Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Wenqi Wei

Wenqi Wei

Speech2Video: Cross-Modal Distillation for Speech to Video Generation


Jul 10, 2021
Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao

Figure 1 for Speech2Video: Cross-Modal Distillation for Speech to Video Generation
Figure 2 for Speech2Video: Cross-Modal Distillation for Speech to Video Generation
Figure 3 for Speech2Video: Cross-Modal Distillation for Speech to Video Generation
Figure 4 for Speech2Video: Cross-Modal Distillation for Speech to Video Generation
* Accepted by InterSpeech2021 
  Access Paper or Ask Questions

Gradient-Leakage Resilient Federated Learning


Jul 02, 2021
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

Figure 1 for Gradient-Leakage Resilient Federated Learning
Figure 2 for Gradient-Leakage Resilient Federated Learning
Figure 3 for Gradient-Leakage Resilient Federated Learning
Figure 4 for Gradient-Leakage Resilient Federated Learning

  Access Paper or Ask Questions

Promoting High Diversity Ensemble Learning with EnsembleBench


Oct 20, 2020
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka-Ho Chow, Wenqi Wei

Figure 1 for Promoting High Diversity Ensemble Learning with EnsembleBench
Figure 2 for Promoting High Diversity Ensemble Learning with EnsembleBench
Figure 3 for Promoting High Diversity Ensemble Learning with EnsembleBench
Figure 4 for Promoting High Diversity Ensemble Learning with EnsembleBench

  Access Paper or Ask Questions

Robust Deep Learning Ensemble against Deception


Sep 14, 2020
Wenqi Wei, Ling Liu

Figure 1 for Robust Deep Learning Ensemble against Deception
Figure 2 for Robust Deep Learning Ensemble against Deception
Figure 3 for Robust Deep Learning Ensemble against Deception
Figure 4 for Robust Deep Learning Ensemble against Deception

  Access Paper or Ask Questions

A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection


Aug 18, 2020
Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao

Figure 1 for A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
Figure 2 for A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
Figure 3 for A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
Figure 4 for A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
* will be presented in INTERSPEECH 2020 
  Access Paper or Ask Questions

Bitcoin Transaction Forecasting with Deep Network Representation Learning


Jul 15, 2020
Wenqi Wei, Qi Zhang, Ling Liu

Figure 1 for Bitcoin Transaction Forecasting with Deep Network Representation Learning
Figure 2 for Bitcoin Transaction Forecasting with Deep Network Representation Learning
Figure 3 for Bitcoin Transaction Forecasting with Deep Network Representation Learning
Figure 4 for Bitcoin Transaction Forecasting with Deep Network Representation Learning

  Access Paper or Ask Questions

Understanding Object Detection Through An Adversarial Lens


Jul 11, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Figure 1 for Understanding Object Detection Through An Adversarial Lens
Figure 2 for Understanding Object Detection Through An Adversarial Lens
Figure 3 for Understanding Object Detection Through An Adversarial Lens
Figure 4 for Understanding Object Detection Through An Adversarial Lens

  Access Paper or Ask Questions

LDP-Fed: Federated Learning with Local Differential Privacy


Jun 05, 2020
Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

Figure 1 for LDP-Fed: Federated Learning with Local Differential Privacy
Figure 2 for LDP-Fed: Federated Learning with Local Differential Privacy
Figure 3 for LDP-Fed: Federated Learning with Local Differential Privacy
Figure 4 for LDP-Fed: Federated Learning with Local Differential Privacy

  Access Paper or Ask Questions

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning


Apr 23, 2020
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Figure 1 for A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Figure 2 for A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Figure 3 for A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Figure 4 for A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

  Access Paper or Ask Questions

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


Apr 09, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Figure 1 for TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Figure 2 for TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Figure 3 for TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Figure 4 for TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems

  Access Paper or Ask Questions

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability


Nov 21, 2019
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu

Figure 1 for Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Figure 2 for Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Figure 3 for Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Figure 4 for Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

  Access Paper or Ask Questions

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples


Oct 01, 2019
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu

Figure 1 for Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Figure 2 for Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Figure 3 for Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Figure 4 for Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
* To appear in IEEE ICNC 2020 
  Access Paper or Ask Questions

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


Aug 29, 2019
Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu

Figure 1 for Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Figure 2 for Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Figure 3 for Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
* To appear in IEEE MASS 2019 
  Access Paper or Ask Questions

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


Aug 21, 2019
Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

Figure 1 for Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Figure 2 for Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Figure 3 for Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Figure 4 for Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks

  Access Paper or Ask Questions

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


Aug 18, 2019
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang

Figure 1 for Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Figure 2 for Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Figure 3 for Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Figure 4 for Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks

  Access Paper or Ask Questions

A Comparative Measurement Study of Deep Learning as a Service Framework


Oct 29, 2018
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang

Figure 1 for A Comparative Measurement Study of Deep Learning as a Service Framework
Figure 2 for A Comparative Measurement Study of Deep Learning as a Service Framework
Figure 3 for A Comparative Measurement Study of Deep Learning as a Service Framework
Figure 4 for A Comparative Measurement Study of Deep Learning as a Service Framework

  Access Paper or Ask Questions

Adversarial Examples in Deep Learning: Characterization and Divergence


Oct 29, 2018
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu

Figure 1 for Adversarial Examples in Deep Learning: Characterization and Divergence
Figure 2 for Adversarial Examples in Deep Learning: Characterization and Divergence
Figure 3 for Adversarial Examples in Deep Learning: Characterization and Divergence
Figure 4 for Adversarial Examples in Deep Learning: Characterization and Divergence

  Access Paper or Ask Questions