Vision Transformer Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao

CVPR 2022 Contrastive Boundary Learning for Point Cloud Segmentation Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao

CVPR 2022 DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao

CVPR 2022 Defensive Patches for Robust Recognition in the Physical World Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao

ICML 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao

ECCV 2022 Discovering Human-Object Interaction Concepts via Self-Compositional Learning Zhi Hou, Baosheng Yu, Dacheng Tao

CVPR 2022 Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao

NeurIPS 2022 Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao

CVPR 2022 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao

ICLR 2022 FP-DETR: Detection Transformer Advanced by Fully Pre-Training Wen Wang, Yang Cao, Jing Zhang, Dacheng Tao

ECCV 2022 Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao

CVPR 2022 Few-Shot Backdoor Defense Using Shapley Estimation Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao

CVPR 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan

TMLR 2022 GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation Haibo Qiu, Baosheng Yu, Dacheng Tao

CVPR 2022 GMFlow: Learning Optical Flow via Global Matching Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao

CVPR 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao

ICLR 2022 Huber Additive Models for Non-Stationary Time Series Analysis Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

ICML 2022 Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao

NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao

ECCV 2022 JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao

ICLR 2022 Knowledge Removal in Sampling-Based Bayesian Inference Shaopeng Fu, Fengxiang He, Dacheng Tao

CVPR 2022 Learning Affordance Grounding from Exocentric Images Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

ECCV 2022 Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

CVPR 2022 Learning to Collaborate in Decentralized Learning of Personalized Models Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

NeurIPS 2022 Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao

CVPR 2022 Modeling Image Composition for Complex Scene Generation Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, Dacheng Tao

ECCV 2022 Online Continual Learning with Contrastive Vision Transformer Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao

ECCV 2022 Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao

CVPR 2022 Patch Slimming for Efficient Vision Transformers Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao

IJCAI 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao

ECCV 2022 PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao

CVPR 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao

ECCV 2022 ReAct: Temporal Action Detection with Relational Queries Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao

CVPR 2022 Recurrent Glimpse-Based Decoder for Detection with Transformer Zhe Chen, Jing Zhang, Dacheng Tao

ECCV 2022 RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao

ICLR 2022 Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao

ICLR 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

AAAI 2022 SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao

ECCV 2022 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao

CVPR 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao

CVPR 2022 Source-Free Domain Adaptation via Distribution Estimation Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao

ICML 2022 Topology-Aware Generalization of Decentralized SGD Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

ECCV 2022 Towards Data-Efficient Detection Transformers Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao

ECCV 2022 Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics Sen Zhang, Jing Zhang, Dacheng Tao

ECCV 2022 VSA: Learning Varied-Size Window Attention in Vision Transformers Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao

NeurIPS 2022 ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao

IJCAI 2021 A Comprehensive Survey on Image Dehazing Based on Deep Learning Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao

ICCV 2021 Adaptive Curriculum Learning Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao

CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

CVPR 2021 Affordance Transfer Learning for Human-Object Interaction Detection Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao

CVPR 2021 Amalgamating Knowledge from Heterogeneous Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

IJCAI 2021 BESA: BERT-Based Simulated Annealing for Adversarial Text Attacks Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu

AAAI 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

NeurIPS 2021 Class-Disentanglement and Applications in Adversarial Detection and Defense Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao

ICML 2021 Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu, Chang Xu, Dacheng Tao

IJCAI 2021 Deep Automatic Natural Image Matting Jizhizi Li, Jing Zhang, Dacheng Tao

AAAI 2021 Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

CVPR 2021 Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao

NeurIPS 2021 Gauge Equivariant Transformer Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin

CVPR 2021 Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao

CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu

CVPR 2021 Learning Progressive Point Embeddings for 3D Point Cloud Generation Cheng Wen, Baosheng Yu, Dacheng Tao

CVPR 2021 Manifold Regularized Dynamic Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

ICCV 2021 Meta-Aggregator: Learning to Aggregate for 1-Bit Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

AAAI 2021 Multi-Label Few-Shot Learning with Semantic Inference (Student Abstract) Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao

