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Universal Efficient Variable-rate Neural Image Compression


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

* 5 pages, 5 figures 

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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

* Accepted to TKDE 

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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

* CVPR-2021 AIC Phase VI Track2: Unrestricted Adversarial Attacks on ImageNet 

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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


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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

* Competition Report 

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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


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Deep Random Forest with Ferroelectric Analog Content Addressable Memory


Oct 06, 2021
Xunzhao Yin, Franz MĂŒller, 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 KĂ€mpfe, Kai Ni

* 44 pages, 16 figures 

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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 

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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


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L3C-Stereo: Lossless Compression for Stereo Images


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


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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

* 10 pages 

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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

* Preprint submitted to Medical Image Analysis. Accepted in June 2021 

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Integrating Circle Kernels into Convolutional Neural Networks


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

* 13 pages, 6 figures 

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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


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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


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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


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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

* In ACL Findings 2021 

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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

* 17 pages, 7 figures 

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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

* IEEE TIP, to appear 

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


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


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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


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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

* 12 pages, 11 figures 

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On the Memory Mechanism of Tensor-Power Recurrent Models


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

* This work is accepted to AISTATS 2021 

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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


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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


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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


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