Feng Xie
21 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Conference Polyglot (7) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(14)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Triple Crown
π¬
Deep Specialist
(11)
π
Grand Slam
ποΈ
Keyword Collector
(52)
π₯
Unstoppable
(7)
π
Century Club
(21)
β‘
Prolific Year
(5)
Conferences
ICML (8)
NIPS (6)
IJCAI (3)
AAAI (1)
EMNLP (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
causal discovery
(9)
causal structure
(5)
latent variable
(5)
latent variable model
(4)
causal inference
(3)
hierarchical model
(2)
graphical model
(2)
non-gaussian noise
(2)
linear non-gaussian acyclic model
(2)
structural equation model
(2)
hierarchical structure
(2)
independent noise
(2)
independence testing
(1)
second-order statistics
(1)
bayesian inference
(1)
semi-supervised learning
(1)
gene expression
(1)
structural learning
(1)
transfer learning
(1)
causal structure learning
(1)
Papers
Causal Attribution Analysis for Continuous Outcomes
ICML 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise
IJCAI 2025
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NIPS 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NIPS 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
ICML 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Identification of Nonlinear Latent Hierarchical Models
NIPS 2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
EMNLP 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Identification of Linear Non-Gaussian Latent Hierarchical Structure
ICML 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints
NIPS 2022
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
IJCAI 2021
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NIPS 2020
Triad Constraints for Learning Causal Structure of Latent Variables
NIPS 2019