IJCAI 2021 One-Shot Affordance Detection Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

CVPR 2021 Online Multiple Object Tracking with Cross-Task Synergy Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao

ICCV 2021 Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization Yufei Xu, Jing Zhang, Dacheng Tao

AAAI 2021 Progressive One-Shot Human Parsing Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao

CVPR 2021 Scene Essence Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao

AAAI 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-Grained Data Shaoli Huang, Xinchao Wang, Dacheng Tao

ICCV 2021 Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition Shaoli Huang, Xinchao Wang, Dacheng Tao

ICCV 2021 SynFace: Face Recognition with Synthetic Data Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao

ICCV 2021 TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li

UAI 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He, Bohan Wang, Dacheng Tao

CVPR 2021 Tree-like Decision Distillation Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song

CVPR 2021 Turning Frequency to Resolution: Video Super-Resolution via Event Cameras Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

ICLR 2021 Understanding and Improving Lexical Choice in Non-Autoregressive Translation Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu

NeurIPS 2021 ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao

CVPR 2021 Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu, Chang Xu, Dacheng Tao

NeurIPS 2020 Auto Learning Attention Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao

IJCAI 2020 Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao

ICML 2020 Deep Streaming Label Learning Zhen Wang, Liu Liu, Dacheng Tao

AAAI 2020 Diversified Bayesian Nonnegative Matrix Factorization Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

NeurIPS 2020 Domain Generalization via Entropy Regularization Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, Dacheng Tao

AAAI 2020 Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao

ECCV 2020 Hallucinating Visual Instances in Total Absentia Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao

NeurIPS 2020 Hard Example Generation by Texture Synthesis for Cross-Domain Shape Similarity Learning Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao

ICML 2020 LTF: A Label Transformation Framework for Correcting Label Shift Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao

ICML 2020 Label-Noise Robust Domain Adaptation Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao

ECCV 2020 Learning Disentangled Representations with Latent Variation Predictability Xinqi Zhu, Chang Xu, Dacheng Tao

ECCV 2020 Learning Propagation Rules for Attribution mAP Generation Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang

ICML 2020 Learning with Bounded Instance and Label-Dependent Label Noise Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao

ECCV 2020 On Dropping Clusters to Regularize Graph Convolutional Neural Networks Xikun Zhang, Chang Xu, Dacheng Tao

NeurIPS 2020 Part-Dependent Label Noise: Towards Instance-Dependent Label Noise Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama

ICLR 2020 Piecewise Linear Activations Substantially Shape the Loss Surfaces of Neural Networks Fengxiang He, Bohan Wang, Dacheng Tao

ECCV 2020 Polysemy Deciphering Network for Human-Object Interaction Detection Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao

NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

NeurIPS 2020 Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

ECCV 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

ECCV 2020 Spatiotemporal Attacks for Embodied Agents Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

ECCV 2020 Symbiotic Adversarial Learning for Attribute-Based Person Search Yu-Tong Cao, Jingya Wang, Dacheng Tao

ICLR 2020 Understanding Generalization in Recurrent Neural Networks Zhuozhuo Tu, Fengxiang He, Dacheng Tao

NeurIPS 2020 Video Frame Interpolation Without Temporal Priors Youjian Zhang, Chaoyue Wang, Dacheng Tao

ECCV 2020 Visual Compositional Learning for Human-Object Interaction Detection Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao

AAAI 2019 ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao

NeurIPS 2019 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao

NeurIPS 2019 Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence Fengxiang He, Tongliang Liu, Dacheng Tao

WACV 2019 Hidden States Exploration for 3D Skeleton-Based Gesture Recognition Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao

NeurIPS 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao

NeurIPS 2019 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao

NeurIPS 2019 Learning from Bad Data via Generation Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

NeurIPS 2019 Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao

AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao

NeurIPS 2019 Positive-Unlabeled Compression on the Cloud Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

IJCAI 2019 SPAGAN: Shortest Path Graph Attention Network Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao

AAAI 2019 Smooth Deep Image Generator from Noises Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

NeurIPS 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao

AAAI 2018 Adversarial Learning of Portable Student Networks Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

