Dr. Chiu has published more than 36 research papers in IEEE/ACM international conferences and journals. Among these papers, journal papers were mainly published in impactful Q1 journals such as IEEE TWC, IEEE TMC, IEEE IoT Journal, IEEE TSC, IEEE Network, IEEE WCM. Moreover, conference papers were published at IEEE flagship conferences (e.g., IEEE ICDCS, IEEE CVPR, IEEE ICC, IEEE GLOBECOM, IEEE ICRA, IEEE IROS, IEEE ICPR, 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, Delta and OmniEyes startup to realize his research in commercialized products.
Research Directions
2. Zih-Yi Yang, Te-Chuan Chiu, and Jang-Ping Sheu,
“Reinforcement Learning-based Task Offloading of MEC-assisted UAVs in Precision Agriculture,”
in IEEE Global Communications Conference (GLOBECOM),
Kuala Lumpur, Malaysia, Dec. 2023.
3. 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,
Privacy-aware Service
1. Hsiang-Ting Huang, Te-Chuan Chiu,
“United Split Federated Learning with Evolutionary Game Approach,”
in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2025.
2. Ping-Chien Chang, Te-Chuan Chiu, and Hsiang-Ting Huang,
“D2D-Assisted Split Learning Approach for Model-Heterogeneous Federated Learning,”
in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2025.
3. Kung-Hao Chang, Te-Chuan Chiu, and Jang-Ping Sheu,
“VISIT: Virtual-Targeted Sequential Training with Hierarchical Federated Learning on Non-IID Data,”
in IEEE International Conference on Communications (ICC), Denver, USA, Jun. 2024.
4. 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.
Edge Intelligence/AI,
Mobility-driven Service
1. Tuong Do, Binh Nguyen, Quang Tran, Erman Tjiputra, Te-Chuan Chiu*, and Anh Nguyen*,
“Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving,”
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, Oct. 2025.
2. Tuong Do, Binh Nguyen, Quang Tran, Hien Nguyen, Erman Tjiputra, Te-Chuan Chiu*, and Anh Nguyen*,
“Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss,”
in IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, May. 2024.
3. 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,”
in IEEE Transactions on Mobile Computing, Jun. 2024.
4. 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.
Fog/Edge Computing,
Ultra-low Latency Service
1. Ngoc Hoa Pham, Te-Chuan Chiu,
“Latency-Aware Heterogeneous Resource Allocation and Rendering Task Offloading for Metaverse,”
in IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, Mar. 2025.
2. 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)
3. 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.
4. 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.