Li, Bo

362 publications

TMLR 2026 Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

ICLR 2025 $r^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning Mintong Kang, Bo Li

ICLR 2025 AIR-BENCH 2024: A Safety Benchmark Based on Regulation and Policies Specified Risk Categories Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

ICML 2025 AdvAgent: Controllable Blackbox Red-Teaming on Web Agents Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li

ICLR 2025 AdvWave: Stealthy Adversarial Jailbreak Attack Against Large Audio-Language Models Mintong Kang, Chejian Xu, Bo Li

ICLRW 2025 AdvWave: Stealthy Adversarial Jailbreak Attack Against Large Audio-Language Models Mintong Kang, Chejian Xu, Shuang Yang, Bo Li

AAAI 2025 Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li

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

ICLR 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

ICLR 2025 AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao

NeurIPS 2025 AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li

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 Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen, HaiJing Guo, Kaixun Jiang, Jiyuan Fu, Xinyu Zhou, Dingkang Yang, Hao Tang, Bo Li, Wenqiang Zhang

AAAI 2025 Boosting Vision State Space Model with Fractal Scanning Haoke Xiao, Lv Tang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li

NeurIPS 2025 C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails Mintong Kang, Zhaorun Chen, Bo Li

AAAI 2025 COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li

ICML 2025 Can Compressed LLMs Truly Act? an Empirical Evaluation of Agentic Capabilities in LLM Compression Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li

ICLR 2025 Can Watermarks Be Used to Detect LLM IP Infringement for Free? Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao

NeurIPS 2025 ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu

AAAI 2025 DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li

ICCV 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation Hongcheng Li, Yucan Zhou, Xiaoyan Gu, Bo Li, Weiping Wang

CVPR 2025 EgoLife: Towards Egocentric Life Assistant Jingkang Yang, Shuai Liu, Hongming Guo, Yuhao Dong, Xiamengwei Zhang, Sicheng Zhang, Pengyun Wang, Zitang Zhou, Binzhu Xie, Ziyue Wang, Bei Ouyang, Zhengyu Lin, Marco Cominelli, Zhongang Cai, Bo Li, Yuanhan Zhang, Peiyuan Zhang, Fangzhou Hong, Joerg Widmer, Francesco Gringoli, Lei Yang, Ziwei Liu

ICLR 2025 Eia: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun

IJCAI 2025 Endogenous Recovery via Within-Modality Prototypes for Incomplete Multimodal Hashing Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li

NeurIPS 2025 Enhancing Diffusion-Based Unrestricted Adversarial Attacks via Adversary Preferences Alignment Kaixun Jiang, Zhaoyu Chen, HaiJing Guo, Jinglun Li, Jiyuan Fu, Pinxue Guo, Hao Tang, Bo Li, Wenqiang Zhang

CVPR 2025 GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping Jinfeng Liu, Lingtong Kong, Bo Li, Dan Xu

ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li

NeurIPS 2025 GuardSet-X: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li

AAAI 2025 HFF-Tracker: A Hierarchical Fine-Grained Fusion Tracker for Referring Multi-Object Tracking Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen

ICML 2025 Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu, Kang Wang, Bo Li

ICLR 2025 High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu

NeurIPS 2025 IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector Zheng Chen, Yushi Feng, Jisheng Dang, Changyang He, Yue Deng, Hongxi Pu, Haoxuan Li, Bo Li

ICLRW 2025 KnowGuard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning Zhen Xiang, Shuang Yang, Nathaniel D. Bastian, Bo Li

ICLRW 2025 KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lecue, Shuang Yang, Dawn Song, Bo Li

ICCV 2025 LGA-Net: Learning Local and Global Affinities for Sparse Scribble Based Image Colorization Hongjin Lyu, Bo Li, Paul L. Rosin, Yu-Kun Lai

ICLRW 2025 LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Lingjie Li, Changran Hu, Bo Li, Urmish Thakker

