Dr. Chiu has published more than 25 research papers in IEEE/ACM international conferences and journals.
Among these papers, journal papers were mainly published in highly-reputable international journals such as
IEEE TWC, IEEE TMC, IEEE TSC, IEEE IoT Journal, IEEE Network, etc. Besides, conference papers were published
in IEEE flagship conferences such as ACM/IEEE ICDCS, IEEE ICC, and IEEE GLOBECOM, etc.
Dr. Chiu has participated in many international academic and industrial projects for B5G/6G communications,
fog/edge computing, edge intelligence/AI. Dr. Chiu has joined several industrial projects with famous companies
such as Qualcomm, Intel and OmniEyes startup to realize his research in commercialized products.
Research Directions
Edge Intelligence/AI,
Artificial Intelligence of Things (AIoT)
Service Platform
1. Zih-Yi Yang, Te-Chuan Chiu, and Jang-Ping Sheu,
“Reinforcement Learning-based Task Offloading of MEC-assisted UAVs in Precision Agriculture,”
accepted and to appear in IEEE Global Communications Conference (GLOBECOM),
Kuala Lumpur, Malaysia, Dec. 2023.
2. Te-Chuan Chiu, Yuan-Yao Shih, Ai-Chun Pang, et al.,
“Semi-Supervised Distributed Learning with Non-IID Data for AIoT Service Platform,”
in IEEE Internet of Things Journal, Oct. 2020.
Edge Intelligence/AI,
Federated Learning (FL),
Privacy and Security
1. Ming-Hsuan Tsai, Wei-Sheng Syu, Te-Chuan Chiu, Sheng Chen, et al.,
“Metalens: Federated Meta-Learning Ensemble Using Flexible Classifiers on Non-IID Data,”
in IEEE Asia-Pacific Network Operations and Management Symposium (APNOMS), Sejong, Korea, Sep. 2023.
2. Tzu-Hsuan Peng, Te-Chuan Chiu, Ai-Chun Pang, and Wei-Chun Tai,
“SynFMPL: A Federated Meta Pseudo Labeling Framework with Synergetic Strategy,”
in IEEE International Conference on Communications (ICC), Rome, Italy, Jun. 2023.
3. Te-Chuan Chiu, Wei-Che Lin, Ai-Chun Pang, and Li-Chen Cheng,
“Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning,”
in IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec. 2021.
4. Ling-Yuan Chen, Te-Chuan Chiu, Ai-Chun Pang, and Li-Chen Cheng,
“FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning,”
in IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec. 2021.
Fog/Edge Computing,
Ultra-low Latency Service
1. Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang and Wei-Ho Chung,
“Collaborative Energy Beamforming for Wireless Powered Fog Computing Networks,”
in IEEE Transactions on Wireless Communications, Oct. 2022.
2022 Best Journal Paper Award from Taiwan Association of Cloud Computing(TACC)
2. Te-Chuan Chiu, Ai-Chun Pang, Wei-Ho Chung, and Junshan Zhang,
“Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks,”
in IEEE Transactions on Services Computing, Oct. 2019.
3. Ai-Chun Pang, Wei-Ho Chung, Te-Chuan Chiu, and Junshan Zhang,
“Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks,”
in IEEE International Conference on Distributed Computing Systems (ICDCS), 2017.
4. Yuan-Yao Shih, Wei-Ho Chung, Ai-Chun Pang, Te-Chuan Chiu, et al.,
“Enabling Low-Latency Applications in Fog-Radio Access Networks,”
in IEEE Network, Feb. 2017.
Fog/Edge Computing,
Mobility-aware Service
1. Chao-Lun Wu, Te-Chuan Chiu, Chih-Yu Wang, and Ai-Chun Pang,
“Mobility-Aware Deep Reinforcement Learning with Seq2seq Mobility Prediction for Offloading
and Allocation in Edge Computing,”
accepted and to appear in IEEE Transactions on Mobile Computing.
2. Chao-Lun Wu, Te-Chuan Chiu, Chih-Yu Wang, and Ai-Chun Pang,
“Mobility-Aware Deep Reinforcement Learning with Glimpse Mobility Prediction in Edge
Computing,” in IEEE International Conference on Communications (ICC), Virtual Conf., 2020.
3. Ya-Ju Yu, Te-Chuan Chiu, Ai-Chun Pang, Ming-Fan Chen et al.,
“Virtual Machine Placement for Backhaul Traffic Minimization in Fog Radio Access Networks,”
in IEEE International Conference on Communications (ICC), Paris, France, 2017.