Graduate Students and Undergraduate Research Students Wanted: Join Our Lab! Inquiries and Visits Welcome.
Assistant Professor
Department of Computer Science and Information Engineering (CSIE)
National Chung Cheng University (CCU)
Chiayi, Taiwan
OFFICE EA311
LAB EA301B
EMAIL twchiang [at] cs.ccu.edu.tw
OFFICE PHONE +886-5-272-0411 #33142
ADDRESS No.168, Sec. 1, University Rd., Minhsiung, Chiayi 621301, Taiwan (R.O.C.)
(Jimmy)
Tsung-Wei Chiang
We warmly welcome 葦哲 and 嘉鴻, who joined our lab as new graduate students and researchers in August 2024. They are researching topics of federated learning.
We warmly welcome 名原 and 品儒, who joined our lab as new undergraduate research students and researchers in December 2024. They are researching topics and applications related to large language models (LLM).
We warmly welcome international interns Khong My Phuong (from Vietnam), Meghanshu Verma (from India), and Lim Phai Yuan (from Malaysia), who will join our lab soon, around the summer and fall of 2025.
We warmly welcome 民瑋、奕任、鈞凱、承諺, Chinni Sumanth, and Vikas Chowdary, who will join our lab as new graduate students and researchers in summer 2025.
Total number of lab members:
8 graduate students and researchers
2 undergraduate research students and researchers
3 interns and researchers
1 (me) project investigator and researcher
"They are all authentic pioneers from the early days of our laboratory."
After receiving my Ph.D. in the Graduate Institute of Communication Engineering at National Taiwan University (NTU) in 2016, I pursued roles as a Postdoctoral Fellow and Researcher at NTU in 2018. In 2019, I became a Visiting Scholar and Research Scientist at Microsoft Research (MSR) in Redmond, WA, USA. While at NTU and MSR, I expanded my data science and deep learning expertise.
From 2021 to 2024, I worked as a Communications Research Scientist at MediaTek Inc. in Hsinchu, Taiwan, focusing on advancing next-generation (6G) wireless communication technologies. Since August 2024, I have served as an Assistant Professor in the Computer Science and Information Engineering Department at National Chung Cheng University, Taiwan.
As a new university faculty member, I am establishing my laboratory better and welcome you to join me as one of its early pioneers. One of the critical aspects of my professional journey has been collaboration. I have had the privilege to work with esteemed international labs and specialists from Japan, Taiwan, and the USA. Our joint efforts have spanned various fields, including AI, signal processing, data science, and network science. This collaborative spirit will be a cornerstone of my lab, which will specialize in theoretical and fundamental research, providing a solid foundation for addressing applied research topics through rigorous analysis and exploring the limits of algorithm design.
My recent research projects at the lab have focused on two key areas, each with its unique set of challenges and opportunities. The first area is privacy-preserving technologies and distributed learning, mainly on federated learning for AIoT applications and 6G mobile communications. The second area of focus is advancing research in AI for wireless communications and wireless communications for AI. These projects aim to address challenges related to sensing, communications, and computing, with the ultimate goal of integrating these elements to enhance system capabilities and performance.
"Nothing is more practical than a good theory." --- Vladimir N. Vapnik, 1936~
Our lab emphasizes the relationship between theoretical understanding and practical application. We believe in the power of theory to drive practical advancements. As the quote suggests, a well-formulated theory is not just abstract but often leads to the most effective and efficient practical solutions. This idea resonates in scientific and engineering disciplines, especially in fields like machine learning, where many breakthroughs in practical technologies are deeply rooted in solid theoretical frameworks.
6G Mobile Communications, Wireless Communications, and Statistical Signal Processing
Artificial Intelligence, Machine Learning, and Deep Learning
Privacy and Security in Data Science and Network Science
Jimmy's Present
Jimmy's Past
Jimmy's Future
Assistant Professor, Department of Computer Science and Information Engineering, National Chung Cheng University (Chiayi, Taiwan), August 2024~Now
Research Scientist, MediaTek Inc. (Hsinchu, Taiwan), 2021~2024
Technical Consultant and IT Specialist, Hengda Attorneys At Law (Taipei, Taiwan), 2020
Research Scientist and Visiting Scholar, Microsoft Research (Redmond, WA, US), 2019
Postdoctoral Fellow and Researcher, National Taiwan University (Taipei, Taiwan), 2018
Military Service, Ministry of National Defense (Taiwan), 2017
Ph.D. in Communications Engineering, National Taiwan University (NTU), 2016
M.S. in Electrical Engineering, National Tsinghua University (NTHU), 2009
B.S. in Electrical Engineering, National Donghwa University (NDHU), 2007
Yi-Han Chiang, Koudai Terai, Tsung-Wei Chiang, Hai Lin, Yusheng Ji, and John Lui, “Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things,” IEEE Internet of Things Journal, vol. 11, no.2, pp. 2166-2180, Jan. 2024.
Yi-Han Chiang, Tsung-Wei Chiang, Tianyu Zhang, and Yusheng Ji, “Deep-Dual-Learning-Based Cotask Processing in Multiaccess Edge Computing Systems,” IEEE Internet of Things Journal, vol. 7, no.10, pp. 9383-9398, Oct. 2020.
Tsung-Wei Chiang and Ju-Hong Lee, “Dynamic Information Model for the Performance of Wireless MIMO Communication Channels with Receiver Mobility,” IEEE Access, vol. 7, pp. 160418-160435, Oct. 2019.
Tsung-Wei Chiang and Ju-Hong Lee, “Finite-SNR Diversity–Multiplexing Tradeoff with Accurate Performance Analysis for Fully Correlated Rayleigh MIMO Channels,” IEEE Transactions on Vehicular Technology, vol. 65, no. 11, pp. 8910-8924, Nov. 2016.
Tsung-Wei Chiang and Ju-Hong Lee, “Finite SNR Diversity-Multiplexing Tradeoff with Spatial Correlation and Mutual Coupling Effects for Rayleigh MIMO Channels,” Journal of the Franklin Institute, vol. 353, no. 12, pp. 2783-2813, Aug. 2016.
Tsung-Wei Chiang and Ju-Hong Lee, “Lower Bound for Finite-SNR DMT with Position Estimation Errors in MIMO Channels,” IEEE Communications Letters, vol. 20, no. 8, pp. 1691-1694, Aug. 2016.
Sien-Kai Hsieh and Tsung-Wei Chiang, “AI Trials in Legal Cases from The Perspective of Constitutional Law,” in The 24th National Legal Technology Conference, Taipei, Taiwan, 3 Dec. - 4 Dec. 2020, pp. 449-476.
Tsung-Wei Chiang and Ju-Hong Lee, “A Banking Mechanism of Diversity-Multiplexing Tradeoff for Massive MIMO Systems,” in European Wireless Conference, Budapest, Hungary, 20 May - 22 May 2015, pp. 1-6.
Tsung-Wei Chiang and Kwang-Cheng Chen, “Synthetic Aperture Radar Construction of Spectrum Map for Cognitive Radio Networking,” in ACM International Wireless Communications and Mobile Computing Conference, Caen, France, 28 June - 2 July 2010, pp. 631-635.
Tsung-Wei Chiang, Jung-Mao Lin, and Hsi-Pin Ma, “Optimal Detector for Multitaper Spectrum Estimator in Cognitive Radios,” in IEEE Global Communications Conference, Honolulu, Hawaii, USA, 30 Nov. - 4 Dec. 2009, pp. 1-6.
Served as a dedicated technical reviewer for international journals, including IEEE Transactions on Vehicular Technology, IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications, and IEEE Access; particularly for the scope of detection theory, estimation theory, AI, data science, and multiple antennae wireless communications.
Served as a dedicated technical reviewer for international conferences, including IEEE Global Communications Conference, IEEE Vehicular Technology Conference, IEEE International Conference on Communications, IEEE International Conference on Computer Communications, and European Wireless Conference.