Postdoctoral Research Associate
李文玄 (Wen-Hsuan Li), 2020/08~2025/01
Ph. D., National Chiao Tung University, 2020
First job: Assistant Professor, Department of Communication, National Taipei University
Paper:
[J1] Min-Xiang Hsu, Yu-Chih Huang, Wen-Hsuan Li, Che-Fu Chu, and Pin-Jui Wu, “An efficient algorithm and quantization for fully distributed sequential change detection,” IEEE Trans. on Commun., vol. 71, no. 10, pp. 6088-6099, Oct. 2023.
[J2] Wen-Hsuan Li, Tzu-Chin Chen, Shih-Chun Lin, and Yu-Chih Huang, “Improved coded quickest classification in the presence of erroneous reports,” IEEE Trans. on Sig. Process., 2025, submitted.
[C1] Wen-Hsuan Li and Yu-Chih Huang, “Bandwidth-constrained distributed quickest change detection in heterogeneous sensor networks: Anonymous vs non-anonymous settings,” IEEE ISIT, 2023.
[C2] Wen-Hsuan Li and Yu-Chih Huang, “Syndrome-based fusion rules in heterogeneous distributed quickest change detection,” IEEE ISIT, 2024.
Ph. D.
胡安曼 (Aamer Mohamed Huroon), Doctor of Philosophy 2024
(co-advised with Prof. Li-Chun Wang)
Dissertation: Design and Optimization of UAV-RIS Assisted Multiuser Communication Systems for Next-Generation 6G Wireless Networks
Paper:
[J1] Aamer Mohamed Huroon, Yu-Chih Huang, and Li-Chun Wang, “UAV-RIS assisted multiuser communications through transmission strategy optimization: GBD application,” IEEE Trans. on Veh. Technol., vol. 3, no. 6, pp. 8584 - 8597, June 2024.
[C1] Aamer Mohamed Huroon, Yu-Chih Huang, and Li-Chun Wang, “Optimized transmission strategy for UAV-RIS 2.0 assisted communications using rate splitting multiple access,” IEEE VTC-fall, 2023.
Visiting Students
Min Qiu (02/2018~06/2018, Endeavour Fellowship from Australian Government)
Ph. D., University of New South Wales, NSW, Australia, 2019
Advisor: Prof. Jinhong Yuan
Current affiliation: Postdoctoral Research Associate, University of New South Wales, NSW, Australia
Ping-Chung Wang (02/2015~05/2015, 12/2016~01/2017)
Ph. D., Texas A&M University, TX, USA, 2018
Advisor: Prof. Krishna R. Narayanan
Current affiliation: Apple Inc., San Diego, CA, USA
Master
簡珩安 (Heng-An Chien), Master of Science 2025
Thesis: A Novel Frameless ALOHA Scheme for Heterogeneous Users
First job:
陳冠勳 (Guan-Syun Chen), Master of Science 2024
Thesis: Enhancing beam prediction via masked and teacher-student machine learning frameworks
First job: Chunghwa Telecom Laboratories, Taipei, Taiwan
郭俊毅 (Chun-Yi Kuo), Master of Science 2024
Thesis: A study on D2D scheduling for integrated sensing and communication systems
First job: MediaTek Inc., Hsinchu, Taiwan
林家均 (Chia-Chun Lin), Master of Science 2024
Thesis: An active approach for piecewise stationary restless bandit problem
Poster:
[P1] Chia-Chun Lin, Kuan-Ta Li, Ping-Chun Hsieh, Yu-Pin Hsu, and Yu-Chih Huang, "Design and analysis of non-stationary restless multi-armed bandits," ICS 2024.
First job: Military service
吳居容 (Chu-Jung Wu), Master of Science 2024
Thesis: A study on early decoding of polar codes
First job: Exchange student, The Technical University of Denmark (DTU)
高傳傑 (Chuan-Jie Gao), Master of Science 2024
Thesis: Federated learning via algebraic lattices over block fading channels
First job: Military service
陳子晴 (Tzu-Ching Chen), Master of Science 2024
Thesis: Improved fusion rules for coded quickest classification in the presence of erroneous reports
First job: Ericsson, New Taipei City, Taiwan
Paper:
[J1] Wen-Hsuan Li, Tzu-Chin Chen, Shih-Chun Lin, and Yu-Chih Huang, “Improved coded quickest classification in the presence of erroneous reports,” IEEE Trans. on Sig. Process., 2025, submitted.
陳冠達 (Kuan-Ta Chen), Master of Science 2024
Thesis: Partial parallel decoding of IRSA with fading and noise
First job: Military service
顏睿群 (Jui-Chun Yen), Master of Science 2024
Thesis: A comparative study of OFDM with channel prediction and OTFS in the presence of channel aging
First job: Realtek, Hsinchu, Taiwan
林荺城 (Yun-Cheng Lin), Master of Science 2024
Thesis: A novel MIMO precoder prediction method based on geodesic regression on Grassmannian manifolds
First job: KLA Corporation, Kaohsiung, Taiwan
郭昱宏 (Yu-Hung Kuo), Master of Science 2024
Thesis: A study on machine learning-based channel prediction in MIMO systems
First job: Unknown...
余主恩 (Ju-En Yu), Master of Science 2024
Thesis: Performance evaluation of polar coding on rate-distortion-perception
First job: Ph. D student, NYCU
吳宇杰 (Yu-Chieh Wu), Master of Science 2024
Thesis: MIMO-NOMA uplink and downlink with simultaneous generalized triangular decomposition and SIC
Highlights:
[H1] Industry Sponsored Student: Wistron NeWeb Corp.
[H2] 2024 Best Master Thesis Award, IEEE Taipei Section
First job: MediaTek Inc., Hsinchu, Taiwan
Paper:
[J1] Yu-Chieh Wu, Yu-Chih Huang, Chin-Liang Wang, and Kai-Di Hsiao, “MIMO-NOMA uplink and downlink with simultaneous generalized triangular decomposition and SIC,” IEEE Trans. on Wireless Commun., 2025, submitted.
李冠達 (Kuan-Ta Li), Master of Science 2023
Thesis: Revisiting the piecewise stationary multi-arm bandit problem through diminishing exploration
First job: Ph. D student, NYCU
郭繼陽 (Chi-Yang Kuo), Master of Science 2023
Thesis: Dynamic redundancy and code selection for coded distributed computing
First job: MediaTek Inc., Hsinchu, Taiwan
陳仲景 (Zhong-Jing Chen), Master of Science 2023
(co-advised with Prof. Stefano Rini)
Thesis: A novel algorithm for communication-efficient federated DNN training
Papers:
[J1] Zhong-Jing Chen, Eduin Hernandez, Yu-Chih Huang, and Stefano Rini, “Communication-efficient federated DNN training: Convert, compress, correct,” IEEE Internet Things J., 2024, accepted.
[C1] Zhong-Jing Chen, Eduin E. Hernandez, Yu-Chih Huang, and Stefano Rini, “DNN gradient lossless compression: Can GenNorm be the answer?” IEEE ICC, 2022.
First job: MediaTek Inc., Hsinchu, Taiwan
曾立揚 (Li-Yan Tseng), Master of Science 2022
Thesis: A novel model compression and error correction scheme for deep neural networks
First job: MediaTek Inc., Hsinchu, Taiwan
賴裕第 (Yu-Ti Lai), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: A Gaussian neighbor selection criterion for efficient decoder of low-density lattice codes
First job: Realtek, Hsinchu, Taiwan
許閔翔 (Min-Xiang Hsu), Master of Science 2022
Thesis: An efficient algorithm and quantization based on genetic algorithm for fully distributed sequential change detection
Paper: [J1] Min-Xiang Hsu, Yu-Chih Huang, Wen-Hsuan Li, Che-Fu Chu, and Pin-Jui Wu, “An efficient algorithm and quantization for fully distributed sequential change detection,” IEEE Trans. on Commun., vol. 71, no. 10, pp. 6088-6099, Oct. 2023.
Highlight: [H1] 2022 Best Master Thesis Award, IEEE Taipei Section
First job: MediaTek Inc., Hsinchu, Taiwan
林家安 (Jia-An Lin), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: Coded distributed multiplication for matrices of different sparsity levels
Paper: [J1] Jia-An Lin, Yu-Chih Huang, Ming-Chun Lee, and Po-Ning Chen, “Coded distributed multiplication for matrices of different sparsity levels,” IEEE Trans. on Commun., vol. 72, no. 2, pp. 633-647, 2024.
Highlight: [H1] 2023 CIEE Best Master’s Thesis Award, 3rd place (中國電機工程學會青年論文獎第三名)
First job: Tron Future Tech Inc., Hsinchu, Taiwan
黃威誠 (Wei-Cheng Huang), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: Distributed scheduling for status update in IoT with heterogeneous devices under the IRSA protocol
Paper: [J1] Wei-Cheng Huang, Yu-Chih Huang, Kuan-Yu Lin, Shin-Lin Shieh, and Po-Ning Chen, “Distributed scheduling for status update with heterogeneous services under the IRSA protocol,” IEEE Trans. on Veh. Technol., vol. 72, no. 11, pp. 14468-14481, Nov. 2023.
First job: Realtek, Hsinchu, Taiwan
黃慶棠 (Ching-Tang Huang), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: A modified vector Prony’s method for channel prediction in time-varying MIMO channels
Paper: [C1] Chin-Tang Huang, Yu-Chih Huang, Shin-Lin Shieh, and Po-Ning Chen, "Novel Prony-based channel prediction methods for time-varying massive MIMO channels," IEEE VTC spring, 2024.
First job: Delta Electronics, Taipei, Taiwan
洪敏翔 (Min-Hsiang Hung), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: Polar decoding of subspace subcodes of Reed-Solomon codes
First job: MediaTek Inc., Hsinchu, Taiwan
吳亭余 (Ting-Yu Wu), Master of Science 2022
(co-advised with Prof. Po-Ning Chen)
Thesis: Early-elimination modification on sequential decoding of polar codes
First job: MediaTek Inc., Hsinchu, Taiwan
闕沛倫 (Pei-Luen Chueh), Master of Science 2021
(co-advised with Prof. Yu-Pin Hsu @NTPU)
Thesis: Iterative collision resolution for slotted ALOHA via reinforcement learning
First job: Unknow
鄭皓平(Hao-Ping Cheng), Master of Science 2019
Thesis: A novel random access technique for massive machine-type communications with heterogeneous users
Paper: [J1] Yu-Chih Huang, Shin-Lin Shieh, Yu-Pin Hsu, and Hao-Ping Cheng, “Iterative collision resolution for slotted ALOHA with NOMA for heterogeneous devices,” IEEE Trans. on Commun., vol. 69, no. 5, pp. 2948-2961, May 2021.
First job: MediaTek Inc., Hsinchu, Taiwan
何政勳 (Jeng-Shiun Ho), Master of Science 2018
Thesis: A study of scheduling algorithms for heterogeneous users in NOMA networks
Paper: [C1] Yu-Pin Hsu, Jeng-Shiun Ho, Yu-Chih Huang, and Shin-Lin Shieh, "Delay-optimal scheduling for heterogeneous users in NOMA networks," IEEE VTC fall, 2018.
Award: Winner, Poster competition @EASITC 2018
First job: University of California, Irvine, USA
Currently: Amazon.com Inc., Seattle, WA, USA