Chunyuan Zheng
17 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Triple Crown
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Keyword Champion
(5)
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(13)
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(84)
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(11)
Core Methods
(7)
Data Science & Analytics
(5)
Applications
(5)
Computer Vision
(3)
Deep Learning
(3)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Robotics
(2)
Analysis
(2)
Capabilities
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
causal inference
(7)
propensity score
(5)
inverse propensity scoring
(3)
recommender system
(3)
doubly robust
(3)
recommendation system
(3)
reproducing kernel hilbert space
(2)
doubly robust learning
(2)
selection bia
(2)
counterfactual reasoning
(2)
human activity recognition
(1)
minimax optimization
(1)
human pose estimation
(1)
3d pose estimation
(1)
hierarchical learning
(1)
algorithmic fairness
(1)
policy learning
(1)
state space model
(1)
attention mechanism
(1)
self-attention mechanism
(1)
Papers
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation
AAAI 2026
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
AAAI 2026
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
AAAI 2025
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
AAAI 2025
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
CVPR 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing
CVPR 2025
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
CoRL 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NeurIPS 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
ICLR 2023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
ICLR 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023