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Hongyuan Mei
Hongyuan Mei
Google DeepMind, TTIC, JHU, UChicago
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
H Mei, J Eisner
arXiv, 2016
9092016
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
H Mei, M Bansal, MR Walter
NAACL, 2016
3472016
Listen, attend, and walk: Neural mapping of navigational instructions to action sequences
H Mei, M Bansal, MR Walter
AAAI, 2016
3022016
Coherent Dialogue with Attention-based Language Models
H Mei, M Bansal, MR Walter
AAAI, 2017
1242017
Transformer embeddings of irregularly spaced events and their participants
C Yang, H Mei, J Eisner
arXiv preprint arXiv:2201.00044, 2021
982021
Hypothesis generation with large language models
Y Zhou, H Liu, T Srivastava, H Mei, C Tan
arXiv preprint arXiv:2404.04326, 2024
972024
Language models can improve event prediction by few-shot abductive reasoning
X Shi, S Xue, K Wang, F Zhou, J Zhang, J Zhou, C Tan, H Mei
Advances in Neural Information Processing Systems 36, 29532-29557, 2023
902023
Imputing missing events in continuous-time event streams
H Mei, G Qin, J Eisner
International Conference on Machine Learning, 4475-4485, 2019
692019
Easytpp: Towards open benchmarking temporal point processes
S Xue, X Shi, Z Chu, Y Wang, H Hao, F Zhou, C Jiang, C Pan, JY Zhang, ...
arXiv preprint arXiv:2307.08097, 2023
672023
Hypro: A hybridly normalized probabilistic model for long-horizon prediction of event sequences
S Xue, X Shi, J Zhang, H Mei
Advances in Neural Information Processing Systems 35, 34641-34650, 2022
582022
Statler: State-maintaining language models for embodied reasoning
T Yoneda, J Fang, P Li, H Zhang, T Jiang, S Lin, B Picker, D Yunis, H Mei, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 15083 …, 2024
572024
Can large language models play text games well? current state-of-the-art and open questions
CF Tsai, X Zhou, SS Liu, J Li, M Yu, H Mei
arXiv preprint arXiv:2304.02868, 2023
502023
Robustness of learning from task instructions
J Gu, H Zhao, H Xu, L Nie, H Mei, W Yin
Findings of the association for computational linguistics: ACL 2023, 13935-13948, 2023
392023
Personalized dynamic treatment regimes in continuous time: a bayesian approach for optimizing clinical decisions with timing
W Hua, H Mei, S Zohar, M Giral, Y Xu
Bayesian Analysis 17 (3), 849-878, 2022
342022
Noise-contrastive estimation for multivariate point processes
H Mei, T Wan, J Eisner
Advances in neural information processing systems 33, 5204-5214, 2020
312020
Neural Datalog through time: Informed temporal modeling via logical specification
H Mei, G Qin, M Xu, J Eisner
International Conference on Machine Learning, 6808-6819, 2020
282020
Continuous-time decision transformer for healthcare applications
Z Zhang, H Mei, Y Xu
International conference on artificial intelligence and statistics, 6245-6262, 2023
272023
Tiny-attention adapter: Contexts are more important than the number of parameters
H Zhao, H Tan, H Mei
arXiv preprint arXiv:2211.01979, 2022
262022
Weaverbird: Empowering financial decision-making with large language model, knowledge base, and search engine
S Xue, F Zhou, Y Xu, M Jin, Q Wen, H Hao, Q Dai, C Jiang, H Zhao, S Xie, ...
arXiv preprint arXiv:2308.05361, 2023
222023
Hidden state variability of pretrained language models can guide computation reduction for transfer learning
S Xie, J Qiu, A Pasad, L Du, Q Qu, H Mei
arXiv preprint arXiv:2210.10041, 2022
222022
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Articles 1–20