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2024
[c7]
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  dblp key:
  - conf/icml/LienHLW24
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  - https://dblp.org/rec/conf/icml/LienHLW24
Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang:
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning. ICML 2024
2023
[c6]
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  - conf/icml/LienHW23
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Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang:
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization. ICML 2023: 20939-20949
[c5]
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  - conf/ijcai/LienLW23
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Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang:
Contrastive Learning and Reward Smoothing for Deep Portfolio Management. IJCAI 2023: 3966-3974
2022
[c4]
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  - conf/cvpr/LiLW22
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Yuan-kui Li, Yun-Hsuan Lien, Yu-Shuen Wang:
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization. CVPR 2022: 11234-11243
[c3]
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  - conf/pkdd/LienLW22
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Yun-Hsuan Lien, Yu-Syuan Lin, Yu-Shuen Wang:
Uncertainty Awareness for Predicting Noisy Stock Price Movements. ECML/PKDD (6) 2022: 154-169
[c2]
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  - conf/visualization/LaiKLSW22
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  - https://dblp.org/rec/conf/visualization/LaiKLSW22
Chien-Hsun Lai, Ming Feng Kuo, Yun-Hsuan Lien, Kuan-An Su, Yu-Shuen Wang:
Parametric Dimension Reduction by Preserving Local Structure. IEEE VIS (Short Papers) 2022: 75-79
2020
[c1]
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  - conf/apvis/ChenLLLWM20
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Ding-Bang Chen, Chien-Hsun Lai, Yun-Hsuan Lien, Yu-Hsuan Lin, Yu-Shuen Wang, Kwan-Liu Ma:
Representing Multivariate Data by Optimal Colors to Uncover Events of Interest in Time Series Data. PacificVis 2020: 156-165

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