Southeast University, Nanjing, China (Post Code: 210096)
National Mobile Communications Research Laboratory, Room 5319
Born in Bozhou, China, on Nov. 17th, 1999
Tel: (+86)158-5069-8678
Email: jlcheng AT seu DOT edu DOT cn (jlcheng@seu.edu.cn)
Personal Website: jaylencheng.github.io
BASIC INFORMATION
Jiale Cheng (Student Member, IEEE) received the B.S. degree (Hons.) in information engineering from the Chien-Shiung Wu Honored College, Southeast University, China, in 2020, where he is currently pursuing the M.S. degree with the School of Information Science and Engineering. His research interests includes information theory and computation security. In 2021, he served as an Invited Reviewer for the IEEE International Symposium on Information Theory (ISIT).
CURRENT RESESARCH INTEREST
Information Theory, Network Coding and its applications
Relevant Coursework: Introduction to Information Transmission, Principle of Communication, Optimization Methods for Communications and Signal Processing
Honors: Honored Graduate of Chien-Shiung Wu Honored College, National Endeavour Fellowship
Cumulative GPA: 3.29/4.00
Southeast University (SEU), School of Information Science and Engineering, Nanjing, China, 09/2020- Present
Master of Engineering (Pursuing) in Communications
Supervisor: Nan Liu, Wei Kang
Research Fields: Information Theory, Network Coding, Private Information Retrieval, Coded Caching, Secure Multiparty Computation
Courses: Network Coding, Network Information Theory, Detection & Estimation, Random Process
Estimated GPA: 3.9/4.0
JOURNAL PUBLICATIONS
J. Cheng, N. Liu, W. Kang and Y. Li, "The Capacity of Symmetric Private Information Retrieval Under Arbitrary Collusion and Eavesdropping Patterns," in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 3037-3050, 2022, doi: 10.1109/TIFS.2022.3201375.
Abstract: We study the symmetric private information retrieval (SPIR) problem under arbitrary collusion and eavesdropping patterns for replicated databases. We find its capacity, which is the same as the capacity of the original SPIR problem with the number of servers N replaced by a number $ F^* $ . The number $ F^* $ is the optimal solution to a linear programming problem, and it is a function of the joint pattern, which is the union of the collusion and eavesdropping pattern. This is the first result that shows how two arbitrary patterns collectively affect the capacity of the SPIR problem. We draw the conclusion that for SPIR problems, the collusion and eavesdropping constraints are interchangeable in terms of capacity, i.e., the two patterns play the same role in the SPIR problem and the capacity remains unchanged if we exchange the colluding and eavesdropping patterns. As corollaries of our result, the capacity of the SPIR problem under arbitrary collusion patterns, and the capacity of the PIR problem where each colluding set is included in some eavesdropping set, are also found. Some extensions with restrictions to finite message lengths are provided, and in this case, upper and lower bounds on the capacity are given. The lower bound is described with a solution to an integer linear programming problem.
J. Cheng, N. Liu, W. Kang, "On the Asymptotic Capacity of Information Theoretical Privacy-preserving Epidemiological Data Collection", to be submitted to Entropy.
Abstract: We formulate a new secure distributed computation problem, where a simulation center can require any linear combination of K workers' data through a caching layer consisted of N servers. The workers, servers and the simulation center do not trust each other. For workers, any worker’s data is required to be protected from up to E servers; for the server, any more information than the desired linear combination cannot be leaked; and for the simulation center, any single server know nothing about the coefficients of the linear combination. Our goal is to find the optimal download cost which is defined as the size of message uploaded to the simulation center by the servers, to the size of desired linear combination. We proposed a scheme with the optimal download cost when E < N − 1. We also prove that when E ≥ N - 1, the scheme is not feasible.
To be submitted to Entropy Special Issue “Advances in Information and Coding Theory”
2022 IEEE East Asian School of Information Theory (EASIT2022), Shenzhen, China 08/2022
Participated as a student member
Student Poster Session: “The Capacity of Symmetric Private Information Retrieval Under Arbitrary Collusion and Eavesdropping Patterns”
2021 IEEE East Asian School of Information Theory (EASIT2021), Online 08/2021
Participated as a student member
2021 IEEE International Symposium on Information Theory (ISIT2021), Melbourne, Australia 07/2021
Served as an invited reviewer of paper
2019 IEEE International Workshop on Signal Processing Systems (SiPS2019), Nanjing, China 10/2019
Student Poster Session & Oral Presentation: “The Design and Simulation of Phased Array Focus in Ultrasonic Wireless Power Transmission”
American Association of Physics Teachers (AAPT) Summer Meeting, Cincinnati, OH 07/2017
Student Poster Session: “On the falling of a rigid body”
RESEARCH EXPERIENCE
National Engineering Research Center for Optical Sensor and Communication Integrated Network (OSCC) Nanjing, China, 09/2018-02/2020
Using the Phased Array Focus to study the Ultrasonic Wireless Power Transmission;
Responsible for the simulation of a proposed design before physical implementation;
Participated in SiPS2019
National Mobile Communications Research Laboratory (NCRL) Nanjing, China, 09/2020-Present
Interests in information theory and network coding;
Participate in the National Key Research and Development Project
Filed a patent in China (Publication No. CN 114567488 A)
EXTRACURRICULAR ACTIVITY
Jiangsu Blood Center, Nanjing, China, 10/2017-09/2018
Served as a volunteer in Jiangsu Blood Center to offer assistance for the blood donors
Enrolled as a registered volunteer of the Red Cross Society of China
HONORS & AWARDS
National Endeavour Fellowship of China, SEU, 2017
Honor Mentioned in Mathematical Contest of Modeling (MCM), 2019
IEEE Student Member,2021
IEEE Information Theory Society Membership, 2021
SKILLS & INTERESTS
Language Skills: Chinese (native), English (fluent), Japanese (elementary knowledge)
Computer Skills: MATLAB, C/C++, Microsoft Office Tools, LaTeX, Mathematica, Photoshop
Interests: Reading, Piano, Table Tennis
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