Hongyuan Mei
20 papers · 2016–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (51) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(3)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Deep Learning
(9)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(6)
Natural Language Processing
(5)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Learning Paradigms
(4)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Applications
(2)
Keywords
event sequence
(4)
continuous time
(3)
neural hawkes process
(3)
language model
(3)
pre-trained language model
(2)
transfer learning
(2)
large language model
(2)
temporal point process
(2)
time series
(2)
event prediction
(2)
few-shot learning
(2)
multivariate point process
(2)
parameter-efficient learning
(1)
task generalization
(1)
model adaptation
(1)
instruction following
(1)
temporal modeling
(1)
sequence modeling
(1)
prompt engineering
(1)
bellman equation
(1)
Papers
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
NAACL 2025
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
AAAI 2024
Hypothesis Generation with Large Language Models
EMNLP 2024
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
Continuous-Time Decision Transformer for Healthcare Applications
AISTATS 2023
Explicit Planning Helps Language Models in Logical Reasoning
EMNLP 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
NeurIPS 2023
Robustness of Learning from Task Instructions
ACL 2023
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
EMNLP 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
NeurIPS 2022
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters
EMNLP 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants
ICLR 2022
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
ICML 2020
Noise-Contrastive Estimation for Multivariate Point Processes
NeurIPS 2020
Imputing Missing Events in Continuous-Time Event Streams
ICML 2019
On the Idiosyncrasies of the Mandarin Chinese Classifier System
NAACL 2019
Proceedings of the Third Workshop on Representation Learning for NLP
ACL 2018
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
NeurIPS 2017
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
NAACL 2016