Fu-Chieh Chang

According to our database, Fu-Chieh Chang authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures.

Fu-Chieh Chang, Pei-Yuan Wu

CoRR, 2024

RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner.

Fu-Chieh Chang, Yu-Ting Lee, Hui-Ying Shih, Pei-Yuan Wu

CoRR, 2024

RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues.

Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu

CoRR, 2024

Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning.

Yen-Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu

CoRR, 2024

CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network.

Jia-Hau Bai, Chi-Ting Liu, Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu

CoRR, 2024

2023

Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques.

Tsung-Hsien Lin, Ying-Shuo Lee, Fu-Chieh Chang, J. Morris Chang, Pei-Yuan Wu

IEEE Trans. Inf. Forensics Secur., 2023

Sample Complexity of Kernel-Based Q-Learning.

Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Flexible Multiple-Objective Reinforcement Learning for Chip Placement.

Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu, Ssu-Rui Lee, Alexandru Cioba, I-Lun Tseng, Da-Shan Shiu, Jhih-Wei Hsu, Cheng-Yuan Wang, Chien-Yi Yang, Ren-Chu Wang, Yao-Wen Chang, Tai-Chen Chen, Tung-Chieh Chen

CoRR, 2022

Flexible chip placement via reinforcement learning: late breaking results.

Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu, Ssu-Rui Lee, Alexandru Cioba, I-Lun Tseng, Da-Shan Shiu, Jhih-Wei Hsu, Cheng-Yuan Wang, Chien-Yi Yang, Ren-Chu Wang, Yao-Wen Chang, Tai-Chen Chen, Tung-Chieh Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2019

G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data.

Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang

CoRR, 2019

Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses.

Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

2017

Representation Learning on Large and Small Data.

Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang

CoRR, 2017