Bioenergetics: Open Access
ISSN: 2167-7662
Journal h-index: 12
Journal cite score: 3.96
Journal impact factor: 2.07
Xue Li
Professor, The University of Queensland - Cited by 9,134 - Data mining - machine learning - database systems
Biography
I am Xue Li, belonging to Tianjin Haihe Hospital, Tianjin, 300350, China. Interested in the field of Mouse airway, Ciliated cells, eNOS, Naphthalene.
Title
Cited by
Year
A survey of sentiment analysis in social media
L Yue, W Chen, X Li, W Zuo, M YinKnowledge and Information Systems 60, 617-663, 2019201
386
2019
PME: projected metric embedding on heterogeneous networks for link prediction
H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X LiProceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018201
223
2018
Where-and-when to look: Deep siamese attention networks for video-based person re-identification
L Wu, Y Wang, J Gao, X LiIEEE Transactions on Multimedia 21 (6), 1412-1424, 2018201
215
2018
Suicidal ideation detection: A review of machine learning methods and applications
S Ji, S Pan, X Li, E Cambria, G Long, Z HuangIEEE Transactions on Computational Social Systems 8 (1), 214-226, 2021202
146
2021
Learning private neural language modeling with attentive aggregation
S Ji, S Pan, G Long, X Li, J Jiang, Z Huang2019 International joint conference on neural networks (IJCNN), 1-8, 2019201
112
2019
Air: Attentional intention-aware recommender systems
T Chen, H Yin, H Chen, R Yan, QVH Nguyen, X Li2019 IEEE 35th International Conference on Data Engineering (ICDE), 304-315, 2019201
92
2019
EEG-based motion intention recognition via multi-task RNNs
W Chen, S Wang, X Zhang, L Yao, L Yue, B Qian, X LiProceedings of the 2018 SIAM International Conference on Data Mining, 279-287, 2018201
75
2018
Exploiting centrality information with graph convolutions for network representation learning
H Chen, H Yin, T Chen, QVH Nguyen, WC Peng, X Li2019 IEEE 35th International Conference on Data Engineering (ICDE), 590-601, 2019201
69
2019
Sequence-aware factorization machines for temporal predictive analytics
T Chen, H Yin, QVH Nguyen, WC Peng, X Li, X Zhou2020 IEEE 36th International Conference on Data Engineering (ICDE), 1405-1416, 2020202
68
2020
Tada: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction
T Chen, H Yin, H Chen, L Wu, H Wang, X Zhou, X Li2018 IEEE international conference on data mining (ICDM), 49-58, 2018201
64
2018
Advanced data mining and applications
X Li, OR Zaiane, Z LiSpringer International Publishing, 202259202
59
2022
Suicidal ideation and mental disorder detection with attentive relation networks
S Ji, X Li, Z Huang, E CambriaNeural Computing and Applications 34 (13), 10309-10319, 2022202
57
2022
Social boosted recommendation with folded bipartite network embedding
H Chen, H Yin, T Chen, W Wang, X Li, X HuIEEE Transactions on Knowledge and Data Engineering 34 (2), 914-926, 2022202
48
2022
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
S Ji, W Jiang, A Walid, X LiIEEE Intelligence Systems 37 (2), 27-34, 2022202
42
2022
Social event detection with retweeting behavior correlation
X Chen, X Zhou, T Sellis, X LiExpert Systems with Applications 114, 516-523, 2018201
29
2018
Privcoll: Practical privacy-preserving collaborative machine learning
Y Zhang, G Bai, X Li, C Curtis, C Chen, RKL KoEuropean Symposium on Research in Computer Security, 399-418, 2020202
28
2020
Dynamic illness severity prediction via multi-task rnns for intensive care unit
W Chen, S Wang, G Long, L Yao, QZ Sheng, X Li2018 IEEE International Conference on Data Mining (ICDM), 917-922, 2018201
27
2018
Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks
Y Zhang, X Zhao, X Li, M Zhong, C Curtis, C ChenProceedings of the Twelfth ACM International Conference on Web Search and …, 2019201
17
2019
Online sales prediction via trend alignment-based multitask recurrent neural networks
T Chen, H Yin, H Chen, H Wang, X Zhou, X LiKnowledge and Information Systems 62 (6), 2139-27, 2020202
16
2020
Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach
M Hu, Q Tan, R Knibbe, S Wang, X Li, T Wu, S Jarin, MX ZhangMetallurgical and Materials Transactions A 52 (7), 2873-2884, 2021202
16
2021
Referred From:
https://scholar.google.co.in/citations?user=z0C-DMMAAAAJ&hl=en
Cited by
Citations
9134
h-index
52
i10-index
140
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