Depeng Xu - RankMe

42 papers A* 4A 2B 5Journal 13Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparative Analysis of Formula and Structure Prediction from Tandem Mass Spectra. CoRR Xujun Che, Xiuxia Du, Depeng Xu
2026	J	`jnl`	SE Perspective on LLMs: Biases in Code Generation, Code Interpretability, and Code Security Risks. ACM Comput. Surv. Rrezarta Krasniqi, Depeng Xu, Marco Vieira
2025	—	`conf`	A Comprehensive Survey on Bias and Fairness in Large Language Models. PAKDD (Workshops) Farsheed Haque, Depeng Xu, Xi Niu
2025	—	`conf`	AnonVis: A Visualization Tool for Human Motion Anonymization. ISMAR-Adjunct Thomas Carr, Ruby Flanagan, Albert Bastakoti, Depeng Xu, Aidong Lu
2025	—	`conf`	Backdoor Attack against Log Anomaly Detection Models. WWW (Companion Volume) He Cheng, Depeng Xu, Shuhan Yuan
2025	B	`conf`	BadSAD: Clean-Label Backdoor Attacks Against Deep Semi-Supervised Anomaly Detection. IEEE Big Data He Cheng, Depeng Xu, Shuhan Yuan
2025	J	`jnl`	BiasMap: Leveraging Cross-Attentions to Discover and Mitigate Hidden Social Biases in Text-to-Image Generation. CoRR Rajatsubhra Chakraborty, Xujun Che, Depeng Xu, Cori Faklaris, Xi Niu, Shuhan Yuan
2025	J	`jnl`	DM-QPMNET: Dual-modality fusion network for cell segmentation in quantitative phase microscopy. CoRR Rajatsubhra Chakraborty, Ana Espinosa-Momox, Riley Haskin, Depeng Xu, Rosario Porras-Aguilar
2025	—	`conf`	Explanation-Based Anonymization Methods for Motion Privacy. PAKDD (4) Thomas Carr, Yaxin Zhao, Depeng Xu, Aidong Lu
2025	J	`jnl`	Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward. Knowl. Inf. Syst. Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
2025	—	`conf`	Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation. EMNLP (Findings) Farsheed Haque, Zhe Fu, Depeng Xu, Shuhan Yuan, Xi Niu
2024	—	`conf`	A Review of Privacy and Utility in Skeleton-based Data in Virtual Reality Metaverses. MetaCom Thomas Carr, Depeng Xu, Aidong Lu
2024	—	`conf`	Achieving Counterfactual Explanation for Sequence Anomaly Detection. ECML/PKDD (8) He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu
2024	J	`jnl`	Adversary-Guided Motion Retargeting for Skeleton Anonymization. CoRR Thomas Carr, Depeng Xu, Aidong Lu
2024	J	`jnl`	BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection. CoRR He Cheng, Depeng Xu, Shuhan Yuan
2024	A*	`conf`	Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. ICML Xingyi Zhao, Depeng Xu, Shuhan Yuan
2024	—	`conf`	Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. NAACL-HLT (Findings) Farsheed Haque, Depeng Xu, Shuhan Yuan
2024	B	`conf`	User Privacy in Skeleton-based Motion Data. IEEE Big Data Thomas Carr, Depeng Xu
2023	B	`conf`	Explainable Sequential Anomaly Detection via Prototypes. IJCNN He Cheng, Depeng Xu, Shuhan Yuan
2023	B	`conf`	Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. IEEE Big Data Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu
2023	A	`conf`	Linkage Attack on Skeleton-based Motion Visualization. CIKM Thomas Carr, Aidong Lu, Depeng Xu
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	A*	`conf`	Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
2022	J	`jnl`	Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR He Cheng, Depeng Xu, Shuhan Yuan, 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	B	`conf`	Sequential Anomaly Detection with Local and Global Explanations. IEEE Big Data He Cheng, Depeng Xu, Shuhan Yuan
2021	—	`conf`	Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData Depeng Xu, Shuhan Yuan, Xintao Wu
2021	A	`conf`	Fairness-aware Agnostic Federated Learning. SDM Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2021	—	`conf`	InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan
2021	A*	`conf`	Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD Depeng Xu, Wei Du, Xintao Wu
2020	J	`jnl`	Fairness-aware Agnostic Federated Learning. CoRR Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2020	J	`jnl`	Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR Depeng Xu, Wei Du, Xintao Wu
2019	A*	`conf`	Achieving Causal Fairness through Generative Adversarial Networks. IJCAI Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
2019	—	`conf`	Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) Depeng Xu, Shuhan Yuan, Xintao Wu
2019	J	`jnl`	Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR Depeng Xu, Shuhan Yuan, Xintao Wu
2019	—	`conf`	FairGAN IEEE BigData Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2018	—	`conf`	DPNE: Differentially Private Network Embedding. PAKDD (2) Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan
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
2017	—	`conf`	DPWeka: Achieving Differential Privacy in WEKA. PAC Srinidhi Katla, Depeng Xu, Yongkai Wu, Qiuping Pan, Xintao Wu
2017	—	`conf`	Differential Privacy Preserving Causal Graph Discovery. PAC Depeng Xu, Shuhan Yuan, Xintao Wu