Yongkai Wu
13 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)
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Keyword Pioneer
🐣
Hot Topic Early Bird
📈
Trend Setter
🔥
Unstoppable
(6)
🗃️
Keyword Collector
(56)
💎
Century Club
(13)
Conferences
IJCAI (6)
AAAI (3)
NIPS (3)
ICLR (1)
Top co-authors
Keywords
causal inference
(6)
counterfactual fairness
(2)
generative adversarial network
(2)
algorithmic fairness
(1)
constrained optimization
(1)
fair classification
(1)
graph representation
(1)
generative model
(1)
causal effect
(1)
disentangled representation
(1)
variational autoencoder
(1)
data selection
(1)
structural causal model
(1)
group fairness
(1)
instruction fine-tuning
(1)
sequential decision
(1)
deep generative model
(1)
dataset curation
(1)
causal model
(1)
sequential decision-making
(1)
Papers
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
AAAI 2025
Towards counterfactual fairness through auxiliary variables
ICLR 2025
Long-Term Fair Decision Making through Deep Generative Models
AAAI 2024
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
IJCAI 2024
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
NIPS 2024
A Generative Adversarial Framework for Bounding Confounded Causal Effects
AAAI 2021
Fair Multiple Decision Making Through Soft Interventions
NIPS 2020
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
NIPS 2019
Counterfactual Fairness: Unidentification, Bound and Algorithm
IJCAI 2019
Achieving Causal Fairness through Generative Adversarial Networks
IJCAI 2019
Achieving Non-Discrimination in Prediction
IJCAI 2018
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
IJCAI 2017
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach
IJCAI 2016