Lu Zhang - RankMe

64 papers A* 17A 3B 4Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Algorithmic Recourse in Abnormal Multivariate Time Series. Trans. Mach. Learn. Res. Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2025	A*	`conf`	A Causal Lens for Learning Long-term Fair Policies. ICLR Jacob Lear, Lu Zhang
2025	J	`jnl`	Causally Fair Node Classification on Non-IID Graph Data. CoRR Yucong Dai, Lu Zhang, Yaowei Hu, Susan Gauch, Yongkai Wu
2025	—	`conf`	FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents. ICDM (Workshops) Yucong Dai, Lu Zhang, Feng Luo, Mashrur Chowdhury, Yongkai Wu
2025	J	`jnl`	FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents. CoRR Yucong Dai, Lu Zhang, Feng Luo, Mashrur Chowdhury, Yongkai Wu
2024	B	`conf`	Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach. IJCNN Yucong Dai, Xiangyu Jiang, Yaowei Hu, Lu Zhang, Yongkai Wu
2024	J	`jnl`	Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. Entropy Kshitiz Tiwari, Lu Zhang
2024	A*	`conf`	Long-Term Fair Decision Making through Deep Generative Models. AAAI Yaowei Hu, Yongkai Wu, Lu Zhang
2024	J	`jnl`	Long-Term Fair Decision Making through Deep Generative Models. CoRR Yaowei Hu, Yongkai Wu, Lu Zhang
2024	J	`jnl`	Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. CoRR Yaowei Hu, Jacob Lear, Lu Zhang
2024	B	`conf`	Time Series Causal Discovery Using a Hybrid Method. IEEE Big Data Saima Absar, Lu Zhang
2023	—	`conf`	Achieving Counterfactual Fairness for Anomaly Detection. PAKDD (1) Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023	J	`jnl`	Achieving Counterfactual Fairness for Anomaly Detection. CoRR Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023	J	`jnl`	Algorithmic Recourse for Anomaly Detection in Multivariate Time Series. CoRR Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023	B	`conf`	Neural Time-Invariant Causal Discovery from Time Series Data. IJCNN Saima Absar, Yongkai Wu, Lu Zhang
2023	A	`conf`	On Root Cause Localization and Anomaly Mitigation through Causal Inference. CIKM Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023	B	`conf`	Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. IEEE Big Data Yaowei Hu, Jacob Lear, Lu Zhang
2022	A*	`conf`	Achieving Counterfactual Fairness for Causal Bandit. AAAI Wen Huang, Lu Zhang, Xintao Wu
2022	A*	`conf`	Achieving Long-Term Fairness in Sequential Decision Making. AAAI Yaowei Hu, Lu Zhang
2022	J	`jnl`	Achieving Long-Term Fairness in Sequential Decision Making. CoRR Yaowei Hu, Lu Zhang
2022	—	`conf`	Coded Hate Speech Detection via Contextual Information. PAKDD (1) Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu
2022	—	`conf`	Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
2022	J	`jnl`	Generating Textual Adversaries with Minimal Perturbation. CoRR Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
2022	J	`jnl`	On Interpretable Anomaly Detection Using Causal Algorithmic Recourse. CoRR Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2022	—	`conf`	Robust Hate Speech Detection via Mitigating Spurious Correlations. AACL/IJCNLP (2) Kshitiz Tiwari, Shuhan Yuan, Lu Zhang
2021	A*	`conf`	A Generative Adversarial Framework for Bounding Confounded Causal Effects. AAAI Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
2021	J	`jnl`	Achieving Counterfactual Fairness for Causal Bandit. CoRR Wen Huang, Lu Zhang, Xintao Wu
2021	A	`conf`	Discovering Time-invariant Causal Structure from Temporal Data. CIKM Saima Absar, Lu Zhang
2020	A*	`conf`	Fair Multiple Decision Making Through Soft Interventions. NeurIPS Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu
2020	—	`conf`	Fairness through Equality of Effort. WWW (Companion Volume) Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu
2019	A*	`conf`	Achieving Causal Fairness through Generative Adversarial Networks. IJCAI Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
