Yongkai Wu

Venues

Frequent coauthors

Papers

1. Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
   AAAI 2025 ·

   Zichong Wang

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2. FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
   ICDM 2025 ·

   Yucong Dai

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3. Towards counterfactual fairness through auxiliary variables
   ICLR 2025 ·

   Bowei Tian

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4. Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
   IJCAI 2024 ·

   Aneesh Komanduri

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5. Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
   SDM 2024 ·

   Karuna Bhaila

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6. Long-Term Fair Decision Making through Deep Generative Models
   AAAI 2024 ·

   Yaowei Hu

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7. SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
   NeurIPS 2024 ·

   Yexiao He

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8. SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
   MLSys 2024 ·

   Zhixu Du

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