Wang, Yihan

28 publications

NeurIPS 2025 BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang, Yiwei Lu, Xiao-Shan Gao, Gautam Kamath, Yaoliang Yu

MLJ 2025 HE-GAD: A Behavior-Enhanced Contrastive Learning Framework for Graph Anomaly Detection Ling Zheng, Qi Song, Yihan Wang, Zhitao Wang, Xiangyang Li

TMLR 2025 MUC: Machine Unlearning for Contrastive Learning with Black-Box Evaluation Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

NeurIPS 2025 On the Loss of Context Awareness in General Instruction Fine-Tuning Yihan Wang, Andrew Bai, Nanyun Peng, Cho-Jui Hsieh

ICLR 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu, Yihan Wang, Yifan Zhu, Yibo Miao, Xiao-Shan Gao

NeurIPS 2025 QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen

CVPR 2025 Structure-from-Motion with a Non-Parametric Camera Model Yihan Wang, Linfei Pan, Marc Pollefeys, Viktor Larsson

ICMLW 2024 Alignment Calibration: Machine Unlearning for Contrastive Learning Under Auditing Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

NeurIPS 2024 Efficient Availability Attacks Against Supervised and Contrastive Learning Simultaneously Yihan Wang, Yifan Zhu, Xiao-Shan Gao

AAAI 2024 Game-Theoretic Unlearnable Example Generator Shuang Liu, Yihan Wang, Xiao-Shan Gao

ICMLW 2024 On the Robustness of Neural Networks Quantization Against Data Poisoning Attacks Yiwei Lu, Yihan Wang, Guojun Zhang, Yaoliang Yu

ECCV 2024 SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow Yihan Wang, Lahav O Lipson, Jia Deng

ICLR 2024 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

ICML 2023 Adversarial Parameter Attack on Deep Neural Networks Lijia Yu, Yihan Wang, Xiao-Shan Gao

CVPR 2023 Infinite Photorealistic Worlds Using Procedural Generation Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng

NeurIPSW 2023 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

NeurIPS 2023 Universality and Limitations of Prompt Tuning Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

ICML 2022 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, Zico Kolter

NeurIPS 2022 Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh

NeurIPSW 2022 Evaluating Worst Case Adversarial Weather Perturbations Robustness Yihan Wang, Yunhao Ba, Howard Chenyang Zhang, Huan Zhang, Achuta Kadambi, Stefano Soatto, Alex Wong, Cho-Jui Hsieh

CVPR 2022 Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han

ICLR 2022 On the Convergence of Certified Robust Training with Interval Bound Propagation Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh

ICLR 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

NeurIPS 2021 Fast Certified Robust Training with Short Warmup Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

ICMLW 2021 Fast Certified Robust Training with Short Warmup Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

ICLR 2021 Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh

NeurIPS 2020 Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh

ICML 2020 On Lp-Norm Robustness of Ensemble Decision Stumps and Trees Yihan Wang, Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh