Hongyuan Mei
Hongyuan Mei
Johns Hopkins University, Toyota Technology Institute at Chicago, The University of Chicago
Verified email at cs.jhu.edu - Homepage
Title
Cited by
Cited by
Year
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
H Mei, J Eisner
arXiv, 2016
2802016
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
H Mei, M Bansal, MR Walter
NAACL, 2016
2342016
Listen, attend, and walk: Neural mapping of navigational instructions to action sequences
H Mei, M Bansal, MR Walter
AAAI, 2016
1802016
Coherent Dialogue with Attention-based Language Models
H Mei, M Bansal, MR Walter
AAAI, 2017
892017
Imputing missing events in continuous-time event streams
H Mei, G Qin, J Eisner
International Conference on Machine Learning, 4475-4485, 2019
102019
Accurate Vision-based Vehicle Localization using Satellite Imagery
H Chu, H Mei, M Bansal, MR Walter
NIPS 2015 Transfer and Multi-Task Learning workshop, 2015
72015
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
32020
Noise-contrastive estimation for multivariate point processes
H Mei, T Wan, J Eisner
arXiv preprint arXiv:2011.00717, 2020
32020
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction
H Mei, S Zhang, K Duh, B Van Durme
arXiv preprint arXiv:1805.08271, 2018
32018
On the idiosyncrasies of the Mandarin Chinese classifier system
S Liu, H Mei, A Williams, R Cotterell
arXiv preprint arXiv:1902.10193, 2019
22019
Informed Temporal Modeling via Logical Specification of Factorial LSTMs
H Mei, G Qin, M Xu, J Eisner
2019
Inference of unobserved event streams with neural Hawkes particle smoothing
H Mei, G Qin, J Eisner
2018
Accurate Vision-based Localization by Transferring Between Ground and Satellite Images
H Chu, H Mei, M Bansal, MR Walter
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Articles 1–13