Hongyuan Mei

发表

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Jason Eisner, Hongyuan Mei, Jason Eisner, 2016, NIPS.

LSTM-RNN MULTI-LEVEL ALIGNER DECODERENCODER Aligner LSTM-RNN LSTM-RNN LSTM-RNN go forward two segments to the end of the hall E World State Action Sequence Instruction

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2015 .

Accurate Vision-based Localization by Transferring Between Ground and Satellite Images

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2015 .

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

Hongyuan Mei, X. Shi, Siqiao Xue, 2022, NeurIPS.

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Hongyuan Mei, C. Qu, X. Shi, 2022, ArXiv.

Transformer Embeddings of Irregularly Spaced Events and Their Participants

Jason Eisner, Hongyuan Mei, Chenghao Yang, 2021, ICLR.

Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning

Qing Qu, Hongyuan Mei, Ankita Pasad, 2022, EMNLP.

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters

Hao Tan, Hongyuan Mei, Hongyu Zhao, 2022, EMNLP.

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Hongyuan Mei, C. Qu, X. Shi, 2022, AAAI.

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification pdf

Jason Eisner, Hongyuan Mei, Minjie Xu, 2020, ICML.

Noise-Contrastive Estimation for Multivariate Point Processes pdf

Jason Eisner, Hongyuan Mei, Tom Wan, 2020, NeurIPS.

Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Approach for Optimizing Clinical Decisions with Timing

Hongyuan Mei, Yanxun Xu, S. Zohar, 2021, Bayesian Analysis.

Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Joint Model for Optimizing Clinical Decisions with Timing

Hongyuan Mei, Yanxun Xu, S. Zohar, 2020, 2007.04155.

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences pdf

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2015, AAAI.

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Hongyuan Mei, Mo Yu, Jing Li, 2023, ArXiv.

Coherent Dialogue with Attention-Based Language Models

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2016, AAAI.

Explicit Planning Helps Language Models in Logical Reasoning

Hongyuan Mei, Mo Yu, Kangrui Wang, 2023, ArXiv.

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment pdf

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2015, NAACL.

Imputing Missing Events in Continuous-Time Event Streams pdf

Jason Eisner, Hongyuan Mei, Guanghui Qin, 2019, ICML.

On the Idiosyncrasies of the Mandarin Chinese Classifier System

Ryan Cotterell, Shijia Liu, Adina Williams, 2019, NAACL.

Accurate Vision-based Vehicle Localization using Satellite Imagery pdf

Matthew R. Walter, Mohit Bansal, Hongyuan Mei, 2015, ArXiv.

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Hongyuan Mei, Chenhao Tan, James Y. Zhang, 2023, 2305.16646.

Statler: State-Maintaining Language Models for Embodied Reasoning

Matthew R. Walter, Huanyu Zhang, Hongyuan Mei, 2023, ArXiv.

Autoregressive Modeling with Lookahead Attention

Jason Eisner, Hongyuan Mei, Li Du, 2023, ArXiv.

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

P. Xu, Hongyuan Mei, D. Xiu, 2023, ArXiv.

Continuous-Time Decision Transformer for Healthcare Applications

Hongyuan Mei, Yanxun Xu, Zhiyue Zhang, 2023, AISTATS.

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Hongyuan Mei, Chenhao Tan, James Y. Zhang, 2023, NeurIPS.

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Jason Eisner, Hongyuan Mei, 2017 .

EasyTPP: Towards Open Benchmarking the Temporal Point Processes

Hongyuan Mei, Fan Zhou, X. Shi, 2023, ArXiv.

Explicit Planning Helps Language Models in Logical Reasoning

Hongyuan Mei, Mo Yu, Kangrui Wang, 2023, EMNLP.

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Hongyuan Mei, Fan Zhou, X. Shi, 2023, 2307.08097.

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models

Hongyuan Mei, Jiading Fang, Xiaochen Zhou, 2024, ArXiv.

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Hongyuan Mei, Jason Eisner, 2016, NIPS.