Dacheng Tao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
595
Venues
31
Active years
2020–2026
Best venue rank
A*
Where they publish
- A*CVPR67 papers
- A*ACL41 papers
- A*ICLR32 papers
- A*ICML31 papers
- A*AAAI29 papers
- A*ICCV19 papers
- A*ECCV17 papers
- A*EMNLP16 papers
- A*IJCAI10 papers
- BCOLING8 papers
- A*KDD3 papers
- A*ICRA3 papers
- A*NDSS2 papers
- A*ICDM2 papers
- A*WWW2 papers
- AUAI2 papers
- CMMSP2 papers
- A*SP1 paper
- A*ICDE1 paper
- A*ICSE1 paper
- ANAACL1 paper
- AECAI1 paper
- BICPP1 paper
- AAISTATS1 paper
- AMICCAI1 paper
- AWACV1 paper
- A*CCS1 paper
- NationalCSR1 paper
- AIROS1 paper
- A*SIGIR1 paper
- BIJCNN1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model. | Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao |
| 2026 | AAAI | CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing. | Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang |
| 2026 | AAAI | AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization. | Jingyi Liao, Yongyi Su, Rong-Cheng Tu, Zhao Jin, Wenhao Sun, Yiting Li, Xun Xu, Dacheng Tao, Xulei Yang |
| 2026 | AAAI | Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation. | Jianzhi Long, Wenhao Sun, Rong-Cheng Tu, Dacheng Tao |
| 2026 | AAAI | Free-Form Scene Editor: Enabling Multi-Round Object Manipulation Like in a 3D Engine. | Xincheng Shuai, Zhenyuan Qin, Henghui Ding, Dacheng Tao |
| 2026 | AAAI | Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation. | Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao |
| 2026 | AAAI | SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. | Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao |
| 2026 | ACL | Powering Verifiable Learning via Automated Evolutionary Data Synthesis. | He Du, Bowen Li, Aijun Yang, Siyang He, Qipeng Guo, Kai Chen, Dacheng Tao |
| 2026 | ACL | Reasoning-Guided Exploration for Online DPO. | Zetian Hu, Shunyu Liu, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao |
| 2026 | ACL | SAFER: A Controllable Safeguard for LLMs against Backdoor Attacks. | Zirui Hu, Zheng Zhang, Yingjie Wang, Dacheng Tao |
| 2026 | ACL | The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2026 | ACL | O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. | Haotian Luo, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Xiaochun Cao, Dacheng Tao, Naiqiang Tan, Li Shen |
| 2026 | ACL | Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models. | Huazheng Wang, Yongcheng Jing, Haifeng Sun, Yingjie Wang, Jingyu Wang, Jianxin Liao, Dacheng Tao |
| 2026 | ACL | GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization. | Yikun Wang, Yibin Wang, Dianyi Wang, Zimian Peng, Qipeng Guo, Dacheng Tao, Jiaqi Wang |
| 2026 | ACL | RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents. | Jize Wang, Han Wu, Zhiyuan You, Yiming Song, Yijun Wang, Zifei Shan, Yining Li, Songyang Zhang, Xinyi Le, Cailian Chen, Xinping Guan, Dacheng Tao |
| 2026 | ACL | Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2026 | ACL | SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density. | Biao Yi, Jiahao Li, Yiming Li, Yu He, Baolei Zhang, Zheli Liu, Dacheng Tao |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | ACL | Distillation Traps and Guards: A Calibration Knob for LLM Distillability. | Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao |
| 2026 | KDD | Offline Behavioral Data Selection. | Shiye Lei, Zhihao Cheng, Dacheng Tao |
| 2026 | NDSS | VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs. | Guofu Liao, Taotao Wang, Shengli Zhang, Jiqun Zhang, Long Shi, Dacheng Tao |
| 2026 | NDSS | Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography. | Songze Li, Jiameng Cheng, Yiming Li, Xiaojun Jia, Dacheng Tao |
| 2026 | SP | PromptCOS: Towards Content-Only System Prompt Copyright Auditing for LLMs. | Yuchen Yang, Yiming Li, Hongwei Yao, Enhao Huang, Shuo Shao, Yuyi Wang, Zhibo Wang, Dacheng Tao, Zhan Qin |
| 2025 | AAAI | Modeling All Response Surfaces in One for Conditional Search Spaces. | Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. | Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao |
| 2025 | ACL | Dynamic Parallel Tree Search for Efficient LLM Reasoning. | Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao |
| 2025 | ACL | ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. | Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao |
| 2025 | ACL | Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. | Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao |
| 2025 | ACL | VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. | Yikun Wang, Siyin Wang, Qinyuan Cheng, Zhaoye Fei, Liang Ding, Qipeng Guo, Dacheng Tao, Xipeng Qiu |
| 2025 | ACL | Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | ACL | Supervised Optimism Correction: Be Confident When LLMs Are Sure. | Junjie Zhang, Rushuai Yang, Shunyu Liu, Ting-En Lin, Fei Huang, Yi Chen, Yongbin Li, Dacheng Tao |
| 2025 | ACL | KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. | Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao |
| 2025 | COLING | MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | COLING | Intention Analysis Makes LLMs A Good Jailbreak Defender. | Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao |
| 2025 | COLING | Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. | Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong |
| 2025 | CVPR | Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. | Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. | Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | EMNLP | Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | EMNLP | Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. | Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao |
