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2020 – today
- 2024
[c23]Xingyi Zhao, Depeng Xu, Shuhan Yuan:
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. ICML 2024- [c22]Farsheed Haque, Depeng Xu, Shuhan Yuan:
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. NAACL-HLT (Findings) 2024: 1599-1614 - [c21]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Counterfactual Explanation for Sequence Anomaly Detection. ECML/PKDD (8) 2024: 19-35 - [i7]Thomas Carr, Depeng Xu, Aidong Lu:
Adversary-Guided Motion Retargeting for Skeleton Anonymization. CoRR abs/2405.05428 (2024) - 2023
- [c20]Xi Niu, Ruhani Rahman, Xiangcheng Wu
, Zhe Fu, Depeng Xu, Riyi Qiu:
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. IEEE Big Data 2023: 352-359 - [c19]Thomas Carr, Aidong Lu, Depeng Xu:
Linkage Attack on Skeleton-based Motion Visualization. CIKM 2023: 3758-3762 - [c18]He Cheng, Depeng Xu, Shuhan Yuan:
Explainable Sequential Anomaly Detection via Prototypes. IJCNN 2023: 1-8 - 2022
- [c17]He Cheng, Depeng Xu, Shuhan Yuan:
Sequential Anomaly Detection with Local and Global Explanations. IEEE Big Data 2022: 1212-1217 - [c16]Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan:
Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) 2022: 4599-4606 - [c15]Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu:
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM 2022: 963-968 - [c14]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: 93-105 - [i6]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR abs/2210.04145 (2022) - [i5]Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan:
Generating Textual Adversaries with Minimal Perturbation. CoRR abs/2211.06571 (2022) - 2021
- [c13]Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan:
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData 2021: 1183-1192 - [c12]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData 2021: 5474-5483 - [c11]Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD 2021: 1924-1932 - [c10]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - 2020
- [j2]Jingxu Xu, Depeng Xu, Qianyue Wei, Yongjin Zhou:
Automatic classification of male and female skeletal muscles using ultrasound imaging. Biomed. Signal Process. Control. 57 (2020) - [i4]Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR abs/2003.03699 (2020) - [i3]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020)
2010 – 2019
- 2019
- [c9]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData 2019: 1401-1406 - [c8]Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu:
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI 2019: 1452-1458 - [c7]Suwen Qi, Tao Nie, Qiaoliang Li, Zhuoying He, Depeng Xu, Qiwen Chen:
A Sperm Cell Tracking Recognition and Classification Method. IWSSIP 2019: 163-167 - [c6]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) 2019: 594-599 - [i2]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR abs/1911.04587 (2019) - 2018
- [j1]Bingxian Lin, Liangchen Zhou, Depeng Xu, A-Xing Zhu, Guonian Lü:
A discrete global grid system for earth system modeling. Int. J. Geogr. Inf. Sci. 32(4): 711-737 (2018) - [c5]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData 2018: 570-575 - [c4]Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan:
DPNE: Differentially Private Network Embedding. PAKDD (2) 2018: 235-246 - [i1]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR abs/1805.11202 (2018) - 2017
- [c3]Qiaoliang Li, Guangyao Yang, Zhewei Chen, Bin Huang, Liangliang Chen, Depeng Xu, Xueying Zhou, Shi Zhong, Huisheng Zhang, Tianfu Wang:
Colorectal polyp segmentation using a fully convolutional neural network. CISP-BMEI 2017: 1-5 - [c2]Depeng Xu, Shuhan Yuan, Xintao Wu:
Differential Privacy Preserving Causal Graph Discovery. PAC 2017: 60-71 - [c1]Srinidhi Katla, Depeng Xu, Yongkai Wu, Qiuping Pan, Xintao Wu:
DPWeka: Achieving Differential Privacy in WEKA. PAC 2017: 184-185
Coauthor Index
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