Classification Method of Navigational Aids in Inland Waters Based on Big Data. - Xiaocai Zhang; Lining Zhao; Haibao Wang; Haijiang Li (FCST, 2015)

Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks. - Xiaocai Zhang; Yuansheng Liu; Yi Zheng; Zhixun Zhao; Jinyan Li 001; Yang Liu (Australasian Conference on Artificial Intelligence, 2018)

Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning. - Yi Zheng; Hui Peng; Xiaocai Zhang; Xiaoying Gao; Jinyan Li 001 (IJCNN, 2018)

Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases. - Yi Zheng; Hui Peng; Xiaocai Zhang; Zhixun Zhao; Jie Yin 001; Jinyan Li 001 (BMC Bioinform., 2018)

Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data. - Xiaocai Zhang; Xuan Zhang 010; Sunny Verma; Yuansheng Liu; Michael Blumenstein; Jinyan Li 001 (PRICAI (3), 2019)

DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions. - Yi Zheng; Hui Peng; Xiaocai Zhang; Zhixun Zhao; Xiaoying Gao; Jinyan Li 001 (BMC Bioinform., 2019)

Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces. - Yi Zheng; Hui Peng; Xiaocai Zhang; Zhixun Zhao; Xiaoying Gao; Jinyan Li 001 (BMC Bioinform., 2019)

Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning. - Xiaocai Zhang; Zhixun Zhao; Yi Zheng; Jinyan Li 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers. - Yuansheng Liu; Xiaocai Zhang; Quan Zou 001; Xiangxiang Zeng (Bioinform., 2021)

Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis. - Xiaocai Zhang; Yi Zheng; Zhixun Zhao; Yuansheng Liu; Michael Blumenstein; Jinyan Li 001 (Knowl. Based Syst., 2021)

Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Zheng Qin 004 (IEEE Trans. Intell. Transp. Syst., 2022)

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Xiaoyang Wei; Jimmy Koh; Daichi Ogawa; Zheng Qin 004 (ITSC, 2023)

Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis. - Xiang Tang; Xiaocai Zhang; Mengting Liu; Jianjia Zhang (MICCAI (8), 2023)

ARDE-N-BEATS: An Evolutionary Deep Learning Framework for Urban Traffic Flow Prediction. - Xiaocai Zhang; Zhixun Zhao; Jinyan Li 001 (IEEE Internet Things J., 2023)

Machine learning on protein-protein interaction prediction: models, challenges and trends. - Tao Tang; Xiaocai Zhang; Yuansheng Liu; Hui Peng; Binshuang Zheng; Yanlin Yin; Xiangxiang Zeng (Briefings Bioinform., 2023)

A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification. - Xiaocai Zhang; Hui Peng; Jianjia Zhang; Yang Wang 002 (Expert Syst. Appl., 2023)

Kernel-based feature aggregation framework in point cloud networks. - Jianjia Zhang; Zhenxi Zhang; Lei Wang 001; Luping Zhou; Xiaocai Zhang; Mengting Liu; Weiwen Wu (Pattern Recognit., 2023)

Optimal protospacer sequences recommended by ensemble deep learning for high-efficiency base editing. - Hui Peng; Xiaocai Zhang; Yuansheng Liu; Yi Pan 001; Wilson Wen Bin Goh; Jinyan Li (BCB, 2024)

Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. - Shengming Wang; Xiaocai Zhang; Jing Li; Xiaoyang Wei; Hoong Chuin Lau; Bing Tian Dai; Binbin Huang; Zhe Xiao; Xiuju Fu; Zheng Qin 004 (IJCAI, 2024)

Co-training based prediction of multi-label protein-protein interactions. - Tao Tang; Xiaocai Zhang; Weizhuo Li; Qing Wang; Yuansheng Liu; Xiaofeng Cao (Comput. Biol. Medicine, 2024)

A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. - Maohan Liang; Ryan Wen Liu; Ruobin Gao; Zhe Xiao; Xiaocai Zhang; Hua Wang (CoRR, 2024)

Rethinking Blockchain Technologies for the Maritime Industry: An Overview of the Current Landscape. - Heejoo Kim; Zhe Xiao; Xiaocai Zhang; Xiuju Fu; Zheng Qin 004 (Future Internet, 2024)

Knowledge-based Dual External Attention Network for peptide detectability prediction. - Xiaocai Zhang; Hui Peng; Tao Tang; Yuansheng Liu; Yang Wang 002; Jianjia Zhang (Knowl. Based Syst., 2024)

An approach to ship target detection based on combined optimization model of dehazing and detection. - Tao Liu 016; Zhao Zhang; Zhengling Lei; Yuchi Huo; Shuo Wang; Jiansen Zhao; Jinfeng Zhang; Xin Jin; Xiaocai Zhang (Eng. Appl. Artif. Intell., 2024)

A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data. - Xiaocai Zhang; Zhe Xiao; Xiuju Fu; Xiaoyang Wei; Tao Liu 016; Ran Yan; Zheng Qin 004; Jianjia Zhang (Expert Syst. Appl., 2024)

A Dynamic Context-Aware Approach for Vessel Trajectory Prediction Based on Multi-Stage Deep Learning. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Wanbing Zhang; Jimmy Koh; Zheng Qin 004 (IEEE Trans. Intell. Veh., 2024)

Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation. - Ruobin Gao; Xiaocai Zhang; Maohan Liang; Ponnuthurai Nagaratnam Suganthan; Heng Dong (Appl. Soft Comput., 2025)