Wenqi Wei

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 94

Top Topics

Differential Privacy

Top Venues

IEEE Trans. Serv. Comput.

Publications

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
Adaptive Deep Neural Network Inference Optimization with EENet. WACV (2024)
Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW (2024)
Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. CoRR (2024)
Wenqi Wei, Ling Liu
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. CoRR (2024)
Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System. CoRR (2024)
Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models. CoRR (2024)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Zhenyu Hu, Jingya Zhou, Wenqi Wei, Congcong Zhang, Yingdan Shi
Predicting cross-domain collaboration using multi-task learning. Expert Syst. Appl. 255 (2024)
Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17 (1) (2024)
Zhengshun Lei, Weiqiang Xie, Wenqi Wei, Zihao Wang, Ting Wang, Jianjun Zhang, Yikai Su
Over 100nm Wavelength Conversion Bandwidth with High Efficiency on AlGaAsOI Nonlinear Waveguides. OFC (2024)
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. CoRR (2024)
Wenqi Wei, Ling Liu
Gradient Coupling Effect of Poisoning Attacks in Federated Learning. HICSS (2024)
Ka Ho Chow, Wenqi Wei, Lei Yu
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR (2024)
Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
EENet: Learning to Early Exit for Adaptive Inference. CoRR (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR (2023)
Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei
Explicit time embedding based cascade attention network for information popularity prediction. Inf. Process. Manag. 60 (3) (2023)
Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. CoRR (2023)
Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu
Model Cloaking against Gradient Leakage. ICDM (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM (2023)
Wenqi Wei, Qinying Liu, Le Yuan, Jian Zhang, Shiyu Liu, Rui Zhou, Yongkang Luo, Xiaotao Han
Nuclear Magnetic Resonance Measurements in High Flat-Top Pulsed Magnetic Field Up to 40 T at WHMFC. IEEE Trans. Instrum. Meas. 72 (2023)
Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. SmartNets (2023)
Yingzhou Lu, Huazheng Wang, Wenqi Wei
Machine Learning for Synthetic Data Generation: a Review. CoRR (2023)
Wenqi Wei, Mu Qiao, Divyesh Jadav
GNN-Ensemble: Towards Random Decision Graph Neural Networks. CoRR (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR (2023)
Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction. CoRR (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI (2023)
Le Yuan, Zhenglei Wang, Wenqi Wei, Xiaotao Han
High-Frequency Broadband RF Transmit-Receive Switch for Pulsed Magnetic Field NMR. IEEE Trans. Instrum. Meas. 72 (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-resilient Federated Learning for Object Detection. CoRR (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD against Gradient Leakage Threats. CoRR (2023)
Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA (2023)
Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. CoRR (2023)
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. ACM Comput. Surv. 55 (2) (2023)
Wenqi Wei, Mu Qiao, Divyesh Jadav
GNN-Ensemble: Towards Random Decision Graph Neural Networks. BigData (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR (2023)
Wenqi Wei, Haibin Ouyang, Wenqiang Wu, Steven Li, Dexuan Zou
A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems. Appl. Intell. 52 (10) (2022)
Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. Big Data (2022)
Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. DSAA (2022)
Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. CoRR (2022)
Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Wenqi Wei, Ling Liu
Gradient Leakage Attack Resilient Deep Learning. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15 (1) (2022)
Wenqi Wei, Haibin Ouyang, Steven Li, Xuanbo Zhao, Dexuan Zou
A modified fireworks algorithm with dynamic search interval based on closed-loop control. Math. Comput. Simul. 200 (2022)
Wenqi Wei, Ling Liu
Gradient Leakage Attack Resilient Deep Learning. CoRR (2021)
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
Gradient-Leakage Resilient Federated Learning. CoRR (2021)
Wenqi Wei, Qi Zhang, Ling Liu
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao
When Hearing the Voice, Who Will Come to Your Mind. IJCNN (2021)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR (2021)
Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14 (6) (2021)
Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao
CACnet: Cube Attentional CNN for Automatic Speech Recognition. IJCNN (2021)
Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. Interspeech (2021)
Wenqi Wei, Ling Liu
Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. 18 (4) (2021)
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
Gradient-Leakage Resilient Federated Learning. ICDCS (2021)
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. CoRR (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA (2021)
Wenqi Wei, Haibin Ouyang, Chunliang Zhang, Steven Li, Liyun Fu, Liqun Gao
Dynamic Collaborative Fireworks Algorithm and its applications in robust pole assignment optimization. Appl. Soft Comput. 100 (2021)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA (2020)
Wenqi Wei, Jianzong Wang, Ning Cheng, Yuanxu Chen, Bao Zhou, Jing Xiao
Epidemic Guard: A COVID-19 Detection System for Elderly People. APWeb/WAIM (2) (2020)
Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection. INTERSPEECH (2020)
Wenqi Wei, Qi Zhang, Ling Liu
Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) (2020)
Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens. CoRR (2020)
Wenqi Wei, Ling Liu
Robust Deep Learning Ensemble against Deception. CoRR (2020)
Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao
A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection. CoRR (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData (2019)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR (2019)
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS (2018)
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS (2018)
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR (2018)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Towards Demystifying Membership Inference Attacks. CoRR (2018)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR (2018)
Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu, Qian Wang
Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. IEEE J. Sel. Areas Commun. 35 (2) (2017)
Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu
Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. CoRR (2016)