Zhengming Chen
15 papers · 2022–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (15) π Conference Polyglot Β· Silver π Triple Crown π Grand Slam
π¬
Deep Specialist
(13)
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Keyword Collector
(69)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Knowledge & Reasoning
(11)
Reasoning
(11)
Machine Learning
(10)
Learning Types
(7)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Methods
(1)
Models
(1)
Keywords
causal discovery
(7)
latent variable
(4)
causal structure
(3)
causal inference
(3)
causal structure learning
(2)
linear non-gaussian acyclic model
(2)
tensor rank
(2)
graphical model
(2)
latent variable model
(2)
hierarchical structure
(1)
conditional independence
(1)
conditional dependence
(1)
path analysis
(1)
bayesian network
(1)
variational inference
(1)
causal effect
(1)
hierarchical model
(1)
latent representation
(1)
second-order statistics
(1)
statistical independence
(1)
Papers
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
ICLR 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning
IJCAI 2025
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
ICML 2025
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
MICCAI 2025
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NeurIPS 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022
Identification of Linear Non-Gaussian Latent Hierarchical Structure
ICML 2022