Jie Qiao
14 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
π€
Dynamic Duo
(14)
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Topic Evolution
β
The Questioner
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(66)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(9)
Knowledge & Reasoning
(8)
Reasoning
(8)
Learning Types Β· Machine Learning
(6)
Core Methods
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Learning Types Β· Deep Learning
(1)
Optimization
(1)
Keywords
causal discovery
(7)
causal direction
(4)
causal inference
(3)
causal structure
(2)
granger causality
(2)
variational autoencoder
(2)
discrete data
(2)
structural causal model
(2)
poisson branching
(2)
tensor rank
(2)
neural network
(2)
additive noise model
(2)
amortized inference
(1)
poisson process
(1)
causal effect estimation
(1)
sparse optimization
(1)
domain generalization
(1)
second-order statistics
(1)
latent variable
(1)
bayesian inference
(1)
Papers
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 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
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NeurIPS 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022
Causal Discovery with Cascade Nonlinear Additive Noise Model
IJCAI 2019
Learning Disentangled Semantic Representation for Domain Adaptation
IJCAI 2019
Causal Discovery from Discrete Data using Hidden Compact Representation
NeurIPS 2018