Yishu Miao
Title
Cited by
Cited by
Year
Neural variational inference for text processing
Y Miao, L Yu, P Blunsom
ICML 2016, 2016
4342016
Language as a latent variable: Discrete generative models for sentence compression
Y Miao, P Blunsom
EMNLP 2016, 2016
1762016
Discovering discrete latent topics with neural variational inference
Y Miao, E Grefenstette, P Blunsom
ICML 2017, 2017
1372017
Latent intention dialogue models
TH Wen, Y Miao, P Blunsom, S Young
ICML 2017, 2017
1242017
Tag-aware personalized recommendation using a deep-semantic similarity model with negative sampling
Z Xu, C Chen, T Lukasiewicz, Y Miao, X Meng
CIKM 2016, 2016
562016
Selective Sensor Fusion for Neural Visual-Inertial Odometry
C Chen, S Rosa, Y Miao, C Xiaoxuan Lu, W Wu, A Markham, N Trigoni
CVPR 2019, 2019
472019
Memory Architectures in Recurrent Neural Network Language Models
D Yogatama, Y Miao, G Melis, W Ling, A Kuncoro, C Dyer, P Blunsom
ICLR 2018, 2018
452018
Tag-aware personalized recommendation using a hybrid deep model
Z Xu, T Lukasiewicz, C Chen, Y Miao, X Meng
IJCAI 2017, 2017
292017
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts
Z Hong, Y Petillot, D Lane, Y Miao, S Wang
ICCV 2019, 2861-2870, 2019
142019
MotionTransformer: Transferring Neural Inertial Tracking Between Domains
C Chen, Y Miao, CX Lu, L Xie, P Blunsom, A Markham, N Trigoni, ...
AAAI 2019, 2018
122018
Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation
Z Xu, D Yuan, T Lukasiewicz, C Chen, Y Miao, G Xu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
Learning with stochastic guidance for robot navigation
L Xie, Y Miao, S Wang, P Blunsom, Z Wang, C Chen, A Markham, ...
IEEE transactions on neural networks and learning systems 32 (1), 166-176, 2020
52020
Short text topic modeling with topic distribution quantization and negative sampling decoder
X Wu, C Li, Y Zhu, Y Miao
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
42020
Bayesian Optimisation for Machine Translation
Y Miao, Z Wang, P Blunsom
NIPS 2014 BayesOpt Workshop, 2014
42014
Learning with Stochastic Guidance for Navigation
L Xie, Y Miao, S Wang, P Blunsom, Z Wang, C Chen, A Markham, ...
arXiv preprint arXiv:1811.10756, 2018
32018
Discrete generative models for sentence compression
Y Miao, P Blunsom
Empirical Methods on Natural Language Processing (EMNLP), 2016
32016
Transferring physical motion between domains for neural inertial tracking
C Chen, Y Miao, CX Lu, P Blunsom, A Markham, N Trigoni
arXiv preprint arXiv:1810.02076, 2018
22018
Neural allocentric intuitive physics prediction from real videos
Z Wang, S Rosa, Y Miao, Z Lai, L Xie, A Markham, N Trigoni
arXiv preprint arXiv:1809.03330, 2018
22018
Deep generative models for natural language processing
Y Miao
University of Oxford, 2017
22017
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. arXiv e-prints, art
Y Miao, P Blunsom
arXiv preprint arXiv:1609.07317, 2016
22016
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