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Books and Theses
- 2017
[b1]Yishu Miao:
Deep generative models for natural language processing. University of Oxford, UK, 2017
Journal Articles
- 2021
- [j1]Linhai Xie
, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 166-176 (2021)
Conference and Workshop Papers
- 2022
- [c25]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c24]Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia:
Logically Consistent Adversarial Attacks for Soft Theorem Provers. IJCAI 2022: 4129-4135 - [c23]Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia:
Contrastive Video-Language Learning with Fine-grained Frame Sampling. AACL/IJCNLP (1) 2022: 694-705 - [c22]Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia:
Guiding Visual Question Generation. NAACL-HLT 2022: 1640-1654 - 2021
- [c21]Xiaobao Wu, Chunping Li, Yishu Miao:
Discovering Topics in Long-tailed Corpora with Causal Intervention. ACL/IJCNLP (Findings) 2021: 175-185 - [c20]Zixu Wang, Yishu Miao, Lucia Specia:
Cross-Modal Generative Augmentation for Visual Question Answering. BMVC 2021: 433 - [c19]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL 2021: 3222-3233 - [c18]Yishu Miao, Phil Blunsom, Lucia Specia:
A Generative Framework for Simultaneous Machine Translation. EMNLP (1) 2021: 6697-6706 - [c17]Zixu Wang, Yishu Miao, Lucia Specia:
Latent Variable Models for Visual Question Answering. ICCVW 2021: 3137-3141 - 2020
- [c16]Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao:
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. EMNLP (1) 2020: 1772-1782 - [c15]Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP 2020: 3442-3446 - [c14]Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao:
Learning Multilingual Topics with Neural Variational Inference. NLPCC (1) 2020: 840-851 - 2019
- [c13]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI 2019: 8009-8016 - [c12]Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. CVPR 2019: 10542-10551 - [c11]Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang:
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. ICCV 2019: 2861-2870 - 2018
- [c10]Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom:
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) 2018 - 2017
- [c9]Yishu Miao, Edward Grefenstette, Phil Blunsom:
Discovering Discrete Latent Topics with Neural Variational Inference. ICML 2017: 2410-2419 - [c8]Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young:
Latent Intention Dialogue Models. ICML 2017: 3732-3741 - [c7]Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI 2017: 3196-3202 - 2016
- [c6]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. CIKM 2016: 1921-1924 - [c5]Yishu Miao, Phil Blunsom:
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. EMNLP 2016: 319-328 - [c4]Yishu Miao, Lei Yu, Phil Blunsom:
Neural Variational Inference for Text Processing. ICML 2016: 1727-1736 - 2013
- [c3]Jian Wu, Chunping Li, Yishu Miao, Shaoxu Song, Li Li, Qiang Ding:
Context-aware reasoning middle ware applied in the mobile environment. ICMLC 2013: 1829-1835 - 2012
- [c2]Yishu Miao, Chunping Li, Qiang Ding, Li Li:
Research on Mining Common Concern via Infinite Topic Modelling. Web Intelligence/IAT Workshops 2012: 180-184 - [c1]Yishu Miao, Chunping Li, Hui Wang, Lu Zhang:
Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method. KDIR 2012: 35-44
Informal and Other Publications
- 2022
- [i19]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i18]Alexander Gaskell, Yishu Miao, Lucia Specia, Francesca Toni:
Logically Consistent Adversarial Attacks for Soft Theorem Provers. CoRR abs/2205.00047 (2022) - [i17]Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia:
Contrastive Video-Language Learning with Fine-grained Frame Sampling. CoRR abs/2210.05039 (2022) - [i16]Joshua Cesare Placidi, Yishu Miao, Zixu Wang, Lucia Specia:
Scene Text Recognition with Semantics. CoRR abs/2210.10836 (2022) - 2021
- [i15]Zixu Wang, Yishu Miao, Lucia Specia:
Latent Variable Models for Visual Question Answering. CoRR abs/2101.06399 (2021) - [i14]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR abs/2102.11387 (2021) - [i13]Zixu Wang, Yishu Miao, Lucia Specia:
Cross-Modal Generative Augmentation for Visual Question Answering. CoRR abs/2105.04780 (2021) - [i12]Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia:
Guiding Visual Question Generation. CoRR abs/2110.08226 (2021) - 2020
- [i11]Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao:
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. CoRR abs/2011.09634 (2020) - 2019
- [i10]Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. CoRR abs/1903.01534 (2019) - 2018
- [i9]Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni:
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR abs/1809.03330 (2018) - [i8]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni:
Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR abs/1810.02076 (2018) - [i7]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning with Stochastic Guidance for Navigation. CoRR abs/1811.10756 (2018) - 2017
- [i6]Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young:
Latent Intention Dialogue Models. CoRR abs/1705.10229 (2017) - [i5]Yishu Miao, Edward Grefenstette, Phil Blunsom:
Discovering Discrete Latent Topics with Neural Variational Inference. CoRR abs/1706.00359 (2017) - [i4]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR abs/1708.03797 (2017) - 2016
- [i3]Yishu Miao, Phil Blunsom:
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. CoRR abs/1609.07317 (2016) - 2015
- [i2]Yishu Miao, Lei Yu, Phil Blunsom:
Neural Variational Inference for Text Processing. CoRR abs/1511.06038 (2015) - 2014
- [i1]Yishu Miao, Ziyu Wang, Phil Blunsom:
Bayesian Optimisation for Machine Translation. CoRR abs/1412.7180 (2014)
Coauthor Index
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