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ORCIDFu-Chieh Chang 0001
Person information
- affiliation: National Taiwan University, Graduate Institute of Communication Engineering, Taipei, Taiwan
- affiliation: MediaTek Research, Taipei, Taiwan
Other persons with the same name
- Fu-Chieh Chang 0002 — National Taiwan University of Science and Technology, Department of Design, Taiwan
- Fu-Chieh Chang 0003
![[0009-0004-3393-9708]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0004-3393-9708")
— Insign Medical Technology (Hong Kong) Ltd., Hong Kong
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2020 – today
- 2024
[i7]Jia-Hau Bai, Chi-Ting Liu, Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu:
CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network. CoRR abs/2407.09550 (2024)- [i6]Yen-Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu:
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning. CoRR abs/2408.12307 (2024) - [i5]Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu:
RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues. CoRR abs/2409.12558 (2024) - 2023
- [j1]Tsung-Hsien Lin, Ying-Shuo Lee, Fu-Chieh Chang, J. Morris Chang, Pei-Yuan Wu:
Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques. IEEE Trans. Inf. Forensics Secur. 18: 1283-1294 (2023) - [c3]Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili:
Sample Complexity of Kernel-Based Q-Learning. AISTATS 2023: 453-469 - [i4]Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili:
Sample Complexity of Kernel-Based Q-Learning. CoRR abs/2302.00727 (2023) - 2022
- [c2]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:
Flexible chip placement via reinforcement learning: late breaking results. DAC 2022: 1392-1393 - [i3]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:
Flexible Multiple-Objective Reinforcement Learning for Chip Placement. CoRR abs/2204.06407 (2022)
2010 – 2019
- 2019
- [c1]Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang:
Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR 2019: 77-84 - [i2]Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang:
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR abs/1905.12313 (2019) - 2017
- [i1]Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang:
Representation Learning on Large and Small Data. CoRR abs/1707.09873 (2017)
Coauthor Index
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