Zhang, Junzhe

29 publications

ICML 2025 Automatic Reward Shaping from Confounded Offline Data Mingxuan Li, Junzhe Zhang, Elias Bareinboim

UAI 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation Junzhe Zhang, Elias Bareinboim

NeurIPS 2025 Confounding Robust Deep Reinforcement Learning: A Causal Approach Mingxuan Li, Junzhe Zhang, Elias Bareinboim

NeurIPS 2024 Causal Imitation for Markov Decision Processes: A Partial Identification Approach Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim

ICLR 2024 Causally Aligned Curriculum Learning Mingxuan Li, Junzhe Zhang, Elias Bareinboim

AAAI 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders Alexis Bellot, Junzhe Zhang, Elias Bareinboim

AAAI 2024 Towards Safe Policy Learning Under Partial Identifiability: A Causal Approach Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

ICLR 2023 Causal Imitation Learning via Inverse Reinforcement Learning Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim

ICCV 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy

CVPR 2023 Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai

CLeaR 2022 Can Humans Be Out of the Loop? Junzhe Zhang, Elias Bareinboim

ECCV 2022 ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang

ECCV 2022 Monocular 3D Object Reconstruction with GAN Inversion Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy

NeurIPS 2022 Online Reinforcement Learning for Mixed Policy Scopes Junzhe Zhang, Elias Bareinboim

ICML 2022 Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang, Jin Tian, Elias Bareinboim

NeurIPS 2021 Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

AAAI 2021 Bounding Causal Effects on Continuous Outcome Junzhe Zhang, Elias Bareinboim

ICCV 2021 CSG-Stump: A Learning Friendly CSG-like Representation for Interpretable Shape Parsing Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi

NeurIPS 2021 Sequential Causal Imitation Learning with Unobserved Confounders Daniel Kumor, Junzhe Zhang, Elias Bareinboim

CVPR 2021 Unsupervised 3D Shape Completion Through GAN Inversion Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy

CVPR 2021 Variational Relational Point Completion Network Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu

NeurIPS 2020 Causal Imitation Learning with Unobserved Confounders Junzhe Zhang, Daniel Kumor, Elias Bareinboim

ICML 2020 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach Junzhe Zhang

ECCV 2020 MessyTable: Instance Association in Multiple Camera Views Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy

NeurIPS 2019 Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes Junzhe Zhang, Elias Bareinboim

NeurIPS 2018 Equality of Opportunity in Classification: A Causal Approach Junzhe Zhang, Elias Bareinboim

AAAI 2018 Fairness in Decision-Making - The Causal Explanation Formula Junzhe Zhang, Elias Bareinboim

UAI 2018 Non-Parametric Path Analysis in Structural Causal Models Junzhe Zhang, Elias Bareinboim

IJCAI 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach Junzhe Zhang, Elias Bareinboim