Institute of Communications Eng. & Department of Electrical Eng.
WCSP at one Glance!
We focus on the fundamentals and applications of convex optimization in wireless communications and signal processing in a variety of subjects including 5G System Designs, Statistical Signal Processing, and Big Data Analyses.
Welcome to the homepage of Wireless Communications & Signal Processing (WCSP) Lab. We are a research group, dedicated to cutting-edge, interdisciplinary researches, aiming at solving a wide range of scientific and engineering problems in WCSP and Artificial Intelligence (AI), with recent emphasis on intelligent fusion of AI and convex optimization (CVXopt), privacy-preserved and/or resource-constrained learning and optimization.
Supported by National Science and Technology Council and some other funding agencies, we have accomplished many exciting, leading research results, which have been well recognized domestically and internationally, and published more than 90 journal papers (mostly in IEEE Trans. Signal Processing) and more than 140 international conference papers. Since 2003, we have collaborated internationally with research groups in Virginia Tech. (VT), VA, University of Minnesota (UoM), MN, Chinese University of Hong Kong (CUHK), Hong Kong, and some top universities in Mainland China.
Congratulations to Yiwei Li (李藝偉) for winning the "Pan Wen-Yuan Foundation Scholarship", 2022.
祁忠勇教授榮獲科技部109年度傑出研究獎
Congratulations to Yiwei Li (李藝偉) for winning the "Living Grant for International Graduate Students of 2020 CTCI Foundation Science and Technology Scholarship".
祁忠勇教授榮獲中國電機工程學會109年度傑出電機工程教授獎
IEEE Fellow:
Professor Chong-Yung Chi was elevated to "IEEE Fellow", 2020.
Congratulations to Yiwei Li (李藝偉) for winning the "International Graduate Students of 2019 CTCI Foundation Science and Technology Scholarship".
2018 IEEE Signal Processing Best Paper Award: Kun-Yu Wang, Anthony Man-Cho So, Tsung-Hui Chang, Wing-Kin Ma, and Chong-Yung Chi, "Outage constrained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization," IEEE Trans. Signal Processing, vol. 62, no. 21, pp. 5690-5705, Nov. 2014.
