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 Chao Li

Chao Li

Integrating Circle Kernels into Convolutional Neural Networks


Jul 07, 2021
Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft

Figure 1 for Integrating Circle Kernels into Convolutional Neural Networks
Figure 2 for Integrating Circle Kernels into Convolutional Neural Networks
Figure 3 for Integrating Circle Kernels into Convolutional Neural Networks
Figure 4 for Integrating Circle Kernels into Convolutional Neural Networks
* 13 pages, 6 figures 
  Access Paper or Ask Questions

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy


Jul 05, 2021
Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu

Figure 1 for Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Figure 2 for Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Figure 3 for Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Figure 4 for Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy

  Access Paper or Ask Questions

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery


May 29, 2021
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li

Figure 1 for Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Figure 2 for Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Figure 3 for Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Figure 4 for Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

  Access Paper or Ask Questions

Egocentric Activity Recognition and Localization on a 3D Map


May 27, 2021
Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li

Figure 1 for Egocentric Activity Recognition and Localization on a 3D Map
Figure 2 for Egocentric Activity Recognition and Localization on a 3D Map
Figure 3 for Egocentric Activity Recognition and Localization on a 3D Map
Figure 4 for Egocentric Activity Recognition and Localization on a 3D Map

  Access Paper or Ask Questions

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking


May 26, 2021
Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang, Xian-Ling Mao

Figure 1 for Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Figure 2 for Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Figure 3 for Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Figure 4 for Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
* In ACL Findings 2021 
  Access Paper or Ask Questions

Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network


May 04, 2021
Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

Figure 1 for Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
Figure 2 for Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
Figure 3 for Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
Figure 4 for Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
* 17 pages, 7 figures 
  Access Paper or Ask Questions

Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness


Apr 28, 2021
Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang

Figure 1 for Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
Figure 2 for Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
Figure 3 for Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
Figure 4 for Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
* IEEE TIP, to appear 
  Access Paper or Ask Questions

BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification


Mar 10, 2021
Chao Li, Yiran Wei, Xi Chen

Figure 1 for BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
Figure 2 for BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
Figure 3 for BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
Figure 4 for BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification

  Access Paper or Ask Questions

Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction


Mar 10, 2021
Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert Sabuncu, Thanh D. Nguyen, Yi Wang

Figure 1 for Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
Figure 2 for Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
Figure 3 for Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
Figure 4 for Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction

  Access Paper or Ask Questions

NeRD: Neural Representation of Distribution for Medical Image Segmentation


Mar 06, 2021
Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang

Figure 1 for NeRD: Neural Representation of Distribution for Medical Image Segmentation
Figure 2 for NeRD: Neural Representation of Distribution for Medical Image Segmentation
Figure 3 for NeRD: Neural Representation of Distribution for Medical Image Segmentation
Figure 4 for NeRD: Neural Representation of Distribution for Medical Image Segmentation
* 12 pages, 11 figures 
  Access Paper or Ask Questions

On the Memory Mechanism of Tensor-Power Recurrent Models


Mar 02, 2021
Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao

Figure 1 for On the Memory Mechanism of Tensor-Power Recurrent Models
Figure 2 for On the Memory Mechanism of Tensor-Power Recurrent Models
Figure 3 for On the Memory Mechanism of Tensor-Power Recurrent Models
Figure 4 for On the Memory Mechanism of Tensor-Power Recurrent Models
* This work is accepted to AISTATS 2021 
  Access Paper or Ask Questions

Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma


Jan 22, 2021
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb

Figure 1 for Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
Figure 2 for Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
Figure 3 for Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
Figure 4 for Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma

  Access Paper or Ask Questions

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times


Jan 11, 2021
Yao Fu, Yipeng Zhou, Di Wu, Shui Yu, Yonggang Wen, Chao Li

Figure 1 for On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Figure 2 for On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Figure 3 for On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Figure 4 for On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

