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 | 328 | 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 | 191 | 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 | 175 | 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 | 134 | 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 | 131 | 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 | 110 | 2018 |
Clustering by synchronization C Böhm, C Plant, J Shao, Q Yang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 105 | 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 | 92 | 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 | 83 | 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 | 78 | 2016 |
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 | 75 | 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 |
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 | 68 | 2020 |
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 | 64 | 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 |
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 | 58 | 2019 |
Exploiting evolving micro-clusters for data stream classification with emerging class detection SU Din, J Shao Information Sciences 507, 404-420, 2020 | 57 | 2020 |
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 | 56 | 2018 |
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 | 48 | 2017 |
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 | 46 | 2019 |