Accurate Vision-based Vehicle Localization using Satellite Imagery. - Hang Chu; Hongyuan Mei; Mohit Bansal; Matthew R. Walter (CoRR, 2015)

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

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. - Hongyuan Mei; Mohit Bansal; Matthew R. Walter (HLT-NAACL, 2016)

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

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. - Hongyuan Mei; Jason Eisner (NIPS, 2017)

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. - Hongyuan Mei; Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

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

On the Idiosyncrasies of the Mandarin Chinese Classifier System. - Shijia Liu; Hongyuan Mei; Adina Williams; Ryan Cotterell (NAACL-HLT (1), 2019)

A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children. - Jie Shan; Hongyuan Mei (ICEBT, 2020)

Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns. - Shuo Chen; Hongyuan Mei (ICIEI, 2020)

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

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

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 (EMNLP (Findings), 2022)

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. - Hongyu Zhao 006; Hao Tan; Hongyuan Mei (EMNLP, 2022)

Transformer Embeddings of Irregularly Spaced Events and Their Participants. - Hongyuan Mei; Chenghao Yang 001; Jason Eisner (ICLR, 2022)

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. - Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Hongyuan Mei (NeurIPS, 2022)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Chao Qu; Xiaoyu Tan; Siqiao Xue; Xiaoming Shi 001; James Zhang; Hongyuan Mei (AAAI, 2023)

Robustness of Learning from Task Instructions. - Jiasheng Gu; Hongyu Zhao 006; Hanzi Xu; Liangyu Nie; Hongyuan Mei; Wenpeng Yin 001 (ACL (Findings), 2023)

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

Explicit Planning Helps Language Models in Logical Reasoning. - Hongyu Zhao 006; Kangrui Wang; Mo Yu; Hongyuan Mei (EMNLP, 2023)

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. - Xiaoming Shi 001; Siqiao Xue; Kangrui Wang; Fan Zhou 012; James Y. Zhang; Jun Zhou 011; Chenhao Tan; Hongyuan Mei (NeurIPS, 2023)

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. - Chen-Feng Tsai; Xiaochen Zhou; Sierra S. Liu; Jing Li; Mo Yu; Hongyuan Mei (CoRR, 2023)

Autoregressive Modeling with Lookahead Attention. - Li Du; Hongyuan Mei; Jason Eisner (CoRR, 2023)

EasyTPP: Towards Open Benchmarking the Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Fan Zhou 012; Hongyan Hao; Caigao Jiang; Chen Pan; Yi Xu; James Y. Zhang; Qingsong Wen; Jun Zhou 011; et al. (CoRR, 2023)

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. - Siqiao Xue; Fan Zhou 012; Yi Xu; Hongyu Zhao 006; Shuo Xie; Qingyang Dai; Caigao Jiang; James Y. Zhang; Jun Zhou 011; Dacheng Xiu; Hongyuan Mei (CoRR, 2023)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Siqiao Xue; James Y. Zhang; Jun Zhou 011; Hongyuan Mei; Weitao Lin; Zi Zhuang; Wenxin Ning; Yunhua Hu (AAAI, 2024)

EasyTPP: Towards Open Benchmarking Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Hongyan Hao; Fan Zhou 012; Caigao Jiang; Chen Pan; James Y. Zhang; Qingsong Wen; Jun Zhou 011; Hongyuan Mei (ICLR, 2024)

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 (ICRA, 2024)

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 (IROS, 2024)

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. - Peng Ding; Jiading Fang; Peng Li; Kangrui Wang; Xiaochen Zhou; Mo Yu; Jing Li; Matthew R. Walter; Hongyuan Mei (CoRR, 2024)

Hypothesis Generation with Large Language Models. - Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei; Chenhao Tan (CoRR, 2024)

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. - Siqiao Xue; Tingting Chen; Fan Zhou 012; Qingyang Dai; Zhixuan Chu; Hongyuan Mei (CoRR, 2024)

Effects of Virtual Healing Space on Restoration in a Space Station Environment. - Xiangyu Zhang; Hongyuan Mei (HCI (12), 2025)

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 (NAACL (Findings), 2025)

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