Authors: Zhang, Hanlin, Lin, Shuai, Liu, Weiyang, Zhou, Pan, Tang, Jian, Liang, Xiaodan, Xing, Eric P.
Contributors: NSF, NIH
Superior Title: IEEE Transactions on Knowledge and Data Engineering ; volume 36, issue 3, page 1161-1169 ; ISSN 1041-4347 1558-2191 2326-3865
Subject Terms: Computational Theory and Mathematics, Computer Science Applications, Information Systems
Subject Terms: Salient segmentation, convolutional neural networks, salient instance-level segmentation, connectivity, VDP::Mathematics and natural science: 400::Physics: 430, VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
Relation: IEEE Transactions on Image Processing; Norges forskningsråd: 239844; info:eu-repo/grantAgreement/RCN/IKTPLUSS/239844/Norway/Next Generation Kernel-Based Machine Learning for Big Missing Data Applied to Earth Observation//; Kampffmeyer, M., Dong, N., Liang, X., Zhang, Y. & Xing, E.P. (2018). ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Transactions on Image Processing, 28 (5), 2518-2529. https://doi.org/10.1109/TIP.2018.2886997; FRIDAID 1655951; https://hdl.handle.net/10037/15212
Contributors: BMBF ALICE II, NIH
Superior Title: IEEE Transactions on Pattern Analysis and Machine Intelligence ; volume 40, issue 12, page 2841-2852 ; ISSN 0162-8828 2160-9292 1939-3539
Subject Terms: Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Software
Authors: Zhang, Gongjie, Luo, Zhipeng, Cui, Kaiwen, Lu, Shijian, Xing, Eric P.
Superior Title: IEEE Transactions on Pattern Analysis and Machine Intelligence ; page 1-12 ; ISSN 0162-8828 2160-9292 1939-3539
Authors: Wu, Xindi, Mao, Yijun, Wang, Haohan, Zeng, Xiangrui, Gao, Xin, Xing, Eric P., Xu, Min
Contributors: Computational Bioscience Research Center (CBRC), Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Structural and Functional Bioinformatics Group, Carnegie Mellon University,Computational Biology Department,Pittsburgh,USA, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China, Language Technologies Institute, Carnegie Mellon University,Pittsburgh,USA
Relation: https://ieeexplore.ieee.org/document/8982954/; Wu, X., Mao, Y., Wang, H., Zeng, X., Gao, X., Xing, E. P., & Xu, M. (2019). Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). doi:10.1109/bibm47256.2019.8982954; http://hdl.handle.net/10754/661374; 52-67; 2-s2.0-85084337154
Contributors: Norges Forskningsråd
Superior Title: IEEE Transactions on Image Processing ; volume 28, issue 5, page 2518-2529 ; ISSN 1057-7149 1941-0042
Authors: Chang, Xiaojun, Yu, Yao-Liang, Yang, Yi, Xing, Eric P.
Contributors: NIH, Data to Decisions Cooperative Research Centre, NSFC
Superior Title: IEEE Transactions on Pattern Analysis and Machine Intelligence ; volume 39, issue 8, page 1617-1632 ; ISSN 0162-8828 2160-9292 1939-3539
Subject Terms: Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Software
Authors: Wang, Weiguang, Liang, Yingbin, Xing, Eric P., Shen, Lixin
Superior Title: IEEE Transactions on Signal Processing ; volume 64, issue 2, page 306-321 ; ISSN 1053-587X 1941-0476
Subject Terms: Electrical and Electronic Engineering, Signal Processing
Authors: Wang, Weiguang, Liang, Yingbin, Xing, Eric P.
Contributors: NSF CAREER, NIH
Superior Title: IEEE Transactions on Information Theory ; volume 61, issue 1, page 513-534 ; ISSN 0018-9448 1557-9654
Authors: Xing, Eric P., Ho, Qirong, Dai, Wei, Kim, Jin Kyu, Wei, Jinliang, Lee, Seunghak, Zheng, Xun, Xie, Pengtao, Kumar, Abhimanu, Yu, Yaoliang
Contributors: US Defense Advanced Research Projects Agency (DARPA), US National Science Foundation (NSF)
Superior Title: IEEE Transactions on Big Data ; volume 1, issue 2, page 49-67 ; ISSN 2332-7790
Subject Terms: Information Systems and Management, Information Systems