Joey Tianyi Zhou's Home

Joey Tianyi Zhou is a senior research engineer with SONY US Research Center (USRC) and doing research on deep reinforcement learning which is going to be applied to Autonomous vehicles project.  
 His research interests include computer vision and machine learning. He received his Ph.D degree under the supervision from Prof. Ivor W. Tsang and Prof. Ho Shen-shyang, School of Computer Engineering, Nanyang Technological University (NTU), Singapore in 2015. He also worked with Prof. Sinno Jialin Pan. He got the Bachelor Degree in Mathematics from Hunan University (HNU), Changsha, China, in 2011. 

Email:    joey.tianyi.zhou AT. {}

Google Scholar                 

I am co-organizing the ACML Workshop on Learning on Big Data which will be in conjunction with ACML 2016 in in the University of Waikato, Hamilton, New Zealand, November 16, 2016. We look forward to your submission and attendance!!


Machine Learning: 

  • Deep Learning
  • Reinforcement Learning
  • Transfer/Multi-Task Learning
  • Heterogeneous Feature Representation
  • Sentiment Analysis
Computer Vision:
  • Facial Expression Analysis
  • Multi-object Recognition
  • Modeling Users' Like
  • Personality analysis based on Images


  • Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu, `` Simple and Efficient Learning using Privileged Information",  in the BeyoundLabler workshop  of of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16 Workshop Best Paper Award), NYC, USA, 2016.
  • Joey Tianyi Zhou, Xinxing Xu, Sinno J. Pan, Ivor W. Tsang, Zheng Qin, and Rick Siow Mong Goh. ``Transfer Hashing with Privileged Information,"  in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16, Oral), NYC, USA, 2016.
  • Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan and Mingkui Tan. ``Heterogeneous Domain Adaptation for Multiple Classes," in Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS-14), JMLR: W\&CP, pp, 1095-1103, Volume 33. Reykjavik, Iceland, Apr. 22-25, 2014.
  • Joey Tianyi Zhou, Sinno J. Pan, Qi Mao and Ivor W. Tsang. ``Multi-view Positive and Unlabeled Learning," in Proceedings of the 4th Asian Conference on Machine Learning, (ACML-12, Best Poster Honourable Mention, Oral), Singapore, November 4-6, 2012. JMLR: W\&CP, pp, 555-570, Volume 25.


  • Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, and Mingkui Tan, ``Multi-class Heterogeneous Domain Adaptation," Journal of Machine Learning Research (JMLR), Provisional Accept.
  • Joey Tianyi Zhou, Sinno Jialin Pan, and Ivor W. Tsang,  ``A Deep Learning Framework for Hybrid Heterogeneous Transfer Learning," Artificial Intelligence  (AIJ), in revision.

 Industrial Projects

  • Individualization-Features-Big Data Supported Interactive Evolutionary Computation and Its Application (Key Program of NRF, China, Co-PI)

    • This project aims at improving the performance of interactive evolutionary computation by transferring solutions that have similar features as the current user from individualized feature big data, and by actively mining the high-value solutions, to establish necessary foundation for further study the theory of collective-based intelligent optimization and to apply the theoretic results to personalized education and improve the learning efficiency. 

 Professional Service

  • Reviewers: NIPS 2015-2016, Pattern Recognition Letters, Image and Vision Computing Journal.  
  • Program CommitteeIJCAI 2015, AAAI 2017
  • Program co-Chair: ACML 2016 Workshop on Learning on Big Data 
  • Operating Systems: Mac OS, Linux, Windows
  • Programming: C++/C; Matlab; Python, SQL, Latex. 
  • Language: Chinese, English. 

  • 2016 BeyondLabeler workshop on IJCAI: Best Paper Award
  • 2012 ACML Best Poster Award Honorable Mention
  • 2012 ACM/ICPC 5th in  Jakarta as the team coach
  • 2011 NTU Research Scholarship
  • 2010 Meritorious Winner in 2010 Mathematical Contest in Modeling (MCM)
  • 2009 Outstanding Students Awards of Hunan University (Awarded to Top 1\% students)
  • Video games (NBA 2K Sports, PES)
  • Travelling 
  • Basketball and Swimming

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