Research on Mining Common Concern via Infinite Topic Modelling. - Yishu Miao; Chunping Li; Qiang Ding; Li Li 102 (Web Intelligence/IAT Workshops, 2012)

Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method. - Yishu Miao; Chunping Li; Hui Wang 001; Lu Zhang (KDIR, 2012)

Context-aware reasoning middle ware applied in the mobile environment. - Jian Wu; Chunping Li; Yishu Miao; Shaoxu Song; Li Li 102; Qiang Ding (ICMLC, 2013)

Bayesian Optimisation for Machine Translation. - Yishu Miao; Ziyu Wang 001; Phil Blunsom (CoRR, 2014)

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao; Xiangwu Meng (CIKM, 2016)

Language as a Latent Variable: Discrete Generative Models for Sentence Compression. - Yishu Miao; Phil Blunsom (EMNLP, 2016)

Neural Variational Inference for Text Processing. - Yishu Miao; Lei Yu 008; Phil Blunsom (ICML, 2016)

Discovering Discrete Latent Topics with Neural Variational Inference. - Yishu Miao; Edward Grefenstette; Phil Blunsom (ICML, 2017)

Latent Intention Dialogue Models. - Tsung-Hsien Wen; Yishu Miao; Phil Blunsom; Steve J. Young (ICML, 2017)

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. - Zhenghua Xu 001; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Xiangwu Meng (IJCAI, 2017)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao (CoRR, 2017)

Deep generative models for natural language processing. - Yishu Miao (2017)

Memory Architectures in Recurrent Neural Network Language Models. - Dani Yogatama; Yishu Miao; Gábor Melis; Wang Ling; Adhiguna Kuncoro; Chris Dyer; Phil Blunsom (ICLR (Poster), 2018)

Neural Allocentric Intuitive Physics Prediction from Real Videos. - Zhihua Wang 005; Stefano Rosa; Yishu Miao; Zihang Lai; Linhai Xie; 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)

Learning with Stochastic Guidance for Navigation. - Linhai Xie; Yishu Miao; Sen Wang 002; Phil Blunsom; Zhihua Wang 005; Changhao Chen; Andrew Markham; Niki Trigoni (CoRR, 2018)

MotionTransformer: Transferring Neural Inertial Tracking between Domains. - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Linhai Xie; Phil Blunsom; Andrew Markham; Niki Trigoni (AAAI, 2019)

Selective Sensor Fusion for Neural Visual-Inertial Odometry. - Changhao Chen; Stefano Rosa; Yishu Miao; Chris Xiaoxuan Lu; Wei Wu; Andrew Markham; Niki Trigoni (CVPR, 2019)

TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. - Ziyang Hong; Yvan R. Petillot; David Lane; Yishu Miao; Sen Wang 002 (ICCV, 2019)

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. - Xiaobao Wu; Chunping Li; Yan Zhu 007; Yishu Miao (EMNLP (1), 2020)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Di Yuan; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Guizhi Xu (ICASSP, 2020)

Learning Multilingual Topics with Neural Variational Inference. - Xiaobao Wu; Chunping Li; Yan Zhu 007; Yishu Miao (NLPCC (1), 2020)

Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. - Yujie Zhong; Linhai Xie; Sen Wang 002; Lucia Specia; Yishu Miao (CoRR, 2020)

Discovering Topics in Long-tailed Corpora with Causal Intervention. - Xiaobao Wu; Chunping Li; Yishu Miao (ACL/IJCNLP (Findings), 2021)

Cross-Modal Generative Augmentation for Visual Question Answering. - Zixu Wang; Yishu Miao; Lucia Specia (BMVC, 2021)

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. - Julia Ive; Andy Mingren Li; Yishu Miao; Ozan Caglayan; Pranava Madhyastha; Lucia Specia (EACL, 2021)

A Generative Framework for Simultaneous Machine Translation. - Yishu Miao; Phil Blunsom; Lucia Specia (EMNLP (1), 2021)

Latent Variable Models for Visual Question Answering. - Zixu Wang; Yishu Miao; Lucia Specia (ICCVW, 2021)

Learning With Stochastic Guidance for Robot Navigation. - Linhai Xie; Yishu Miao; Sen Wang 002; Phil Blunsom; Zhihua Wang 005; Changhao Chen; Andrew Markham; Niki Trigoni (IEEE Trans. Neural Networks Learn. Syst., 2021)

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; et al. (CVPR, 2022)

Logically Consistent Adversarial Attacks for Soft Theorem Provers. - Alexander Gaskell; Yishu Miao; Francesca Toni; Lucia Specia (IJCAI, 2022)

Contrastive Video-Language Learning with Fine-grained Frame Sampling. - Zixu Wang; Yujie Zhong; Yishu Miao; Lin Ma 002; Lucia Specia (AACL/IJCNLP (1), 2022)

Guiding Visual Question Generation. - Nihir Vedd; Zixu Wang; Marek Rei; Yishu Miao; Lucia Specia (NAACL-HLT, 2022)

Scene Text Recognition with Semantics. - Joshua Cesare Placidi; Yishu Miao; Zixu Wang; Lucia Specia (CoRR, 2022)