Di He
Di He
Unknown affiliation
Verified email at pku.edu.cn
TitleCited byYear
Dual learning for machine translation
D He, Y Xia, T Qin, L Wang, N Yu, TY Liu, WY Ma
Advances in neural information processing systems, 820-828, 2016
3222016
A theoretical analysis of NDCG ranking measures
Y Wang, L Wang, Y Li, D He, W Chen, TY Liu
Proceedings of the 26th Annual Conference on Learning Theory (COLT 2013) 8, 6, 2013
242*2013
Frage: Frequency-agnostic word representation
C Gong, D He, X Tan, T Qin, L Wang, TY Liu
Advances in Neural Information Processing Systems, 1334-1345, 2018
442018
A game-theoretic machine learning approach for revenue maximization in sponsored search
D He, W Chen, L Wang, TY Liu
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
372013
Towards binary-valued gates for robust lstm training
Z Li, D He, F Tian, W Chen, T Qin, L Wang, TY Liu
ICML 2018, 2018
242018
Layer-wise coordination between encoder and decoder for neural machine translation
T He, X Tan, Y Xia, D He, T Qin, Z Chen, TY Liu
Advances in Neural Information Processing Systems, 7944-7954, 2018
232018
Decoding with value networks for neural machine translation
D He, H Lu, Y Xia, T Qin, L Wang, TY Liu
Advances in Neural Information Processing Systems, 178-187, 2017
222017
Non-autoregressive neural machine translation with enhanced decoder input
J Guo, X Tan, D He, T Qin, L Xu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3723-3730, 2019
172019
Non-autoregressive machine translation with auxiliary regularization
Y Wang, F Tian, D He, T Qin, CX Zhai, TY Liu
AAAI 2019, 2019
152019
Adversarially robust generalization just requires more unlabeled data
R Zhai, T Cai, D He, C Dan, K He, J Hopcroft, L Wang
arXiv preprint arXiv:1906.00555, 2019
122019
Generalized second price auction with probabilistic broad match
W Chen, D He, TY Liu, T Qin, Y Tao, L Wang
Proceedings of the fifteenth ACM conference on Economics and Computation, 39-56, 2014
112014
Online learning for auction mechanism in bandit setting
D He, W Chen, L Wang, TY Liu
Decision Support Systems 56, 379-386, 2013
102013
Towards a deep and unified understanding of deep neural models in NLP
C Guan, X Wang, Q Zhang, R Chen, D He, X Xie
International Conference on Machine Learning, 2454-2463, 2019
72019
Hint-based training for non-autoregressive translation
Z Li, D He, F Tian, T Qin, L Wang, TY Liu
7*2018
A gram-gauss-newton method learning overparameterized deep neural networks for regression problems
T Cai, R Gao, J Hou, S Chen, D Wang, D He, Z Zhang, L Wang
arXiv preprint arXiv:1905.11675, 2019
62019
Understanding and improving transformer from a multi-particle dynamic system point of view
Y Lu, Z Li, D He, Z Sun, B Dong, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1906.02762, 2019
32019
Efficient training of bert by progressively stacking
L Gong, D He, Z Li, T Qin, L Wang, T Liu
International Conference on Machine Learning, 2337-2346, 2019
32019
Sentence-wise smooth regularization for sequence to sequence learning
C Gong, X Tan, D He, T Qin
AAAI 2019, 2018
32018
Fast Structured Decoding for Sequence Models
Z Sun, Z Li, H Wang, D He, Z Lin, Z Deng
Advances in Neural Information Processing Systems, 3011-3020, 2019
22019
Representation degeneration problem in training natural language generation models
J Gao, D He, X Tan, T Qin, L Wang, T Liu
ICLR 2019, 2018
22018
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