Depeng Xu

According to our database, Depeng Xu authored at least 24 papers between 2017 and 2023.

Collaborative distances:

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

2023

Explainable Sequential Anomaly Detection via Prototypes.

He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

Linkage Attack on Skeleton-based Motion Visualization.

Thomas Carr, Aidong Lu, Depeng Xu

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

Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems.

Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations.

He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu

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

Few-shot Anomaly Detection and Classification Through Reinforced Data Selection.

Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the IEEE International Conference on Data Mining, 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

Sequential Anomaly Detection with Local and Global Explanations.

He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Fairness-aware Agnostic Federated Learning.

Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent.

Depeng Xu, Wei Du, Xintao Wu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data.

Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy.

Depeng Xu, Wei Du, Xintao Wu

CoRR, 2020

Automatic classification of male and female skeletal muscles using ultrasound imaging.

Jingxu Xu, Depeng Xu, Qianyue Wei, Yongjin Zhou

Biomed. Signal Process. Control., 2020

2019

Achieving Differential Privacy and Fairness in Logistic Regression.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Sperm Cell Tracking Recognition and Classification Method.

Suwen Qi, Tao Nie, Qiaoliang Li, Zhuoying He, Depeng Xu, Qiwen Chen

Proceedings of the International Conference on Systems, Signals and Image Processing, 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

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

A discrete global grid system for earth system modeling.

Bingxian Lin, Liangchen Zhou, Depeng Xu, A-Xing Zhu, Guonian Lü

Int. J. Geogr. Inf. Sci., 2018

DPNE: Differentially Private Network Embedding.

Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Differential Privacy Preserving Causal Graph Discovery.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

DPWeka: Achieving Differential Privacy in WEKA.

Srinidhi Katla, Depeng Xu, Yongkai Wu, Qiuping Pan, Xintao Wu

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

Colorectal polyp segmentation using a fully convolutional neural network.

Qiaoliang Li, Guangyao Yang, Zhewei Chen, Bin Huang, Liangliang Chen, Depeng Xu, Xueying Zhou, Shi Zhong, Huisheng Zhang, Tianfu Wang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017