Kechao CAI

Kechao CAI's Photo

Ph.D Candidate
Room 120, HSH Eng. Bldg.
Shatin, N.T, Hong Kong
E-Mail: kccai ÁT cse . cuhk . edu . hk

Dept. of Comp. Sci. & Eng.
The Chinese University of Hong Kong

About

I am currently a Ph.D. student in Department of Computer Science and Engineering at The Chinese University of Hong Kong. My supervisor is Prof. John C.S. Lui. I received the bachelor's degree and master's degree, both with the highest honor in Department of Electronics and Information Engineering at Huazhong University of Science and Technology in China.

My current research interests include data mining, data analytics, and designing reinforcement learning algorithms for various kinds of applications, such as web recommendation systems, computer networks, and online social networks. I have also been interested in designing distributed routing protocols for wireless sensor networks in IoT (Internet of Things).

Publications

  • K. Chen, K. Cai, L. Huang, and John C.S. Lui. Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. Accepted for publication on the International Joint Conferences on Artificial Intelligence (IJCAI), 2018. [Bibtex] [Link]
  • K. Cai, X. Liu, Y. Chen, and John C.S. Lui. An Online Learning Approach to Network Application Optimization with Guarantee. IEEE International Conference on Computer Communications (IEEE INFOCOM), 2018. [PDF] [Bibtex]
  • K. Cai, H. Xie, and John C.S. Lui. Information Spreading Forensics via Sequential Dependent Snapshots. IEEE/ACM Transactions on Networking (IEEE/ACM ToN), Vol. 26, Issue 1, 2018. [Bibtex] [Link]
  • K. Cai, K. Chen, L. Huang, and John C.S. Lui. Multi-level Feedback Web Links Selection Problem: Learning and Optimization. The IEEE International Conference on Data Mining series (IEEE ICDM), 2017. [Bibtex] [Link]
  • K. Cai, H. Xie, and John C.S. Lui. Generalization of Information Spreading Forensics via Sequential Dependent Snapshots. The Workshop on MAthematical performance Modeling and Analysis (MAMA), 2016. [Bibtex] [PDF] Also appeared on the Special Issue of Performance Evaluation Review, 2016. [Bibtex] [PDF]
  • K. Cai, Z. Yin, H. Jiang, G. Tan, P. Guo, C. Wang, and B. Li. OnionMap: A Scalable Geometric Addressing and Routing Scheme for 3D Sensor Networks. IEEE Transactions on Wireless Communications (IEEE TWC). Vol.14, no. 1 (2015): 57-68. [Bibtex] [PDF] [Code]
  • W. Liu, H. Jiang, X. Bai, G. Tan, C. Wang, W. Liu, and K. Cai. Distance Transform-based Skeleton Extraction and Its Applications in Sensor Networks. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS). Vol.24(9): 1763-1772, 2013. [Bibtex] [PDF]
  • W. Liu, H. Jiang, X. Bai, G. Tan, C. Wang, W. Liu, and K. Cai. /Skeleton Extraction from Incomplete Boundaries in Sensor Networks Based on Distance Transform/. IEEE Distributed Computing Systems (IEEE ICDCS), (pp. 42-51), 2012. [Bibtex] [PDF]
  • K. Cai, G. Tan and H. Jiang. Embedding Networks Using Hyperbolic Vivaldi Algorithm. Appeared as a poster in IEEE INFOCOM Student Activities, 2011. [Not refereed] [PDF] [Code]

Courses

  • Fall, 2015. IERG 6300: Probability Theory
  • Fall, 2015. ENGG 5108: Big Data Analytics
  • Spring, 2015. ENGG 5781: Matrix Analysis and Computations
  • Spring, 2015. CSCI 5120: Advanced Topics in Database System
  • Fall, 2014. ENGG 5501: Foundations of Optimization
  • Fall, 2014. IERG 5330: Network Economics

TA

  • Fall, 2016. CSCI 2040: Introduction to Python
  • Spring, 2016. CSCI 3320: Fundamentals of Machine Learning
  • Fall, 2015. CSCI 1040: Hands-on Introduction to Python
  • Spring, 2015. CSCI 1050: Hands-on Introduction to MATLAB
  • Fall, 2014. CSCI 3150: Introduction to Operating Systems

Awards

  • INFOCOM 2018 Student Travel Grant
  • CUHK Postgraduate Studentship
  • Outstanding Graduate Student of HUST
  • National Scholarship for Graduate Student
  • Outstanding Undergraduate Student of Advanced Class at HUST