| 2026 | ICPR | Fine-Grained Alignment in Vision-and-Language Navigation Through Bayesian Optimization. | Yuhang Song, Mario Gianni, Chenguang Yang, Kunyang Lin, Te-Chuan Chiu, Anh Nguyen, Chun-Yi Lee |
| 2026 | ICPR | Dynamic Context Adapters: Efficiently Infusing History into Vision-and-Language Models. | Yuhang Song, Bor-Jiun Lin, Jiaxu Liu, Te-Chuan Chiu, Anh Nguyen, Chun-Yi Lee |
| 2026 | WCNC | AdaptHFL: A Dual-Level Adaptive Optimization Framework for Hierarchical Federated Learning. | Pi-Yu Yi, Te-Chuan Chiu, Jang-Ping Sheu |
| 2025 | GLOBECOM | D2D-Assisted Split Learning Approach for Model-Heterogeneous Federated Learning. | Ping-Chien Chang, Te-Chuan Chiu, Hsiang-Ting Huang |
| 2025 | GLOBECOM | HUnited Split Federated Learning with Evolutionary Game Approach. | Hsiang-Ting Huang, Te-Chuan Chiu |
| 2025 | GLOBECOM | Relation-Aware Knowledge Graph BERT Semantic Communication. | Cheng-Yan Liu, Te-Chuan Chiu |
| 2025 | GLOBECOM | Fusion-Aware Unified Semantic Communication for Multimodal AIoT Service. | Cheng-Yan Liu, Te-Chuan Chiu, Yi-Xiang Huang |
| 2025 | ICRA | 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 |
| 2025 | IROS | Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving. | Tuong Do, Binh X. Nguyen, Quang D. Tran, Erman Tjiputra, Te-Chuan Chiu, Anh Nguyen |
| 2025 | WCNC | Latency-Aware Heterogeneous Resource Allocation and Rendering Task Offloading for Metaverse. | Pham Ngoc Hoa, Te-Chuan Chiu |
| 2024 | ICRA | 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 |
| 2023 | APNOMS | 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 |
| 2023 | GLOBECOM | Reinforcement Learning-Based Task Offloading of MEC-Assisted UAVs in Precision Agriculture. | Zih-Yi Yang, Te-Chuan Chiu, Jang-Ping Sheu |
| 2021 | GLOBECOM | FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning. | Ling-Yuan Chen, Te-Chuan Chiu, Ai-Chun Pang, Li-Chen Cheng |
| 2021 | GLOBECOM | Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning. | Te-Chuan Chiu, Wei-Che Lin, Ai-Chun Pang, Li-Chen Cheng |
| 2019 | GLOBECOM | The Impact of Traffic Information Age on Congestion Mitigation. | Mehmet Dedeoglu, Te-Chuan Chiu, Junshan Zhang |
| 2017 | ICDCS | Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks. | Ai-Chun Pang, Wei-Ho Chung, Te-Chuan Chiu, Junshan Zhang |
| 2016 | PIMRC | 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 |
| 2014 | GLOBECOM | Mobile small cell deployment for next generation cellular networks. | Shih-Fan Chou, Te-Chuan Chiu, Ya-Ju Yu, Ai-Chun Pang |
| 2012 | APNOMS | Mobility-aware charger deployment for wireless rechargeable sensor networks. | Te-Chuan Chiu, Yuan-Yao Shih, Ai-Chun Pang, Jeu-Yih Jeng, Pi-Cheng Hsiu |