Junming Shao

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Claudia PlantProfessor of Computer Science, leader of research group Data Mining and Machine Learning, UniVieVerified email at univie.ac.at
Christian BöhmProfessor of Computer Science, University of Vienna, Vienna, AustriaVerified email at univie.ac.at
Zhong Zhang (张众)Tsinghua UniversityVerified email at tsinghua.edu.cn
Miklas ScholzProfessor in Civil Engineering, The University of Salford; Professor in Water Resources EngineeringVerified email at salford.ac.uk
Chun MengSchool of Life Science and Technology, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Lianli GaoUESTCVerified email at uestc.edu.cn
Chongming GAO (高崇铭)University of Science and Technology of China (中国科学技术大学)Verified email at mail.ustc.edu.cn
Masoud TahmasianJülich Research Centre & HHU-Düsseldorf & Uniklinik KölnVerified email at fz-juelich.de
Valentin RiedlFriedrich-Alexander University (FAU) Erlangen, GermanyVerified email at fau.de
Dezhong YaoUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
PD Dr. med. Andrei Manoliu, Ph.D., M...Psychiatric University Hospital, University of Zurich, SwitzerlandVerified email at puk.zh.ch
Cheng Luo (罗程)University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Tao ZhouWeb Sciences CenterVerified email at ustc.edu
Xiao HeAlibaba GroupVerified email at alibaba-inc.com
Nicholas E MyersUniversity of NottinghamVerified email at nottingham.ac.uk
Wei ZengUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Zahra AhmadiJunior Group Leader, PLRI Medical Informatics Institute, Medical School of HannoverVerified email at l3s.de
Nikola MüllerHelmholtz Zentrum MünchenVerified email at nikolamueller.de

Junming Shao

Professor of Computer Science, University of Electronic Science and Technology of China

Verified email at uestc.edu.cn - Homepage

Data Mining Machine Learning Neuroimaging


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Large-scale multi-view subspace clustering in linear time Z Kang, W Zhou, Z Zhao, J Shao, M Han, Z Xu Proceedings of the AAAI conference on artificial intelligence 34 (04), 4412-4419, 2020	393	2020
Aberrant topology of striatum’s connectivity is associated with the number of episodes in depression C Meng, F Brandl, M Tahmasian, J Shao, A Manoliu, M Scherr, ... Brain 137 (2), 598-609, 2014	196	2014
Community detection based on distance dynamics J Shao, Z Han, Q Yang, T Zhou Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	178	2015
Learning in high-dimensional multimedia data: the state of the art L Gao, J Song, X Liu, J Shao, J Liu, J Shao Multimedia Systems 23, 303-313, 2017	139	2017
Aberrant intrinsic connectivity of hippocampus and amygdala overlap in the fronto-insular and dorsomedial-prefrontal cortex in major depressive disorder M Tahmasian, DC Knight, A Manoliu, D Schwerthöffer, M Scherr, C Meng, ... Frontiers in human neuroscience 7, 639, 2013	135	2013
Location prediction on trajectory data: A review R Wu, G Luo, J Shao, L Tian, C Peng Big data mining and analytics 1 (2), 108-127, 2018	116	2018
Clustering by synchronization C Böhm, C Plant, J Shao, Q Yang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	108	2010
Prototype-based learning on concept-drifting data streams J Shao, Z Ahmadi, S Kramer Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	97	2014
Prediction of Alzheimer's disease using individual structural connectivity networks J Shao, N Myers, Q Yang, J Feng, C Plant, C Böhm, H Förstl, A Kurz, ... Neurobiology of aging 33 (12), 2756-2765, 2012	84	2012
Based on the network degeneration hypothesis: separating individual patients with different neurodegenerative syndromes in a preliminary hybrid PET/MR study M Tahmasian, J Shao, C Meng, T Grimmer, J Diehl-Schmid, BH Yousefi, ... Journal of Nuclear Medicine 57 (3), 410-415, 2016	82	2016
Online reliable semi-supervised learning on evolving data streams SU Din, J Shao, J Kumar, W Ali, J Liu, Y Ye Information Sciences 525, 153-171, 2020	80	2020
Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area E Danso-Amoako, M Scholz, N Kalimeris, Q Yang, J Shao Computers, Environment and Urban Systems 36 (5), 423-433, 2012	79	2012
Synchronization-inspired partitioning and hierarchical clustering J Shao, X He, C Böhm, Q Yang, C Plant IEEE Transactions on Knowledge and Data Engineering 25 (4), 893-905, 2012	74	2012
Common and distinct changes of default mode and salience network in schizophrenia and major depression J Shao, C Meng, M Tahmasian, F Brandl, Q Yang, G Luo, C Luo, D Yao, ... Brain imaging and behavior 12, 1708-1719, 2018	69	2018
Identifying influential nodes in complex networks based on weighted formal concept analysis Z Sun, B Wang, J Sheng, Y Hu, Y Wang, J Shao IEEE access 5, 3777-3789, 2017	63	2017
Exploiting evolving micro-clusters for data stream classification with emerging class detection SU Din, J Shao Information Sciences 507, 404-420, 2020	62	2020
Classification of first-episode schizophrenia using multimodal brain features: a combined structural and diffusion imaging study S Liang, Y Li, Z Zhang, X Kong, Q Wang, W Deng, X Li, L Zhao, M Li, ... Schizophrenia bulletin 45 (3), 591-599, 2019	61	2019
Music intervention leads to increased insular connectivity and improved clinical symptoms in schizophrenia H He, M Yang, M Duan, X Chen, Y Lai, Y Xia, J Shao, BB Biswal, C Luo, ... Frontiers in Neuroscience 11, 744, 2018	57	2018
Synchronization-based clustering on evolving data stream J Shao, Y Tan, L Gao, Q Yang, C Plant, I Assent Information Sciences 501, 573-587, 2019	51	2019
Robust prototype-based learning on data streams J Shao, F Huang, Q Yang, G Luo IEEE Transactions on Knowledge and Data Engineering 30 (5), 978-991, 2017	50	2017

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