Author

Kai Zhang

East China Normal University - Cited by 3,533 - Machine learning - data mining - time series analysis - bioinformatics and biomedical engineering

Biography

Kai Zhang is affiliated to Department of Economics, South China Normal University. Guangzhou, China. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study.  His research interests reflect in his wide range of publications in various national and international journals. 
Title
Cited by
Year
Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks
W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W WangProceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018201
284
2018
Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders
J Zhang, W Cheng, Z Liu, K Zhang, X Lei, Y Yao, B Becker, Y Liu, ...Brain 139 (8), 2307-2321, 2016201
273
2016
Entity embedding-based anomaly detection for heterogeneous categorical events
T Chen, LA Tang, Y Sun, Z Chen, K ZhangarXiv preprint arXiv:1608.07502, 2016201
99
2016
Neural and genetic determinants of creativity
Z Liu, J Zhang, X Xie, ET Rolls, J Sun, K Zhang, Z Jiao, Q Chen, J Zhang, ...Neuroimage 174, 164-176, 2018201
71
2018
Adaptive structural fingerprints for graph attention networks
K Zhang, Y Zhu, J Wang, J ZhangInternational Conference on Learning Representations, 2019201
69
2019
Distributed flexible nonlinear tensor factorization
S Zhe, K Zhang, P Wang, K Lee, Z Xu, Y Qi, Z GhahramaniAdvances in neural information processing systems 29, 2016201
66
2016
Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations
W Cheng, K Zhang, H Chen, G Jiang, Z Chen, W WangProceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016201
64
2016
Fusion of panchromatic and multispectral images via coupled sparse non-negative matrix factorization
K Zhang, M Wang, S Yang, Y Xing, R QuIEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016201
38
2016
Finding communities by their centers
Y Chen, P Zhao, P Li, K Zhang, J ZhangScientific reports 6 (1), 24017, 2016201
32
2016
Efficient discovery of abnormal event sequences in enterprise security systems
B Dong, Z Chen, H Wang, LA Tang, K Zhang, Y Lin, Z Li, H ChenProceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017201
26
2017
Collaborative alert ranking for anomaly detection
Y Lin, Z Chen, C Cao, LA Tang, K Zhang, W Cheng, Z LiProceedings of the 27th ACM International Conference on Information and …, 2018201
17
2018
Gmot-40: A benchmark for generic multiple object tracking
H Bai, W Cheng, P Chu, J Liu, K Zhang, H LingProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021202
16
2021
Substructure assembling network for graph classification
X Zhao, B Zong, Z Guan, K Zhang, W ZhaoProceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018201
15
2018
Greedy orthogonal pivoting algorithm for non-negative matrix factorization
K Zhang, S Zhang, J Liu, J Wang, J ZhangInternational Conference on Machine Learning, 7493-7501, 2019201
14
2019
DisTenC: A distributed algorithm for scalable tensor completion on spark
H Ge, K Zhang, M Alfifi, X Hu, J Caverlee2018 IEEE 34th International Conference on Data Engineering (ICDE), 137-8, 2018201
14
2018
Low-rank decomposition meets kernel learning: A generalized Nyström method
L Lan, K Zhang, H Ge, W Cheng, J Liu, A Rauber, XL Li, J Wang, H ZhaArtificial Intelligence 250, 1-15, 2017201
11
2017
Learning adaptive random features
Y Li, K Zhang, J Wang, S KumarProceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4229-4236, 2019201
10
2019
Ranking causal anomalies by modeling local propagations on networked systems
J Ni, W Cheng, K Zhang, D Song, T Yan, H Chen, X Zhang2017 IEEE International Conference on Data Mining (ICDM), 03-08, 2017201
10
2017
Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations
W Cheng, K Zhang, H Chen, G JiangUS Patent 10,28,471, 20120
9
2019
Sequential recommendation with bidirectional chronological augmentation of transformer
J Jiang, Y Luo, JB Kim, K Zhang, S KimarXiv preprint arXiv:2112.06460, 2021202
8
2021

Referred From: https://scholar.google.com/citations?user=I6ifR7YAAAAJ&hl=en

Cited by
Citations 3533
h-index 30
i10-index 43
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