Junzhe Zhang
32 papers · 2017–2025 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(56)
π§¬
Topic Evolution
π€
Dynamic Duo
(16)
π
Keyword Champion
(2)
π¬
Deep Specialist
(11)
π
Grand Slam
β‘
Prolific Year
(8)
π
Conference Pioneer
ποΈ
Keyword Collector
(112)
π₯
Unstoppable
(9)
π
Century Club
(32)
β
The Questioner
Conferences
NIPS (7)
ACL (4)
AAAI (3)
CVPR (3)
ECCV (3)
ICML (3)
ICCV (2)
ICLR (2)
CLEAR (1)
EMNLP (1)
IJCAI (1)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
causal inference
(12)
reinforcement learning
(5)
policy learning
(3)
imitation learning
(3)
unobserved confounder
(3)
online learning
(2)
multimodal large language model
(2)
adversarial example
(2)
neural machine translation
(2)
causal effect
(2)
unsupervised learning
(2)
counterfactual reasoning
(2)
black-box attack
(2)
causal imitation learning
(2)
online reinforcement learning
(2)
generative model
(2)
3d reconstruction
(2)
observational study
(2)
personalized medicine
(2)
treatment effect
(2)
Papers
Automatic Reward Shaping from Confounded Offline Data
ICML 2025
Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
UAI 2025
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
ACL 2025
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
EMNLP 2025
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
ACL 2025
Causally Aligned Curriculum Learning
ICLR 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
NIPS 2024
Scores for Learning Discrete Causal Graphs with Unobserved Confounders
AAAI 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
AAAI 2024
DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification
ICCV 2023
Exploring the Impact of Vision Features in News Image Captioning
ACL 2023
Causal Imitation Learning via Inverse Reinforcement Learning
ICLR 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
CVPR 2023
Online Reinforcement Learning for Mixed Policy Scopes
NIPS 2022
Partial Counterfactual Identification from Observational and Experimental Data
ICML 2022
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
ECCV 2022
Monocular 3D Object Reconstruction with GAN Inversion
ECCV 2022
Can Humans Be out of the Loop?
CLEAR 2022
Unsupervised 3D Shape Completion Through GAN Inversion
CVPR 2021
Sequential Causal Imitation Learning with Unobserved Confounders
NIPS 2021
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
NIPS 2021
Bounding Causal Effects on Continuous Outcome
AAAI 2021
Crafting Adversarial Examples for Neural Machine Translation
ACL 2021
Variational Relational Point Completion Network
CVPR 2021
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
ICCV 2021
Crafting Adversarial Examples for Neural Machine Translation
IJCNLP 2021
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
ICML 2020
Causal Imitation Learning With Unobserved Confounders
NIPS 2020
MessyTable: Instance Association in Multiple Camera Views
ECCV 2020
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
NIPS 2019
Equality of Opportunity in Classification: A Causal Approach
NIPS 2018
Transfer Learning in Multi-Armed Bandits: A Causal Approach
IJCAI 2017