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 Zhi Wang

Zhi Wang

EvilModel 2.0: Hiding Malware Inside of Neural Network Models


Sep 09, 2021
Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin

Figure 1 for EvilModel 2.0: Hiding Malware Inside of Neural Network Models
Figure 2 for EvilModel 2.0: Hiding Malware Inside of Neural Network Models
Figure 3 for EvilModel 2.0: Hiding Malware Inside of Neural Network Models
Figure 4 for EvilModel 2.0: Hiding Malware Inside of Neural Network Models
* This paper is an extended version of work that was first presented in September, 2021 at the 26th IEEE Symposium on Computers and Communications (ISCC 2021). arXiv admin note: text overlap with arXiv:2107.08590 
  Access Paper or Ask Questions

EvilModel: Hiding Malware Inside of Neural Network Models


Aug 05, 2021
Zhi Wang, Chaoge Liu, Xiang Cui

Figure 1 for EvilModel: Hiding Malware Inside of Neural Network Models
Figure 2 for EvilModel: Hiding Malware Inside of Neural Network Models
Figure 3 for EvilModel: Hiding Malware Inside of Neural Network Models
Figure 4 for EvilModel: Hiding Malware Inside of Neural Network Models
* To be appear at 26th IEEE Symposium on Computers and Communications (ISCC 2021) 
  Access Paper or Ask Questions

Provably Efficient Multi-Task Reinforcement Learning with Model Transfer


Jul 19, 2021
Chicheng Zhang, Zhi Wang


  Access Paper or Ask Questions

Online Continual Adaptation with Active Self-Training


Jun 11, 2021
Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

Figure 1 for Online Continual Adaptation with Active Self-Training
Figure 2 for Online Continual Adaptation with Active Self-Training
Figure 3 for Online Continual Adaptation with Active Self-Training
Figure 4 for Online Continual Adaptation with Active Self-Training

  Access Paper or Ask Questions

Towards Efficient Compressive Data Collection in the Internet of Things


May 29, 2021
Peng Sun, Liantao Wu, Zhi Wang

Figure 1 for Towards Efficient Compressive Data Collection in the Internet of Things
Figure 2 for Towards Efficient Compressive Data Collection in the Internet of Things
Figure 3 for Towards Efficient Compressive Data Collection in the Internet of Things
Figure 4 for Towards Efficient Compressive Data Collection in the Internet of Things
* 6 pages 
  Access Paper or Ask Questions

Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation


Apr 24, 2021
Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu

Figure 1 for Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Figure 2 for Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Figure 3 for Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Figure 4 for Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation

  Access Paper or Ask Questions

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction


Apr 15, 2021
Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong

Figure 1 for Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
Figure 2 for Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
Figure 3 for Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
Figure 4 for Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
* IEEE/ASME Transactions on Mechatronics, 2021 
 * Accepted by IEEE/ASME Transactions on Mechatronics, 2021, DOI: 10.1109/TMECH.2021.3072675 
  Access Paper or Ask Questions

Deepfake Forensics via An Adversarial Game


Mar 25, 2021
Zhi Wang, Yiwen Guo, Wangmeng Zuo

Figure 1 for Deepfake Forensics via An Adversarial Game
Figure 2 for Deepfake Forensics via An Adversarial Game
Figure 3 for Deepfake Forensics via An Adversarial Game
Figure 4 for Deepfake Forensics via An Adversarial Game
* 12 pages, 4 figures 
  Access Paper or Ask Questions

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models


Mar 09, 2021
Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu

Figure 1 for Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
Figure 2 for Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
Figure 3 for Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
Figure 4 for Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
* ICSE'2021 
  Access Paper or Ask Questions

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation


Dec 07, 2020
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar

Figure 1 for HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
Figure 2 for HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
Figure 3 for HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
Figure 4 for HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
* NeurIPS 2020, Black-box optimisation challenge competition track 
  Access Paper or Ask Questions

Multitask Bandit Learning through Heterogeneous Feedback Aggregation


Oct 29, 2020
Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri

Figure 1 for Multitask Bandit Learning through Heterogeneous Feedback Aggregation
Figure 2 for Multitask Bandit Learning through Heterogeneous Feedback Aggregation
Figure 3 for Multitask Bandit Learning through Heterogeneous Feedback Aggregation
Figure 4 for Multitask Bandit Learning through Heterogeneous Feedback Aggregation

