Xiaocai Zhang
Cited by
Cited by
Prediction of taxi destinations using a novel data embedding method and ensemble learning
X Zhang, Z Zhao, Y Zheng, J Li
IEEE Transactions on Intelligent Transportation Systems 21 (1), 68-78, 2019
Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond
X Zhang, X Fu, Z Xiao, H Xu, Z Qin
IEEE Transactions on Intelligent Transportation Systems, 2022
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions
Y Zheng, H Peng, X Zhang, Z Zhao, X Gao, J Li
BMC bioinformatics 20, 1-12, 2019
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases
Y Zheng, H Peng, X Zhang, Z Zhao, J Yin, J Li
BMC bioinformatics 19, 49-59, 2018
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features
Z Zhao, X Zhang, F Chen, L Fang, J Li
BMC genomics 21, 1-11, 2020
Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis
X Zhang, Y Zheng, Z Zhao, Y Liu, M Blumenstein, J Li
Knowledge-Based Systems 217, 106833, 2021
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers
Y Liu, X Zhang, Q Zou, X Zeng
Bioinformatics 37 (11), 1604-1606, 2021
Machine learning on protein–protein interaction prediction: models, challenges and trends
T Tang, X Zhang, Y Liu, H Peng, B Zheng, Y Yin, X Zeng
Briefings in Bioinformatics 24 (2), bbad076, 2023
A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification
X Zhang, H Peng, J Zhang, Y Wang
Expert Systems with Applications 213, 119073, 2023
Predicting drug targets from heterogeneous spaces using anchor graph hashing and ensemble learning
Y Zheng, H Peng, X Zhang, X Gao, J Li
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
Y Zheng, H Peng, X Zhang, Z Zhao, X Gao, J Li
BMC bioinformatics 20, 1-9, 2019
Kernel-based feature aggregation framework in point cloud networks
J Zhang, Z Zhang, L Wang, L Zhou, X Zhang, M Liu, W Wu
Pattern Recognition 139, 109439, 2023
Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy
Z Zhao, H Peng, X Zhang, Y Zheng, F Chen, L Fang, J Li
BMC medical genomics 12, 1-10, 2019
Arde-n-beats: An evolutionary deep learning framework for urban traffic flow prediction
X Zhang, Z Zhao, J Li
IEEE Internet of Things Journal 10 (3), 2391-2403, 2022
A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data
X Zhang, Z Xiao, X Fu, X Wei, T Liu, R Yan, Z Qin, J Zhang
Expert Systems with Applications 238, 122191, 2024
An approach to ship target detection based on combined optimization model of dehazing and detection
T Liu, Z Zhang, Z Lei, Y Huo, S Wang, J Zhao, J Zhang, X Jin, X Zhang
Engineering Applications of Artificial Intelligence 127, 107332, 2024
Detection of anomalous traffic patterns and insight analysis from bus trajectory data
X Zhang, X Zhang, S Verma, Y Liu, M Blumenstein, J Li
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
A multi-task deep learning model integrating ship trajectory and collision risk prediction
T Liu, X Xu, Z Lei, X Zhang, M Sha, F Wang
Ocean Engineering 287, 115870, 2023
Trajectory risk cognition of ship collision accident based on fusion of multi-model spatial data
T Liu, S Wang, Z Lei, J Zhang, X Zhang
The Journal of Navigation 75 (2), 299-318, 2022
Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
X Zhang, Y Liu, Y Zheng, Z Zhao, J Li, Y Liu
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
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