Chao Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
16
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification. | Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An |
| 2025 | ACL | AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. | Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 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 | ICCV | Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. | Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin |
| 2025 | ICDE | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. | Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du |
| 2025 | ICLR | Bootstrapping Language Models with DPO Implicit Rewards. | Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin |
| 2025 | ICLR | When Attention Sink Emerges in Language Models: An Empirical View. | Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin |
| 2025 | ICLR | Improved Techniques for Optimization-Based Jailbreaking on Large Language Models. | Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin |
| 2025 | ICLR | Improving Long-Text Alignment for Text-to-Image Diffusion Models. | Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu |
| 2025 | ICLR | Scaling up Masked Diffusion Models on Text. | Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li |
| 2025 | ICLR | A Closer Look at Machine Unlearning for Large Language Models. | Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin |
| 2025 | ICLR | Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. | Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin |
| 2025 | ICML | BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. | Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang |
| 2025 | ICML | Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models. | Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao |
| 2025 | ICML | Continual Reinforcement Learning by Planning with Online World Models. | Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin |
| 2025 | ICML | Improving Your Model Ranking on Chatbot Arena by Vote Rigging. | Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin |
| 2025 | ICML | Weak-to-Strong Jailbreaking on Large Language Models. | Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang |
| 2024 | CIKM | COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. | Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang |
| 2024 | ECCV | BAFFLE: A Baseline of Backpropagation-Free Federated Learning. | Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin |
| 2024 | ICLR | Locality Sensitive Sparse Encoding for Learning World Models Online. | Zichen Liu, Chao Du, Wee Sun Lee, Min Lin |
| 2024 | ICLR | Finetuning Text-to-Image Diffusion Models for Fairness. | Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli |
| 2024 | ICLR | Intriguing Properties of Data Attribution on Diffusion Models. | Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin |
| 2024 | ICML | Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. | Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin |
| 2023 | CVPR | Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. | Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung |
| 2023 | DSN | How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. | Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, igo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang |
| 2023 | ICML | Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. | Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin |
| 2023 | ICML | Better Diffusion Models Further Improve Adversarial Training. | Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan |
| 2023 | ICML | Bag of Tricks for Training Data Extraction from Language Models. | Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan |
| 2023 | ICML | Exploring Model Dynamics for Accumulative Poisoning Discovery. | Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han |
| 2023 | KDD | Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. | Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng |
| 2023 | KDD | Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. | Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2022 | KDD | ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. | Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng |
| 2022 | KDD | NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. | Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2021 | AAAI | A Bayesian Approach for Subset Selection in Contextual Bandits. | Jialian Li, Chao Du, Jun Zhu |
| 2021 | AAAI | Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. | Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | AAAI | PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. | Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | EuroSys | CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. | Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou |
| 2021 | KDD | Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. | Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee |
| 2021 | KDD | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2020 | ICLR | To Relieve Your Headache of Training an MRF, Take AdVIL. | Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang |
| 2020 | ICLR | Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. | Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu |
| 2019 | ICML | Improving Adversarial Robustness via Promoting Ensemble Diversity. | Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu |
| 2019 | VR | Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays. | Yajie Zhao, Qingguo Xu, Weikai Chen, Chao Du, Jun Xing, Xinyu Huang, Ruigang Yang |
| 2018 | AAAI | Collaborative Filtering With User-Item Co-Autoregressive Models. | Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang |
| 2018 | ICML | Max-Mahalanobis Linear Discriminant Analysis Networks. | Tianyu Pang, Chao Du, Jun Zhu |
| 2016 | ISMAR | Edge Snapping-Based Depth Enhancement for Dynamic Occlusion Handling in Augmented Reality. | Chao Du, Yen-Lin Chen, Mao Ye, Liu Ren |
| 2015 | ICCV | Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction. | Xinxin Zuo, Chao Du, Sen Wang, Jiangbin Zheng, Ruigang Yang |
| 2014 | ICML | Composite Quantization for Approximate Nearest Neighbor Search. | Ting Zhang, Chao Du, Jingdong Wang |
| 2014 | ISCAS | Analog signal processing on a FPAA/memristor hybrid circuit. | Mika Laiho, Eero Lehtonen, Jennifer O. Hasler, Jiantao Zhou, Chao Du, Wei Lu, Jussi H. Poikonen |
| 2009 | ACML | Injecting Structured Data to Generative Topic Model in Enterprise Settings. | Han Xiao, Xiaojie Wang, Chao Du |