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

Universal Efficient Variable-rate Neural Image Compression


Dec 01, 2021
Shanzhi Yin, Chao Li, Youneng Bao, Yongshang Liang

Figure 1 for Universal Efficient Variable-rate Neural Image Compression
Figure 2 for Universal Efficient Variable-rate Neural Image Compression
Figure 3 for Universal Efficient Variable-rate Neural Image Compression
Figure 4 for Universal Efficient Variable-rate Neural Image Compression
* 5 pages, 5 figures 
  Access Paper or Ask Questions

Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning


Nov 11, 2021
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu

Figure 1 for Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Figure 2 for Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Figure 3 for Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Figure 4 for Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
* Accepted to TKDE 
  Access Paper or Ask Questions

Unrestricted Adversarial Attacks on ImageNet Competition


Oct 25, 2021
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

Figure 1 for Unrestricted Adversarial Attacks on ImageNet Competition
Figure 2 for Unrestricted Adversarial Attacks on ImageNet Competition
Figure 3 for Unrestricted Adversarial Attacks on ImageNet Competition
* CVPR-2021 AIC Phase VI Track2: Unrestricted Adversarial Attacks on ImageNet 
  Access Paper or Ask Questions

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems


Oct 16, 2021
Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao

Figure 1 for Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Figure 2 for Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Figure 3 for Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Figure 4 for Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems

  Access Paper or Ask Questions

Adversarial Attacks on ML Defense Models Competition


Oct 15, 2021
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, XiaoFeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen

Figure 1 for Adversarial Attacks on ML Defense Models Competition
Figure 2 for Adversarial Attacks on ML Defense Models Competition
Figure 3 for Adversarial Attacks on ML Defense Models Competition
Figure 4 for Adversarial Attacks on ML Defense Models Competition
* Competition Report 
  Access Paper or Ask Questions

Ego4D: Around the World in 3,000 Hours of Egocentric Video


Oct 13, 2021
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

Figure 1 for Ego4D: Around the World in 3,000 Hours of Egocentric Video
Figure 2 for Ego4D: Around the World in 3,000 Hours of Egocentric Video
Figure 3 for Ego4D: Around the World in 3,000 Hours of Egocentric Video
Figure 4 for Ego4D: Around the World in 3,000 Hours of Egocentric Video

  Access Paper or Ask Questions

Deep Random Forest with Ferroelectric Analog Content Addressable Memory


Oct 06, 2021
Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

Figure 1 for Deep Random Forest with Ferroelectric Analog Content Addressable Memory
Figure 2 for Deep Random Forest with Ferroelectric Analog Content Addressable Memory
Figure 3 for Deep Random Forest with Ferroelectric Analog Content Addressable Memory
Figure 4 for Deep Random Forest with Ferroelectric Analog Content Addressable Memory
* 44 pages, 16 figures 
  Access Paper or Ask Questions

Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks


Sep 10, 2021
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price

* Accepted by Brain Lesion Workshop 
  Access Paper or Ask Questions

Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma


Aug 21, 2021
Yifan Li, Chao Li, Yiran Wei, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen

Figure 1 for Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Figure 2 for Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Figure 3 for Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Figure 4 for Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma

  Access Paper or Ask Questions

L3C-Stereo: Lossless Compression for Stereo Images


Aug 21, 2021
Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li

Figure 1 for L3C-Stereo: Lossless Compression for Stereo Images
Figure 2 for L3C-Stereo: Lossless Compression for Stereo Images
Figure 3 for L3C-Stereo: Lossless Compression for Stereo Images
Figure 4 for L3C-Stereo: Lossless Compression for Stereo Images

  Access Paper or Ask Questions

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model


Aug 10, 2021
Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou

Figure 1 for End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Figure 2 for End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Figure 3 for End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Figure 4 for End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
* 10 pages 
  Access Paper or Ask Questions

Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean


Aug 10, 2021
Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy

Figure 1 for Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Figure 2 for Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Figure 3 for Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Figure 4 for Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
* Preprint submitted to Medical Image Analysis. Accepted in June 2021 
  Access Paper or Ask Questions

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