Chunyuan Zheng
17 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
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Renaissance Researcher
(7)
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Dynamic Duo
(12)
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Triple Crown
🏆
Grand Slam
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Keyword Champion
(2)
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Prolific Year
(5)
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Keyword Collector
(62)
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Century Club
(13)
Conferences
AAAI (6)
ICLR (4)
ICML (3)
CVPR (2)
CORL (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(5)
propensity score
(3)
inverse propensity scoring
(2)
counterfactual reasoning
(2)
recommendation system
(2)
human activity recognition
(1)
hierarchical learning
(1)
algorithmic fairness
(1)
reproducing kernel hilbert space
(1)
minimax optimization
(1)
3d pose estimation
(1)
kernel regression
(1)
concept learning
(1)
observational study
(1)
self-attention mechanism
(1)
delayed feedback
(1)
human pose estimation
(1)
diffusion model
(1)
spurious correlation
(1)
state space model
(1)
Papers
Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation
AAAI 2026
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
AAAI 2026
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
CVPR 2025
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
AAAI 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing
CVPR 2025
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
AAAI 2025
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
CORL 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
ICLR 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NIPS 2023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
ICLR 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023