Lu Zhang

According to our database, Lu Zhang authored at least 40 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Algorithmic Recourse for Anomaly Detection in Multivariate Time Series.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

CoRR, 2023

Achieving Counterfactual Fairness for Anomaly Detection.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Neural Time-Invariant Causal Discovery from Time Series Data.

Saima Absar, Yongkai Wu, Lu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

On Root Cause Localization and Anomaly Mitigation through Causal Inference.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

CoRR, 2022

Coded Hate Speech Detection via Contextual Information.

Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Robust Hate Speech Detection via Mitigating Spurious Correlations.

Kshitiz Tiwari, Shuhan Yuan, Lu Zhang

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Generating Textual Adversaries with Minimal Perturbation.

Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Achieving Counterfactual Fairness for Causal Bandit.

Wen Huang, Lu Zhang, Xintao Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Achieving Long-Term Fairness in Sequential Decision Making.

Yaowei Hu, Lu Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Discovering Time-invariant Causal Structure from Temporal Data.

Saima Absar, Lu Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Generative Adversarial Framework for Bounding Confounded Causal Effects.

Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fairness through Equality of Effort.

Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fair Multiple Decision Making Through Soft Interventions.

Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

Lu Zhang, Yongkai Wu, Xintao Wu

IEEE Trans. Knowl. Data Eng., 2019

Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics.

Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

On Convexity and Bounds of Fairness-aware Classification.

Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the World Wide Web Conference, 2019

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

Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Achieving Causal Fairness through Generative Adversarial Networks.

Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Counterfactual Fairness: Unidentification, Bound and Algorithm.

Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

FairGAN⁺: Achieving Fair Data Generation and Classification through Generative Adversarial Nets.

Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

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

Yongkai Wu, Lu Zhang, Xintao Wu

CoRR, 2018

On Discrimination Discovery and Removal in Ranked Data using Causal Graph.

Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Achieving Non-Discrimination in Prediction.

Lu Zhang, Yongkai Wu, Xintao Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FairGAN: Fairness-aware Generative Adversarial Networks.

Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing.

Lu Zhang, Xueyan Tang, Bingsheng He

IEEE Trans. Parallel Distributed Syst., 2017

Anti-discrimination learning: a causal modeling-based framework.

Lu Zhang, Xintao Wu

Int. J. Data Sci. Anal., 2017

Achieving Non-Discrimination in Data Release.

Lu Zhang, Yongkai Wu, Xintao Wu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Causal Framework for Discovering and Removing Direct and Indirect Discrimination.

Lu Zhang, Yongkai Wu, Xintao Wu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network.

Lu Zhang, Qiuping Pan, Xintao Wu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

STIP: An SNP-trait inference platform.

Qiuping Pan, Lu Zhang, Xintao Wu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

On Discrimination Discovery Using Causal Networks.

Lu Zhang, Yongkai Wu, Xintao Wu

Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

Situation Testing-Based Discrimination Discovery: A Causal Inference Approach.

Lu Zhang, Yongkai Wu, Xintao Wu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Building Bayesian networks from GWAS statistics based on Independence of Causal Influence.

Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

The Client Assignment Problem for Continuous Distributed Interactive Applications: Analysis, Algorithms, and Evaluation.

Lu Zhang, Xueyan Tang

IEEE Trans. Parallel Distributed Syst., 2014

2013

Client assignment problems for distributed interactive computing

Lu Zhang

PhD thesis, 2013

Brief announcement: on minimum interaction time for continuous distributed interactive computing.

Lu Zhang, Xueyan Tang, Bingsheng He

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2013

2012

Optimizing client assignment for enhancing interactivity in distributed interactive applications.

Lu Zhang, Xueyan Tang

IEEE/ACM Trans. Netw., 2012

2011

Client assignment for improving interactivity in distributed interactive applications.

Lu Zhang, Xueyan Tang

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

The Client Assignment Problem for Continuous Distributed Interactive Applications.

Lu Zhang, Xueyan Tang

Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011