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Publication search results
found 86 matches
- 2024
- Chao-Lun Wu, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang:
Mobility-Aware Deep Reinforcement Learning With Seq2seq Mobility Prediction for Offloading and Allocation in Edge Computing. IEEE Trans. Mob. Comput. 23(6): 6803-6819 (2024) - Chia-Che Sa, Li-Chen Cheng, Hsing-Huan Chung, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Shang-Tse Chen:
Ensuring Bidirectional Privacy on Wireless Split Inference Systems. IEEE Wirel. Commun. 31(5): 134-141 (2024) - Kung-Hao Chang, Te-Chuan Chiu, Jang-Ping Sheu:
VISIT: Virtual-Targeted Sequential Training with Hierarchical Federated Learning on Non-IID Data. ICC 2024: 5455-5460 - Tzu-Hsuan Peng, Cheng-Wei Huang, Ai-Chun Pang, Te-Chuan Chiu:
Weak Devices Matter: Model Heterogeneity in Resource-Constrained Federated Learning. ICC 2024: 3274-3279 - Tuong Do, Binh X. Nguyen, Quang D. Tran, Hien Nguyen, Erman Tjiputra, Te-Chuan Chiu, Anh Nguyen:
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss. ICRA 2024: 2190-2196 - Yuhang Song, Mario Gianni, Chenguang Yang, Kunyang Lin, Te-Chuan Chiu, Anh Nguyen, Chun-Yi Lee:
Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization. CoRR abs/2411.14811 (2024) - 2023
- Chi-Yuan Lee, Chia-Hung Chen, Hsian-Chun Chuang, Hsiao-Te Hsieh, Yen-Chen Chiu:
Long-Acting Real-Time Microscopic Monitoring Inside the Proton Exchange Membrane Water Electrolyzer. Sensors 23(12): 5595 (2023) - Yuan-Yao Shih, Ai-Chun Pang, Tian He, Te-Chuan Chiu:
A Multi-Market Trading Framework for Low-Latency Service Provision at the Edge of Networks. IEEE Trans. Serv. Comput. 16(1): 27-39 (2023) - Ming-Hsuan Tsai, Wei-Sheng Syu, Te-Chuan Chiu, Sheng Chen, Chia-Che Sa, Yuan-Yao Shih, Ai-Chun Pang:
Metalens: Federated Meta-Learning Ensemble Using Flexible Classifiers on Non-IID Data. APNOMS 2023: 7-12 - Zih-Yi Yang, Te-Chuan Chiu, Jang-Ping Sheu:
Reinforcement Learning-Based Task Offloading of MEC-Assisted UAVs in Precision Agriculture. GLOBECOM 2023: 5587-5592 - Tzu-Hsuan Peng, Te-Chuan Chiu, Ai-Chun Pang, Wei-Chun Tail:
SynFMPL: A Federated Meta Pseudo Labeling Framework with Synergetic Strategy. ICC 2023: 1181-1187 - Ming-Chuan Chiu, Yu-Jui Huang:
Applying Hybrid Machine Learning Models to Assist Small and Medium Enterprises in Achieving Quality Prediction and Adaptive Digital Transformation: A Case Study of Injection Molding Industry. TE 2023: 423-432 - Ming-Chuan Chiu, Tsung-Yu Tseng, Chi-Chang Chang, Chun-Chia Chen:
Applying Deep Learning to Establish a Telemedicine Assistance System: A Case Study of the Stage Classification of Pressure Injuries. TE 2023: 433-442 - Pin-Rui Feng, Sheng-Po Hung, Yi-Husan Chen, Ming-Chuan Chiu, Zhe-Rui Bai:
Developing an Intelligent Warning System to Detect Unsafe Driving Behaviors. TE 2023: 463-472 - Pei-Yi Tai, Ming-Chuan Chiu, Chia-Jung Wei:
Developing a Green Supplier Risk Assessment System Applying Natural Language Processing and Life Cycle Assessment: An Empirical Study. TE 2023: 383-392 - Cheng-Zhou Tsai, Hau Huang, Chia-Jung Wei, Ming-Chuan Chiu:
