Yongkai Wu

发表

DPWeka: Achieving Differential Privacy in WEKA

Xintao Wu, Qiuping Pan, Depeng Xu, 2017, 2017 IEEE Symposium on Privacy-Aware Computing (PAC).

Using Loglinear Model for Discrimination Discovery and Prevention

Xintao Wu, Yongkai Wu, Xintao Wu, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Fair Collective Classification in Networked Data

Xintao Wu, Yongkai Wu, Karuna Bhaila, 2022, 2022 IEEE International Conference on Big Data (Big Data).

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge

Xintao Wu, Yongkai Wu, Feng Chen, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Achieving Causal Fairness in Machine Learning

Yongkai Wu, Yongkai Wu, 2020 .

On Discrimination Discovery and Removal in Ranked Data using Causal Graph

Lu Zhang, Xintao Wu, Yongkai Wu, 2018, KDD.

Counterfactual Fairness: Unidentification, Bound and Algorithm

Xintao Wu, Lu Zhang, Yongkai Wu, 2019, IJCAI.

Achieving Non-Discrimination in Data Release

Lu Zhang, Xintao Wu, Yongkai Wu, 2016, KDD.

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness

Hanghang Tong, Xintao Wu, Lu Zhang, 2019, NeurIPS.

Achieving Causal Fairness through Generative Adversarial Networks

Xintao Wu, Depeng Xu, Lu Zhang, 2019, IJCAI.

Remote sensing image compression and encryption based on block compressive sensing and 2D-LCCCM

Hao Zhang, Yongkai Wu, Xiu-fang Feng, 2022, Nonlinear Dynamics.

Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms

Xintao Wu, Lu Zhang, Yongkai Wu, 2019, IEEE Transactions on Knowledge and Data Engineering.

A Causal Framework for Discovering and Removing Direct and Indirect Discrimination

Lu Zhang, Xintao Wu, Yongkai Wu, 2016, IJCAI.

Achieving non-discrimination in prediction pdf

Lu Zhang, Xintao Wu, Yongkai Wu, 2017, IJCAI.

Deciphering an image cipher based on 3-cell chaotic map and biological operations

Yushu Zhang, Wenying Wen, Yongkai Wu, 2015, Nonlinear Dynamics.

On Convexity and Bounds of Fairness-aware Classification

Lu Zhang, Yongkai Wu, Xintao Wu, 2019, WWW.

Fairness through Equality of Effort

Xintao Wu, Lu Zhang, Yongkai Wu, 2019, WWW.

Fair Multiple Decision Making Through Soft Interventions

Xintao Wu, Yongkai Wu, Yaowei Hu, 2020, NeurIPS.

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse

Shuhan Yuan, Yongkai Wu, Xiao Han, 2022, ArXiv.

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms

Xintao Wu, Yongkai Wu, Feng Chen, 2023, ArXiv.

Situation Testing-Based Discrimination Discovery: A Causal Inference Approach

Lu Zhang, Xintao Wu, Yongkai Wu, 2016, IJCAI.

On Discrimination Discovery Using Causal Networks

Lu Zhang, Xintao Wu, Yongkai Wu, 2016, SBP-BRiMS.

Fairness-aware Classification: Criterion, Convexity, and Bounds pdf

Lu Zhang, Xintao Wu, Yongkai Wu, 2018, ArXiv.

Retracted Article: Development of computer-based agricultural remote intelligent information monitoring system

Yongkai Wu, Shaojie Shi, Hongxiang Zhang, 2020, International Journal of Computers and Applications.

On Root Cause Localization and Anomaly Mitigation through Causal Inference

Yongkai Wu, Xiao Han, Lu Zhang, 2022, CIKM.

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach

Yongkai Wu, Karuna Bhaila, Wen Huang, 2023, SDM.