Mobility-aware charger deployment for wireless rechargeable sensor networks. - Te-Chuan Chiu; Yuan-Yao Shih; Ai-Chun Pang; Jeu-Yih Jeng; Pi-Cheng Hsiu (APNOMS, 2012)

Mobile small cell deployment for next generation cellular networks. - Shih-Fan Chou; Te-Chuan Chiu; Ya-Ju Yu; Ai-Chun Pang (GLOBECOM, 2014)

Optimal day-ahead pricing with renewable energy for smart grid. - Te-Chuan Chiu; Che-Wei Pai; Yuan-Yao Shih; Ai-Chun Pang (ICC Workshops, 2014)

Profit-aware base station operation for green cellular networks. - Te-Chuan Chiu; Ya-Ju Yu; Ai-Chun Pang; Tei-Wei Kuo (ICC, 2014)

Ultra-low latency service provision in 5G Fog-Radio Access Networks. - Te-Chuan Chiu; Wei-Ho Chung; Ai-Chun Pang; Ya-Ju Yu; Pei-Hsuan Yen (PIMRC, 2016)

Privacy-preserving of platoon-based V2V in collaborative edge: poster abstract. - Te-Chuan Chiu; Junshan Zhang; Ai-Chun Pang (SEC, 2017)

Virtual machine placement for backhaul traffic minimization in fog radio access networks. - Ya-Ju Yu; Te-Chuan Chiu; Ai-Chun Pang; Ming-Fan Chen; Jiajia Liu 001 (ICC, 2017)

Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks. - Ai-Chun Pang; Wei-Ho Chung; Te-Chuan Chiu; Junshan Zhang (ICDCS, 2017)

Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids. - Te-Chuan Chiu; Yuan-Yao Shih; Ai-Chun Pang; Che-Wei Pai (IEEE Internet Things J., 2017)

Enabling Low-Latency Applications in Fog-Radio Access Networks. - Yuan-Yao Shih; Wei-Ho Chung; Ai-Chun Pang; Te-Chuan Chiu; Hung-Yu Wei 001 (IEEE Netw., 2017)

The Impact of Traffic Information Age on Congestion Mitigation. - Mehmet Dedeoglu; Te-Chuan Chiu; Junshan Zhang (GLOBECOM, 2019)

Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks. - Te-Chuan Chiu; Ai-Chun Pang; Wei-Ho Chung; Junshan Zhang (IEEE Trans. Serv. Comput., 2019)

Mobility-Aware Deep Reinforcement Learning with Glimpse Mobility Prediction in Edge Computing. - Chao-Lun Wu; Te-Chuan Chiu; Chih-Yu Wang 001; Ai-Chun Pang (ICC, 2020)

Semisupervised Distributed Learning With Non-IID Data for AIoT Service Platform. - Te-Chuan Chiu; Yuan-Yao Shih; Ai-Chun Pang; Chieh-Sheng Wang; Wei Weng 004; Chun-Ting Chou (IEEE Internet Things J., 2020)

FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning. - Ling-Yuan Chen; Te-Chuan Chiu; Ai-Chun Pang; Li-Chen Cheng (GLOBECOM, 2021)

Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning. - Te-Chuan Chiu; Wei-Che Lin; Ai-Chun Pang; Li-Chen Cheng (GLOBECOM, 2021)

Collaborative Energy Beamforming for Wireless Powered Fog Computing Networks. - Te-Chuan Chiu; Chih-Yu Wang 001; Ai-Chun Pang; Wei-Ho Chung (IEEE Trans. Wirel. Commun., 2022)

Metalens: Federated Meta-Learning Ensemble Using Flexible Classifiers on Non-IID Data. - Ming-Hsuan Tsai; Wei-Sheng Syu; Te-Chuan Chiu; Sheng Chen; Chia-Che Sa; Yuan-Yao Shih; Ai-Chun Pang (APNOMS, 2023)

Reinforcement Learning-Based Task Offloading of MEC-Assisted UAVs in Precision Agriculture. - Zih-Yi Yang; Te-Chuan Chiu; Jang-Ping Sheu (GLOBECOM, 2023)

SynFMPL: A Federated Meta Pseudo Labeling Framework with Synergetic Strategy. - Tzu-Hsuan Peng; Te-Chuan Chiu; Ai-Chun Pang; Wei-Chun Tail (ICC, 2023)

A Multi-Market Trading Framework for Low-Latency Service Provision at the Edge of Networks. - Yuan-Yao Shih; Ai-Chun Pang; Tian He 001; Te-Chuan Chiu (IEEE Trans. Serv. Comput., 2023)

VISIT: Virtual-Targeted Sequential Training with Hierarchical Federated Learning on Non-IID Data. - Kung-Hao Chang; Te-Chuan Chiu; Jang-Ping Sheu (ICC, 2024)

Weak Devices Matter: Model Heterogeneity in Resource-Constrained Federated Learning. - Tzu-Hsuan Peng; Cheng-Wei Huang; Ai-Chun Pang; Te-Chuan Chiu (ICC, 2024)

Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss. - Tuong Do; Binh X. Nguyen; Quang D. Tran; Hien Nguyen; Erman Tjiputra; Te-Chuan Chiu; Anh Nguyen 003 (ICRA, 2024)

Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization. - Yuhang Song 008; Mario Gianni; Chenguang Yang 001; Kunyang Lin; Te-Chuan Chiu; Anh Nguyen 003; Chun-Yi Lee (CoRR, 2024)

Mobility-Aware Deep Reinforcement Learning With Seq2seq Mobility Prediction for Offloading and Allocation in Edge Computing. - Chao-Lun Wu; Te-Chuan Chiu; Chih-Yu Wang 001; Ai-Chun Pang (IEEE Trans. Mob. Comput., 2024)

Ensuring Bidirectional Privacy on Wireless Split Inference Systems. - Chia-Che Sa; Li-Chen Cheng; Hsing-Huan Chung; Te-Chuan Chiu; Chih-Yu Wang 001; Ai-Chun Pang; Shang-Tse Chen (IEEE Wirel. Commun., 2024)

Latency-Aware Heterogeneous Resource Allocation and Rendering Task Offloading for Metaverse. - Pham Ngoc Hoa; Te-Chuan Chiu (WCNC, 2025)

FedEFM: Federated Endovascular Foundation Model with Unseen Data. - Tuong Do; Nghia Vu; Tudor Jianu; Baoru Huang; Minh Vu; Jionglong Su; Erman Tjiputra; Quang D. Tran; Te-Chuan Chiu; Anh Nguyen 003 (CoRR, 2025)

Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving. - Tuong Do; Binh X. Nguyen; Quang D. Tran; Erman Tjiputra; Te-Chuan Chiu; Anh Nguyen 003 (CoRR, 2025)