Wenqi Wei

According to our database, Wenqi Wei authored at least 62 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Hierarchical Pruning of Deep Ensembles with Focal Diversity.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

ACM Trans. Intell. Syst. Technol., February, 2024

Demystifying Data Poisoning Attacks in Distributed Learning as a Service.

Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu

IEEE Trans. Serv. Comput., 2024

Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance.

Wenqi Wei, Ling Liu

CoRR, 2024

FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models.

Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei

CoRR, 2024

Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control.

Ka Ho Chow, Wenqi Wei, Lei Yu

CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Gradient Coupling Effect of Poisoning Attacks in Federated Learning.

Wenqi Wei, Ling Liu

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Securing Distributed SGD Against Gradient Leakage Threats.

Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu

IEEE Trans. Parallel Distributed Syst., July, 2023

Explicit time embedding based cascade attention network for information popularity prediction.

Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei

Inf. Process. Manag., May, 2023

Adversarial Resilient and Privacy Preserving Deep learning.

Wenqi Wei

PhD thesis, 2023

High-Frequency Broadband RF Transmit-Receive Switch for Pulsed Magnetic Field NMR.

Le Yuan, Zhenglei Wang, Wenqi Wei, Xiaotao Han

IEEE Trans. Instrum. Meas., 2023

Nuclear Magnetic Resonance Measurements in High Flat-Top Pulsed Magnetic Field Up to 40 T at WHMFC.

Wenqi Wei, Qinying Liu, Le Yuan, Jian Zhang, Shiyu Liu, Rui Zhou, Yongkang Luo, Xiaotao Han

IEEE Trans. Instrum. Meas., 2023

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding.

Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan

ACM Comput. Surv., 2023

Machine Learning for Synthetic Data Generation: a Review.

Yingzhou Lu, Huazheng Wang, Wenqi Wei

CoRR, 2023

EENet: Learning to Early Exit for Adaptive Inference.

Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

CoRR, 2023

Invisible Watermarking for Audio Generation Diffusion Models.

Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei

Proceedings of the 5th IEEE International Conference on Trust, 2023

Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats.

Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu

Proceedings of the International Conference on Smart Applications, 2023

Model Cloaking against Gradient Leakage.

Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection.

Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Learning Rate Tuning in the Era of Large Language Models.

Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

GNN-Ensemble: Towards Random Decision Graph Neural Networks.

Wenqi Wei, Mu Qiao, Divyesh Jadav

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Comparative Measurement Study of Deep Learning as a Service Framework.

Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang

IEEE Trans. Serv. Comput., 2022

Gradient Leakage Attack Resilient Deep Learning.

Wenqi Wei, Ling Liu

IEEE Trans. Inf. Forensics Secur., 2022

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy.

Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei

IEEE Trans. Inf. Forensics Secur., 2022

A modified fireworks algorithm with dynamic search interval based on closed-loop control.

Wenqi Wei, Haibin Ouyang, Steven Li, Xuanbo Zhao, Dexuan Zou

Math. Comput. Simul., 2022

A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems.

Wenqi Wei, Haibin Ouyang, Wenqiang Wu, Steven Li, Dexuan Zou

Appl. Intell., 2022

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition.

Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks.

Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Demystifying Membership Inference Attacks in Machine Learning as a Service.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

IEEE Trans. Serv. Comput., 2021

Bitcoin Transaction Forecasting With Deep Network Representation Learning.

Wenqi Wei, Qi Zhang, Ling Liu

IEEE Trans. Emerg. Top. Comput., 2021

Robust Deep Learning Ensemble Against Deception.

Wenqi Wei, Ling Liu

IEEE Trans. Dependable Secur. Comput., 2021

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy.

Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu

IEEE Trans. Dependable Secur. Comput., 2021

Dynamic Collaborative Fireworks Algorithm and its applications in robust pole assignment optimization.

Wenqi Wei, Haibin Ouyang, Chunliang Zhang, Steven Li, Liyun Fu, Liqun Gao

Appl. Soft Comput., 2021

The TSC-PFed Architecture for Privacy-Preserving FL.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation.

Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

CACnet: Cube Attentional CNN for Automatic Speech Recognition.

Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2021

When Hearing the Voice, Who Will Come to Your Mind.

Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2021

Gradient-Leakage Resilient Federated Learning.

Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

CoRR, 2020

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection.

Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao

Proceedings of the Interspeech 2020, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the International Conference on Computing, Networking and Communications, 2020

LDP-Fed: federated learning with local differential privacy.

Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Promoting High Diversity Ensemble Learning with EnsembleBench.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Epidemic Guard: A COVID-19 Detection System for Elderly People.

Wenqi Wei, Jianzong Wang, Ning Cheng, Yuanxu Chen, Bao Zhou, Jing Xiao

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks.

Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang

CoRR, 2019

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu

Proceedings of the First IEEE International Conference on Trust, 2019

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness.

Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks.

Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks.

Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Towards Demystifying Membership Inference Attacks.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

CoRR, 2018

Adversarial Examples in Deep Learning: Characterization and Divergence.

Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy

CoRR, 2018

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond.

Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces.

Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing.

Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu, Qian Wang

IEEE J. Sel. Areas Commun., 2017

2016

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing.

Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu

CoRR, 2016