Joey Tianyi Zhou 's Home

Joey Tianyi Zhou is a scientist with Institute of High Performance Computing and currently leading the AI research team with 20+ members. He was a senior research engineer with SONY US Research Center (USRC) and doing the project on the self-driving system.  
 His research interests include computer vision and machine learning. He received his Ph.D degree under the supervision of Prof. Ivor W. Tsang and Prof. Ho Shen-shyang, School of Computer Engineering, Nanyang Technological University (NTU), Singapore in 2015. He got the Bachelor Degree in Mathematics from Hunan University (HNU), Changsha, China, in 2011. 

Email:    joey.tianyi.zhou AT. {}

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 Working Experience

  • Institut of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore.
    • Scientist II (2018-present)
    • Scientist I (2017-2018)

  • Sony US Research Center, San Jose, USA.
    • Senior Research Engineer (2016-2017)


  • Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin and Rick Siow-Mong Goh, "Transfer Hashing: From Shallow To Deep", Transaction on Neural Network and Learning Systems (TNNLS).

  • Nan Hu, Jinghui Zhong, Joey Tianyi Zhou, Suiping Zhou, Wentong Cai, Christopher Monterola "Guide them through: An automatic crowd control framework using multi-objective genetic programming", Applied Soft Computing (ASC), Vol. 66, pp.90-103 2018.

  • Joey Tianyi Zhou, Jiawei Du , Kai Di, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh, "SC2Net: Sparse LSTMs for Sparse Coding", The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), (Oral), New Orleans, 2018.  [Codes]
  • Joey Tianyi Zhou,  Ivor Tsang,  Sinno Jialin Pan, Zheng Qin, Rick Goh, "An End-to-end Sparse Coding", Presented at the ICML 2017 Workshop on Principled Approaches to Deep Learning, Sydney, Australia, 2017. [Codes]
  • Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong, "MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information" in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, USA, 2017.
  • 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," arxiv.
  • Joey Tianyi Zhou, Sinno Jialin Pan, and Ivor W. Tsang,  ``A Deep Learning Framework for Hybrid Heterogeneous Transfer Learning," arxiv.

  • 2017 NIPS Best Reviewer
  • 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)
  • Reviewers: ICML 2018, NIPS 2015-2017, Pattern Recognition Letters, Image and Vision Computing Journal.  
  • Program CommitteeIJCAI 2015-2018, AAAI 2017-2018
  • 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. 


  • Video games (NBA 2K Sports, PES)
  • Travelling 
  • Basketball and Swimming

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