論文與著作

Hao Tieng, Tsung-Han Tsai, Chun-Fang Chen, Haw-Ching Yang, Jhih-Wei Huang, Fan-Tien Cheng, “Automatic virtual metrology and deformation fusion scheme for engine-case manufacturing,” IEEE Robotics and Automation Letters, vol. 3, no. 2, pp. 934-941, January 2018, doi: 10.1109/LRA.2018.2792690.

Haw-Ching Yang*, Tsung-Han Tsai, Hao Tieng, and Fan-Tien Cheng, “A Gradual Refreshing Scheme for Improving Tool Utilization,” IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 515-522, April 2019, doi: 10.1109/LRA.2019.2891500.

Min-Hsiung Hung, Yu-Chuan Lin, Hung-Chang Hsiao, Chao-Chun Chen, Kuan-Chou Lai, Yu-Ming Hsieh, Hao Tieng, Tsung-Han Tsai, Hsien-Cheng Huang, Haw-Ching Yang, Fan-Tien Cheng, “A novel implementation framework of digital twins for intelligent manufacturing based on container technology and cloud manufacturing services,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1614-1630, January 2022, doi: 10.1109/TASE.2022.3143832.

Hao Tieng, Ting-Chia Ou, Tsung-Han Tsai, Yu-Yong Li, Min-Hsiung Hung, Fan-Tien Cheng, “I4. 2-GiM: A Novel Green Intelligent Manufacturing Framework for Net Zero,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 18030-18050, December 2023, doi: 10.1109/TASE.2023.3340149. 

Tsung-Han Tsai, Bing Yan*, Peter Luh, Haw-Ching Yang, Mikhail Bragin, and Fan- Tien Cheng, “Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices,” IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3878-3885, April 2024, doi: 10.1109/LRA.2023.3265594.

Ting-Chia Ou, Hao Tieng, Tsung-Han Tsai, Yu-Yong Li, Min-Hsiung Hung, and Fan-Tien Cheng, “Design of Green Power Clouds for Intelligent Virtual Power Plants,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 18051-18062, June 2024, doi: 10.1109/TASE.2024.3406412. 

Chin-Yi Lin, Tsung-Han Tsai, and Tzu-Liang Tseng, “Generative AI for Intelligent Manufacturing Virtual Assistants in the Semiconductor Industry,”  IEEE Robotics and Automation Letters, vol. 10, no. 4, pp. 4132-4139, February 2025, doi: 10.1109/LRA.2025.3544506.

Chin-Yi Lin, Tzu-Liang Tseng, and Tsung-Han Tsai, “A Digital Twin Framework with Bayesian Optimization and Deep Learning for Semiconductor Process Control,” IEEE Access, vol. 13, pp. 50821-50837, March 2025, doi: 10.1109/ACCESS.2025.3551332.

Chin-Yi Lin, Tzu-Liang Tseng, and Tsung-Han Tsai, “A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturing,” IEEE Access, vol. 13, pp. 84380-84398, May 2025, doi: 10.1109/ACCESS.2025.3568002.

Chin-Yi Lin, Tzu-Liang Tseng, Solayman Hossain Emon, and Tsung-Han Tsai, “Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 15351-15370, May 2025, doi: 10.1109/TASE.2025.3568010.

Chin-Yi Lin, Tzu-Liang Tseng, Solayman Hossain Emon, and Tsung-Han Tsai, “Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models,” IEEE Transactions on Semiconductor Manufacturing, vol. 38, issue 3, pp. 642-658, May 2025, doi: 10.1109/TSM.2025.3569229.

Chin-Yi Lin, Tzu-Liang Tseng, and Tsung-Han Tsai, “A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing,” Appl. Sci., 15(12), June 2025, doi: 10.3390/app15126500.