Debo Cheng
18 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(5)
🤝
Dynamic Duo
(10)
🏆
Keyword Champion
(4)
💎
Century Club
(16)
⚡
Prolific Year
(9)
🗃️
Keyword Collector
(70)
🔥
Unstoppable
(5)
Conferences
AAAI (7)
IJCAI (7)
ICLR (2)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
causal inference
(8)
graph neural network
(5)
latent confounder
(4)
instrumental variable
(4)
representation learning
(2)
causal discovery
(2)
recommender system
(2)
disentangled representation
(2)
local causal discovery
(2)
maximal ancestral graph
(2)
variational autoencoder
(2)
gradient-based method
(1)
kl divergence
(1)
bias correction
(1)
time series forecasting
(1)
kullback-leibler divergence
(1)
data augmentation
(1)
parameter efficient
(1)
causal effect
(1)
community detection
(1)
Papers
Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment
AAAI 2026
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
Community-Centric Graph Unlearning
AAAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
Hybrid Local Causal Discovery
IJCAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
IJCAI 2025
Gradient-based Causal Feature Selection
IJCAI 2025
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
ICML 2025
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 Front-Door Adjustment and Identifiable Variational Autoencoder
ICLR 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