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Yongkai Wu

13 papers · 2016–2025 · 4 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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+4 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (15)
πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (59)

Venues

IJCAI (6) AAAI (3) NeurIPS (3) ICLR (1)

Top co-authors

Lu Zhang (9) Xintao Wu (9) Yaowei Hu (3) Yucong Dai (2) Ang Li (2) Ziyao Wang (2) Guoheng Sun (2) Shwai He (1) Depeng Xu (1) Hongyi Wang (1)

Research topics

Machine Learning (12) Application Areas (10) Artificial Intelligence (9) Core AI (9) Learning Types Β· Machine Learning (5) Deep Learning (3) Optimization & Theory (3) Knowledge & Reasoning (2) Core Methods (2) Models (2) Reasoning (2) Architectures (1) Learning Types Β· Deep Learning (1)

Keywords

causal inference (7) counterfactual fairness (3) generative adversarial network (2) algorithmic fairness (2) disentangled representation (1) fair classification (1) constrained optimization (1) generative model (1) graph representation (1) causal effect (1) sequential decision (1) variational autoencoder (1) data selection (1) instruction fine-tuning (1) group fairness (1) predictive accuracy (1) structural causal model (1) deep generative model (1) dataset curation (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 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning NeurIPS 2024 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 Fair Multiple Decision Making Through Soft Interventions NeurIPS 2020 Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NeurIPS 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