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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge


Apr 09, 2021
Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin

* Presented at the AMIA 2021 Virtual Informatics Summit 

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DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network


Mar 19, 2021
Xizhe Xue, Ying Li, Xiaoyue Yin, Qiang Shen


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Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply


Feb 10, 2021
Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya

* 17 pages, 9 figures. Under review by TMC 

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A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings


Feb 08, 2021
Ying Li, Weipan Xu, Haohui Chen, Junhao Jiang, Xun Li

* 6 figures 

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3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification


Jan 12, 2021
Haokui Zhang, Chengrong Gong, Yunpeng Bai, Zongwen Bai, Ying Li

* 19 pages, 13 figures 

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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration


Dec 28, 2020
Haokui Zhang, Ying Li, Chengrong Gong, Hao Chen, Zongwen Bai, Chunhua Shen

* 20 pages 

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A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems


Dec 25, 2020
Huimei Han, Lushun Fang, Weidang Lu, Wenchao Zhai, Ying Li, Jun Zhao


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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning


Dec 07, 2020
Haokui Zhang, Ying Li, Yenan Jiang, Peng Wang, Qiang Shen, Chunhua Shen

* IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(8): 5813-5828 
* 16 pages. Accepted to IEEE Trans. Geosci. Remote Sens. Code is available at: https://github.com/hkzhang91/LWNet 

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Cirrus: A Long-range Bi-pattern LiDAR Dataset


Dec 05, 2020
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu


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Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map


Nov 25, 2020
Xizhe Xue, Ying Li, Qiang Shen


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3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics


Nov 18, 2020
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang

* Project page: https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset 

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UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks


Oct 21, 2020
Weikai Tan, Dedong Zhang, Lingfei Ma, Ying Li, Lanying Wang, Jonathan Li


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Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network


Aug 04, 2020
Yenan Jiang, Ying Li, Shanrong Zou, Haokui Zhang, Yunpeng Bai


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Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network


Jul 24, 2020
Lingyi Liu, Yunpeng Bai, Ying Li

* 5 pages, 8 figures 

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Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine


Jul 11, 2020
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

* KDD 2020 applied data science track 

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Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review


May 20, 2020
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman

* 21 pages, submitted to IEEE Transactions on Neural Networks and Learning Systems 

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FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network


May 15, 2020
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nunez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjoberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury

* 5 pages, 6 figures, 5 tables, IEEE Asilomar SSC 

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Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways


Apr 16, 2020
Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li

* Toronto-3D dataset can be downloaded at https://github.com/WeikaiTan/Toronto-3D 

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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning


Feb 11, 2020
Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid

* 8 pages 

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Range Adaptation for 3D Object Detection in LiDAR


Sep 26, 2019
Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu


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IR-NAS: Neural Architecture Search for Image Restoration


Sep 22, 2019
Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen


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Learning Action-Transferable Policy with Action Embedding


Sep 06, 2019
Yu Chen, Yingfeng Chen, Yu Yang, Ying Li, Jianwei Yin, Changjie Fan


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Exploiting temporal consistency for real-time video depth estimation


Aug 10, 2019
Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan

* Accepted to Proc. Int. Conf. Computer Vision 2019 

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FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture


Jul 04, 2019
Wenjun Liu, Yuchun Huang, Ying Li, Qi Chen


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RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks


Nov 24, 2018
Haokui Zhang, Ying Li, Peng Wang, Yu Liu, Chunhua Shen

* 14 pages 

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Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care


Feb 19, 2018
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu


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