Yishi Lin

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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.

Interests

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

Publications

Conference

  • 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]
    kdd19fates
  • 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]
    icde17boosting
  • 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]
    asonam15dynamic
  • 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]
    performance15analyzing
  • 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]
    ssdbm14product
  • 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]
    sitis13modeling

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

  • 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

  • Fundamentals of Machine Learning (Spring, 2016)
  • Introduction to Network Science (Spring, 2016)
  • Fundamentals of Machine Learning (Spring, 2015)
  • Problem Solving by Programming (Fall, 2014)
  • Engineering Math III (Spring, 2014)
  • Problem Solving by Programming (Fall, 2013)

Professional Services

  • Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Network Science and Engineering, IEEE/ACM Transactions on Networking, Social Network Analysis and Mining, IEEE Transactions on Information Theory

Last Updated: 2019/08

  • Table of Contents
  • Overview
Yishi Lin

Yishi Lin

24 posts
11 categories
25 tags
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GitHub E-Mail
  1. 1. Interests
  2. 2. Publications
    1. 2.1. Conference
    2. 2.2. Journal
    3. 2.3. Manuscript
  3. 3. Experience
    1. 3.1. Internship
    2. 3.2. Teaching Assistant
  4. 4. Professional Services
© 2013 – 2019 Yishi Lin
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