Wei Du - RankMe

31 papers A* 2A 2B 6Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. ICCV Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu
2023	J	`jnl`	3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. CoRR Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu
2023	J	`jnl`	A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias. CoRR Huy Mai, Wen Huang, Wei Du, Xintao Wu
2023	B	`conf`	A Robust Classifier under Missing-Not-at-Random Sample Selection Bias. IEEE Big Data Huy Mai, Wen Huang, Wei Du, Xintao Wu
2023	J	`jnl`	Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming. IEEE Trans. Cloud Comput. Wei Du, Ang Li, Qinghua Li, Pan Zhou
2022	B	`conf`	Defending Evasion Attacks via Adversarially Adaptive Training. IEEE Big Data Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu
2022	B	`conf`	Fair Regression under Sample Selection Bias. IEEE Big Data Wei Du, Xintao Wu, Hanghang Tong
2022	—	`conf`	Poisoning Attacks on Fair Machine Learning. DASFAA (1) Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu
2022	J	`jnl`	PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System. IEEE Trans. Mob. Comput. Wei Du, Ang Li, Pan Zhou, Ben Niu, Dapeng Wu
2022	B	`conf`	Robust Personalized Federated Learning under Demographic Fairness Heterogeneity. IEEE Big Data Alycia N. Carey, Wei Du, Xintao Wu
2021	J	`jnl`	Enhancing personalized modeling via weighted and adversarial learning. Int. J. Data Sci. Anal. Wei Du, Xintao Wu
2021	J	`jnl`	Fair Regression under Sample Selection Bias. CoRR Wei Du, Xintao Wu, Hanghang Tong
2021	A	`conf`	Fair and Robust Classification Under Sample Selection Bias. CIKM Wei Du, Xintao Wu
2021	A	`conf`	Fairness-aware Agnostic Federated Learning. SDM Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2021	J	`jnl`	Massive Maritime Path Planning: A Contextual Online Learning Approach. IEEE Trans. Cybern. Pan Zhou, Weiguang Zhao, Jianghui Li, Ang Li, Wei Du, Shiping Wen
2021	J	`jnl`	Poisoning Attacks on Fair Machine Learning. CoRR Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu
2021	A*	`conf`	Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD Depeng Xu, Wei Du, Xintao Wu
2021	J	`jnl`	Robust Fairness-aware Learning Under Sample Selection Bias. CoRR Wei Du, Xintao Wu
2020	B	`conf`	A Framework to Preserve User Privacy for Machine Learning as a Service. GLOBECOM Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li
2020	B	`conf`	AdvPL: Adversarial Personalized Learning. DSAA Wei Du, Xintao Wu
2020	J	`jnl`	Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things. IEEE Internet Things J. Wei Du, Ang Li, Pan Zhou, Zichuan Xu, Xiumin Wang, Hao Jiang, Dapeng Oliver Wu
2020	J	`jnl`	Fairness-aware Agnostic Federated Learning. CoRR Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2020	J	`jnl`	PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. CoRR Ang Li, Wei Du, Qinghua Li
2020	J	`jnl`	Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR Depeng Xu, Wei Du, Xintao Wu
2020	J	`jnl`	Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach. CoRR Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du
2018	—	`conf`	PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. SecureComm (1) Ang Li, Wei Du, Qinghua Li
2018	J	`jnl`	Privacy-Preserving Multiparty Learning For Logistic Regression. CoRR Wei Du, Ang Li, Qinghua Li
2018	—	`conf`	Privacy-Preserving Multiparty Learning for Logistic Regression. SecureComm (1) Wei Du, Ang Li, Qinghua Li
2018	—	`conf`	Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. SecureComm (1) Ang Li, Wei Du, Qinghua Li
2018	J	`jnl`	Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. CoRR Ang Li, Wei Du, Qinghua Li
2017	—	`conf`	Secure and efficient outsourcing of large-scale nonlinear programming. CNS Wei Du, Qinghua Li