2019	J	`jnl`	Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics. IEEE ACM Trans. Comput. Biol. Bioinform. Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi
2019	J	`jnl`	Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms. IEEE Trans. Knowl. Data Eng. Lu Zhang, Yongkai Wu, Xintao Wu
2019	A*	`conf`	Counterfactual Fairness: Unidentification, Bound and Algorithm. IJCAI Yongkai Wu, Lu Zhang, Xintao Wu
2019	—	`conf`	FairGAN IEEE BigData Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2019	J	`jnl`	Fairness through Equality of Effort. CoRR Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu
2019	A*	`conf`	On Convexity and Bounds of Fairness-aware Classification. WWW Yongkai Wu, Lu Zhang, Xintao Wu
2019	A*	`conf`	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
2019	J	`jnl`	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
2018	A*	`conf`	Achieving Non-Discrimination in Prediction. IJCAI Lu Zhang, Yongkai Wu, Xintao Wu
2018	—	`conf`	FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2018	J	`jnl`	FairGAN: Fairness-aware Generative Adversarial Networks. CoRR Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2018	J	`jnl`	Fairness-aware Classification: Criterion, Convexity, and Bounds. CoRR Yongkai Wu, Lu Zhang, Xintao Wu
2018	A*	`conf`	On Discrimination Discovery and Removal in Ranked Data using Causal Graph. KDD Yongkai Wu, Lu Zhang, Xintao Wu
2018	J	`jnl`	On Discrimination Discovery and Removal in Ranked Data using Causal Graph. CoRR Yongkai Wu, Lu Zhang, Xintao Wu
2017	A*	`conf`	A Causal Framework for Discovering and Removing Direct and Indirect Discrimination. IJCAI Lu Zhang, Yongkai Wu, Xintao Wu
2017	A*	`conf`	Achieving Non-Discrimination in Data Release. KDD Lu Zhang, Yongkai Wu, Xintao Wu
2017	J	`jnl`	Achieving non-discrimination in prediction. CoRR Lu Zhang, Yongkai Wu, Xintao Wu
2017	J	`jnl`	Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing. IEEE Trans. Parallel Distributed Syst. Lu Zhang, Xueyan Tang, Bingsheng He
2017	J	`jnl`	Anti-discrimination learning: a causal modeling-based framework. Int. J. Data Sci. Anal. Lu Zhang, Xintao Wu
2017	—	`conf`	Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network. BIBM Lu Zhang, Qiuping Pan, Xintao Wu
2017	—	`conf`	STIP: An SNP-trait inference platform. BIBM Qiuping Pan, Lu Zhang, Xintao Wu
2016	J	`jnl`	A causal framework for discovering and removing direct and indirect discrimination. CoRR Lu Zhang, Yongkai Wu, Xintao Wu
2016	J	`jnl`	Achieving non-discrimination in data release. CoRR Lu Zhang, Yongkai Wu, Xintao Wu
2016	—	`conf`	Building Bayesian networks from GWAS statistics based on Independence of Causal Influence. BIBM Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi
2016	—	`conf`	On Discrimination Discovery Using Causal Networks. SBP-BRiMS Lu Zhang, Yongkai Wu, Xintao Wu
2016	A*	`conf`	Situation Testing-Based Discrimination Discovery: A Causal Inference Approach. IJCAI Lu Zhang, Yongkai Wu, Xintao Wu
2014	J	`jnl`	The Client Assignment Problem for Continuous Distributed Interactive Applications: Analysis, Algorithms, and Evaluation. IEEE Trans. Parallel Distributed Syst. Lu Zhang, Xueyan Tang
2013	A*	`conf`	Brief announcement: on minimum interaction time for continuous distributed interactive computing. PODC Lu Zhang, Xueyan Tang, Bingsheng He
2013	—	`—`	Client assignment problems for distributed interactive computing Lu Zhang
2013	—	`conf`	Sesame: A new bioinformatics semantic workflow design system. BIBM Lu Zhang, Yunsheng Wang, Pengfei Xuan, Alexander Duvall, Jonathan Lowe, Yanyan Wang, Arvind Subramanian, Pradip K. Srimani, Feng Luo, Yongping Duan
2012	J	`jnl`	Optimizing client assignment for enhancing interactivity in distributed interactive applications. IEEE/ACM Trans. Netw. Lu Zhang, Xueyan Tang
2011	A*	`conf`	Client assignment for improving interactivity in distributed interactive applications. INFOCOM Lu Zhang, Xueyan Tang
2011	A	`conf`	The Client Assignment Problem for Continuous Distributed Interactive Applications. ICDCS Lu Zhang, Xueyan Tang