Kechao CAI
Assistant Professor
Room South 3-313, Engineering Park
Guang Ming, Shen Zhen, China
E-Mail: caikch3[at]mail.sysu.edu.cn
School of Electronics and Comm. Eng.
Sun Yat-Sen University
About
I am an assistant professor in the School of Electronics and Communication Engineering funded by the Hundred-Talent Program at Sun Yat-Sen University. From the October 2019 to the March 2021, I was a postdoctoral research fellow working with Prof. John C.S. Lui in Department of Computer Science and Engineering at The Chinese University of Hong Kong. I received my Ph.D. degree in Computer Science supervised by Prof. John C.S. Lui at The Chinese University of Hong Kong in 2019. I received the bachelor's degree (Advanced Class) and master's degree in the Department of Electronics and Information Engineering at Huazhong University of Science and Technology in China.
My 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 AIoT (Artificial Intelligence of Things).
Mentoring
I am now looking for graduate students and intern students who are interested in smart communication networks, AIoT, machine learning, and data analytics. If you are interested in and want to collaborate with me, feel free to contact me.
Current Students
- Yingjie Zhao
- Zhuoyue Chen
- Ziqun Chen
- Jiamei Ji
- Zhenghao Sha
Former Students & Interns
- Zhongyuan Liu, ML/AI Engineer, Huawei, Shenzhen
- Chunhang Zheng, Master student in information engineering, Peking University, Beijing
- Mingli Xie, Master student in information engineering, Chinese Academy of Sciences, Beijing
- Hao Tang, Master student in computer science, Shanghai Jiaotong University, Shanghai
- Qijie Mo, Master student in Computer science, Sun Yat-sen University, Guangzhou
- Yihao Chen, System Engineer, Bank of China, Shenzhen
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- Wanying Liu, Master student in Electronic engineering, Sun Yat-sen University, Shenzhen
- Ying Wang, Civil Servant, Kunming
- Wenyang Li, Network Engineer, Huawei, Shenzhen
- Zhanyi Guan, Algorithm Engineer, Shopee, Shenzhen
- Pu Deng, Master student in material science, Sun Yat-sen University, Shenzhen
- Bohong Zheng, Master student in Financial Engineering, Hong Kong University of Science and Technology, Hong Kong
- Janice Chen, PhD in computer science, University of Massachusetts Amherst, United States
Selected Publications
- W. Cen, J. Zhang, K. Cai, S. Sun, and John C.S. Lui. A Fast Heuristic Entanglement Distribution Algorithm for Quantum Repeater Chains. Accepted for publication on IEEE/ACM Transactions on Networking (IEEE/ACM ToN), 2024.
- X. Wang, C. Chen, K. Huang, J. Zhang, K. Cai. Coded Caching in Hierarchical Cache-Aided Networks with Nonuniform User Distribution. Accepted for publication on the IEEE Internet of Things Journal (IEEE IoTJ), 2024.
- Z. Chen, K. Cai, Z. Chen, J. Zhang, and John C.S. Lui. Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays. To appear on the 27th European Conference on Artificial Intelligence (ECAI), 2024.
- S. Lin, Y. Sun, J. Zhang, K. Cai, H. Chen, S. Cui, and X. Xu. Cooperative Semantic Knowledge Base Update Policy for Multiple Semantic Communication Pairs. To appear on the IEEE Global Communications Conference (IEEE Globecom), 2024.
- Z. Chen, K. Cai, J. Zhang, and John C.S. Lui. DaMPS: A Deadline-aware Multipath Packet Scheduler for Mobile Applications. To appear on the 21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), 2024.
- K. Huang, X. Wang, J. Zhang, K. Cai, and X. Zhu. Interplay of Request Number and Cache Size in Coded Caching. Accepted for publication on IEEE Transactions on Communications (IEEE TCOM), 2024.
- C. Zheng and K. Cai. GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm. International Conference on Computer Communications and Networks (ICCCN), 2024.
- W. Guan, K. Huang, X. Xie, J. Zhang, K. Cai, and X. Huang. New Results on Coded Caching in Partially Cooperative D2D Networks. IEEE International Symposium on Information Theory (IEEE ISIT), 2024.
- M. Liu, Z. Li, K. Cai, J. Allcock, S. Zhang, and John C.S. Lui. Quantum BGP with Online Path Selection via Network Benchmarking. IEEE International Conference on Computer Communications (IEEE INFOCOM), 2024.
- Z. Liu, K. Cai, J. Zhang, and N. Xin. An Online Caching Scheme for 360-Degree Videos at the Edge. IEEE 98th Vehicular Technology Conference (IEEE VTC), 2023.
- H. Li, K. Huang, J. Zhang, K. Cai, and X. Huang. Exploiting the Overheard Information of Coded Caching for Heterogeneous Lossy Channels. IEEE 98th Vehicular Technology Conference (IEEE VTC), 2023.
- Z. Chen, K. Cai, J. Zhang, and X. Zhu. PCC Priority: A Priority-Aware Bandwidth Allocation Framework for QUIC. IEEE Networking Letters (IEEE LNET), doi: 10.1109/LNET.2023.3269054, 2023.
- J. Ye, D. Lin, K. Cai, C. Zhou, J. He, and John C.S. Lui. Data-Driven Rate Control for RDMA Networks: A Lightweight Online Learning Approach. IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), 2023.
- M. Liu, Jon. Allcock, K. Cai, S. Zhang, and John C.S. Lui. Quantum networks with multiple service providers: Transport layer protocols and research opportunities. IEEE Network, vol. 36, no. 5, pp. 56-62, doi: 10.1109/MNET.001.2200151, 2022.
- K. Cai, X. Liu, Y. Chen, and John C.S. Lui. Learning with Guarantee via Constrained Multi-armed Bandit: Theory and Network Applications. IEEE Transactions on Mobile Computing (IEEE TMC), DOI 10.1109/TMC.2022.3173792, 2022.
- J. Ye, K. Cai, D. Lin, J. Li, J. He, and John C.S. Lui. A Control-Theoretic and Online Learning Approach to Self-Tuning Queue Management. IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) (IEEE/ACM IWQoS), 2022.
- K. Cai, John C.S. Lui. An Online Learning Multi-path Selection Framework for Multi-path Transmission Protocols. The 53rd Annual Conference on Information Systems & Sciences (CISS), 2019. [Bibtex]
- K. Chen, K. Cai, L. Huang, and John C.S. Lui. Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. 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]
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- 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. IEEE INFOCOM Student Poster, 2011. [Not refereed] [PDF] [Code]
Talks
- Quantum Best Arm Identification Problem
- Online Learning Multi-path Selection Framework
- Algorithms for stochastic multi-armed bandit problems
- Bandit algorithms and their applications
- Introduction to variational inference
- Multiplicative weight update: algorithms, analysis, and applications
- Mean field analysis of multi-armed bandit
Teaching
- Fall, 2024, SYSU, Advanced Programming in C++
- Spring, 2024, SYSU, Computer Networking
- Fall, 2023, SYSU, Advanced Programming in C++
- Spring, 2023, SYSU, Communication Networks
- Spring, 2023, SYSU, English Writing and Academic Communication
- Spring, 2023, SYSU, Online Learning and Decision Optimization
- Spring, 2022, SYSU, Communication Networks
- Spring, 2022, SYSU, Online Learning and Decision Optimization
- Spring, 2022, SYSU, English Writing and Academic Communication
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- Fall, 2019. CUHK, CMSC 5728: Decision Analysis and Game Theory
- Spring, 2018. CUHK, CMSC 5734: Network Science
- Fall, 2016. CUHK, CSCI 2040: Introduction to Python
- Spring, 2016. CUHK, CSCI 3320: Fundamentals of Machine Learning
- Fall, 2015. CUHK, CSCI 1040: Hands-on Introduction to Python
- Spring, 2015. CUHK, CSCI 1050: Hands-on Introduction to MATLAB
- Fall, 2014. CUHK, CSCI 3150: Introduction to Operating Systems
Awards
- IEEE Travel Grant
- CUHK Postgraduate Studentship
- Outstanding Graduate Student of HUST
- National Scholarship for Graduate Student
- Outstanding Undergraduate Student of Advanced Class at HUST