Yishu Miao

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 41

Top Topics

Variational Inference

Language Learning

Latent Variable Models

Top Venues

Publications

Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia
Contrastive Video-Language Learning with Fine-grained Frame Sampling. CoRR (2022)
Alexander Gaskell, Yishu Miao, Lucia Specia, Francesca Toni
Logically Consistent Adversarial Attacks for Soft Theorem Provers. CoRR (2022)
Joshua Cesare Placidi, Yishu Miao, Zixu Wang, Lucia Specia
Scene Text Recognition with Semantics. CoRR (2022)
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)
Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia
Guiding Visual Question Generation. NAACL-HLT (2022)
Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia
Contrastive Video-Language Learning with Fine-grained Frame Sampling. AACL/IJCNLP (1) (2022)
Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia
Logically Consistent Adversarial Attacks for Soft Theorem Provers. IJCAI (2022)
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 (2022)
Zixu Wang, Yishu Miao, Lucia Specia
Cross-Modal Generative Augmentation for Visual Question Answering. BMVC (2021)
Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL (2021)
Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR (2021)
Zixu Wang, Yishu Miao, Lucia Specia
Latent Variable Models for Visual Question Answering. CoRR (2021)
Xiaobao Wu, Chunping Li, Yishu Miao
Discovering Topics in Long-tailed Corpora with Causal Intervention. ACL/IJCNLP (Findings) (2021)
Yishu Miao, Phil Blunsom, Lucia Specia
A Generative Framework for Simultaneous Machine Translation. EMNLP (1) (2021)
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) (2021)
Zixu Wang, Yishu Miao, Lucia Specia
Latent Variable Models for Visual Question Answering. ICCVW (2021)
Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia
Guiding Visual Question Generation. CoRR (2021)
Zixu Wang, Yishu Miao, Lucia Specia
Cross-Modal Generative Augmentation for Visual Question Answering. CoRR (2021)
Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. CoRR (2020)
Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. EMNLP (1) (2020)
Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP (2020)
Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao
Learning Multilingual Topics with Neural Variational Inference. NLPCC (1) (2020)
Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. ICCV (2019)
Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
Selective Sensor Fusion for Neural Visual-Inertial Odometry. CoRR (2019)
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI (2019)
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)
Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni
Learning with Stochastic Guidance for Navigation. CoRR (2018)
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)
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni
Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR (2018)
Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR (2018)
Yishu Miao, Edward Grefenstette, Phil Blunsom
Discovering Discrete Latent Topics with Neural Variational Inference. CoRR (2017)
Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR (2017)
Yishu Miao, Edward Grefenstette, Phil Blunsom
Discovering Discrete Latent Topics with Neural Variational Inference. ICML (2017)
Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI (2017)
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
Latent Intention Dialogue Models. ICML (2017)
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
Latent Intention Dialogue Models. CoRR (2017)
Yishu Miao, Phil Blunsom
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. EMNLP (2016)
Yishu Miao, Lei Yu, Phil Blunsom
Neural Variational Inference for Text Processing. ICML (2016)
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)
Yishu Miao, Phil Blunsom
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. CoRR (2016)
Yishu Miao, Lei Yu, Phil Blunsom
Neural Variational Inference for Text Processing. CoRR (2015)
Yishu Miao, Ziyu Wang, Phil Blunsom
Bayesian Optimisation for Machine Translation. CoRR (2014)
Jian Wu, Chunping Li, Yishu Miao, Shaoxu Song, Li Li, Qiang Ding
Context-aware reasoning middle ware applied in the mobile environment. ICMLC (2013)
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)
Yishu Miao, Chunping Li, Qiang Ding, Li Li
Research on Mining Common Concern via Infinite Topic Modelling. Web Intelligence/IAT Workshops (2012)