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Yuewen Sun
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2020 – today
- 2025
- [j5]Shuo Xu, Jintao Fu
, Yuewen Sun
Deep Radon Prior: A fully unsupervised framework for sparse-view CT reconstruction. Comput. Biol. Medicine 189: 109853 (2025) - [j4]Yaxue Wang, Yuewen Sun, Xiaodong Cui, Tianyu Yun, Xianhai Bu, Fanlin Yang:
A Semisupervised Classification Method for Riverbed Benthic Sediments Using Integrated Superpixel Segmentation and Confident Learning Sample Enhancement. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 10957-10971 (2025) - [c8]Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang:
Causal Representation Learning from Multimodal Biomedical Observations. ICLR 2025 - [i8]Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies. CoRR abs/2503.16544 (2025) - [i7]Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. CoRR abs/2504.13904 (2025) - 2024
- [j3]Michael Anokye
Optimizing multi-classifier fusion for seabed sediment classification using machine learning. Int. J. Digit. Earth 17(1) (2024) - [c7]Yuewen Sun
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. AAAI 2024: 15193-15201 - [c6]Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang:
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. ICML 2024 - [c5]Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
On the Parameter Identifiability of Partially Observed Linear Causal Models. NeurIPS 2024 - [c4]Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. NeurIPS 2024 - [c3]Donghuo Zeng
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. PERSUASIVE 2024: 287-300 - [i6]Shuo Xu, Yucheng Zhang, Gang Chen, Xincheng Xiang, Peng Cong, Yuewen Sun:
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction. CoRR abs/2401.00135 (2024) - [i5]Guangyi Chen
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. CoRR abs/2401.14535 (2024) - [i4]Donghuo Zeng, Roberto Legaspi, Yuewen Sun
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR abs/2404.13792 (2024) - [i3]Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun
On the Parameter Identifiability of Partially Observed Linear Causal Models. CoRR abs/2407.16975 (2024) - [i2]Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang:
Causal Representation Learning from Multimodal Biological Observations. CoRR abs/2411.06518 (2024) - 2023
- [j2]Yuewen Sun
Model-Based Transfer Reinforcement Learning Based on Graphical Model Representations. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1035-1048 (2023) - 2022
- [c2]Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang:
Learning Temporally Causal Latent Processes from General Temporal Data. ICLR 2022 - 2021
- [j1]Changyin Sun
A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3578-3587 (2021) - [i1]Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang:
Learning Temporally Causal Latent Processes from General Temporal Data. CoRR abs/2110.05428 (2021)
2010 – 2019
- 2018
- [c1]Wenzhang Liu, Haiqin Yang
A Broad Neural Network Structure for Class Incremental Learning. ISNN 2018: 229-238
Coauthor Index
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