About Me

I am a researcher at Tencent. I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong, under the supervision of Prof. John C.S. Lui. I was a member of Advanced Networking and System Research Laboratory (ANSRLab) in CUHK. Before that, I received my B.E. degree in computer science from School of Computer Science and Technology at University of Science and Technology of China.

During my spare time, I contribute to the open source project Pass for iOS.

I am always open to new opportunities, especially those where one can do some interesting research, works no more than 5.25 days per week, and in Shenzhen.

Interests

  • Causal inference, Social network analysis, User behavior modeling
  • Googling Stackoverflow
  • Coffee, HBO TV

Selected Publications

Conference

  • Ye Li, Hong Xie, Yishi Lin, John C.S. Lui. To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks. IEEE International Conference on Data Mining (ICDM), 2019. [paper]
  • Byeongjin Choe, Yishi Lin, Sungsu Lim, John C.S. Lui, Kyomin Jung. Efficient spread-size approximation of opinion spreading in general social networks. Physical Review E, 2019. [paper]
  • Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin. Fates of Microscopic Social Ecosystems: Keep Alive or Dead?. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. [paper]
  • Yishi Lin, Wei Chen, John C.S. Lui. Boosting Information Spread: An Algorithmic Approach. IEEE International Conference on Data Engineering (ICDE), 2017. [paper] [full tech report] [slides] [poster] [codes]
  • Yishi Lin, Xiaowei Chen, John C.S. Lui. I/O Efficient Algorithms for Exact Distance Queries on Disk-Resident Dynamic Graphs. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015. (AR: 18%) [paper] [slides]
  • Yishi Lin, John C.S. Lui. Analyzing Competitive Influence Maximization Problems with Partial Information: An Approximation Algorithmic Framework. IFIP W.G. 7.3. Performance Conference, 2015 (also accepted in the Journal of Performance Evaluation). [paper] [slides]
  • Silei Xu, Yishi Lin, Hong Xie, John C.S. Lui. A Provable Algorithmic Approach to Product Selection Problems for Market Entry and Sustainability. The 26th International Conference on Scientific and Statistical Database Management (SSDBM), 2014. [paper]
  • Yishi Lin, John C.S. Lui, Kyomin Jung, Sungsu Lim. Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. The 2nd Workshop on Complex Networks and their Applications, 2013. [paper] [slides]

Journal

  • Yishi Lin, Wei Chen, John C.S. Lui. Boosting Information Spread: An Algorithmic Approach. IEEE Transactions on Computational Social Systems, 2018. [paper]
  • Yishi Lin, John C.S. Lui, Kyomin Jung, Sungsu Lim. Modelling Multi-state Diffusion Process in Complex Networks: Theory and Applications. Journal of Complex Networks, 2(4), 431-459, 2014. [paper]

Manuscript

  • Ye Li, Yishi Lin, Hong Xie, John C.S. Lui. Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. 2020. [arXiv]
  • Yishi Lin, John C.S. Lui. Where & Who Should You Advertise? Influence Maximization for Two-Layer Networks. [paper]

Experience

Internship

  • Research Internship, Microsoft Rsearch Asia, July - September 2015

Teaching Assistant

Professional Services

Last Updated: 2020/05