Lu Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 43

Top Topics

Bayesian Networks

Decision Making

Causal Inference

Top Venues

Publications

Yaowei Hu, Yongkai Wu, Lu Zhang
Long-Term Fair Decision Making through Deep Generative Models. AAAI (2024)
Kshitiz Tiwari, Lu Zhang
Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. Entropy 26 (5) (2024)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Achieving Counterfactual Fairness for Anomaly Detection. CoRR (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
On Root Cause Localization and Anomaly Mitigation through Causal Inference. CIKM (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series. CoRR (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Achieving Counterfactual Fairness for Anomaly Detection. PAKDD (1) (2023)
Saima Absar, Yongkai Wu, Lu Zhang
Neural Time-Invariant Causal Discovery from Time Series Data. IJCNN (2023)
Wen Huang, Lu Zhang, Xintao Wu
Achieving Counterfactual Fairness for Causal Bandit. AAAI (2022)
Yaowei Hu, Lu Zhang
Achieving Long-Term Fairness in Sequential Decision Making. AAAI (2022)
Yaowei Hu, Lu Zhang
Achieving Long-Term Fairness in Sequential Decision Making. CoRR (2022)
Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu
Coded Hate Speech Detection via Contextual Information. PAKDD (1) (2022)
Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
A Generative Adversarial Framework for Bounding Confounded Causal Effects. AAAI (2021)
Wen Huang, Lu Zhang, Xintao Wu
Achieving Counterfactual Fairness for Causal Bandit. CoRR (2021)
Saima Absar, Lu Zhang
Discovering Time-invariant Causal Structure from Temporal Data. CIKM (2021)
Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
Fair Multiple Decision Making Through Soft Interventions. NeurIPS (2020)
Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu
Fairness through Equality of Effort. WWW (Companion Volume) (2020)
Lu Zhang, Yongkai Wu, Xintao Wu
Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR (2019)
Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS (2019)
Yongkai Wu, Lu Zhang, Xintao Wu
Counterfactual Fairness: Unidentification, Bound and Algorithm. IJCAI (2019)
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI (2019)
Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData (2019)
Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu
Fairness through Equality of Effort. CoRR (2019)
Yongkai Wu, Lu Zhang, Xintao Wu
On Convexity and Bounds of Fairness-aware Classification. WWW (2019)
Yongkai Wu, Lu Zhang, Xintao Wu
Fairness-aware Classification: Criterion, Convexity, and Bounds. CoRR (2018)
Lu Zhang, Yongkai Wu, Xintao Wu
Achieving Non-Discrimination in Prediction. IJCAI (2018)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData (2018)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR (2018)
Yongkai Wu, Lu Zhang, Xintao Wu
On Discrimination Discovery and Removal in Ranked Data using Causal Graph. CoRR (2018)
Yongkai Wu, Lu Zhang, Xintao Wu
On Discrimination Discovery and Removal in Ranked Data using Causal Graph. KDD (2018)
Lu Zhang, Qiuping Pan, Xintao Wu
Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network. BIBM (2017)
Lu Zhang, Yongkai Wu, Xintao Wu
Achieving non-discrimination in prediction. CoRR (2017)
Lu Zhang, Yongkai Wu, Xintao Wu
Achieving Non-Discrimination in Data Release. KDD (2017)
Qiuping Pan, Lu Zhang, Xintao Wu
STIP: An SNP-trait inference platform. BIBM (2017)
Lu Zhang, Xintao Wu
Anti-discrimination learning: a causal modeling-based framework. Int. J. Data Sci. Anal. 4 (1) (2017)
Lu Zhang, Xueyan Tang, Bingsheng He
Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing. IEEE Trans. Parallel Distributed Syst. 28 (2) (2017)
Lu Zhang, Yongkai Wu, Xintao Wu
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination. IJCAI (2017)
Lu Zhang, Yongkai Wu, Xintao Wu
On Discrimination Discovery Using Causal Networks. SBP-BRiMS (2016)
Lu Zhang, Yongkai Wu, Xintao Wu
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach. IJCAI (2016)
Lu Zhang, Yongkai Wu, Xintao Wu
A causal framework for discovering and removing direct and indirect discrimination. CoRR (2016)
Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi
Building Bayesian networks from GWAS statistics based on Independence of Causal Influence. BIBM (2016)
Lu Zhang, Yongkai Wu, Xintao Wu
Achieving non-discrimination in data release. CoRR (2016)
Lu Zhang, Xueyan Tang
The Client Assignment Problem for Continuous Distributed Interactive Applications: Analysis, Algorithms, and Evaluation. IEEE Trans. Parallel Distributed Syst. 25 (3) (2014)
Lu Zhang, Xueyan Tang, Bingsheng He
Brief announcement: on minimum interaction time for continuous distributed interactive computing. PODC (2013)
Lu Zhang, Xueyan Tang
Optimizing client assignment for enhancing interactivity in distributed interactive applications. IEEE/ACM Trans. Netw. 20 (6) (2012)
Lu Zhang, Xueyan Tang
Client assignment for improving interactivity in distributed interactive applications. INFOCOM (2011)
Lu Zhang, Xueyan Tang
The Client Assignment Problem for Continuous Distributed Interactive Applications. ICDCS (2011)