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A Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds Conference paper
Macau, Dec 2022
Authors:  Jiacheng Lu;  Chengzhong Xu;  Shuo Gu;  Hui Kong
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Improving deep learning on point cloud by maximizing mutual information across layers Journal article
Pattern Recognition, 2022,Volume: 131
Authors:  Wang, Di;  Tang, Lulu;  Wang, Xu;  Luo, Luqing;  Yang, Zhi Xin
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/08/02
3D vision  Deep learning  Mutual information  Point clouds  
Experimental Investigation of Heat Transfer and Pressure Drop Characteristics for Vertical Downflow using Traditional and 3D-printed Mini tubes Conference paper
Xi an, China, 2022.07.27-2022.07.31
Authors:  J.H. Chen;  L.M. Tam;  A.J. Ghajar
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Heat Transfer  Pressure Drop  3d Printed Mini Tube  
Dragster: Dynamic Resource Allocation with Guarantee on Streaming Throughput Expected Regret Conference paper
Inria, 2022-8-29
Authors:  Yang Liu;  Xu HL(徐歡樂);  Wing Cheong Lau
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An In-Depth Study of Microservice Call Graph and Runtime Performance Journal article
IEEE Transactions on Parallel and Distributed Systems, 2022
Authors:  Shutian Luo;  Xu HL(徐歡樂);  Chengzhi Lu;  Kejiang Ye;  Guoyao Xu;  Liping Zhang;  Jian He;  Chengzhong Xu
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InfoPCT: Mutual Information Maximization based Point Cloud Transformer Conference paper
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2022
Authors:  Wang, Di;  Yang, Zhixin
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/08/05
3D computer vision  deep learning  mutual information maximization  point cloud transformer  
A 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS Journal article
IEEE Transactions on Intelligent Transportation Systems, 2022
Authors:  Tian, Yifei;  Song, Wei;  Chen, Long;  Fong, Simon;  Sung, Yunsick;  Kwak, Jeonghoon
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2022/05/17
3d Object Recognition  Broad Learning System  Feature Extraction  Laser Radar  Lidar Point Cloud  Object Recognition  Point Cloud Compression  Solid Modeling  Three-dimensional Displays  Training  Unified Space Autoencoder.  
Toward fast theta‐join: A prefiltering and amalgamated partitioning approach Journal article
Concurrency and Computation: Practice and Experience, 2021,Volume: 34,Page: e6996
Authors:  Jiashu Wu;  Yang Wang;  Xiaopeng Fan;  Kejiang Ye;  Chengzhong Xu
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Amalgamated Data Stream Partitioning  Cartesian Product Reduction  Online Data Stream  Prefiltering  Theta-join  
Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis Award
: 特等獎Grand Prize, 2021
Authors:  Shutian Luo;  Huanle Xu;  Chengzhi Lu;  Kejiang Ye;  Guoyao Xu;  Liping Zhang;  Yu Ding;  Jian He;  Chengzhong Xu
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Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds Journal article
IEEE Transactions on Big Data, 2021,Volume: 7,Issue: 4,Page: 717-728
Authors:  Yushu Zhang;  Jiantao Zhou;  Yong Xiang;  Leo Yu Zhang;  Fei Chen;  Shaoning Pang;  Xiaofeng Liao
Adobe PDF | Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date:2019/04/16
Parallel Compressive Sensing  Sparse Robustness Decoding Service  Packet-loss  Cloud Computing