| 2025 | ICCV | Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning. | Yiyang Chen, Shanshan Zhao, Lunhao Duan, Changxing Ding, Dacheng Tao |
| 2025 | ICCV | ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. | Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao |
| 2025 | ICCV | CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks. | Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Rethink Sparse Signals for Pose-Guided Text-to-Image Generation. | Wenjie Xuan, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICDE | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). | Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
| 2025 | ICDM | Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics. | Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao |
| 2025 | ICLR | Learning system dynamics without forgetting. | Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. | Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao |
| 2025 | ICLR | NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. | Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao |
| 2025 | ICLR | A Statistical Approach for Controlled Training Data Detection. | Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao |
| 2025 | ICLR | Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. | Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao |
| 2025 | ICLR | Energy-based Backdoor Defense Against Federated Graph Learning. | Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye |
| 2025 | ICLR | Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. | Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao |
| 2025 | ICLR | Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. | Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | LLM Data Selection and Utilization via Dynamic Bi-level Optimization. | Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao |
| 2025 | ICML | 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 |
| 2025 | ICML | Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning. | Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao |
| 2025 | ICML | 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 |
| 2025 | ICML | ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks. | Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao |
| 2025 | ICML | AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration. | Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Zhao Jin, Dacheng Tao |
| 2025 | ICML | 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 |
| 2025 | ICML | Safety Reasoning with Guidelines. | Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng |
| 2025 | ICML | 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 |
| 2025 | IJCAI | Human-Imperceptible, Machine-Recognizable Images. | Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng |
| 2025 | ICSE | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. | Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao |
| 2025 | NAACL | CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. | Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang, Dacheng Tao |
| 2024 | AAAI | TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. | Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao |
| 2024 | AAAI | 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 |
| 2024 | AAAI | SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. | Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao |
| 2024 | ACL | DB-LLM: Accurate Dual-Binarization for Efficient LLMs. | Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao |
| 2024 | ACL | Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. | Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao |
| 2024 | ACL | Revisiting Demonstration Selection Strategies in In-Context Learning. | Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2024 | ACL | OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. | Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2024 | ACL | Uncertainty Aware Learning for Language Model Alignment. | Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao |
| 2024 | ACL | Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. | Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang |
| 2024 | ACL | Revisiting Knowledge Distillation for Autoregressive Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ACL | ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | COLING | 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. | Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2024 | COLING | Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. | Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu |
| 2024 | CVPR | Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. | Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Free: Faster and Better Data-Free Meta-Learning. | Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao |
| 2024 | CVPR | Sheared Backpropagation for Fine-Tuning Foundation Models. | Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao |
| 2024 | CVPR | UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather. | Haimei Zhao, Jing Zhang, Zhuo Chen, Shanshan Zhao, Dacheng Tao |
| 2024 | ECAI | Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. | Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao |
| 2024 | ECCV | Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. | Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao |
| 2024 | ECCV | Synergy of Sight and Semantics: Visual Intention Understanding with CLIP. | Qu Yang, Mang Ye, Dacheng Tao |
| 2024 | EMNLP | LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. | Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu |
| 2024 | EMNLP | Revisiting Catastrophic Forgetting in Large Language Model Tuning. | Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao |
| 2024 | EMNLP | Self-Powered LLM Modality Expansion for Large Speech-Text Models. | Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang |
