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 Jian Chen

Jian Chen

Secure Hybrid Beamforming for IRS-Assisted Millimeter Wave Systems


Jan 09, 2022
Xuan Xue, Yongchao Wang, Long Yang, Jian Chen

Figure 1 for Secure Hybrid Beamforming for IRS-Assisted Millimeter Wave Systems
Figure 2 for Secure Hybrid Beamforming for IRS-Assisted Millimeter Wave Systems

  Access Paper or Ask Questions

Forex Trading Volatility Prediction using Neural Network Models


Dec 03, 2021
Shujian Liao, Jian Chen, Hao Ni

Figure 1 for Forex Trading Volatility Prediction using Neural Network Models
Figure 2 for Forex Trading Volatility Prediction using Neural Network Models
Figure 3 for Forex Trading Volatility Prediction using Neural Network Models
Figure 4 for Forex Trading Volatility Prediction using Neural Network Models

  Access Paper or Ask Questions

Forex Trading Volatility Prediction using NeuralNetwork Models


Dec 02, 2021
Shujian Liao, Jian Chen, Hao Ni

Figure 1 for Forex Trading Volatility Prediction using NeuralNetwork Models
Figure 2 for Forex Trading Volatility Prediction using NeuralNetwork Models
Figure 3 for Forex Trading Volatility Prediction using NeuralNetwork Models
Figure 4 for Forex Trading Volatility Prediction using NeuralNetwork Models

  Access Paper or Ask Questions

Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation


Nov 25, 2021
Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang

Figure 1 for Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
Figure 2 for Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
Figure 3 for Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
Figure 4 for Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
* ACM MultiMedia 2021.Project: https://wrong.wang/x/Control-Units-in-StyleGAN2/ 
  Access Paper or Ask Questions

A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy


Nov 11, 2021
Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li

Figure 1 for A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Figure 2 for A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Figure 3 for A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Figure 4 for A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy

  Access Paper or Ask Questions

A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems


Nov 03, 2021
Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li

Figure 1 for A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems
Figure 2 for A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems
Figure 3 for A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems
Figure 4 for A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems

  Access Paper or Ask Questions

Adaptive Multi-layer Contrastive Graph Neural Networks


Sep 29, 2021
Shuhao Shi, Pengfei Xie, Xu Luo, Kai Qiao, Linyuan Wang, Jian Chen, Bin Yan

Figure 1 for Adaptive Multi-layer Contrastive Graph Neural Networks
Figure 2 for Adaptive Multi-layer Contrastive Graph Neural Networks
Figure 3 for Adaptive Multi-layer Contrastive Graph Neural Networks
Figure 4 for Adaptive Multi-layer Contrastive Graph Neural Networks
* 16 pages,7 figures 
  Access Paper or Ask Questions

Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM


Sep 24, 2021
Mingyang Zhang, Jie Jia, Jian Chen

Figure 1 for Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
Figure 2 for Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
Figure 3 for Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
Figure 4 for Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM

  Access Paper or Ask Questions

Content-Aware Convolutional Neural Networks


Jul 23, 2021
Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang

Figure 1 for Content-Aware Convolutional Neural Networks
Figure 2 for Content-Aware Convolutional Neural Networks
Figure 3 for Content-Aware Convolutional Neural Networks
Figure 4 for Content-Aware Convolutional Neural Networks
* Accepted by Neural Networks 
  Access Paper or Ask Questions

Document Domain Randomization for Deep Learning Document Layout Extraction


May 20, 2021
Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles

Figure 1 for Document Domain Randomization for Deep Learning Document Layout Extraction
Figure 2 for Document Domain Randomization for Deep Learning Document Layout Extraction
Figure 3 for Document Domain Randomization for Deep Learning Document Layout Extraction
Figure 4 for Document Domain Randomization for Deep Learning Document Layout Extraction
* Main paper to appear in ICDAR 2021 (16th International Conference on Document Analysis and Recognition). This version contains additional materials. The associated test data is hosted on IEEE Data Port: http://doi.org/10.21227/326q-bf39 
  Access Paper or Ask Questions

De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks


May 08, 2021
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu

Figure 1 for De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Figure 2 for De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Figure 3 for De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Figure 4 for De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
* To be published in IEEE Transactions on Information Forensics and Security 
  Access Paper or Ask Questions

Internal Wasserstein Distance for Adversarial Attack and Defense


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Shuhai Zhang, Yanwu Xu, Jian Chen, Mingkui Tan

Figure 1 for Internal Wasserstein Distance for Adversarial Attack and Defense
Figure 2 for Internal Wasserstein Distance for Adversarial Attack and Defense
Figure 3 for Internal Wasserstein Distance for Adversarial Attack and Defense
Figure 4 for Internal Wasserstein Distance for Adversarial Attack and Defense

  Access Paper or Ask Questions

Learning Defense Transformers for Counterattacking Adversarial Examples


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan

Figure 1 for Learning Defense Transformers for Counterattacking Adversarial Examples
Figure 2 for Learning Defense Transformers for Counterattacking Adversarial Examples
Figure 3 for Learning Defense Transformers for Counterattacking Adversarial Examples
Figure 4 for Learning Defense Transformers for Counterattacking Adversarial Examples

  Access Paper or Ask Questions

Digital Interference Mitigation in Space Division Multiplexing Self-Homodyne Coherent Detection


Feb 28, 2021
Hanzi Huang, Yetian Huang, Haoshuo Chen, Qianwu Zhang, Jian Chen, Nicolas K. Fontaine, Mikael Mazur, Roland Ryf, Junho Cho, Yingxiong Song

Figure 1 for Digital Interference Mitigation in Space Division Multiplexing Self-Homodyne Coherent Detection
Figure 2 for Digital Interference Mitigation in Space Division Multiplexing Self-Homodyne Coherent Detection
Figure 3 for Digital Interference Mitigation in Space Division Multiplexing Self-Homodyne Coherent Detection
* 2 pages, 3 figures, submitted to OFC 2021 
  Access Paper or Ask Questions

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets


Feb 27, 2021
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

Figure 1 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 2 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 3 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 4 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
* 8 pages 
  Access Paper or Ask Questions

Towards Accurate and Compact Architectures via Neural Architecture Transformer


Feb 20, 2021
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

Figure 1 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 2 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 3 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 4 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
* Extension of NAT 
  Access Paper or Ask Questions

VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications


Jan 11, 2021
Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

* 12 pages 
  Access Paper or Ask Questions

VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications


Jan 06, 2021
Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

* 12 pages 
  Access Paper or Ask Questions

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking


Dec 14, 2020
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengmin Li, Min Yang, Yang Sun, Guoxiao Zhang

Figure 1 for StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Figure 2 for StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Figure 3 for StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Figure 4 for StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking

  Access Paper or Ask Questions

Defense-guided Transferable Adversarial Attacks


Nov 04, 2020
Zifei Zhang, Kai Qiao, Jian Chen, Ningning Liang

Figure 1 for Defense-guided Transferable Adversarial Attacks
Figure 2 for Defense-guided Transferable Adversarial Attacks
Figure 3 for Defense-guided Transferable Adversarial Attacks
Figure 4 for Defense-guided Transferable Adversarial Attacks

  Access Paper or Ask Questions

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task


Oct 17, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

Figure 1 for Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
Figure 2 for Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
Figure 3 for Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
Figure 4 for Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
* 12 pages, 18 figures 
  Access Paper or Ask Questions

Double Forward Propagation for Memorized Batch Normalization


Oct 10, 2020
Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

Figure 1 for Double Forward Propagation for Memorized Batch Normalization
Figure 2 for Double Forward Propagation for Memorized Batch Normalization
Figure 3 for Double Forward Propagation for Memorized Batch Normalization
Figure 4 for Double Forward Propagation for Memorized Batch Normalization
* AAAI2018, 8 pages, 3 figures 
  Access Paper or Ask Questions

Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task


Sep 30, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

Figure 1 for Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
Figure 2 for Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
Figure 3 for Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
Figure 4 for Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
* 12 pages, 18 figures 
  Access Paper or Ask Questions

Conditional Automated Channel Pruning for Deep Neural Networks


Sep 27, 2020
Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen

Figure 1 for Conditional Automated Channel Pruning for Deep Neural Networks
Figure 2 for Conditional Automated Channel Pruning for Deep Neural Networks

  Access Paper or Ask Questions

Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps


Sep 26, 2020
Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia

Figure 1 for Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Figure 2 for Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Figure 3 for Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Figure 4 for Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
* Accepted to NeurIPS 2020 
  Access Paper or Ask Questions