Yongkai Wu

8 papers at tracked venues · 4 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

AAAI ×2 ICDM ×1 ICLR ×1 IJCAI ×1 MLSys ×1 NeurIPS ×1 SDM ×1

Frequent coauthors

Yucong Dai

×3

Ang Li

×3

Lu Zhang

×2

Ziyao Wang

×2

Guoheng Sun

×2

Xintao Wu

×2

Zichong Wang

×1

Zhibo Chu

×1

Thang Viet Doan

×1

Shaowei Wang

×1

Vasile Palade

×1

Wenbin Zhang

×1

Papers

Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
AAAI 2025 ·
Zichong Wang
,
Zhibo Chu
,
Thang Viet Doan
,
Shaowei Wang
, Yongkai Wu,
Vasile Palade
,
Wenbin Zhang
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
ICDM 2025 ·
Yucong Dai
,
Lu Zhang
,
Feng Luo
,
Mashrur Chowdhury
, Yongkai Wu
Towards counterfactual fairness through auxiliary variables
ICLR 2025 ·
Bowei Tian
,
Ziyao Wang
,
Shwai He
,
Wanghao Ye
,
Guoheng Sun
,
Yucong Dai
, Yongkai Wu,
Ang Li
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
IJCAI 2024 ·
Aneesh Komanduri
, Yongkai Wu,
Feng Chen
,
Xintao Wu
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
SDM 2024 ·
Karuna Bhaila
,
Wen Huang
, Yongkai Wu,
Xintao Wu
Long-Term Fair Decision Making through Deep Generative Models
AAAI 2024 ·
Yaowei Hu
, Yongkai Wu,
Lu Zhang
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
NeurIPS 2024 ·
Yexiao He
,
Ziyao Wang
,
Zheyu Shen
,
Guoheng Sun
,
Yucong Dai
, Yongkai Wu,
Hongyi Wang
,
Ang Li
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
MLSys 2024 ·
Zhixu Du
,
Shiyu Li
,
Yuhao Wu
,
Xiangyu Jiang
,
Jingwei Sun
,
Qilin Zheng
, Yongkai Wu,
Ang Li
,
Hai Li
,
Yiran Chen