  Access Paper or Ask Questions

Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation


Jan 04, 2021
Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C. -C. Jay Kuo

Figure 1 for Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Figure 2 for Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Figure 3 for Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Figure 4 for Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation

  Access Paper or Ask Questions

Improving BERT with Syntax-aware Local Attention


Dec 30, 2020
Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao

Figure 1 for Improving BERT with Syntax-aware Local Attention
Figure 2 for Improving BERT with Syntax-aware Local Attention
Figure 3 for Improving BERT with Syntax-aware Local Attention
Figure 4 for Improving BERT with Syntax-aware Local Attention

  Access Paper or Ask Questions

NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets


Dec 18, 2020
Runhua Xu, James Joshi, Chao Li

Figure 1 for NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
Figure 2 for NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
Figure 3 for NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
Figure 4 for NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets

  Access Paper or Ask Questions

Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients


Dec 05, 2020
Yifan Li, Chao Li, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen

Figure 1 for Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
Figure 2 for Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
Figure 3 for Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients

  Access Paper or Ask Questions

Channel Pruning via Multi-Criteria based on Weight Dependency


Nov 06, 2020
Yangchun Yan, Chao Li, Rongzuo Guo, Kang Yang, Yongjun Xu

Figure 1 for Channel Pruning via Multi-Criteria based on Weight Dependency
Figure 2 for Channel Pruning via Multi-Criteria based on Weight Dependency
Figure 3 for Channel Pruning via Multi-Criteria based on Weight Dependency
Figure 4 for Channel Pruning via Multi-Criteria based on Weight Dependency

  Access Paper or Ask Questions

How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention


Nov 03, 2020
Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo

Figure 1 for How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention
Figure 2 for How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention
Figure 3 for How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention
Figure 4 for How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention

  Access Paper or Ask Questions

Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration


Oct 24, 2020
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang

Figure 1 for Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Figure 2 for Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Figure 3 for Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Figure 4 for Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
* Accepted to TPAMI 
  Access Paper or Ask Questions

Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation


Sep 14, 2020
Guanghao Yin, Shouqian Sun, Chao Li, Xin Min

Figure 1 for Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Figure 2 for Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Figure 3 for Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Figure 4 for Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation

  Access Paper or Ask Questions

Architectural Implications of Graph Neural Networks


Sep 02, 2020
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo

Figure 1 for Architectural Implications of Graph Neural Networks
Figure 2 for Architectural Implications of Graph Neural Networks
Figure 3 for Architectural Implications of Graph Neural Networks
Figure 4 for Architectural Implications of Graph Neural Networks
* in IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 59-62, 1 Jan.-June 2020 
 * 4 pages, published in IEEE Computer Architecture Letters (CAL) 2020 
  Access Paper or Ask Questions

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition


Jul 29, 2020
Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang

Figure 1 for Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Figure 2 for Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Figure 3 for Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Figure 4 for Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
* accepted by ACMMM2020 
  Access Paper or Ask Questions

Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction


Jul 14, 2020
Chao Li, Xiaohu Guo

Figure 1 for Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
Figure 2 for Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
Figure 3 for Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
Figure 4 for Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
* European Conference on Computer Vision 2020 
  Access Paper or Ask Questions

PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration


Jun 23, 2020
Jianrong Xu, Chao Li, Bifeng Cui, Kang Yang, Yongjun Xu

Figure 1 for PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Figure 2 for PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Figure 3 for PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Figure 4 for PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration

  Access Paper or Ask Questions

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results


May 06, 2020
Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen

Figure 1 for NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Figure 2 for NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Figure 3 for NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Figure 4 for NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 
  Access Paper or Ask Questions

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results


May 03, 2020
Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P S, Densen Puthussery, Jiji C V

Figure 1 for NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Figure 2 for NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Figure 3 for NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Figure 4 for NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
* CVPRW 2020 
  Access Paper or Ask Questions