Li, Yixuan

111 publications

ICLR 2026 Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear Programming Jiajun Li, Yixuan Li, Ran Hou, Yu Ding, Shisi Guan, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Zhiyuan Liu, Wanyuan Wang

TMLR 2026 How Well Can Preference Optimization Generalize Under Noisy Feedback? Shawn Im, Yixuan Li

AAAI 2025 AI-Generated Image Quality Assessment in Visual Communication Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong

CoRL 2025 CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks Yixuan Li, Yutang Lin, Jieming Cui, Tengyu Liu, Wei Liang, Yixin Zhu, Siyuan Huang

ICLR 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

ICLRW 2025 Can Your Uncertainty Scores Detect Hallucinated Entity? Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

TMLR 2025 CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra

ICLR 2025 DaWin: Training-Free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

NeurIPS 2025 Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning Xingjian Ran, Yixuan Li, Linning Xu, Mulin Yu, Bo Dai

AAAI 2025 Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang

TMLR 2025 Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

TMLR 2025 HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

ICML 2025 How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li

ICLRW 2025 How to Steer LLM Latents for Hallucination Detection? Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

ICML 2025 Improving LLM Video Understanding with 16 Frames per Second Yixuan Li, Changli Tang, Jimin Zhuang, Yudong Yang, Guangzhi Sun, Wei Li, Zejun Ma, Chao Zhang

NeurIPS 2025 Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs Zherui Yang, Zhehao Li, Kangbo Lyu, Yixuan Li, Tao Du, Ligang Liu

ICCV 2025 Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation Ziyu Zhu, Xilin Wang, Yixuan Li, Zhuofan Zhang, Xiaojian Ma, Yixin Chen, Baoxiong Jia, Wei Liang, Qian Yu, Zhidong Deng, Siyuan Huang, Qing Li

ICCV 2025 Multi-Identity Human Image Animation with Structural Video Diffusion Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Yuwei Guo, Dahua Lin, Tianfan Xue, Bo Dai

ICCV 2025 ObjectGS: Object-Aware Scene Reconstruction and Scene Understanding via Gaussian Splatting Ruijie Zhu, Mulin Yu, Linning Xu, Lihan Jiang, Yixuan Li, Tianzhu Zhang, Jiangmiao Pang, Bo Dai

AAAI 2025 Online Prompt Selection for Program Synthesis Yixuan Li, Lewis Frampton, Federico Mora, Elizabeth Polgreen

TMLR 2025 Out-of-Distribution Learning with Human Feedback Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li

ICML 2025 Position: Challenges and Future Directions of Data-Centric AI Alignment Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li

ICLR 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing Feng Tian, Yixuan Li, Yichao Yan, Shanyan Guan, Yanhao Ge, Xiaokang Yang

CVPRW 2025 Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians Yixuan Li, Xingjian Ran, Linning Xu, Tao Lu, Mulin Yu, Zhenzhi Wang, Yuanbo Xiangli, Dahua Lin, Bo Dai

ICLR 2025 Process Reward Model with Q-Value Rankings Wendi Li, Yixuan Li

ICML 2025 Steer LLM Latents for Hallucination Detection Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

ICML 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

ICLRW 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

ICML 2025 Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang, Yixuan Li, Hongxin Wei

ICML 2025 Video-SALMONN-O1: Reasoning-Enhanced Audio-Visual Large Language Model Guangzhi Sun, Yudong Yang, Jimin Zhuang, Changli Tang, Yixuan Li, Wei Li, Zejun Ma, Chao Zhang

ICLR 2025 Your Weak LLM Is Secretly a Strong Teacher for Alignment Leitian Tao, Yixuan Li

TMLR 2024 A Survey on Out-of-Distribution Detection in NLP Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li

ICLR 2024 ARGS: Alignment as Reward-Guided Search Maxim Khanov, Jirayu Burapacheep, Yixuan Li

NeurIPSW 2024 Adapting Foundation Models via Training-Free Dynamic Weight Interpolation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

ICMLW 2024 Adaptive Concept Bottleneck for Foundation Models Jihye Choi, Jayaram Raghuram, Yixuan Li, Suman Banerjee, Somesh Jha

NeurIPS 2024 Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare Hanwei Zhu, Haoning Wu, Yixuan Li, Zicheng Zhang, Baoliang Chen, Lingyu Zhu, Yuming Fang, Guangtao Zhai, Weisi Lin, Shiqi Wang

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

NeurIPS 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang, Yixuan Li

ICLR 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang

ICLR 2024 HYPO: Hyperspherical Out-of-Distribution Generalization Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

NeurIPS 2024 HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection Xuefeng Du, Chaowei Xiao, Yixuan Li

ICLR 2024 How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li

AAAI 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

NeurIPS 2024 HumanVid: Demystifying Training Data for Camera-Controllable Human Image Animation Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo, Wenran Liu, Jing Tan, Kai Chen, Tianfan Xue, Bo Dai, Dahua Lin

NeurIPS 2024 InterControl: Zero-Shot Human Interaction Generation by Controlling Every Joint Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai

NeurIPS 2024 Is a Picture Worth a Thousand Words? Delving into Spatial Reasoning for Vision Language Models Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

JMLR 2024 On the Learnability of Out-of-Distribution Detection Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CVPR 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai

ICML 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning Hyeong Kyu Choi, Yixuan Li

NeurIPSW 2024 Safety-Aware Fine-Tuning of Large Language Models Hyeong Kyu Choi, Xuefeng Du, Yixuan Li

CVPR 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang

ICML 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models Yifei Ming, Yixuan Li

ICML 2024 Understanding the Learning Dynamics of Alignment with Human Feedback Shawn Im, Yixuan Li

ICLRW 2024 Unsolvable Problem Detection for Vision Language Models Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

ICML 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du, Yiyou Sun, Yixuan Li

TMLR 2024 Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep, Yixuan Li

CVPR 2023 3D-Aware Face Swapping Yixuan Li, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang

NeurIPS 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun, Zhenmei Shi, Yixuan Li

ICCV 2023 BEVPlace: Learning LiDAR-Based Place Recognition Using Bird's Eye View Images Lun Luo, Shuhang Zheng, Yixuan Li, Yongzhi Fan, Beinan Yu, Si-Yuan Cao, Junwei Li, Hui-Liang Shen

AAAI 2023 Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal, Yixuan Li

NeurIPS 2023 Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li

ICML 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li

ICLR 2023 How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

NeurIPS 2023 Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han

ICCV 2023 MatrixCity: A Large-Scale City Dataset for City-Scale Neural Rendering and Beyond Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai

ICML 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

TMLR 2023 Noise-Robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang

ICLR 2023 Non-Parametric Outlier Synthesis Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li

TMLR 2023 OpenCon: Open-World Contrastive Learning Yiyou Sun, Yixuan Li

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

WACV 2023 Out-of-Distribution Detection via Frequency-Regularized Generative Models Mu Cai, Yixuan Li

CVPR 2023 Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu

WACV 2023 Task Agnostic and Post-Hoc Unseen Distribution Detection Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi

ICML 2023 When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li

TMLR 2022 A Unified Survey on Anomaly, Novelty, Open-Set, and Out Of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

ICMLW 2022 Are Vision Transformers Robust to Spurious Correlations ? Soumya Suvra Ghosal, Yifei Ming, Yixuan Li

ECCV 2022 DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun, Yixuan Li

NeurIPS 2022 Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li

NeurIPS 2022 Is Out-of-Distribution Detection Learnable? Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

ICML 2022 Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

AAAI 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection Yifei Ming, Hang Yin, Yixuan Li

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

ICML 2022 Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li

ICML 2022 POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming, Ying Fan, Yixuan Li

ICLR 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

AAAI 2022 Provable Guarantees for Understanding Out-of-Distribution Detection Peyman Morteza, Yixuan Li

NeurIPS 2022 SIREN: Shaping Representations for Detecting Out-of-Distribution Objects Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li

NeurIPS 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao

ICML 2022 Training OOD Detectors in Their Natural Habitats Julian Katz-Samuels, Julia B Nakhleh, Robert Nowak, Yixuan Li

CVPR 2022 Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li

ICLR 2022 VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li

ECML-PKDD 2021 ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

NeurIPS 2021 Can Multi-Label Classification Networks Know What They Don’t Know? Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li

ICCV 2021 Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang

CVPR 2021 MOOD: Multi-Level Out-of-Distribution Detection Ziqian Lin, Sreya Dutta Roy, Yixuan Li

CVPR 2021 MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space Rui Huang, Yixuan Li

ICLR 2021 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel, Albert Gu, Yixuan Li, Christopher Re

ICCV 2021 MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang

NeurIPS 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang, Andrew Geng, Yixuan Li

NeurIPS 2021 ReAct: Out-of-Distribution Detection with Rectified Activations Yiyou Sun, Chuan Guo, Yixuan Li

ECCV 2020 Actions as Moving Points Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu

NeurIPS 2020 Energy-Based Out-of-Distribution Detection Weitang Liu, Xiaoyun Wang, John Owens, Yixuan Li

NeurIPS 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning Meng Zhou, Ziyu Liu, Pengwei Sui, Yixuan Li, Yuk Ying Chung

CVPR 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

ICLR 2018 Enhancing the Reliability of Out-of-Distribution Image Detection in Neural Networks Shiyu Liang, Yixuan Li, R. Srikant

ECCV 2018 Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ICML 2018 Understanding the Loss Surface of Neural Networks for Binary Classification Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant

ICLR 2017 Snapshot Ensembles: Train 1, Get M for Free Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger

CVPR 2017 Stacked Generative Adversarial Networks Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie

ICLR 2016 Convergent Learning: Do Different Neural Networks Learn the Same Representations? Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft