Li, Zihao

31 publications

NeurIPS 2025 CLIMB: Class-Imbalanced Learning Benchmark on Tabular Data Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025 Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu

TMLR 2025 Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He

AAAI 2025 Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du

ICML 2025 Learnable Spatial-Temporal Positional Encoding for Link Prediction Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He

ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

NeurIPS 2025 Transformer Copilot: Learning from the Mistake Log in LLM Fine-Tuning Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

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

NeurIPSW 2024 ChemDFM: A Large Language Foundation Model for Chemistry Zihan Zhao, Da Ma, Lu Chen, Liangtai Sun, Zihao Li, Yi Xia, Hongshen Xu, Zichen Zhu, Su Zhu, Shuai Fan, Guodong Shen, Kai Yu, Xin Chen

NeurIPS 2024 Global Convergence in Training Large-Scale Transformers Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan

ICML 2024 Meta-Reinforcement Learning Robust to Distributional Shift via Performing Lifelong In-Context Learning Tengye Xu, Zihao Li, Qinyuan Ren

NeurIPS 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor in Context Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang

NeurIPS 2024 PageRank Bandits for Link Prediction Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

AISTATS 2024 Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis Zihao Li, Xiang Ji, Minshuo Chen, Mengdi Wang

CVPRW 2024 ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation Yipin Guo, Zihao Li, Yilin Lang, Qinyuan Ren

ICML 2024 Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei

JMLR 2023 Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang

AAAI 2023 Fair Division with Prioritized Agents Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao

AAAI 2023 Fully Online Matching with Stochastic Arrivals and Departures Zihao Li, Hao Wang, Zhenzhen Yan

CVPRW 2023 M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran Wang

ICML 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang

ICMLW 2023 Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism Zihao Li, Zhuoran Yang, Mengdi Wang

ICMLW 2023 Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism Zihao Li

AAAI 2023 Trusted Fine-Grained Image Classification Through Hierarchical Evidence Fusion Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li

IJCAI 2023 Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao

UAI 2022 Proportional Allocation of Indivisible Resources Under Ordinal and Uncertain Preferences. Zihao Li, Xiaohui Bei, Zhenzhen Yan

ICML 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss Jiali Wang, He Chen, Rujun Jiang, Xudong Li, Zihao Li

ICCVW 2021 VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang

ICCV 2021 WB-DETR: Transformer-Based Detector Without Backbone Fanfan Liu, Haoran Wei, Wenzhe Zhao, Guozhen Li, Jingquan Peng, Zihao Li

AAAI 2020 Fair Division of Mixed Divisible and Indivisible Goods Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu