Yishu Miao

I'm the Co-founder & CEO of MO Intelligence.

I did my PhD with Prof. Phil Blunsom in the Machine Learning & NLP research group at University of Oxford.

During my PhD, I have been working on deep generative models, neural variational inference and the corresponding applications for NLP. Recently, I'm focusing on natural language grounding and machine learning in robotics.

Prior to Oxford, I did my master on Data Mining, working with Prof. Chunping Li at Tsinghua University.


Email: mail [-at-] ymiao.me

Work Experiences:

Research Intern at DeepMind. Mar - Aug, 2017

Research Intern at DeepMind. May - Oct, 2016

Professional Activities:

Workshop Organization: Learning to Generate Natural Language (LGNL) at Sydney Australia, ICML 2017.

Program Committee Member:

ICML 2019/2018, NIPS 2018/2017, ACL 2019/2018/2017/2016, ICLR 2018/2017, EMNLP 2018/2017/2016

Publications:

Selective Sensor Fusion for Neural Visual Inertial Odometry

Changhao Chen‚ Stefano Rosa‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Wei Wu‚ Andrew Markham and Niki Trigoni. CVPR 2019.


MotionTransformer: Transferring Neural Inertial Tracking Between Domains

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni. AAAI 2019.


Learning with Stochastic Guidance for Navigation

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni. NIPS workshop 2018.


Neural Allocentric Intuitive Physics Prediction from Real Videos

Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni. NIPS workshop 2018.


Memory Architectures in Recurrent Neural Network Language Models.

Dani Yogatama, Yishu Miao, Gabor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer and Phil Blunsom. ICLR 2018.


Discovering Discrete Latent Topics with Neural Variational Inference.

Yishu Miao‚ Edward Grefenstette and Phil Blunsom. ICML 2017.


Latent Intention Dialogue Models.

Tsung−Hsien Wen*Yishu Miao*‚ Phil Blunsom and Steve J. Young (*equal contribution). ICML 2017.


Tag−Aware Personalized Recommendation Using a Hybrid Deep Model.

Zhenghua Xu‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Xiangwu Meng. IJCAI 2017.


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

Yishu Miao and Phil Blunsom. EMNLP 2016.


Neural Variational Inference for Text Processing.

Yishu Miao‚ Lei Yu and Phil Blunsom. ICML 2016.


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

Zhenghua Xu‚ Cheng Chen‚ Thomas Lukasiewicz‚ Yishu Miao and Xiangwu Meng. CIKM 2016.


Neural Variational Inference for Text Processing.

Yishu Miao‚ Lei Yu and Phil Blunsom. Workshop Track, ICLR 2016.


Bayesian Optimisation for Machine Translation.

Yishu Miao‚ Ziyu Wang and Phil Blunsom. Bayesian Optimisation Workshop‚ NIPS 2014.


Context−aware Reasoning Middleware Applied in the Mobile Environment.

Jian Wu‚ Chunping Li‚ Yishu Miao‚ Shaoxu Song‚ Li Li and Qiang Ding. ICMLC 2013.


Research on Mining Common Concern via Infinite Topic Modelling

Yishu Miao‚ Chunping Li‚ Qiang Ding and Li Li. ODMWI workshop‚ WI/IAT 2012.


Infinite Topic Modelling for Trend Tracking.

Yishu Miao‚ Chunping Li‚ Hui Wang and Lu Zhang. KDIR 2012.