Apply Deep Learning to Build a Personalized Attraction Recommendation System in a Smart Product Service System. TE 2023: 151-160 - Li-Sheng Yang, Ming-Chuan Chiu:
Integrating Deep Learning Models and Depth Cameras to Achieve Digital Transformation: A Case Study in Shoe Company. TE 2023: 811-820 - 2022
- Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Wei-Ho Chung:
Collaborative Energy Beamforming for Wireless Powered Fog Computing Networks. IEEE Trans. Wirel. Commun. 21(10): 7942-7956 (2022) - Yen-Cheng Chiu, Chia-Sheng Yang, Shih-Hsih Teng, Hsiao-Yu Huang, Fu-Chun Chang, Yuan Wu, Yu-An Chien, Fang-Ling Hsieh, Chung-Yuan Li, Guan-Yi Lin, Po-Jung Chen, Tsen-Hsiang Pan, Chung-Chuan Lo, Win-San Khwa, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Chieh-Pu Lo, Yu-Der Chih, Tsung-Yung Jonathan Chang, Meng-Fan Chang:
A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations. ISSCC 2022: 178-180 - 2021
- Ling-Yuan Chen, Te-Chuan Chiu, Ai-Chun Pang, Li-Chen Cheng:
FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning. GLOBECOM 2021: 1-6 - Te-Chuan Chiu, Wei-Che Lin, Ai-Chun Pang, Li-Chen Cheng:
Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning. GLOBECOM 2021: 1-6 - 2020
- Te-Chuan Chiu, Yuan-Yao Shih, Ai-Chun Pang, Chieh-Sheng Wang, Wei Weng, Chun-Ting Chou:
Semisupervised Distributed Learning With Non-IID Data for AIoT Service Platform. IEEE Internet Things J. 7(10): 9266-9277 (2020) - Chao-Lun Wu, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang:
Mobility-Aware Deep Reinforcement Learning with Glimpse Mobility Prediction in Edge Computing. ICC 2020: 1-7 - Ming-Da Tsai, Song-Yu Yang, Chi-Yao Yu, Ping-Yu Chen, Tzung-Han Wu, Mohammed Hassan, Chi-Tsan Chen, Chao-Wei Wang, Yen-Chuan Huang, Li-Han Hung, Wei-Hao Chiu, Anson Lin, Bo-Yu Lin, Arnaud Werquin, Chien-Cheng Lin, Yen-Horng Chen, Jen-Che Tsai, Yuan-Yu Fu, Bernard Tenbroek, Chinq-Shiun Chiu, Yi-Bin Lee, Guang-Kaai Dehng:
10.3 A 12nm CMOS RF Transceiver Supporting 4G/5G UL MIMO. ISSCC 2020: 176-178 - Ming-Da Tsai, Song-Yu Yang, Chi-Yao Yu, Ping-Yu Chen, Tzung-Han Wu, Mohammed Hassan, Chi-Tsan Chen, Chao-Wei Wang, Yen-Chuan Huang, Li-Han Huang, Wei-Hao Chiu, Anson Lin, Bo-Yu Lin, Arnaud Werquin, Chien-Cheng Lin, Yen-Horng Chen, Jen-Che Tsai, Yuan-Yu Fu, Bernard Tenbroek, Chinq-Shiun Chiu, Yi-Bin Lee, Guang-Kaai Dehng:
RFIC and RF Module for 5G Applications. VLSI-DAT 2020: 1-3 - 2019
- Te-Chuan Chiu, Ai-Chun Pang, Wei-Ho Chung, Junshan Zhang:
Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks. IEEE Trans. Serv. Comput. 12(5): 698-711 (2019) - Li-Chun Wang, Chuan-Chi Lai, Hong-Han Shuai, Hsin-Piao Lin, Chi-Yu Li, Teng-Hu Cheng, Chiun-Hsun Chen:
Communications and Networking Technologies for Intelligent Drone Cruisers. GLOBECOM Workshops 2019: 1-6 - Mehmet Dedeoglu, Te-Chuan Chiu, Junshan Zhang:
The Impact of Traffic Information Age on Congestion Mitigation. GLOBECOM 2019: 1-6 - Wan-Yun Lu, Ming-Chuan Chiu:
Apply Deep Learning Image Recognition Technique to Promote Green Consumer Behavior. TE 2019: 205-213 - Chien-De Tsai, Ming-Chuan Chiu:
Apply Machine Learning to Improve Fault Detection and Classification in Cyber Physical System. TE 2019: 519-529
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