Debo Cheng
18 papers · 2022–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (28) π€ Dynamic Duo (11)
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(2)
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(78)
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Research topics
Artificial Intelligence
(13)
Machine Learning
(13)
Core AI
(12)
Deep Learning
(9)
Learning Types
(7)
Knowledge & Reasoning
(5)
Application Areas
(5)
Architectures
(5)
Core Methods
(5)
Reasoning
(5)
Data Science & Analytics
(4)
Applications
(3)
Models
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(1)
Keywords
causal inference
(10)
graph neural network
(5)
instrumental variable
(5)
latent confounder
(4)
representation learning
(3)
variational autoencoder
(3)
recommender system
(2)
maximal ancestral graph
(2)
causal discovery
(2)
causal mediation analysis
(2)
unobserved confounding
(2)
disentangled representation
(2)
local causal discovery
(2)
causal effect estimation
(2)
time series forecasting
(1)
kullback-leibler divergence
(1)
data augmentation
(1)
nonlinear regression
(1)
parameter efficient
(1)
attention mechanism
(1)
Papers
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment
AAAI 2026
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
Community-Centric Graph Unlearning
AAAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Gradient-based Causal Feature Selection
IJCAI 2025
Hybrid Local Causal Discovery
IJCAI 2025
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
IJCAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
ICML 2025
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
ICLR 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
ICLR 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
AAAI 2024
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Ancestral Instrument Method for Causal Inference without Complete Knowledge
IJCAI 2022
Information Augmentation for Few-shot Node Classification
IJCAI 2022