Fu-Chieh Chang

20 papers A* 1A 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SpecLoop: An Agentic RTL-to-Specification Framework with Formal Verification Feedback Loop. CoRR Fu-Chieh Chang, Yu-Hsin Yang, Hung-Ming Huang, Yun-Chia Hsu, Yin-Yu Lin, Ming-Fang Tsai, Chun-Chih Yang, Pei-Yuan Wu
2025	J	`jnl`	An Explanation of Intrinsic Self-Correction via Linear Representations and Latent Concepts. CoRR Yu-Ting Lee, Hui-Ying Shih, Fu-Chieh Chang, Pei-Yuan Wu
2025	J	`jnl`	Assessing Large Language Models in Generating RTL Design Specifications. CoRR Hung-Ming Huang, Yu-Hsin Yang, Fu-Chieh Chang, Yun-Chia Hsu, Yin-Yu Lin, Ming-Fang Tsai, Chun-Chih Yang, Pei-Yuan Wu
2025	J	`jnl`	Chain-of-Thought Prompting for Out-of-Distribution Samples: A Latent-Variable Study. CoRR Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu
2025	J	`jnl`	Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning. Trans. Mach. Learn. Res. Yen-Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu
2025	—	`conf`	RAD-Bench: Evaluating Large Language Models' Capabilities in Retrieval Augmented Dialogues. NAACL (Industry Track) Tzu-Lin Kuo, Fengting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu
2025	J	`jnl`	Unveiling the Latent Directions of Reflection in Large Language Models. CoRR Fu-Chieh Chang, Yu-Ting Lee, Pei-Yuan Wu
2024	J	`jnl`	CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network. CoRR Jia-Hau Bai, Chi-Ting Liu, Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu
2024	J	`jnl`	Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning. CoRR Yen-Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu
2024	J	`jnl`	RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues. CoRR Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu
2024	J	`jnl`	RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner. CoRR Fu-Chieh Chang, Yu-Ting Lee, Hui-Ying Shih, Pei-Yuan Wu
2024	J	`jnl`	Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures. CoRR Fu-Chieh Chang, Pei-Yuan Wu
2023	J	`jnl`	Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques. IEEE Trans. Inf. Forensics Secur. Tsung-Hsien Lin, Ying-Shuo Lee, Fu-Chieh Chang, J. Morris Chang, Pei-Yuan Wu
2023	A	`conf`	Sample Complexity of Kernel-Based Q-Learning. AISTATS Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
2023	J	`jnl`	Sample Complexity of Kernel-Based Q-Learning. CoRR Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
2022	J	`jnl`	Flexible Multiple-Objective Reinforcement Learning for Chip Placement. CoRR 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
2022	A*	`conf`	Flexible chip placement via reinforcement learning: late breaking results. DAC 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
2019	J	`jnl`	G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang
2019	—	`conf`	Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang
2017	J	`jnl`	Representation Learning on Large and Small Data. CoRR Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang