Hanxiao Liu
Hanxiao Liu
Senior Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
DARTS: Differentiable architecture search
H Liu, K Simonyan, Y Yang
International Conference on Learning Representations, ICLR 2019, 2018
18242018
Hierarchical representations for efficient architecture search
H Liu, K Simonyan, O Vinyals, C Fernando, K Kavukcuoglu
International Conference on Learning Representations, ICLR 2018, 2017
6022017
RACE: Large-scale reading comprehension dataset from examinations
G Lai, Q Xie, H Liu, Y Yang, E Hovy
Empirical Methods in Natural Language Processing, EMNLP 2017, 2017
5402017
Modeling long- and short-term temporal patterns with deep neural networks
G Lai, WC Chang, Y Yang, H Liu
International ACM SIGIR Conference on Research and Development in …, 2017
3932017
Gated-attention readers for text comprehension
B Dhingra*, H Liu*, Z Yang, WW Cohen, R Salakhutdinov
Annual Meeting of the Association for Computational Linguistics, ACL 2017, 2016
3672016
Analogical inference for multi-relational embeddings
H Liu, Y Wu, Y Yang
International Conference on Machine Learning, ICML 2017, 2017
2222017
Rethinking pre-training and self-training
B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, Q Le
Advances in Neural Information Processing Systems (NeurIPS), 2020
1242020
BigNAS: Scaling up neural architecture search with big single-stage models
J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ...
European Conference on Computer Vision (ECCV), 2020
692020
Concept graph learning from educational data
Y Yang, H Liu, J Carbonell, W Ma
International Conference on Web Search and Data Mining, WSDM 2015, 2015
682015
Can weight sharing outperform random architecture search? An investigation with TuNAS
G Bender, H Liu, B Chen, G Chu, S Cheng, PJ Kindermans, QV Le
Computer Vision and Pattern Recognition (CVPR), 2020
492020
Learning concept graphs from online educational data
H Liu, W Ma, Y Yang, J Carbonell
Journal of Artificial Intelligence Research (JAIR) 55, 1059-1090, 2016
442016
Neural predictor for neural architecture search
W Wen, H Liu, H Li, Y Chen, G Bender, PJ Kindermans
European Conference on Computer Vision (ECCV), 2020
382020
Adaptive smoothed online multi-task learning
K Murugesan*, H Liu*, J Carbonell, Y Yang
Advances in Neural Information Processing Systems, NIPS 2016, 2016
332016
A comparative study of word embeddings for reading comprehension
B Dhingra, H Liu, R Salakhutdinov, WW Cohen
arXiv preprint arXiv:1703.00993, 2017
322017
Pay Attention to MLPs
H Liu, Z Dai, QVL David, R. So
arXiv preprint arXiv:2105.08050, 2021
25*2021
Graph convolutional matrix completion for bipartite edge prediction
Y Wu, H Liu, Y Yang
International Conference on Knowledge Discovery and Information Retrieval, 49-58, 2018
242018
Cross-domain kernel induction for transfer learning
WC Chang, Y Wu, H Liu, Y Yang
Proceedings of the 31st AAAI Conference on Artificial Intelligence, AAAI …, 2017
222017
Bipartite edge prediction via transductive learning over product graphs
H Liu, Y Yang
International Conference on Machine Learning, ICML 2015, 2015
202015
Evolving normalization-activation layers
H Liu, A Brock, K Simonyan, QV Le
Advances in Neural Information Processing Systems (NeurIPS), 2020
192020
Transferable graph optimizers for ML compilers
Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ...
Advances in Neural Information Processing Systems (NeurIPS), 2020
19*2020
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