ICLRW 2025 LLMs Lost in Translation: M-Alert Uncovers Cross-Linguistic Safety Gaps Felix Friedrich, Simone Tedeschi, Patrick Schramowski, Manuel Brack, Roberto Navigli, Huu Nguyen, Bo Li, Kristian Kersting

ICLR 2025 LLaVA-Interleave: Tackling Multi-Image, Video, and 3D in Large Multimodal Models Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li

TMLR 2025 LLaVA-OneVision: Easy Visual Task Transfer Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li

TMLR 2025 LLaVA-Video: Video Instruction Tuning with Synthetic Data Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li

ICCV 2025 Large Multi-Modal Models Can Interpret Features in Large Multi-Modal Models Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu

ICML 2025 Learning Adaptive Lighting via Channel-Aware Guidance Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang

AAAI 2025 Logic-Q: Improving Deep Reinforcement Learning-Based Quantitative Trading via Program Sketch-Based Tuning Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun

TMLR 2025 Long Context Transfer from Language to Vision Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu

ICLR 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

ICCV 2025 MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration Tao Wang, Peiwen Xia, Bo Li, Peng-Tao Jiang, Zhe Kong, Kaihao Zhang, Tong Lu, Wenhan Luo

AAAI 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li

ICLR 2025 MixEval-X: Any-to-Any Evaluations from Real-World Data Mixture Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

ICLR 2025 Multi-Task Dense Predictions via Unleashing the Power of Diffusion Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li

ICML 2025 OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Jin Xin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu

ICML 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu

IJCAI 2025 PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion Xiaoli Lin, Xiongwei Liao, Jun Pang, Bo Li, Xiaolong Zhang

NeurIPS 2025 Photography Perspective Composition: Towards Aesthetic Perspective Recommendation Lujian Yao, Siming Zheng, Xinbin Yuan, Zhuoxuan Cai, Pu Wu, Jinwei Chen, Bo Li, Peng-Tao Jiang

NeurIPS 2025 Private Online Learning Against an Adaptive Adversary: Realizable and Agnostic Settings Bo Li, Wei Wang, Peng Ye

COLT 2025 Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity Bo Li, Wei Wang, Peng Ye

AAAI 2025 RLLTE: Long-Term Evolution Project of Reinforcement Learning Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng

TMLR 2025 RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Wenjun Zeng, Glen Berseth

ICML 2025 Reliable and Efficient Amortized Model-Based Evaluation Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo

ICLRW 2025 Reliable and Efficient Amortized Model-Based Evaluation Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo

AAAI 2025 Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li, Yuyang Yin, Bo Li, Xi Chen, Xin Xin

ICCV 2025 SDMatte: Grafting Diffusion Models for Interactive Matting Longfei Huang, Yu Liang, Hao Zhang, Jinwei Chen, Wei Dong, Lunde Chen, Wanyu Liu, Bo Li, Peng-Tao Jiang

NeurIPS 2025 SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Xinbin Yuan, Jian Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li

NeurIPS 2025 SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI Yuzhou Nie, Zhun Wang, Yu Yang, Ruizhe Jiang, Yuheng Tang, Xander Davies, Yarin Gal, Bo Li, Wenbo Guo, Dawn Song

ICLR 2025 SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

ICML 2025 SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li

ICLRW 2025 SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran

ICLR 2025 SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li

ICLRW 2025 SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations Zhaorun Chen, Francesco Pinto, Minzhou Pan, Shuang Yang, Bo Li

ICML 2025 Settling the Maximin Share Fairness for Scheduling Among Groups of Machines Bo Li, Fangxiao Wang, Xing Shiji

ICML 2025 ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning Zhaorun Chen, Mintong Kang, Bo Li

ICLRW 2025 ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning Zhaorun Chen, Mintong Kang, Shuang Yang, Bo Li

AAAI 2025 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

ICLR 2025 Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika

AAAI 2025 The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective Alexander Lam, Bo Li, Ankang Sun

ICLRW 2025 Training Domain Draft Models for Speculative Decoding: Best Practices and Insights Fenglu Hong, Ravi Shanker Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu

ICML 2025 UDora: A Unified Red Teaming Framework Against LLM Agents by Dynamically Hijacking Their Own Reasoning Jiawei Zhang, Shuang Yang, Bo Li

ICCV 2025 ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

ICML 2025 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien

NeurIPS 2025 VMDT: Decoding the Trustworthiness of Video Foundation Models Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song

NeurIPS 2024 3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration Liyuan Zhang, Le Hui, Qi Liu, Bo Li, Yuchao Dai

IJCAI 2024 A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna Yu Zhou, Tianze Wei, Minming Li, Bo Li

CVPR 2024 ASAM: Boosting Segment Anything Model with Adversarial Tuning Bo Li, Haoke Xiao, Lv Tang

NeurIPS 2024 AgentPoison: Red-Teaming LLM Agents via Poisoning Memory or Knowledge Bases Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li

IJCAI 2024 Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio Bo Li, Zihao Li, Shengxin Liu, Zekai Wu

ICLR 2024 An Improved Analysis of Per-Sample and Per-Update Clipping in Federated Learning Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich

NeurIPSW 2024 AnyPrefer: An Automatic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

ICLRW 2024 ArtPrompt: ASCII Art-Based Jailbreak Attacks Against Aligned LLMs Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

NeurIPS 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-Based Reinforcement Learning Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

NeurIPS 2024 BackdoorAlign: Mitigating Fine-Tuning Based Jailbreak Attack with Backdoor Enhanced Safety Alignment Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao

ICLR 2024 BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li

DMLR 2024 Benchmarking Robustness of Multimodal Image-Text Models Under Distribution Shift Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

ECCV 2024 Beta-Tuned Timestep Diffusion Model Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

ICML 2024 C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li

AAAI 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng

ICLR 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

ICML 2024 Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li

CVPR 2024 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles Jiawei Zhang, Chejian Xu, Bo Li

NeurIPS 2024 Consistency Purification: Effective and Efficient Diffusion Purification Towards Certified Robustness Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao

AAAI 2024 Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

ICLR 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang

NeurIPS 2024 Data Free Backdoor Attacks Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song

ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

ICLRW 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

ICML 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICLRW 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICLR 2024 Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

ICML 2024 Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li

AISTATS 2024 Enhancing Distributional Stability Among Sub-Populations Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui

AAAI 2024 Envy-Free House Allocation Under Uncertain Preferences Haris Aziz, Isaiah Iliffe, Bo Li, Angus Ritossa, Ankang Sun, Mashbat Suzuki

ICML 2024 Fair Federated Learning via the Proportional Veto Core Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia

ECCV 2024 FunQA: Towards Surprising Video Comprehension Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

ICML 2024 GRATH: Gradual Self-Truthifying for Large Language Models Weixin Chen, Dawn Song, Bo Li

ICML 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui

JMLR 2024 Gradual Domain Adaptation: Theory and Algorithms Yifei He, Haoxiang Wang, Bo Li, Han Zhao

ICML 2024 HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou

ICLRW 2024 HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou

ICML 2024 HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan Hendrycks

NeurIPSW 2024 IDS-Agent: An LLM Agent for Explainable Intrusion Detection in IoT Networks Yanjie Li, Zhen Xiang, Nathaniel D. Bastian, Dawn Song, Bo Li

IJCAI 2024 Improved Approximation of Weighted MMS Fairness for Indivisible Chores Fangxiao Wang, Bo Li, Pinyan Lu

ICML 2024 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy Bo Li, Wei Wang, Peng Ye

ICML 2024 Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li

CVPR 2024 Improving Depth Completion via Depth Feature Upsampling Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, Yuchao Dai

ICML 2024 InstructRetro: Instruction Tuning Post Retrieval-Augmented Pretraining Boxin Wang, Wei Ping, Lawrence Mcafee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro

AAAI 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang

ECCV 2024 MMBENCH: Is Your Multi-Modal Model an All-Around Player? Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

CVPR 2024 MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang

ECCV 2024 Mono-ViFI: A Unified Learning Framework for Self-Supervised Single- and Multi-Frame Monocular Depth Estimation Jinfeng Liu, Lingtong Kong, Bo Li, Zerong Wang, Hong Gu, Jinwei Chen

CVPR 2024 Multi-Task Dense Prediction via Mixture of Low-Rank Experts Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li

ECCV 2024 Octopus: Embodied Vision-Language Programmer from Environmental Feedback Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, ChenCheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

NeurIPSW 2024 On Memorization of Large Language Models in Logical Reasoning Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar

AAAI 2024 Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion Dayan Wu, Qinghang Su, Bo Li, Weiping Wang

CVPR 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

IJCAI 2024 Public Event Scheduling with Busy Agents Bo Li, Lijun Li, Minming Li, Ruilong Zhang

NeurIPS 2024 QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman

CVPR 2024 Re-Thinking Data Availability Attacks Against Deep Neural Networks Bin Fang, Bo Li, Shuang Wu, Shouhong Ding, Ran Yi, Lizhuang Ma

NeurIPS 2024 RedCode: Risky Code Execution and Generation Benchmark for Code Agents Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li

CVPR 2024 Revisiting Single Image Reflection Removal in the Wild Yurui Zhu, Xueyang Fu, Peng-Tao Jiang, Hao Zhang, Qibin Sun, Jinwei Chen, Zheng-Jun Zha, Bo Li

ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models Against Undesired Content Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li

ICLR 2024 Ring-a-Bell! How Reliable Are Concept Removal Methods for Diffusion Models? Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

NeurIPS 2024 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Andy Zhou, Bo Li, Haohan Wang

ICLRW 2024 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Andy Zhou, Bo Li, Haohan Wang

ECCV 2024 SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging Lingtong Kong, Bo Li, Yike Xiong, Hao Zhang, Hong Gu, Jinwei Chen

ICML 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

NeurIPSW 2024 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

TMLR 2024 Synthetic Data Shuffling Accelerates the Convergence of Federated Learning Under Data Heterogeneity Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich

NeurIPS 2024 The Limits of Differential Privacy in Online Learning Bo Li, Wei Wang, Peng Ye

NeurIPS 2024 Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

NeurIPS 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance Robert C. Garrett, Trevor Harris, Zhuo Wang, Bo Li

ICCV 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang

NeurIPS 2023 An Inductive Bias for Tabular Deep Learning Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah

AAAI 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions Under Noisy Annotations Jiawen Zheng, Bo Li, Shengchuan Zhang, Shuang Wu, Liujuan Cao, Shouhong Ding

ICML 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

CVPR 2023 BBDM: Image-to-Image Translation with Brownian Bridge Diffusion Models Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai

NeurIPSW 2023 BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li

NeurIPS 2023 CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen J. Xiang, Zidi Xiong, Bo Li

TMLR 2023 Can Pruning Improve Certified Robustness of Neural Networks? Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

ICMLW 2023 Can Public Large Language Models Help Private Cross-Device Federated Learning? Boxin Wang, Yibo Jacky Zhang, Yuan Cao, Bo Li, Hugh Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

ICML 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

NeurIPS 2023 Conditional Adapters: Parameter-Efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

NeurIPS 2023 Content-Based Unrestricted Adversarial Attack Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang

NeurIPS 2023 Continuous Parametric Optical Flow Jianqin Luo, Zhexiong Wan, Yuxin Mao, Bo Li, Yuchao Dai

NeurIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

AAAI 2023 Delving into the Adversarial Robustness of Federated Learning Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

ICLR 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

NeurIPS 2023 DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang, Dawn Song, Bo Li

ICMLW 2023 DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles Chejian Xu, Ding Zhao, Alberto Sangiovanni-Vincentelli, Bo Li

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

CVPR 2023 Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li

ICCV 2023 Efficient Decision-Based Black-Box Patch Attacks on Video Recognition Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang

ICLR 2023 Eva: Practical Second-Order Optimization with Kronecker-Vectorized Approximation Lin Zhang, Shaohuai Shi, Bo Li

NeurIPSW 2023 FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Arash Nourian, Han Zhao, Bo Li

CLeaR 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

NeurIPS 2023 Fair Allocation of Indivisible Chores: Beyond Additive Costs Bo Li, Fangxiao Wang, Yu Zhou

NeurIPS 2023 FedGame: A Game-Theoretic Defense Against Backdoor Attacks in Federated Learning Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

CVPR 2023 Graph Transformer GANs for Graph-Constrained House Generation Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool

AISTATS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao

CVPR 2023 GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds Zihui Zhang, Bo Yang, Bing Wang, Bo Li

NeurIPS 2023 IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

NeurIPSW 2023 Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

NeurIPS 2023 Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta

ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao

ICCV 2023 LRRU: Long-Short Range Recurrent Updating Networks for Depth Completion Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai

ICLRW 2023 Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

NeurIPS 2023 Large Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

AAAI 2023 Logic and Commonsense-Guided Temporal Knowledge Graph Completion Guanglin Niu, Bo Li

IJCAI 2023 Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents Tianze Wei, Bo Li, Minming Li

ICLR 2023 Measure the Predictive Heterogeneity Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui

AAAI 2023 Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang

CVPR 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich

ICLR 2023 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

NeurIPSW 2023 On the Tool Manipulation Capability of Open-Sourced Large Language Models Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang

NeurIPS 2023 Optimized Covariance Design for AB Test on Social Network Under Interference Qianyi Chen, Bo Li, Lu Deng, Yong Wang

CVPR 2023 PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification Guiwei Zhang, Yongfei Zhang, Tianyu Zhang, Bo Li, Shiliang Pu

CVPR 2023 Panoptic Video Scene Graph Generation Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

ICML 2023 Reconstructive Neuron Pruning for Backdoor Defense Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang

AAAI 2023 Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng

CVPR 2023 Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition Hanyang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou

AAAI 2023 Reviewing Labels: Label Graph Network with Top-K Prediction Set for Relation Extraction Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang

AAAI 2023 Sequence Generation with Label Augmentation for Relation Extraction Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang

ICLR 2023 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

ICML 2023 Stable Estimation of Heterogeneous Treatment Effects Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

CVPRW 2023 Strong Detector with Simple Tracker Zongheng Tang, Yulu Gao, Zizheng Xun, Fengguang Peng, Yifan Sun, Si Liu, Bo Li

CVPRW 2023 The Second Monocular Depth Estimation Challenge Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao

NeurIPSW 2023 Tree-Regularized Tabular Embeddings Xuan Li, Yun Wang, Bo Li

CVPR 2023 TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets Weixin Chen, Dawn Song, Bo Li

ICML 2023 UMD: Unsupervised Model Detection for X2X Backdoor Attacks Zhen Xiang, Zidi Xiong, Bo Li

ICMLW 2023 Visual-Based Policy Learning with Latent Language Encoding Jielin Qiu, Mengdi Xu, William Han, Bo Li, Ding Zhao

NeurIPS 2023 WordScape: A Pipeline to Extract Multilingual, Visually Rich Documents with Layout Annotations from Web Crawl Data Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang

JAIR 2023 Your College Dorm and Dormmates: Fair Resource Sharing with Externalities Jiarui Gan, Bo Li, Yingkai Li

ICML 2022 Adversarially Robust Models May Not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu, Jacky Y Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li

NeurIPS 2022 AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy

ECCV 2022 Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang

IJCAI 2022 Bayesian Auctions with Efficient Queries (Extended Abstract) Jing Chen, Bo Li, Yingkai Li, Pinyan Lu

NeurIPSW 2022 Benchmarking Robustness Under Distribution Shift of Multimodal Image-Text Models Jielin Qiu, Yi Zhu, Xingjian Shi, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

ICLR 2022 COPA: Certifying Robust Policies for Offline Reinforcement Learning Against Poisoning Attacks Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

ICLR 2022 CROP: Certifying Robust Policies for Reinforcement Learning Through Functional Smoothing Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

CoRL 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

ICML 2022 Certifying Out-of-Domain Generalization for Blackbox Functions Maurice G Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

NeurIPS 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li

NeurIPS 2022 CoPur: Certifiably Robust Collaborative Inference via Feature Purification Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li

ICML 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Steven Wu, Bo Li, Ding Zhao

ICML 2022 Counterfactual Prediction for Outcome-Oriented Treatments Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui

CVPR 2022 Cross Domain Object Detection by Target-Perceived Dual Branch Distillation Mengzhe He, Yali Wang, Jiaxi Wu, Yiru Wang, Hanqing Li, Bo Li, Weihao Gan, Wei Wu, Yu Qiao

NeurIPS 2022 DENSE: Data-Free One-Shot Federated Learning Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

NeurIPSW 2022 DensePure: Understanding Diffusion Models Towards Adversarial Robustness Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

CVPR 2022 Detecting Camouflaged Object in Frequency Domain Yijie Zhong, Bo Li, Lv Tang, Senyun Kuang, Shuang Wu, Shouhong Ding

NeurIPS 2022 Distributionally Robust Optimization with Data Geometry Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui

ICML 2022 Double Sampling Randomized Smoothing Linyi Li, Jiawei Zhang, Tao Xie, Bo Li

ECCV 2022 Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation Li Gao, Dong Nie, Bo Li, Xiaofeng Ren

CVPR 2022 Efficient Multi-View Stereo by Iterative Dynamic Cost Volume Shaoqian Wang, Bo Li, Yuchao Dai

CVPR 2022 Equalized Focal Loss for Dense Long-Tailed Object Detection Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

NeurIPS 2022 Exact Shape Correspondence via 2D Graph Convolution Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Ma Kaili, Bo Han, Bo Li, James Cheng

NeurIPS 2022 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro

NeurIPS 2022 Fairness in Federated Learning via Core-Stability Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta

ICML 2022 Federated Learning with Label Distribution Skew via Logits Calibration Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu

NeurIPS 2022 General Cutting Planes for Bound-Propagation-Based Neural Network Verification Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

NeurIPS 2022 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

MLHC 2022 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

CVPR 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li

ICML 2022 How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection Mantas Mazeika, Bo Li, David Forsyth

AAAI 2022 Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang

NeurIPS 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlaš, Ji Liu, Heng Guo, Ce Zhang, Bo Li

NeurIPSW 2022 Improving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li

ICML 2022 Instrumental Variable Regression with Confounder Balancing Anpeng Wu, Kun Kuang, Bo Li, Fei Wu

AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

NeurIPS 2022 LOT: Layer-Wise Orthogonal Training on Improving L2 Certified Robustness Xiaojun Xu, Linyi Li, Bo Li

WACV 2022 Multi-Branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions Sam Leroux, Bo Li, Pieter Simoens

ICLR 2022 On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

NeurIPSW 2022 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

NeurIPS 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

UAI 2022 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

CHIL 2022 PhysioMTL: Personalizing Physiological Patterns Using Optimal Transport Multi-Task Regression Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, Xuanlong Nguyen, Shirley You Ren

CVPR 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt

NeurIPS 2022 Product Ranking for Revenue Maximization with Multiple Purchases Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui

ICML 2022 Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao

NeurIPSW 2022 Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

NeurIPS 2022 SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li

ECCV 2022 SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li

WACV 2022 Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado J Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell

ECCV 2022 Shape Matters: Deformable Patch Attack Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding, Wenqiang Zhang

NeurIPSW 2022 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

ICML 2022 TPC: Transformation-Specific Smoothing for Point Cloud Models Wenda Chu, Linyi Li, Bo Li

CVPR 2022 Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection Jiaxi Wu, Jiaxin Chen, Mengzhe He, Yiru Wang, Bo Li, Bingqi Ma, Weihao Gan, Wei Wu, Yali Wang, Di Huang

CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu

CVPR 2022 Towards Practical Certifiable Patch Defense with Vision Transformer Zhaoyu Chen, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Wenqiang Zhang

ICML 2022 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang, Bo Li, Han Zhao

CVPR 2022 Unsupervised Learning of Accurate Siamese Tracking Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang

NeurIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li

NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang

AISTATS 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li

AISTATS 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian

NeurIPS 2021 Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li

NeurIPS 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma

ICML 2021 Approximate Group Fairness for Clustering Bo Li, Lijun Li, Ankang Sun, Chenhao Wang, Yingfan Wang

ICML 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang, Han Zhao, Bo Li

IJCAI 2021 Budget-Feasible Maximum Nash Social Welfare Is Almost Envy-Free Xiaowei Wu, Bo Li, Jiarui Gan

ICML 2021 CRFL: Certifiably Robust Federated Learning Against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

ICCV 2021 Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li

ICCV 2021 Disentangled High Quality Salient Object Detection Lv Tang, Bo Li, Yijie Zhong, Shouhong Ding, Mofei Song

ICLR 2021 Dual-Mode ASR: Unify and Improve Streaming ASR with Full-Context Modeling Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N Sainath, Yonghui Wu, Ruoming Pang

ICCV 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

ICML 2021 FILTRA: Rethinking Steerable CNN by Filter Transform Bo Li, Qili Wang, Gim Hee Lee

NeurIPS 2021 Fair Scheduling for Time-Dependent Resources Bo Li, Minming Li, Ruilong Zhang

NeurIPS 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl Gunter, Bo Li

ICML 2021 Heterogeneous Risk Minimization Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

ICLR 2021 InfoBERT: Improving Robustness of Language Models from an Information Theoretic Perspective Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

NeurIPS 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

ICML 2021 Knowledge Enhanced Machine Learning Pipeline Against Diverse Adversarial Attacks Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

IJCAI 2021 MG-DVD: A Real-Time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu

IJCAI 2021 Mechanism Design for Facility Location Problems: A Survey Hau Chan, Aris Filos-Ratsikas, Bo Li, Minming Li, Chenhao Wang

AAAI 2021 Multi-View Inference for Relation Extraction with Uncertain Knowledge Bo Li, Wei Ye, Canming Huang, Shikun Zhang

ICLR 2021 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma

ICML 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li

IJCAI 2021 Rescuing Deep Hashing from Dead Bits Problem Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang

CVPR 2021 Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song

AAAI 2021 Stable Adversarial Learning Under Distributional Shifts Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

NeurIPS 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. Rubinstein, Ce Zhang, Bo Li

JAIR 2021 Two-Facility Location Games with Minimum Distance Requirement Xinping Xu, Bo Li, Minming Li, Lingjie Duan

ICML 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang, Jacky Y Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li

CVPR 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian

AAAI 2021 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

ICML 2020 Adversarial Mutual Information for Text Generation Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li

NeurIPS 2020 Counterfactual Prediction for Bundle Treatment Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

ICLR 2020 DBA: Distributed Backdoor Attacks Against Federated Learning Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li

ICLR 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

AAAI 2020 Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives Haris Aziz, Hau Chan, Barton Lee, Bo Li, Toby Walsh

AAAI 2020 Frame-Guided Region-Aligned Representation for Video Person Re-Identification Zengqun Chen, Zhiheng Zhou, Junchu Huang, Pengyu Zhang, Bo Li

ICML 2020 Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj, Yoram Bresler, Bo Li

NeurIPS 2020 On Convergence of Nearest Neighbor Classifiers over Feature Transformations Luka Rimanic, Cedric Renggli, Bo Li, Ce Zhang

AAAI 2020 Reinforcement Learning with Perturbed Rewards Jingkang Wang, Yang Liu, Bo Li

AAAI 2020 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

ECCV 2020 Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants Bo Li, Evgeniy Martyushev, Gim Hee Lee

NeurIPS 2020 Robust Deep Reinforcement Learning Against Adversarial Perturbations on State Observations Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh

AAAI 2020 Rule-Guided Compositional Representation Learning on Knowledge Graphs Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

ECCV 2020 SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li

AAAI 2020 Single Camera Training for Person Re-Identification Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian

AAAI 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

ICLR 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane Boning, Cho-Jui Hsieh

ICLR 2020 Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, D. A. Forsyth

AAAI 2019 "Bilingual Expert" Can Find Translation Errors Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si

IJCAI 2019 Approximately Maximizing the Broker's Profit in a Two-Sided Market Jing Chen, Bo Li, Yingkai Li

ICLR 2019 Characterizing Audio Adversarial Examples Using Temporal Dependency Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song

AAAI 2019 Community Focusing: Yet Another Query-Dependent Community Detection Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng

IJCAI 2019 Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network Bo Li, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi

IJCAI 2019 Maximin-Aware Allocations of Indivisible Goods Hau Chan, Jing Chen, Bo Li, Xiaowei Wu

NeurIPS 2019 Multi-Source Domain Adaptation for Semantic Segmentation Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

ACML 2019 Nuclei Segmentation by Using Convolutional Network with Distance mAP and Contour Information Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao

ICML 2019 Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

IJCAI 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space Linyi Li, Zexuan Zhong, Bo Li, Tao Xie

IJCAI 2019 Strategyproof and Approximately Maxmin Fair Share Allocation of Chores Haris Aziz, Bo Li, Xiaowei Wu

AAAI 2019 SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection Bo Li, Zhengxing Sun, Yuqi Guo

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

AISTATS 2019 Towards Efficient Data Valuation Based on the Shapley Value Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos

AAAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai

IJCAI 2019 Weighted Maxmin Fair Share Allocation of Indivisible Chores Haris Aziz, Hau Chan, Bo Li

ECCV 2018 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song

ICLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey

ICLR 2018 Decision Boundary Analysis of Adversarial Examples Warren He, Bo Li, Dawn Song

ECCV 2018 Distractor-Aware Siamese Networks for Visual Object Tracking Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, Weiming Hu

IJCAI 2018 Dynamic Fair Division Problem with General Valuations Bo Li, Wenyang Li, Yingkai Li

IJCAI 2018 Generating Adversarial Examples with Adversarial Networks Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song

AAAI 2018 Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

ECCV 2018 Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song

ICLR 2018 Spatially Transformed Adversarial Examples Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

AAAI 2017 Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu

CVPR 2017 Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, Tian Xia

IJCAI 2017 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li

AAAI 2017 Treatment Effect Estimation with Data-Driven Variable Decomposition Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang

AAAI 2016 Behavioral Experiments in Email Filter Evasion Liyiming Ke, Bo Li, Yevgeniy Vorobeychik

NeurIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik

CVPR 2016 Recognizing Car Fluents from Video Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu

CVPR 2015 Depth and Surface Normal Estimation from Monocular Images Using Regression on Deep Features and Hierarchical CRFs Bo Li, Chunhua Shen, Yuchao Dai, Anton van den Hengel, Mingyi He

AISTATS 2015 Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings Bo Li, Yevgeniy Vorobeychik

NeurIPS 2014 Feature Cross-Substitution in Adversarial Classification Bo Li, Yevgeniy Vorobeychik

ECCV 2014 Integrating Context and Occlusion for Car Detection by Hierarchical And-or Model Bo Li, Tianfu Wu, Song-Chun Zhu

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

ICCV 2013 Modeling Occlusion by Discriminative AND-OR Structures Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu

ICCVW 2013 The Visual Object Tracking VOT2013 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu