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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification

Nov 18, 2020
Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang

* Under review of TPAMI 

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Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

Oct 13, 2020
Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu


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Physical Adversarial Attack on Vehicle Detector in the Carla Simulator

Aug 07, 2020
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang


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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

Jul 25, 2020
Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

* To appear in ECCV 2020 as a spotlight presentation. Code and models are available at: https://github.com/wutong16/DistributionBalancedLoss 

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Towards Robust Sensor Fusion in Visual Perception

Jun 23, 2020
Shaojie Wang, Tong Wu, Yevgeniy Vorobeychik


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Meta Segmentation Network for Ultra-Resolution Medical Images

Feb 19, 2020
Tong Wu, Yuan Xie, Yanyun Qu, Bicheng Dai, Shuxin Chen


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Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

Oct 07, 2019
Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

* 5 pages, 2 figures, NeurIPS 2019 Graph Representation Learning Workshop 

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Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning

Sep 26, 2019
Yue Wang, Tong Wu, Yunlong Wang, Gao Wang

* 12 pages, accepted by Pacific Symposium on Biocomputing (PSB) 2020 

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Defending Against Physically Realizable Attacks on Image Classification

Sep 20, 2019
Tong Wu, Liang Tong, Yevgeniy Vorobeychik

* v1.0 

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SDM-NET: Deep Generative Network for Structured Deformable Mesh

Sep 03, 2019
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang

* Conditionally Accepted to Siggraph Asia 2019 

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AIBench: An Industry Standard Internet Service AI Benchmark Suite

Aug 13, 2019
Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye

* 24 pages 

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A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning

Jul 05, 2019
Tong Wu, Yang Gu, Yiqiang Chen, Yunlong Xiao, Jiwei Wang

* 7 pages 

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Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

Jul 01, 2019
Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

* 5 pages, 3 figures, accepted by ICML 2019 Time Series Workshop 

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Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording

Sep 17, 2018
Tong Wu, Wenfeng Zhao, Edward Keefer, Zhi Yang

* 19 pages, 13 figures 

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Human Action Attribute Learning From Video Data Using Low-Rank Representations

Dec 23, 2016
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

* Submitted for journal publication 

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Learning the nonlinear geometry of high-dimensional data: Models and algorithms

Aug 10, 2015
Tong Wu, Waheed U. Bajwa

* IEEE Trans. Signal Processing, vol. 63, no. 23, pp. 6229-6244, Dec. 2015 
* Extended version of the journal paper accepted for publication in IEEE Trans. Signal Processing (20 pages, 7 figures, 4 tables) 

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Painting Analysis Using Wavelets and Probabilistic Topic Models

Jan 26, 2014
Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank

* 5 pages, 4 figures, ICIP 2013 

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