Mei, Hongyuan

18 publications

ICLR 2026 $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang

ICLR 2026 Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng

ICLR 2026 FlowRL: Matching Reward Distributions for LLM Reasoning Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

ICLR 2026 Generalization of RLVR Using Causal Reasoning as a Testbed Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei

NeurIPS 2025 Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Simeng Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy

ICLR 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

AAAI 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

AISTATS 2023 Continuous-Time Decision Transformer for Healthcare Applications Zhiyue Zhang, Hongyuan Mei, Yanxun Xu

NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

NeurIPS 2022 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

ICLR 2022 Transformer Embeddings of Irregularly Spaced Events and Their Participants Hongyuan Mei, Chenghao Yang, Jason Eisner

ICML 2020 Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner

NeurIPS 2020 Noise-Contrastive Estimation for Multivariate Point Processes Hongyuan Mei, Tom Wan, Jason Eisner

ICML 2019 Imputing Missing Events in Continuous-Time Event Streams Hongyuan Mei, Guanghui Qin, Jason Eisner

AAAI 2017 Coherent Dialogue with Attention-Based Language Models Hongyuan Mei, Mohit Bansal, Matthew R. Walter

NeurIPS 2017 The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process Hongyuan Mei, Jason M Eisner

AAAI 2016 Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei, Mohit Bansal, Matthew R. Walter