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Yun-Hsuan Lien
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2020 – today
- 2024
- [c7]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]Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang:
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization. ICML 2023: 20939-20949 - [c5]Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang:
Contrastive Learning and Reward Smoothing for Deep Portfolio Management. IJCAI 2023: 3966-3974 - 2022
- [c4]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]Yun-Hsuan Lien, Yu-Syuan Lin, Yu-Shuen Wang:
Uncertainty Awareness for Predicting Noisy Stock Price Movements. ECML/PKDD (6) 2022: 154-169 - [c2]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]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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