Jie Qiao
14 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(14)
🔬
Deep Specialist
(10)
🗃️
Keyword Collector
(56)
⚡
Prolific Year
(7)
❓
The Questioner
💎
Century Club
(14)
Conferences
AAAI (5)
IJCAI (4)
NIPS (3)
ICML (2)
Top co-authors
Keywords
causal discovery
(7)
causal direction
(4)
causal inference
(3)
discrete datum
(2)
structural causal model
(2)
granger causality
(2)
variational autoencoder
(2)
additive noise model
(2)
poisson branching
(2)
causal structure
(2)
path analysis
(1)
poisson process
(1)
amortized inference
(1)
adversarial attack
(1)
sparse optimization
(1)
domain generalization
(1)
deep neural network
(1)
second-order statistics
(1)
bayesian inference
(1)
disentangled representation
(1)
Papers
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NIPS 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NIPS 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure
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
NIPS 2018