  Access Paper or Ask Questions

Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments


Oct 09, 2020
Zhi Wang, Chunlin Chen, Daoyi Dong

Figure 1 for Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Figure 2 for Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Figure 3 for Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Figure 4 for Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
* Under review, 18 pages, 12 figures 
  Access Paper or Ask Questions

AI-powered Covert Botnet Command and Control on OSNs


Sep 22, 2020
Zhi Wang, Chaoge Liu, Xiang Cui, Jialong Zhang, Di Wu, Jie Yin, Jiaxi Liu, Qixu Liu, Jinli Zhang

Figure 1 for AI-powered Covert Botnet Command and Control on OSNs
Figure 2 for AI-powered Covert Botnet Command and Control on OSNs
Figure 3 for AI-powered Covert Botnet Command and Control on OSNs
Figure 4 for AI-powered Covert Botnet Command and Control on OSNs
* 12 pages, 14 figures, 8 tables; an experiment added; discussions updated 
  Access Paper or Ask Questions

Subtask Analysis of Process Data Through a Predictive Model


Aug 29, 2020
Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying

Figure 1 for Subtask Analysis of Process Data Through a Predictive Model
Figure 2 for Subtask Analysis of Process Data Through a Predictive Model
Figure 3 for Subtask Analysis of Process Data Through a Predictive Model
Figure 4 for Subtask Analysis of Process Data Through a Predictive Model
* 34 pages, 10 figures 
  Access Paper or Ask Questions

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference


Jul 28, 2020
Zhi Wang, Chunlin Chen, Daoyi Dong

Figure 1 for Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Figure 2 for Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Figure 3 for Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Figure 4 for Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
* 18 pages, 12 figures 
  Access Paper or Ask Questions

ProcData: An R Package for Process Data Analysis


Jun 09, 2020
Xueying Tang, Susu Zhang, Zhi Wang, Jingchen Liu, Zhiliang Ying

Figure 1 for ProcData: An R Package for Process Data Analysis
Figure 2 for ProcData: An R Package for Process Data Analysis
Figure 3 for ProcData: An R Package for Process Data Analysis
Figure 4 for ProcData: An R Package for Process Data Analysis

  Access Paper or Ask Questions

Decentralized Federated Learning: A Segmented Gossip Approach


Aug 21, 2019
Chenghao Hu, Jingyan Jiang, Zhi Wang

Figure 1 for Decentralized Federated Learning: A Segmented Gossip Approach
Figure 2 for Decentralized Federated Learning: A Segmented Gossip Approach
Figure 3 for Decentralized Federated Learning: A Segmented Gossip Approach
* Accepted to the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML'19) 
  Access Paper or Ask Questions

An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder


Aug 16, 2019
Xueying Tang, Zhi Wang, Jingchen Liu, Zhiliang Ying

Figure 1 for An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
Figure 2 for An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
Figure 3 for An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
Figure 4 for An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
* 28 pages, 13 figures 
  Access Paper or Ask Questions

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images


Jul 26, 2019
Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

Figure 1 for Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Figure 2 for Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Figure 3 for Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Figure 4 for Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
* Accepted at MICCAI 2019 
  Access Paper or Ask Questions

Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach


Jun 03, 2019
Yue Xu, Wenjun Xu, Zhi Wang, Jiaru Lin, Shuguang Cui

Figure 1 for Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
Figure 2 for Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
Figure 3 for Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
Figure 4 for Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach

  Access Paper or Ask Questions

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate


Apr 24, 2018
Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai

Figure 1 for Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Figure 2 for Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Figure 3 for Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Figure 4 for Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
* accept by SIGIR-2018 
  Access Paper or Ask Questions

Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization


Dec 14, 2016
Wenlong Mou, Zhi Wang, Liwei Wang

Figure 1 for Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization

  Access Paper or Ask Questions

Online Influence Maximization in Non-Stationary Social Networks


Apr 26, 2016
Yixin Bao, Xiaoke Wang, Zhi Wang, Chuan Wu, Francis C. M. Lau

Figure 1 for Online Influence Maximization in Non-Stationary Social Networks
Figure 2 for Online Influence Maximization in Non-Stationary Social Networks
Figure 3 for Online Influence Maximization in Non-Stationary Social Networks
Figure 4 for Online Influence Maximization in Non-Stationary Social Networks
* 10 pages. To appear in IEEE/ACM IWQoS 2016. Full version 
  Access Paper or Ask Questions