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I am a professor in the Institute of Communications Engineering at National Yang Ming Chiao Tung University (NYCU). Prior to this position, I was affiliated with the Department of Communication Engineering, National Taipei University (NTPU), Taiwan, where I served as an assistant professor from 2015 to 2018 and an associate professor from 2018 to 2020. From 2013 to 2015, I held the position of a postdoctoral research associate in the ECE at Texas A&M University, where I earned my Ph.D. degree in May 2013. I spent the summer of 2012 at Bell Labs as a research intern. My research interests encompass information theory, network information theory, modern coding theory, and wireless communications. More recently, I have also been working in the area of data science and machine learning.
Contact Information
E-mail: jerryhuang at nycu.edu.tw
jerry.yc.huang at gmail.com
Office: 834, ED Building, NCTU
To Prospective Students
I am actively recruiting highly motivated students (at all levels) and postdocs who are interested in working with me on B5G/6G communications, machine learning, coding theory, information theory or other topics in data science.
If you are interested in my research, feel free to send me an email for arranging a meeting. In your email, please indicate time slots that we are mutually available (see my schedule).
News
[Opening] I currently have two postdoc openings. If you are interested, please email me your CV and research interests.
(Apr. 2024) Two papers accepted to ISIT 2024.
(Mar. 2024) A paper accepted to VTC-spring 2024.
(Jan. 2024) New paper "UAV-RIS assisted multiuser communications through transmission strategy optimization: GBD application " accepted to IEEE Transactions on Vehicular Technology.
(Nov. 2023) Appointed to serve as an Associate Editor for IEEE Transactions on Communications.
(Oct. 2023) New paper "Coded distributed multiplication for matrices of different sparsity levels" accepted to IEEE Transactions on Communications.
(Sep. 2023) A paper accepted to VTC-fall 2023.
(Aug. 2023) Received 2023 NSTC Wu Ta-You Memorial Award 吳大猷先生紀念獎
(Aug. 2023) New paper "Scheduling for periodic multi-source systems with peak-age violation guarantees" accepted to IEEE Transactions on Communications.
(Aug. 2023) A paper accepted to Globecom 2023.
(July 2023) New paper "An efficient algorithm and quantization for fully distributed sequential change detection" accepted to IEEE Transactions on Communications.
(Apr. 2023) Three papers accepted to ISIT 2023.
(Mar. 2023) New paper “Downlink transmission with heterogeneous URLLC services: Discrete signaling with single-user decoding” accepted to IEEE Journal on Selected Areas in Communications.
(Jan. 2022) A paper accepted to ICC 2023.
(Nov. 2022) Co-organized (with Shih-Chun Lin @NTU and Stefano Rini @NYCU) the IEEE ITW 2022 Themed Session "Communication-efficient gradient compression and coding in distributed learning" (link).
(Sept. 2022) Received Excellent Teaching Award, NYCU
(Sept. 2022) New paper "Random linear streaming codes in the finite memory length and decoding deadline regime—part I: Exact analysis" published in IEEE Transactions on Information Theory.
(May 2022) A paper accepted to ISIT 2022.