Hongyuan Mei
20 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8) π Cross-Pollinator (6)
πΊοΈ
Taxonomy Completionist
(52)
π
Conference Polyglot
(8)
π
Academic Marathon
(9)
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(87)
β‘
Prolific Year
(5)
π
Century Club
(20)
π₯
Unstoppable
(5)
π
Trend Setter
β
The Questioner
Conferences
EMNLP (4)
NIPS (4)
NAACL (3)
AAAI (2)
ACL (2)
ICLR (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
language model
(3)
continuous time
(3)
pretrained language model
(2)
transfer learning
(2)
event sequence
(2)
multivariate point process
(2)
few-shot learning
(2)
neural hawkes process
(2)
event prediction
(2)
large language model
(2)
logical reasoning
(1)
parameter-efficient learning
(1)
parameter efficient
(1)
time series
(1)
task generalization
(1)
parameter estimation
(1)
offline reinforcement learning
(1)
model adaptation
(1)
model-based reinforcement learning
(1)
instruction following
(1)
Papers
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
NAACL 2025
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
AAAI 2024
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
Hypothesis Generation with Large Language Models
EMNLP 2024
Robustness of Learning from Task Instructions
ACL 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
NIPS 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 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
NIPS 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
NIPS 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
NIPS 2017
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
NAACL 2016