| 2026 | ACL | Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science. | Sifan Wu, Huan Zhang, Yizhan Li, Farshid Effaty, Hongyuan Mei, Amirreza Ataei, Bang Liu |
| 2025 | HCI | Effects of Virtual Healing Space on Restoration in a Space Station Environment. | Xiangyu Zhang, Hongyuan Mei |
| 2025 | NAACL | CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions. | Mourad Heddaya, Kyle MacMillan, Hongyuan Mei, Chenhao Tan, Anup Malani |
| 2024 | AAAI | 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 |
| 2024 | ICLR | 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 |
| 2024 | IROS | Transcrib3D: 3D Referring Expression Resolution through Large Language Models. | Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter |
| 2024 | ICRA | Statler: State-Maintaining Language Models for Embodied Reasoning. | Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter |
| 2023 | AAAI | Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. | Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei |
| 2023 | ACL | Robustness of Learning from Task Instructions. | Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin |
| 2023 | AISTATS | Continuous-Time Decision Transformer for Healthcare Applications. | Zhiyue Zhang, Hongyuan Mei, Yanxun Xu |
| 2023 | EMNLP | Explicit Planning Helps Language Models in Logical Reasoning. | Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei |
| 2022 | EMNLP | Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. | Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei |
| 2022 | EMNLP | Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. | Hongyu Zhao, Hao Tan, Hongyuan Mei |
| 2022 | ICLR | Transformer Embeddings of Irregularly Spaced Events and Their Participants. | Hongyuan Mei, Chenghao Yang, Jason Eisner |
| 2020 | ICML | Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. | Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner |
| 2019 | ICML | Imputing Missing Events in Continuous-Time Event Streams. | Hongyuan Mei, Guanghui Qin, Jason Eisner |
| 2019 | NAACL | On the Idiosyncrasies of the Mandarin Chinese Classifier System. | Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell |
| 2017 | AAAI | Coherent Dialogue with Attention-Based Language Models. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2016 | AAAI | Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2016 | NAACL | What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |