Hongyuan Mei

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Point Processes

Action Sequences

Logical Reasoning

Top Venues

Publications

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR (2024)
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
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR (2024)
Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. CoRR (2024)
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan
Hypothesis Generation with Large Language Models. CoRR (2024)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. CoRR (2024)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA (2024)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. AAAI (2024)
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS (2023)
Zhiyue Zhang, Hongyuan Mei, Yanxun Xu
Continuous-Time Decision Transformer for Healthcare Applications. AISTATS (2023)
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
Explicit Planning Helps Language Models in Logical Reasoning. CoRR (2023)
Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. CoRR (2023)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI (2023)
Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR (2023)
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
Explicit Planning Helps Language Models in Logical Reasoning. EMNLP (2023)
Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin
Robustness of Learning from Task Instructions. ACL (Findings) (2023)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR (2023)
Li Du, Hongyuan Mei, Jason Eisner
Autoregressive Modeling with Lookahead Attention. CoRR (2023)
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR (2023)
Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. CoRR (2023)
Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. EMNLP (Findings) (2022)
Hongyu Zhao, Hao Tan, Hongyuan Mei
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. CoRR (2022)
Hongyuan Mei, Chenghao Yang, Jason Eisner
Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR (2022)
Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. CoRR (2022)
Chenghao Yang, Hongyuan Mei, Jason Eisner
Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR (2022)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR (2022)
Hongyu Zhao, Hao Tan, Hongyuan Mei
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. EMNLP (2022)
Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR (2022)
Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS (2022)
Shuo Chen, Hongyuan Mei
Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns. ICIEI (2020)
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML (2020)
Hongyuan Mei, Tom Wan, Jason Eisner
Noise-Contrastive Estimation for Multivariate Point Processes. CoRR (2020)
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR (2020)
Jie Shan, Hongyuan Mei
A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children. ICEBT (2020)
Hongyuan Mei, Tom Wan, Jason Eisner
Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS (2020)
Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell
On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL-HLT (1) (2019)
Hongyuan Mei, Guanghui Qin, Jason Eisner
Imputing Missing Events in Continuous-Time Event Streams. CoRR (2019)
Hongyuan Mei, Guanghui Qin, Jason Eisner
Imputing Missing Events in Continuous-Time Event Streams. ICML (2019)
Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell
On the Idiosyncrasies of the Mandarin Chinese Classifier System. CoRR (2019)
Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR (2018)
Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT (2018)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Coherent Dialogue with Attention-Based Language Models. AAAI (2017)
Hongyuan Mei, Jason Eisner
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. NIPS (2017)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. HLT-NAACL (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Coherent Dialogue with Attention-based Language Models. CoRR (2016)
Hongyuan Mei, Jason Eisner
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. CoRR (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. AAAI (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. CoRR (2015)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. CoRR (2015)
Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Accurate Vision-based Vehicle Localization using Satellite Imagery. CoRR (2015)