Wu, Yongkai

17 publications

TMLR 2026 Algorithmic Recourse in Abnormal Multivariate Time Series Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
AAAI 2025 Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang
ICLR 2025 Towards Counterfactual Fairness Through Auxiliary Variables Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li
TMLR 2024 From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen
IJCAI 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
AAAI 2024 Long-Term Fair Decision Making Through Deep Generative Models Yaowei Hu, Yongkai Wu, Lu Zhang
NeurIPS 2024 SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li
NeurIPSW 2023 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
NeurIPSW 2023 Local Differential Privacy in Graph Neural Networks: A Reconstruction Approach Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu
AAAI 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
NeurIPS 2020 Fair Multiple Decision Making Through Soft Interventions Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
IJCAI 2019 Achieving Causal Fairness Through Generative Adversarial Networks Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
IJCAI 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm Yongkai Wu, Lu Zhang, Xintao Wu
NeurIPS 2019 PC-Fairness: A Unified Framework for Measuring Causality-Based Fairness Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
IJCAI 2018 Achieving Non-Discrimination in Prediction Lu Zhang, Yongkai Wu, Xintao Wu
IJCAI 2017 A Causal Framework for Discovering and Removing Direct and Indirect Discrimination Lu Zhang, Yongkai Wu, Xintao Wu
IJCAI 2016 Situation Testing-Based Discrimination Discovery: A Causal Inference Approach Lu Zhang, Yongkai Wu, Xintao Wu