| 2024 | EMNLP | Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. | Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Convergence of Bayesian Bilevel Optimization. | Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao |
| 2024 | ICLR | Learning Multi-Agent Communication from Graph Modeling Perspective. | Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | AdaMerging: Adaptive Model Merging for Multi-Task Learning. | Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao |
| 2024 | ICML | Towards Theoretical Understandings of Self-Consuming Generative Models. | Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao |
| 2024 | ICML | HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. | Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao |
| 2024 | ICML | Q-value Regularized Transformer for Offline Reinforcement Learning. | Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao |
| 2024 | ICML | 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 |
| 2024 | ICML | Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. | Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao |
| 2024 | ICML | Generalization Analysis of Stochastic Weight Averaging with General Sampling. | Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao |
| 2024 | ICML | 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 |
| 2024 | ICML | Representation Surgery for Multi-Task Model Merging. | Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao |
| 2024 | ICML | 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 |
| 2024 | ICPP | SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition. | Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao |
| 2024 | IJCAI | Joint Input and Output Coordination for Class-Incremental Learning. | Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao |
| 2024 | ICRA | Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition. | Zhenyu Xu, Ziliang Ren, Qieshi Zhang, Jie Lou, Dacheng Tao, Jun Cheng |
| 2024 | KDD | Topology-aware Embedding Memory for Continual Learning on Expanding Networks. | Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao |
| 2024 | WWW | Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. | Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang |
| 2024 | UAI | Adaptive Time-Stepping Schedules for Diffusion Models. | Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao |
| 2023 | AAAI | Offline Quantum Reinforcement Learning in a Conservative Manner. | Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao |
| 2023 | AAAI | Improving Simultaneous Machine Translation with Monolingual Data. | Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | AAAI | Learning to Learn Better for Video Object Segmentation. | Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao |
| 2023 | AAAI | FedABC: Targeting Fair Competition in Personalized Federated Learning. | Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao |
| 2023 | AAAI | DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. | Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | AAAI | Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. | Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao |
| 2023 | AAAI | ContraFeat: Contrasting Deep Features for Semantic Discovery. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2023 | ACL | CASN: Class-Aware Score Network for Textual Adversarial Detection. | Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao |
| 2023 | ACL | TransGEC: Improving Grammatical Error Correction with Translationese. | Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2023 | ACL | PAD-Net: An Efficient Framework for Dynamic Networks. | Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao |
| 2023 | ACL | Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. | Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao |
| 2023 | ACL | Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. | Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao |
| 2023 | ACL | Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. | Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao |
| 2023 | ACL | Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. | Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo |
| 2023 | ACL | Self-Evolution Learning for Discriminative Language Model Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ACL | Revisiting Token Dropping Strategy in Efficient BERT Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao |
| 2023 | AISTATS | Learning to Generalize Provably in Learning to Optimize. | Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang |
| 2023 | CVPR | 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 C. H. Hoi |
| 2023 | CVPR | Dynamic Focus-aware Positional Queries for Semantic Segmentation. | Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang |
| 2023 | CVPR | Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao |
| 2023 | CVPR | Deep Graph Reprogramming. | Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao |
| 2023 | CVPR | Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. | Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao |
| 2023 | CVPR | Referring Image Matting. | Jizhizi Li, Jing Zhang, Dacheng Tao |
| 2023 | CVPR | Leverage Interactive Affinity for Affordance Learning. | Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao |
| 2023 | CVPR | Upcycling Models Under Domain and Category Shift. | Sanqing Qu, Tianpei Zou, Florian Rhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang |
| 2023 | CVPR | Make Landscape Flatter in Differentially Private Federated Learning. | Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao |
| 2023 | CVPR | TriDet: Temporal Action Detection with Relative Boundary Modeling. | Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao |
