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Chen-Hao Chao
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2020 – today
- 2024
- [j2]Sheng-Kai Wang, Shang-Pin Ma
, Guan-Hong Lai, Chen-Hao Chao:
ChatOps for microservice systems: A low-code approach using service composition and large language models. Future Gener. Comput. Syst. 161: 518-530 (2024) - [c8]Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee:
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. NeurIPS 2024 - [i7]Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee:
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. CoRR abs/2405.13629 (2024) - [i6]I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee:
Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering. CoRR abs/2410.08589 (2024) - 2023
- [j1]Chen-Hao Chao
Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12707-12713 (2023) - [c7]Bo-Wun Cheng, En-Ming Huang
COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU. ASP-DAC 2023: 314-319 - [c6]Sheng-Kai Wang, Shang-Pin Ma, Chen-Hao Chao, Guan-Hong Lai:
Low-code ChatOps for Microservices Systems Using Service Composition. ICEBE 2023: 55-62 - [c5]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee:
On Investigating the Conservative Property of Score-Based Generative Models. ICML 2023: 4076-4095 - [c4]Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee:
Training Energy-Based Normalizing Flow with Score-Matching Objectives. NeurIPS 2023 - [i5]Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee:
Training Energy-Based Normalizing Flow with Score-Matching Objectives. CoRR abs/2305.15267 (2023) - 2022
- [c3]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Chen-Hao Chao, Bo-Wun Cheng, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. BMVC 2022: 108 - [c2]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. ICLR 2022 - [i4]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. CoRR abs/2203.14206 (2022) - [i3]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee:
Quasi-Conservative Score-based Generative Models. CoRR abs/2209.12753 (2022) - [i2]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. CoRR abs/2211.08888 (2022) - 2021
- [c1]Chen-Hao Chao, Bo-Wun Cheng, Chun-Yi Lee:
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption. CVPR Workshops 2021: 2610-2620 - [i1]Chen-Hao Chao, Bo-Wun Cheng, Chun-Yi Lee:
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation. CoRR abs/2104.14203 (2021)
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