ECCV 2018 Attention-GAN for Object Transfiguration in Wild Images Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao

ECCV 2018 Context Refinement for Object Detection Zhe Chen, Shaoli Huang, Dacheng Tao

ECCV 2018 Correcting the Triplet Selection Bias for Triplet Loss Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao

ECCV 2018 Deep Domain Generalization via Conditional Invariant Adversarial Networks Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao

AAAI 2018 Domain Generalization via Conditional Invariant Representations Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao

NeurIPS 2018 Dual Swap Disentangling Zunlei Feng, Xinchao Wang, Chenglong Ke, An-Xiang Zeng, Dacheng Tao, Mingli Song

ECCV 2018 FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao

NeurIPS 2018 Learning Versatile Filters for Efficient Convolutional Neural Networks Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

ECCV 2018 Learning with Biased Complementary Labels Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao

AAAI 2018 Learning with Single-Teacher Multi-Student Shan You, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2018 Online Heterogeneous Transfer Metric Learning Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao

IJCAI 2018 Quantum Divide-and-Conquer Anchoring for Separable Non-Negative Matrix Factorization Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao

IJCAI 2018 R-SVM+: Robust Learning with Privileged Information Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao

AAAI 2018 Reinforced Multi-Label Image Classification by Exploring Curriculum Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao

IJCAI 2018 Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao

ECCV 2018 Saliency Preservation in Low-Resolution Grayscale Images Shivanthan Yohanandan, Andy Song, Adrian G. Dyer, Dacheng Tao

ECCV 2018 Selective Zero-Shot Classification with Augmented Attributes Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song

IJCAI 2018 Semantic Structure-Based Unsupervised Deep Hashing Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao

AAAI 2018 Sequence-to-Sequence Learning via Shared Latent Representation Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao

ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

ICCV 2017 A Coarse-Fine Network for Keypoint Localization Shaoli Huang, Mingming Gong, Dacheng Tao

AAAI 2017 A Diversified Generative Latent Variable Model for WiFi-SLAM Hao Xiong, Dacheng Tao

ICCV 2017 A Joint Intrinsic-Extrinsic Prior Model for Retinex Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao

IJCAI 2017 Adaptive Manifold Regularized Matrix Factorization for Data Clustering Lefei Zhang, Qian Zhang, Bo Du, Jane You, Dacheng Tao

ICML 2017 Algorithmic Stability and Hypothesis Complexity Tongliang Liu, Gábor Lugosi, Gergely Neu, Dacheng Tao

ICML 2017 Beyond Filters: Compact Feature mAP for Portable Deep Model Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

AAAI 2017 Beyond RPCA: Flattening Complex Noise in the Frequency Domain Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

UAI 2017 Causal Discovery from Temporally Aggregated Time Series Mingming Gong, Kun Zhang, Bernhard Schölkopf, Clark Glymour, Dacheng Tao

ICCV 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao

IJCAI 2017 Classification and Representation Joint Learning via Deep Networks Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao

IJCAI 2017 Collaborative Rating Allocation Yali Du, Chang Xu, Dacheng Tao

AAAI 2017 Cost-Sensitive Feature Selection via F-Measure Optimization Reduction Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IJCAI 2017 Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning Yong Luo, Dacheng Tao, Yonggang Wen

IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors Meng Liu, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao

IJCAI 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

CVPR 2017 Improving Training of Deep Neural Networks via Singular Value Bounding Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu

ICCV 2017 Multi-Modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering Zhou Yu, Jun Yu, Jianping Fan, Dacheng Tao

IJCAI 2017 Multi-Positive and Unlabeled Learning Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

CVPR 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

IJCAI 2017 On Gleaning Knowledge from Multiple Domains for Active Learning Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao

AAAI 2017 Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

AAAI 2017 Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao

IJCAI 2017 Privileged Matrix Factorization for Collaborative Filtering Yali Du, Chang Xu, Dacheng Tao

IJCAI 2017 Privileged Multi-Label Learning Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

AAAI 2017 Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You

AAAI 2017 Structure Regularized Unsupervised Discriminant Feature Analysis Mingyu Fan, Xiaojun Chang, Dacheng Tao

IJCAI 2017 Tag Disentangled Generative Adversarial Network for Object Image Re-Rendering Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao

IJCAI 2017 Understanding How Feature Structure Transfers in Transfer Learning Tongliang Liu, Qiang Yang, Dacheng Tao

NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu

CVPR 2016 Conditional Graphical Lasso for Multi-Label Image Classification Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao

AAAI 2016 Discriminative Vanishing Component Analysis Chenping Hou, Feiping Nie, Dacheng Tao

AAAI 2016 Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair Hao Xiong, Tongliang Liu, Dacheng Tao

ICML 2016 Domain Adaptation with Conditional Transferable Components Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf

IJCAI 2016 Empirical Risk Minimization for Metric Learning Using Privileged Information Xun Yang, Meng Wang, Luming Zhang, Dacheng Tao

ECCV 2016 Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang

AAAI 2016 Linear Submodular Bandits with a Knapsack Constraint Baosheng Yu, Meng Fang, Dacheng Tao

ECCV 2016 Multi-Label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao

IJCAI 2016 Multi-View Exclusive Unsupervised Dimension Reduction for Video-Based Facial Expression Recognition Liping Xie, Dacheng Tao, Haikun Wei

CVPR 2016 Multilinear Hyperplane Hashing Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao

CVPR 2016 Occlusion Boundary Detection via Deep Exploration of Context Huan Fu, Chaohui Wang, Dacheng Tao, Michael J. Black

IJCAI 2016 On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning Yong Luo, Yonggang Wen, Dacheng Tao

IJCAI 2016 Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo

CVPR 2016 Part-Stacked CNN for Fine-Grained Visual Categorization Shaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang

AAAI 2016 Random Mixed Field Model for Mixed-Attribute Data Restoration Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao

AAAI 2016 Scalable Completion of Nonnegative Matrix with Separable Structure Xiyu Yu, Wei Bian, Dacheng Tao

AAAI 2016 Shakeout: A New Regularized Deep Neural Network Training Scheme Guoliang Kang, Jun Li, Dacheng Tao

AAAI 2016 Submodular Asymmetric Feature Selection in Cascade Object Detection Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin

AAAI 2016 Teaching-to-Learn and Learning-to-Teach for Multi-Label Propagation Chen Gong, Dacheng Tao, Jie Yang, Wei Liu

CVPR 2015 A Maximum Entropy Feature Descriptor for Age Invariant Face Recognition Dihong Gong, Zhifeng Li, Dacheng Tao, Jianzhuang Liu, Xuelong Li

ICCV 2015 Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao

ICML 2015 Discovering Temporal Causal Relations from Subsampled Data Mingming Gong, Kun Zhang, Bernhard Schoelkopf, Dacheng Tao, Philipp Geiger

CVPR 2015 FaLRR: A Fast Low Rank Representation Solver Shijie Xiao, Wen Li, Dong Xu, Dacheng Tao

AAAI 2015 Large-Margin Multi-Label Causal Feature Learning Chang Xu, Dacheng Tao, Chao Xu

AAAI 2015 Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen

CVPR 2015 MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao

IJCAI 2015 Multi-Task Model and Feature Joint Learning Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao

IJCAI 2015 Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao

IJCAI 2015 Multi-View Self-Paced Learning for Clustering Chang Xu, Dacheng Tao, Chao Xu

CVPR 2015 Saliency Propagation from Simple to Difficult Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang

AAAI 2014 Active Learning for Crowdsourcing Using Knowledge Transfer Meng Fang, Jie Yin, Dacheng Tao

ECCVW 2014 Activity Recognition in Still Images with Transductive Non-Negative Matrix Factorization Naiyang Guan, Dacheng Tao, Long Lan, Zhigang Luo, Xuejun Yang

ECCV 2014 Architectural Style Classification Using Multinomial Latent Logistic Regression Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, Ah Chung Tsoi

ICML 2014 Large-Margin Weakly Supervised Dimensionality Reduction Chang Xu, Dacheng Tao, Chao Xu, Yong Rui

AAAI 2014 ReLISH: Reliable Label Inference via Smoothness Hypothesis Chen Gong, Dacheng Tao, Keren Fu, Jie Yang

CVPR 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-Identification Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu

AAAI 2014 Signed Laplacian Embedding for Supervised Dimension Reduction Chen Gong, Dacheng Tao, Jie Yang, Keren Fu

ECCV 2014 Tracking Using Multilevel Quantizations Zhibin Hong, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao

CVPR 2014 Weakly Supervised Multiclass Video Segmentation Xiao Liu, Dacheng Tao, Mingli Song, Ying Ruan, Chun Chen, Jiajun Bu

IJCAI 2013 A Bayesian Factorised Covariance Model for Image Analysis Jun Li, Dacheng Tao

AISTATS 2013 Greedy Bilateral Sketch, Completion & Smoothing Tianyi Zhou, Dacheng Tao

IJCAI 2013 Semi-Supervised Learning with Manifold Fitted Graphs Tongtao Zhang, Rongrong Ji, Wei Liu, Dacheng Tao, Gang Hua

CVPR 2013 Semi-Supervised Node Splitting for Random Forest Construction Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen, Jiajun Bu

IJCAI 2013 Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation Tianyi Zhou, Dacheng Tao

AAAI 2013 Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang

ICCV 2013 Tracking via Robust Multi-Task Multi-View Joint Sparse Representation Zhibin Hong, Xue Mei, Danil Prokhorov, Dacheng Tao

AAAI 2013 Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu

ICCV 2013 Visual Reranking Through Weakly Supervised Multi-Graph Learning Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, Xinbo Gao

MLJ 2012 Compressed Labeling on Distilled Labelsets for Multi-Label Learning Tianyi Zhou, Dacheng Tao, Xindong Wu

AISTATS 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels Wei Bian, Bo Xie, Dacheng Tao

ECCV 2012 Dual-Force Metric Learning for Robust Distracter-Resistant Tracker Zhibin Hong, Xue Mei, Dacheng Tao

AISTATS 2012 Multi-Label Subspace Ensemble Tianyi Zhou, Dacheng Tao

CVPR 2012 Multi-Scale Dictionary for Single Image Super-Resolution Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li

CVPR 2012 Sparse Representation for Blind Image Quality Assessment Lihuo He, Dacheng Tao, Xuelong Li, Xinbo Gao

AISTATS 2011 Generalization Bound for Infinitely Divisible Empirical Process Chao Zhang, Dacheng Tao

ICML 2011 GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case Tianyi Zhou, Dacheng Tao

IJCAI 2011 Learning a Distance Metric by Empirical Loss Minimization Wei Bian, Dacheng Tao

UAI 2011 Risk Bounds for Infinitely Divisible Distribution Chao Zhang, Dacheng Tao

AAAI 2010 Constrained Metric Learning via Distance Gap Maximization Wei Liu, Xinmei Tian, Dacheng Tao, Jianzhuang Liu

AISTATS 2010 Risk Bounds for Levy Processes in the PAC-Learning Framework Chao Zhang, Dacheng Tao

AISTATS 2010 Simple Exponential Family PCA Jun Li, Dacheng Tao

CVPR 2009 Ensemble Manifold Regularization Bo Geng, Chao Xu, Dacheng Tao, Linjun Yang, Xian-Sheng Hua

NeurIPS 2009 Manifold Regularization for SIR with Rate Root-N Convergence Wei Bian, Dacheng Tao

ECCV 2008 Discriminative Locality Alignment Tianhao Zhang, Dacheng Tao, Jie Yang

CVPR 2008 Enhanced Biologically Inspired Model Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan, Xuelong Li

CVPR 2006 Human Carrying Status in Visual Surveillance Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu

CVPR 2004 Orthogonal Complement Component Analysis for Positive Samples in SVM Based Relevance Feedback Image Retrieval Dacheng Tao, Xiaoou Tang

CVPR 2004 Random Sampling Based SVM for Relevance Feedback Image Retrieval Dacheng Tao, Xiaoou Tang