Yuewen Sun

27 papers A* 6A 1B 2C 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
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.
Yaxue Wang, Yuewen Sun, Xiaodong Cui, Tianyu Yun, Xianhai Bu, Fanlin Yang
2025 J jnl
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality.
CoRR
Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang
2025 — conf
CADRE: Contour-Guided ADMM-Optimized Deep Radon Enhancement for Unsupervised CT Reconstruction from Incomplete Data.
BIBM
Jintao Fu, Tianchen Zeng, Yuewen Sun, Peng Cong
2025 J jnl
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 A* conf
Causal Representation Learning from Multimodal Biomedical Observations.
ICLR
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
2025 J jnl
Deep Radon Prior: A fully unsupervised framework for sparse-view CT reconstruction.
Comput. Biol. Medicine
Shuo Xu, Jintao Fu, Yuewen Sun, Peng Cong, Xincheng Xiang
2025 A conf
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge.
UMAP
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 J jnl
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 B conf
Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information.
CogSci
Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 J jnl
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits.
CoRR
Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang
2025 J jnl
Towards Identifiability of Hierarchical Temporal Causal Representation Learning.
CoRR
Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
2024 A* conf
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation.
AAAI
Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang
2024 A* conf
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.
ICML
Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024 J jnl
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.
CoRR
Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024 J jnl
Causal Representation Learning from Multimodal Biological Observations.
CoRR
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
2024 B conf
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
PERSUASIVE
Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 J jnl
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 J jnl
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction.
CoRR
Shuo Xu, Yucheng Zhang, Gang Chen, Xincheng Xiang, Peng Cong, Yuewen Sun
2024 A* conf
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning.
NeurIPS
Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 A* conf
On the Parameter Identifiability of Partially Observed Linear Causal Models.
NeurIPS
Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 J jnl
On the Parameter Identifiability of Partially Observed Linear Causal Models.
CoRR
Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 J jnl
Optimizing multi-classifier fusion for seabed sediment classification using machine learning.
Int. J. Digit. Earth
Michael Anokye, Xiaodong Cui, Fanlin Yang, Ping Wang, Yuewen Sun, Hadong Ma, Emmanuel Oduro Amoako
2023 J jnl
Model-Based Transfer Reinforcement Learning Based on Graphical Model Representations.
IEEE Trans. Neural Networks Learn. Syst.
Yuewen Sun, Kun Zhang, Changyin Sun
2022 A* conf
Learning Temporally Causal Latent Processes from General Temporal Data.
ICLR
Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
2021 J jnl
A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning.
IEEE Trans. Neural Networks Learn. Syst.
Changyin Sun, Xiaofeng Li, Yuewen Sun
2021 J jnl
Learning Temporally Causal Latent Processes from General Temporal Data.
CoRR
Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
2018 C conf
A Broad Neural Network Structure for Class Incremental Learning.
ISNN
Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun