conftrace_

Zhengming Chen

15 papers · 2022–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+5 more ↓ 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
πŸ—ΊοΈ Taxonomy Completionist (13) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ’Ž Century Club (15) ⚑ Prolific Year (6)

Conferences

ICML (4) AAAI (3) IJCAI (3) ICLR (2) JMLR (1) MICCAI (1) NIPS (1)

Papers

Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025 RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration MICCAI 2025 Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations ICML 2025 Extracting Rare Dependence Patterns via Adaptive Sample Reweighting ICML 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference ICLR 2025 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ICLR 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NIPS 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024 Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023 Identification of Linear Non-Gaussian Latent Hierarchical Structure ICML 2022 Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022