Decision-Making Under Uncertainty

Publications

[RL] Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning.

Ziyu Wang, Ping-Chun Hsieh,  Yu-Shuen Wang, Yun-Hsuan Lien.

Asian Conference on Machine Learning, ACML 2025.

[PDF] 

[RL] Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning.

Yun-Hsuan Lien, Ping-Chun Hsieh,  Tzu-Mao Li, Yu-Shuen Wang.

International Conference on Machine Learning(ICML) 2024.

[PDF] 

[GenAI] ShuttleFlow: Learning the Distribution of Subsequent Badminton Shots using Normalizing Flows.

Yun-Hsuan Lien, Chia-Tung Lian,  Yu-Shuen Wang.

Machine Learning Journal. Springer Nature (Special Issue for Asian Conference on Machine Learning, ACML)  2024.

[PDF] 

[GenAI] Let the Noise Flow Away: Combating Noisy Labels using Normalizing Flows.

Kuan-An Su, YiHao Su, Yun-Hsuan Lien,  Yu-Shuen Wang.

Machine Learning Journal. Springer Nature (Special Issue for Asian Conference on Machine Learning, ACML)  2024.

[PDF] 

[RL] Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization.

Yun-Hsuan Lien, Ping-Chun Hsieh,  Yu-Shuen Wang.

International Conference on Machine Learning(ICML) 2023.

[PDF] 

[RL] [FinTech] Contrastive Learning and Reward Smoothing for Deep Portfolio Management. 

Yun-Hsuan Lien, Yuan-Kui Li,  Yu-Shuen Wang.

International Joint Conference on Artificial Intelligence(IJCAI) 2023.

[PDF] 

[GenAI] Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization.

Yuan-Kui Li, Yun-Hsuan Lien, Yu-Shuen Wang. 

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022. 

[PDF] 

[FinTech] Uncertainty Awareness for Predicting Noisy Stock Price Movements.  

Yun-Hsuan Lien, Yu-Syuan Lin , Yu-Shuen Wang. 

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2022.

 [PDF] 

[GenAI] Parametric Dimension Reduction by Preserving Local Structure.  

Chien-Hsun Lai, Ming-Feng Kuo, Yun-Hsuan Lien, Kuan-An Su, Yu-Shuen Wang. 

IEEE VIS 2022 (short paper).

[PDF] 

[FinTech] Representing Multivariate Data by Optimal Colors to Uncover Events of Interest in Time Series Data. 

Ding-Bang Chen, Chien-Hsun Lai, Yun-Hsuan Lien, Yu-Hsuan Lin, Yu-Shuen Wang, Kwan-Liu Ma. 

PacificVis 2020.

[PDF] 

[FinTech] CDS投資價值分析. 

Yun-Hsuan Lien. 

台北外匯市場發展基金會委託計畫 2016.

[FinTech] MBS持有報酬率分析. 

Lan-chih Ho, Yun-Hsuan Lien. 

台北外匯市場發展基金會委託計畫 2014.