About Me

I am currently a fourth year Ph.D. student under the supervision of Prof. John C.S. Lui, in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. I am a member of Advanced Networking and System Research Laboratory (ANSRLab) in CUHK. I received my B.E. degree in computer science from School of Computer Science and Technology at University of Science and Technology of China in 2013.

Research interests: Social networks (e.g., information diffusion models and applications), Graph algorithms

My CV is here/这里.

Publications

Conference

• Yishi Lin, Wei Chen, John C.S. Lui. Boosting Information Spread: An Algorithmic Approach. Accepted for publication in the IEEE International Conference on Data Engineering (ICDE), 2017. [paper] [full tech report] [slides] [poster]
  
• 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, 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]

Teaching Experiences

• 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)

Last Updated: 2017/06/07