Lin, Min

70 publications

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

ICCV 2025 A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation Rongtao Xu, Jian Zhang, Minghao Guo, Youpeng Wen, Haoting Yang, Min Lin, Jianzheng Huang, Zhe Li, Kaidong Zhang, Liqiong Wang, Yuxuan Kuang, Meng Cao, Feng Zheng, Xiaodan Liang

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

ICML 2025 Continual Reinforcement Learning by Planning with Online World Models Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin

AAAI 2025 FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation Min Lin, Gangwei Xu, Yun Wang, Xianqi Wang, Xin Yang

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

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

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

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 PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly Liang Ma, Jiajun Wen, Min Lin, Rongtao Xu, Xiwen Liang, Bingqian Lin, Jun Ma, Yongxin Wang, Ziming Wei, Haokun Lin, Mingfei Han, Meng Cao, Bokui Chen, Ivan Laptev, Xiaodan Liang

ICML 2025 PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization Xinyi Wan, Penghui Qi, Guangxing Huang, Min Lin, Jialin Li

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

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

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

ICCV 2025 ZeroStereo: Zero-Shot Stereo Matching from Single Images Xianqi Wang, Hao Yang, Gangwei Xu, Junda Cheng, Min Lin, Yong Deng, Jinliang Zang, Yurui Chen, Xin Yang

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

NeurIPS 2024 Amortized Eigendecomposition for Neural Networks Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin

ICLR 2024 Automatic Functional Differentiation in JAX 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 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontanon

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

ICLR 2024 Locality Sensitive Sparse Encoding for Learning World Models Online Zichen Liu, Chao Du, Wee Sun Lee, Min Lin

NeurIPS 2024 Pipeline Parallelism with Controllable Memory Penghui Qi, Xinyi Wan, Nyamdavaa Amar, 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

NeurIPSW 2024 Sample-Efficient Alignment for LLMs Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min Lin

NeurIPS 2024 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong

NeurIPS 2024 Stochastic Taylor Derivative Estimator: Efficient Amortization for Arbitrary Differential Operators Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

ICLR 2024 Zero Bubble (Almost) Pipeline Parallelism Penghui Qi, Xinyi Wan, Guangxing Huang, Min Lin

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

ICLR 2023 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A.H. Castro Neto, Kostya S. Novoselov, 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

ICCV 2023 IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation Yun Wang, Cheng Chi, Min Lin, Xin Yang

ICLRW 2023 JAX-XC: Exchange Correlation Functionals Library in JAX Kunhao Zheng, Min Lin

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

NeurIPS 2023 Mutual Information Regularized Offline Reinforcement Learning Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

NeurIPS 2023 NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF Stefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee

ICLRW 2023 Neural Integral Functionals Zheyuan Hu, Tianbo Li, Zekun Shi, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, Shuicheng Yan, 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

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

NeurIPS 2022 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan

NeurIPSW 2022 Mutual Information Regularized Offline Reinforcement Learning Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

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

NeurIPS 2021 How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang

ICMLW 2020 Continual Learning from the Perspective of Compression Xu He, Min Lin

NeurIPS 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): A New Approach to Continual Learning Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

NeurIPS 2019 Gradient Based Sample Selection for Online Continual Learning Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

ICML 2019 On the Spectral Bias of Neural Networks Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, Aaron Courville

NeurIPS 2019 Online Continual Learning with Maximal Interfered Retrieval Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia

IJCAI 2017 Global-Residual and Local-Boundary Refinement Networks for Rectifying Scene Parsing Predictions Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan

ICLR 2015 Purine: A Bi-Graph Based Deep Learning Framework Min Lin, Shuo Li, Xuan Luo, Shuicheng Yan

ICLR 2014 Network in Network Min Lin, Qiang Chen, Shuicheng Yan

ICCV 2013 Correntropy Induced L2 Graph for Robust Subspace Clustering Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin