Pang, Tianyu

76 publications

TMLR 2026 QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design Benjamin Schneider, Dongfu Jiang, Chao Du, Tianyu Pang, Wenhu Chen

ICLR 2025 A Closer Look at Machine Unlearning for Large Language Models Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin

NeurIPS 2025 Adversarial Attacks Against Closed-Source MLLMs via Feature Optimal Alignment Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu

ICML 2025 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Tan, Zhuoran Yang

ICLR 2025 Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

ICLR 2025 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

TMLR 2025 From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang

NeurIPS 2025 GenSpace: Benchmarking Spatially-Aware Image Generation Zehan Wang, Jiayang Xu, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao

ICLR 2025 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

ICLR 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu

ICML 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

ICLRW 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

ICML 2025 LIFT the Veil for the Truth: Principal Weights Emerge After Rank Reduction for Reasoning-Focused Supervised Fine-Tuning Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu

NeurIPS 2025 Lifelong Safety Alignment for Language Models Haoyu Wang, Yifei Zhao, Zeyu Qin, Chao Du, Min Lin, Xueqian Wang, Tianyu Pang

TMLR 2025 LightTransfer: Your Long-Context LLM Is Secretly a Hybrid Model with Effortless Adaptation Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

ICLRW 2025 LightTransfer: Your Long-Context LLM Is Secretly a Hybrid Model with Effortless Adaptation Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

ICCV 2025 Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin

NeurIPS 2025 NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh

TMLR 2025 On Memorization in Diffusion Models Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang

NeurIPS 2025 Optimizing Anytime Reasoning via Budget Relative Policy Optimization Penghui Qi, Zichen Liu, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin

NeurIPS 2025 Orient Anything V2: Unifying Orientation and Rotation Understanding Zehan Wang, Ziang Zhang, Jiayang Xu, Jialei Wang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao

ICML 2025 Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao

ICLR 2025 RegMix: Data Mixture as Regression for Language Model Pre-Training Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin

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

ICLR 2025 Scaling up Masked Diffusion Models on Text Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li

NeurIPS 2025 SkyLadder: Better and Faster Pretraining via Context Window Scheduling Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan

ICML 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICLRW 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICML 2025 Weak-to-Strong Jailbreaking on Large Language Models Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang

ICLR 2025 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

TMLR 2025 When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang

ICML 2024 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

ICLRW 2024 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

ECCV 2024 BAFFLE: A Baseline of Backpropagation-Free Federated Learning Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin

ICMLW 2024 Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

NeurIPS 2024 Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

NeurIPSW 2024 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

ICLR 2024 Finetuning Text-to-Image Diffusion Models for Fairness Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan Kankanhalli

NeurIPS 2024 Graph Diffusion Policy Optimization Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Wei Chen

NeurIPS 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

ICMLW 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

NeurIPSW 2024 Infecting LLM Agents via Generalizable Adversarial Attack Weichen Yu, Kai Hu, Tianyu Pang, Chao Du, Min Lin, Matt Fredrikson

ICLR 2024 Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin

NeurIPSW 2024 S2L-RM: Short-to-Long Reward Modeling Changyu Chen, Zichen Liu, Haonan Wang, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

ICMLW 2024 Weak-to-Strong Jailbreaking on Large Language Models Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang

ICML 2023 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

ICML 2023 Better Diffusion Models Further Improve Adversarial Training Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan

NeurIPS 2023 Efficient Diffusion Policies for Offline Reinforcement Learning Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan

CVPR 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung

NeurIPS 2023 Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

ICML 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

NeurIPSW 2023 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang, Qian Liu, Bill Yuchen Lin, Chao Du, Tianyu Pang, Min Lin

ICML 2023 Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin

NeurIPS 2023 On Calibrating Diffusion Probabilistic Models Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng

NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin

NeurIPS 2023 Temperature Balancing, Layer-Wise Weight Analysis, and Neural Network Training Yefan Zhou, Tianyu Pang, Keqin Liu, Charles Martin, Michael W. Mahoney, Yaoqing Yang

ICMLW 2022 $O(N^2)$ Universal Antisymmetry in Fermionic Neural Networks Tianyu Pang, Shuicheng Yan, Min Lin

NeurIPS 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang, Tianyu Pang, Yang Liu

ECCV 2022 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

ICLR 2022 Exploring Memorization in Adversarial Training Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

ICML 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan

CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

NeurIPS 2021 Accumulative Poisoning Attacks on Real-Time Data Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICLR 2021 Bag of Tricks for Adversarial Training Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICCV 2021 Black-Box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

ICMLW 2021 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang

ICCV 2021 Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue

NeurIPS 2020 Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su

NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su

NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

ICLR 2020 Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang, Kun Xu, Jun Zhu

ICLR 2020 Rethinking SoftMax Cross-Entropy Loss for Adversarial Robustness Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu

ICML 2019 Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu

NeurIPS 2019 Improving Black-Box Adversarial Attacks with a Transfer-Based Prior Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

ICML 2018 Max-Mahalanobis Linear Discriminant Analysis Networks Tianyu Pang, Chao Du, Jun Zhu

NeurIPS 2018 Towards Robust Detection of Adversarial Examples Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu