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Junzhe Zhang

31 papers · 2017–2025 · 12 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (127)

Venues

NeurIPS (7) ACL (4) AAAI (3) CVPR (3) ECCV (3) ICML (3) ICCV (2) ICLR (2) CLeaR (1) EMNLP (1) IJCAI (1) UAI (1)

Top co-authors

Elias Bareinboim (16) Zhongang Cai (5) Liang Pan (5) Shuai Yi (4) Haiyu Zhao (4) Chai Kiat Yeo (4) Daxuan Ren (4) Chen Change Loy (4) Xiaojun Wan (4) Bo Dai (3)

Research topics

Artificial Intelligence (20) Core AI (20) Machine Learning (17) Learning Types Β· Machine Learning (12) Reinforcement Learning (8) Deep Learning (7) Methods (7) Core Methods (5) Computer Vision (4) Natural Language Processing (4) Architectures (4) Learning Types Β· Deep Learning (3) Models (3) Optimization & Theory (3) Resources & Methods (3)

Keywords

causal inference (15) reinforcement learning (6) unobserved confounder (5) imitation learning (3) policy learning (3) observational data (2) causal imitation learning (2) dynamic treatment regime (2) causal effect (2) personalized medicine (2) unsupervised learning (2) multimodal large language model (2) observational study (2) treatment effect (2) 3d reconstruction (2) generative model (2) online learning (2) online reinforcement learning (2) counterfactual reasoning (2) confounding bia (2)

Papers

Automatic Reward Shaping from Confounded Offline Data ICML 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models EMNLP 2025 ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs ACL 2025 MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency ACL 2025 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causally Aligned Curriculum Learning ICLR 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024 Causal Imitation Learning via Inverse Reinforcement Learning ICLR 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification ICCV 2023 Exploring the Impact of Vision Features in News Image Captioning ACL 2023 Generative Diffusion Prior for Unified Image Restoration and Enhancement CVPR 2023 Can Humans Be out of the Loop? CLeaR 2022 ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing ECCV 2022 Monocular 3D Object Reconstruction with GAN Inversion ECCV 2022 Online Reinforcement Learning for Mixed Policy Scopes NeurIPS 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion NeurIPS 2021 Bounding Causal Effects on Continuous Outcome AAAI 2021 Crafting Adversarial Examples for Neural Machine Translation ACL 2021 CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing ICCV 2021 Sequential Causal Imitation Learning with Unobserved Confounders NeurIPS 2021 Unsupervised 3D Shape Completion Through GAN Inversion CVPR 2021 Variational Relational Point Completion Network CVPR 2021 Causal Imitation Learning With Unobserved Confounders NeurIPS 2020 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach ICML 2020 MessyTable: Instance Association in Multiple Camera Views ECCV 2020 Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NeurIPS 2019 Equality of Opportunity in Classification: A Causal Approach NeurIPS 2018 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017