Sun, Lichao

63 publications

TMLR 2026 Beyond Affinity: A Benchmark of 1d, 2D, and 3D Methods Reveals Critical Trade-Offs in Structure-Based Drug Design Kangyu Zheng, Kai Zhang, Jiale Tan, Xuehan Chen, Yingzhou Lu, Zaixi Zhang, Lichao Sun, Marinka Zitnik, Tianfan Fu, Zhiding Liang

NeurIPS 2025 Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

CVPR 2025 BadToken: Token-Level Backdoor Attacks to Multi-Modal Large Language Models Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun

NeurIPS 2025 BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Xueyang Zhou, Guiyao Tie, Guowen Zhang, Hecheng Wang, Pan Zhou, Lichao Sun

ICLR 2025 BenTo: Benchmark Reduction with In-Context Transferability Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou

ICLR 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao

NeurIPS 2025 Can LLMs Correct Themselves? a Benchmark of Self-Correction in LLMs Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun

ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang

NeurIPS 2025 First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun

ICLR 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-Oriented Understanding Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

ICCV 2025 LLaVA-CoT: Let Vision Language Models Reason Step-by-Step Guowei Xu, Peng Jin, Ziang Wu, Hao Li, Yibing Song, Lichao Sun, Li Yuan

NeurIPS 2025 Tackling Continual Offline RL Through Selective Weights Activation on Aligned Spaces Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

NeurIPS 2025 Towards Building Model/Prompt-Transferable Attackers Against Large Vision-Language Models Xiaowen Cai, Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Keke Tang, Pan Zhou, Lichao Sun, Wei Hu

ICCV 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

ICML 2025 XAttnMark: Learning Robust Audio Watermarking with Cross-Attention Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli

CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

ECCVW 2024 Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI Ruizhe Zheng, Lichao Sun

NeurIPSW 2024 Biomedical SAM-2: Segment Anything in Biomedical Images and Videos Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Sekeun Kim, Sifan Song, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun

NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang

ECCV 2024 EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun

NeurIPS 2024 GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu

NeurIPSW 2024 GUI-WORLD: A GUI-Oriented Video Dataset for Multimodal LLM-Based Agents Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

NeurIPSW 2024 Hetero-UNet: Heterogeneous Transformer with Mamba for Medical Image Segmentation Zhiling Yan, Yixin Liu, Xiang Li, Lichao Sun

NeurIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang

NeurIPSW 2024 I Think, Therefore I Am: Benchmarking Awareness of Large Language Models Using AwareBench Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun

ICML 2024 Improving Interpretation Faithfulness for Vision Transformers Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

ICML 2024 In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang

ICML 2024 MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun

ICMLW 2024 Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun

CVPR 2024 MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

ICLR 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun

NeurIPS 2024 Pandora's Box: Towards Building Universal Attackers Against Real-World Large Vision-Language Models Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun

CVPR 2024 Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

MLOSS 2024 PyGOD: A Python Library for Graph Outlier Detection Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu

AAAI 2024 Revisiting Gradient Pruning: A Dual Realization for Defending Against Gradient Attacks Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao

ICMLW 2024 Self-Cognition in Large Language Models: An Exploratory Study Dongping Chen, Jiawen Shi, Neil Zhenqiang Gong, Yao Wan, Pan Zhou, Lichao Sun

AAAI 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun

NeurIPSW 2024 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Xiang Li, Quanzheng Li, Lifang He, Lichao Sun

ICMLW 2024 TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones Zhengqing Yuan, Zhaoxu Li, Weiran Huang, Yanfang Ye, Lichao Sun

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

ICCV 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun

NeurIPS 2023 Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang

AAAI 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

IJCAI 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

ICLR 2023 SCALE-UP: An Efficient Black-Box Input-Level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu

AAAI 2023 SEAT: Stable and Explainable Attention Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

NeurIPS 2023 Scalable Fair Influence Maximization Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen

AAAI 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

ICLR 2023 Transferable Unlearnable Examples Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang

NeurIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu

IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

NeurIPS 2022 Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun

ICLR 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

IJCAI 2022 Membership Inference via Backdooring Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang

AAAI 2022 SplitFed: When Federated Learning Meets Split Learning Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun

IJCAI 2021 Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun, Lingjuan Lyu

IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

IJCAI 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy Lichao Sun, Jianwei Qian, Xun Chen

IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun

NeurIPS 2021 Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu

AAAI 2019 Private Model Compression via Knowledge Distillation Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu

ECML-PKDD 2017 Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-View Deep Learning Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow