Yishu Miao

According to our database, Yishu Miao authored at least 34 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scene Text Recognition with Semantics.

Joshua Cesare Placidi, Yishu Miao, Zixu Wang, Lucia Specia

CoRR, 2022

Guiding Visual Question Generation.

Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Contrastive Video-Language Learning with Fine-grained Frame Sampling.

Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Logically Consistent Adversarial Attacks for Soft Theorem Provers.

Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Kubric: A scalable dataset generator.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning With Stochastic Guidance for Robot Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

IEEE Trans. Neural Networks Learn. Syst., 2021

Latent Variable Models for Visual Question Answering.

Zixu Wang, Yishu Miao, Lucia Specia

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Generative Framework for Simultaneous Machine Translation.

Yishu Miao, Phil Blunsom, Lucia Specia

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation.

Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Cross-Modal Generative Augmentation for Visual Question Answering.

Zixu Wang, Yishu Miao, Lucia Specia

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Discovering Topics in Long-tailed Corpora with Causal Intervention.

Xiaobao Wu, Chunping Li, Yishu Miao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision.

Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao

CoRR, 2020

Learning Multilingual Topics with Neural Variational Inference.

Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.

Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.

Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts.

Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry.

Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MotionTransformer: Transferring Neural Inertial Tracking between Domains.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning with Stochastic Guidance for Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

CoRR, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni

CoRR, 2018

Neural Allocentric Intuitive Physics Prediction from Real Videos.

Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni

CoRR, 2018

Memory Architectures in Recurrent Neural Network Language Models.

Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Deep generative models for natural language processing.

Yishu Miao

PhD thesis, 2017

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.

Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao

CoRR, 2017

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model.

Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Latent Intention Dialogue Models.

Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young

Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering Discrete Latent Topics with Neural Variational Inference.

Yishu Miao, Edward Grefenstette, Phil Blunsom

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Neural Variational Inference for Text Processing.

Yishu Miao, Lei Yu, Phil Blunsom

Proceedings of the 33nd International Conference on Machine Learning, 2016

Language as a Latent Variable: Discrete Generative Models for Sentence Compression.

Yishu Miao, Phil Blunsom

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.

Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

Bayesian Optimisation for Machine Translation.

Yishu Miao, Ziyu Wang, Phil Blunsom

CoRR, 2014

2013

Context-aware reasoning middle ware applied in the mobile environment.

Jian Wu, Chunping Li, Yishu Miao, Shaoxu Song, Li Li, Qiang Ding

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012

Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method.

Yishu Miao, Chunping Li, Hui Wang, Lu Zhang

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

Research on Mining Common Concern via Infinite Topic Modelling.

Yishu Miao, Chunping Li, Qiang Ding, Li Li

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012