| 2023 | CVPR | Learnable Skeleton-Aware 3D Point Cloud Sampling. | Cheng Wen, Baosheng Yu, Dacheng Tao |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Generating Holistic 3D Human Motion from Speech. | Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black |
| 2023 | CVPR | CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose. | Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao |
| 2023 | EMNLP | Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. | Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao |
| 2023 | EMNLP | Towards Making the Most of ChatGPT for Machine Translation. | Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2023 | EMNLP | PromptST: Abstract Prompt Learning for End-to-End Speech Translation. | Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | EMNLP | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. | Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | EMNLP | Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. | Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ICCV | Domain Specified Optimization for Deployment Authorization. | Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao |
| 2023 | ICCV | Knowledge-Aware Federated Active Learning with Non-IID Data. | Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao |
| 2023 | ICCV | Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. | Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng |
| 2023 | ICCV | Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. | Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang |
| 2023 | ICCV | DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. | Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao |
| 2023 | ICCV | Exploring Temporal Concurrency for Video-Language Representation Learning. | Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao |
| 2023 | ICLR | 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 |
| 2023 | ICLR | CktGNN: Circuit Graph Neural Network for Electronic Design Automation. | Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang |
| 2023 | ICLR | Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. | Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao |
| 2023 | ICLR | HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. | Chang Li, Dongjin Song, Dacheng Tao |
| 2023 | ICLR | FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. | Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao |
| 2023 | ICLR | Alternating Differentiation for Optimization Layers. | Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao |
| 2023 | ICLR | Symmetric Pruning in Quantum Neural Networks. | Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. | Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao |
| 2023 | ICML | Tilted Sparse Additive Models. | Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao |
| 2023 | ICML | Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao |
| 2023 | ICML | Structured Cooperative Learning with Graphical Model Priors. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2023 | ICML | Improving the Model Consistency of Decentralized Federated Learning. | Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao |
| 2023 | ICML | Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. | Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao |
| 2023 | ICML | Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. | Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | Improving Heterogeneous Model Reuse by Density Estimation. | Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao |
| 2023 | ICRA | Off-policy Imitation Learning from Visual Inputs. | Zhihao Cheng, Li Shen, Dacheng Tao |
| 2023 | KDD | Domain-Specific Risk Minimization for Domain Generalization. | Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie |
| 2023 | MICCAI | DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. | Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | WACV | 1 | Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Hfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang |
| 2022 | AAAI | Continual Learning through Retrieval and Imagination. | Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao |
| 2022 | AAAI | SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. | Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao |
| 2022 | ACL | Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu |
| 2022 | ACL | A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. | Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao |
| 2022 | CCS | Harnessing Perceptual Adversarial Patches for Crowd Counting. | Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao |
| 2022 | COLING | A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. | Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao |
| 2022 | COLING | On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. | Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao |
| 2022 | CSR | Heterogeneous Multi-commodity Network Flows over Time. | Yifen Li, Xiaohui Bei, Youming Qiao, Dacheng Tao, Zhiya Chen |
| 2022 | CVPR | Bridged Transformer for Vision and Point Cloud 3D Object Detection. | Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao |
| 2022 | CVPR | Continual Learning with Lifelong Vision Transformer. | Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao |
| 2022 | CVPR | DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. | Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao |
| 2022 | CVPR | Recurrent Glimpse-based Decoder for Detection with Transformer. | Zhe Chen, Jing Zhang, Dacheng Tao |
| 2022 | CVPR | Source-Free Domain Adaptation via Distribution Estimation. | Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao |
| 2022 | CVPR | FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. | Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao |
| 2022 | CVPR | Few-shot Backdoor Defense Using Shapley Estimation. | Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao |
| 2022 | CVPR | 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 |
| 2022 | CVPR | BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. | Zhi Hou, Baosheng Yu, Dacheng Tao |
| 2022 | CVPR | HL-Net: Heterophily Learning Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao |
| 2022 | CVPR | RU-Net: Regularized Unrolling Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao |
| 2022 | CVPR | Learning to Collaborate in Decentralized Learning of Personalized Models. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | CVPR | Learning Affordance Grounding from Exocentric Images. | Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao |
| 2022 | CVPR | Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection. | Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao |
| 2022 | CVPR | Patch Slimming for Efficient Vision Transformers. | Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao |
| 2022 | CVPR | Contrastive Boundary Learning for Point Cloud Segmentation. | Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao |
| 2022 | CVPR | 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 |
| 2022 | CVPR | ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. | Ruibin Wang, Yibo Yang, Dacheng Tao |
| 2022 | CVPR | GMFlow: Learning Optical Flow via Global Matching. | Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao |
| 2022 | CVPR | Modeling Image Composition for Complex Scene Generation. | Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, Dacheng Tao |
| 2022 | CVPR | Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. | Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Discovering Human-Object Interaction Concepts via Self-Compositional Learning. | Zhi Hou, Baosheng Yu, Dacheng Tao |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Learning Graph Neural Networks for Image Style Transfer. | Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao |
| 2022 | ECCV | Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. | Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao |
| 2022 | ECCV | Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. | Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao |
| 2022 | ECCV | 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 |
| 2022 | ECCV | ReAct: Temporal Action Detection with Relational Queries. | Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao |
| 2022 | ECCV | Online Continual Learning with Contrastive Vision Transformer. | Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao |
| 2022 | ECCV | Towards Data-Efficient Detection Transformers. | Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao |
| 2022 | ECCV | 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 |
| 2022 | ECCV | RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning. | Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao |
| 2022 | ECCV | 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 |
| 2022 | ECCV | VSA: Learning Varied-Size Window Attention in Vision Transformers. | Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao |
| 2022 | ECCV | Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics. | Sen Zhang, Jing Zhang, Dacheng Tao |
| 2022 | ECCV | JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes. | Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao |
| 2022 | EMNLP | TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. | Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao |
| 2022 | EMNLP | SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. | Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao |
| 2022 | EMNLP | Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao |
| 2022 | ICDM | Sparsified Subgraph Memory for Continual Graph Representation Learning. | Xikun Zhang, Dongjin Song, Dacheng Tao |
| 2022 | ICLR | Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. | Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao |
| 2022 | ICLR | Knowledge Removal in Sampling-based Bayesian Inference. | Shaopeng Fu, Fengxiang He, Dacheng Tao |
| 2022 | ICLR | A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. | Jiaxian Guo, Mingming Gong, Dacheng Tao |
| 2022 | ICLR | FP-DETR: Detection Transformer Advanced by Fully Pre-training. | Wen Wang, Yang Cao, Jing Zhang, Dacheng Tao |
| 2022 | ICLR | Huber Additive Models for Non-stationary Time Series Analysis. | Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao |
| 2022 | ICLR | Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. | Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao |
| 2022 | ICML | DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. | Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao |
| 2022 | ICML | Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. | Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | ICML | Topology-aware Generalization of Decentralized SGD. | Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao |
| 2022 | IJCAI | A Survey on Gradient Inversion: Attacks, Defenses and Future Directions. | Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao |
| 2022 | IJCAI | Penalized Proximal Policy Optimization for Safe Reinforcement Learning. | Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao |
| 2022 | IROS | Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. | Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao |
| 2022 | ICRA | Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World. | Sen Zhang, Jing Zhang, Dacheng Tao |
| 2022 | MMSP | Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. | Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao |
| 2022 | MMSP | Robust Metric Boosts Transfer. | Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao |
| 2022 | SIGIR | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. | Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2021 | AAAI | Progressive One-shot Human Parsing. | Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao |
| 2021 | AAAI | SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. | Shaoli Huang, Xinchao Wang, Dacheng Tao |
| 2021 | AAAI | Multi-label Few-shot Learning with Semantic Inference (Student Abstract). | Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao |
| 2021 | AAAI | Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. | Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu |
| 2021 | AAAI | Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. | Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao |
| 2021 | ACL | Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | Progressive Multi-Granularity Training for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | CVPR | Online Multiple Object Tracking With Cross-Task Synergy. | Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao |
| 2021 | CVPR | Affordance Transfer Learning for Human-Object Interaction Detection. | Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | CVPR | Detecting Human-Object Interaction via Fabricated Compositional Learning. | Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | CVPR | Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | CVPR | Amalgamating Knowledge From Heterogeneous Graph Neural Networks. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | CVPR | Scene Essence. | Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao |
| 2021 | CVPR | AdderSR: Towards Energy Efficient Image Super-Resolution. | Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao |
| 2021 | CVPR | Tree-Like Decision Distillation. | Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song |
| 2021 | CVPR | Manifold Regularized Dynamic Network Pruning. | Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu |
| 2021 | CVPR | Learning Progressive Point Embeddings for 3D Point Cloud Generation. | Cheng Wen, Baosheng Yu, Dacheng Tao |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection. | Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao |
| 2021 | CVPR | Where and What? Examining Interpretable Disentangled Representations. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2021 | EMNLP | Improving Neural Machine Translation by Bidirectional Training. | Liang Ding, Di Wu, Dacheng Tao |
| 2021 | ICCV | Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition. | Shaoli Huang, Xinchao Wang, Dacheng Tao |
| 2021 | ICCV | Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | ICCV | Adaptive Curriculum Learning. | Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao |
| 2021 | ICCV | SynFace: Face Recognition with Synthetic Data. | Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao |
| 2021 | ICCV | TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. | Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li |
| 2021 | ICCV | Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization. | Yufei Xu, Jing Zhang, Dacheng Tao |
| 2021 | ICLR | Understanding and Improving Lexical Choice in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ICML | Commutative Lie Group VAE for Disentanglement Learning. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2021 | IJCAI | A Comprehensive Survey on Image Dehazing Based on Deep Learning. | Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao |
| 2021 | IJCAI | Deep Automatic Natural Image Matting. | Jizhizi Li, Jing Zhang, Dacheng Tao |
| 2021 | IJCAI | One-Shot Affordance Detection. | Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao |
| 2021 | IJCAI | BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. | Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu |
| 2021 | IJCNN | Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields. | Jue Wang, Shaoli Huang, Dacheng Tao |
| 2021 | UAI | Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. | Fengxiang He, Bohan Wang, Dacheng Tao |
| 2020 | AAAI | Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing. | Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao |
| 2020 | AAAI | Diversified Bayesian Nonnegative Matrix Factorization. | Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao |
| 2020 | ACL | Self-Attention with Cross-Lingual Position Representation. | Liang Ding, Longyue Wang, Dacheng Tao |
| 2020 | COLING | Context-Aware Cross-Attention for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu |
| 2020 | CVPR | Context Aware Graph Convolution for Skeleton-Based Action Recognition. | Xikun Zhang, Chang Xu, Dacheng Tao |
| 2020 | CVPR | PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation. | Zhuo Chen, Chaoyue Wang, Bo Yuan, Dacheng Tao |
| 2020 | CVPR | FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation. | Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao |
| 2020 | CVPR | On Positive-Unlabeled Classification in GAN. | Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao |
| 2020 | CVPR | GPS-Net: Graph Property Sensing Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao |
| 2020 | CVPR | Recurrent Feature Reasoning for Image Inpainting. | Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao |
| 2020 | CVPR | Learning Unseen Concepts via Hierarchical Decomposition and Composition. | Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao |
| 2020 | CVPR | Distilling Knowledge From Graph Convolutional Networks. | Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang |
| 2020 | CVPR | Syntax-Aware Action Targeting for Video Captioning. | Qi Zheng, Chaoyue Wang, Dacheng Tao |
| 2020 | CVPR | Learning Oracle Attention for High-Fidelity Face Completion. | Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao |