Li, Yuxin

11 publications

ICLR 2026 Lean4Physics: Comprehensive Reasoning Framework for College-Level Physics in Lean4 Yuxin Li, Minghao Liu, Ruida Wang, Ji WenZhao, Zhitao He, Rui Pan, Junming Huang, Tong Zhang, Yi R. Fung

MIDL 2026 Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang, Xin Guo, Limei Han, Yuxin Li, Fengping Zhu, Yuan Cheng

CVPR 2025 Boost the Inference with Co-Training: A Depth-Guided Mutual Learning Framework for Semi-Supervised Medical Polyp Segmentation Yuxin Li, Zihao Zhu, Yuxiang Zhang, Yifan Chen, Zhibin Yu

ICLR 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

ICML 2025 MA-LoT: Model-Collaboration Lean-Based Long Chain-of-Thought Reasoning Enhances Formal Theorem Proving Ruida Wang, Rui Pan, Yuxin Li, Jipeng Zhang, Yizhen Jia, Shizhe Diao, Renjie Pi, Junjie Hu, Tong Zhang

ICML 2025 OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-Class Anomaly Detection via Adversarial Distillation Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou

ICLR 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao

ICLR 2024 Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, Baolin Sun, Mingyuan Zhou

ICML 2024 Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection Yuxin Li, Yaoxuan Feng, Bo Chen, Wenchao Chen, Yubiao Wang, Xinyue Hu, Baolin Sun, Chunhui Qu, Mingyuan Zhou

ICLR 2023 Delving into Semantic Scale Imbalance Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

ICML 2023 Prototype-Oriented Unsupervised Anomaly Detection for Multivariate Time Series Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou