Group Members

Leader

Yu-Chih (Jerry) Huang  

Professor @ Institute of Communications, National Yang Ming Chiao Tung University, 08/2023~present

Associate Professor @ Institute of Communications, National Yang Ming Chiao Tung University, 02/2020~07/2023

Associate Professor @ Department of Communication, National Taipei University, 02/2018~01/2020

Assistant Professor @ Department of Communication, National Taipei University, 02/2015~01/2018

Personal website: https://sites.google.com/site/ycjerryhuang/

(You may find his bio, full publication list, etc. on his personal website)

Postdoctoral research associate 

李文玄 (Wen-Hsuan Li) 

Ph. D., National Chiao Tung University, 2020

Advisor: Prof. Jwo-Yuh Wu

Paper: 

[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 students

林謙盈 (Chien-Ying Lin) 

(co-advised with Prof. Po-Ning Chen)

Research topic: Polar codes

Paper: 

[J1] Chien-Ying Lin, Yu-Chih Huang, Shin-Lin Shieh, and Po-Ning Chen, “Transformation of binary linear block codes to polar codes with dynamic frozen,” IEEE OJ-COMS, vol. 1, 2020. (IEEEXplore) 

Highlight: 


林冠宇 (Kuan-Yu Lin)

Research topic: AoI, AI/ML, 6G communications

Paper: 

[J1] Kuan-Yu Lin, Yu-Chih Huang, and Yu-Pin Hsu, “Scheduling for periodic multi-source systems with peak-age violation guarantees,” IEEE Trans. on Commun., vol. 71, no. 12, pp. 7102-7116, Dec. 2023. (arXiv) (IEEEXplore) 

[J2] 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. (IEEEXplore) 

[C1] Kuan-Yu Lin, Hsuan-Yin Lin, Yu-Pin Hsu, and Yu-Chih Huang, "Age aware scheduling for differentially-private federated learning," IEEE ISIT, 2024.


胡安曼 (Aamer Mohamed Huroon)

(co-advised with Prof. Li-Chun Wang)

Research topic: RIS, UAV

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., accepted, 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.


陳泰勳

(co-advised with Prof. Shin-Lin Shieh @NTPU)

Research topic: Channel coding

Paper:


劉晉瑋 (Industry Sponsored Ph. D.: Hon Lin Technology Co., Ltd.)

(co-advised with Prof. Po-Ning Chen)

Research topic:  NTN

Paper:


李冠達 (Kuan-Ta Li)

Research topic: Multi-arm bandit

Paper:


艾德文 (Eduin E. Hernandez)

(co-advised with Prof. Stefano Rini)

Research topic: Machine learning

Paper: 

[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.

Visiting Ph. D. 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: 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: Apple Inc., San Diego , CA, USA

Master students

顏睿群

Research topic:  OTFS

吳宇杰 (Industry Sponsored Student: Wistron NeWeb Corp.) 

Research topic: RIS

張晏清

Research topic: RIS

陳冠達

Research topic: IRSA

簡珩安

Research topic: IRSA

高傳傑

Research topic: Machine learning

陳冠勳

Research topic: Machine learning

林家均

Research topic: Non-stationary bandit

余主恩

Research topic: Rate-distortion-perception tradeoff

吳居容

Research topic: Channel coding

陳子晴

Research topic: QCD

郭俊毅

Research topic: ISAC

李允涵

Research topic: Heterogeneous NOMA

洪世承

Research topic: Heterogeneous NOMA

陳映中

Research topic: Heterogeneous NOMA

王政凱

Research topic: QCD

李志軒

Research topic: QCD

唐仕軒

Research topic: RIS

吳秉衡

Research topic: RIS

王鼎元

Research topic: IRSA

鄭濬緯

Research topic: Channel coding

劉子晴

Research topic: Non-stationary bandit

Alumni

林荺城 (Yun-Cheng Lin), Master of Science 2024

Thesis: A novel MIMO precoder prediction method based on geodesic regression on Grassmannian manifolds


郭昱宏 (Yu-Hung Kuo), Master of Science 2024 

Thesis: A study on machine learning-based channel prediction in MIMO systems


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


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

Paper: 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: 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: 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: 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: 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: 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: 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


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: 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: 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