Hanxiao Liu
Hanxiao Liu
Research Scientist, Google Brain
Verified email at google.com - Homepage
Cited by
Cited by
DARTS: Differentiable architecture search
H Liu, K Simonyan, Y Yang
International Conference on Learning Representations, ICLR 2019, 2018
Hierarchical representations for efficient architecture search
H Liu, K Simonyan, O Vinyals, C Fernando, K Kavukcuoglu
International Conference on Learning Representations, ICLR 2018, 2017
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
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
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
Analogical inference for multi-relational embeddings
H Liu, Y Wu, Y Yang
International Conference on Machine Learning, ICML 2017, 2017
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
Adaptive smoothed online multi-task learning
K Murugesan*, H Liu*, J Carbonell, Y Yang
Advances in Neural Information Processing Systems, NIPS 2016, 2016
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
A comparative study of word embeddings for reading comprehension
B Dhingra, H Liu, R Salakhutdinov, WW Cohen
arXiv preprint arXiv:1703.00993, 2017
Bipartite edge prediction via transductive learning over product graphs
H Liu, Y Yang
International Conference on Machine Learning, ICML 2015, 2015
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
Cross-lingual text classification via model translation with limited dictionaries
R Xu, Y Yang, H Liu, A Hsi
International Conference on Information and Knowledge Management, CIKM 2016 …, 2016
Graph convolutional matrix completion for bipartite edge prediction
Y Wu, H Liu, Y Yang
KDIR, 49-58, 2018
Cross-graph learning of multi-relational associations
H Liu, Y Yang
International Conference on Machine Learning, ICML 2016, 2016
Learning graph convolution filters from data manifold
G Lai, H Liu, Y Yang
arXiv preprint arXiv:1710.11577, 2017
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, ...
arXiv preprint arXiv:2003.11142, 2020
MnasFPN: Learning latency-aware pyramid architecture for object detection on mobile devices
B Chen, G Ghiasi, H Liu, TY Lin, D Kalenichenko, H Adams, QV Le
arXiv preprint arXiv:1912.01106, 2019
GDP: Generalized device placement for dataflow graphs
Y Zhou, S Roy, A Abdolrashidi, D Wong, PC Ma, Q Xu, M Zhong, H Liu, ...
arXiv preprint arXiv:1910.01578, 2019
Semi-supervised learning with adaptive spectral transform
H Liu, Y Yang
International Conference on AI and Statistics, AISTATS 2016, 2016
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