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Xiaocai Zhang

Research Fellow
Departent of Infrastructure Engineering
Faculty of Engineering and Information Technology
The University of Melbourne, Australia

Email: xiaocai.zhang@unimelb.edu.au

PUBLICATIONS

  1. Shengming Wang, Xiaocai Zhang*, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu and Zheng Qin. “Fuel-saving route planning with data-driven and learning-based approaches – a systematic solution for harbor tugs”. In the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024), Jeju, Korea, August 2024.
  2. Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Wanbing Zhang, Jimmy Koh and Zheng Qin. “A dynamic context-aware approach for vessel trajectory prediction based on multi-stage deep learning.” IEEE Transactions on Intelligent Vehicles (2024).
  3. Tao Tang, Xiaocai Zhang, Weizhuo Li, Qing Wang, Yuansheng Liu and Xiaofeng Cao. “Co-training based prediction of multi-label protein–protein interactions”. Computers in Biology and Medicine 177 (2024): 108623.
  4. Ke Wang, Ong Qi Hao Tristan, Xiaocai Zhang*, Xiuju Fu and Zheng Qin. “Data-centric AI practice in maritime: a securing trusted data quality via a computer vision-based classification framework”. In 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024), Singapore, June 2024.
  5. Xiaocai Zhang, Hur Lim, Xiuju Fu, Ke Wang, Zhe Xiao and Zheng Qin. “Maritime-context text identification for connecting artificial intelligence (AI) models”. In 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024), Singapore, June 2024.
  6. Xiaocai Zhang, Hui Peng, Tao Tang, Yuansheng Liu, Yang Wang and Jianjia Zhang. “Knowledge-based dual external attention network for peptide detectability prediction.” Knowledge-Based Systems (2024): 111378.
  7. Son Nguyen, Aengus Leman, Zhe Xiao, Xiuju Fu, Xiaocai Zhang, Xiaoyang Wei, Wanbing Zhang, Ning Li, Wei Zhang and Zheng Qin. "Blockchain-Powered Incentive System for JIT Arrival Operations and Decarbonization in Maritime Shipping." Sustainability 15, no. 22 (2023): 15686.
  8. Tao Liu, Zhao Zhang, Zhengling Lei, Yuchi Huo, Shuo Wang, Jiansen Zhao, Jinfeng Zhang, Xin Jin and Xiaocai Zhang. “An approach to ship target detection based on combined optimization model of dehazing and detection”. Engineering Applications of Artificial Intelligence 127 Part B (2024): 107332.
  9. Xiaocai Zhang, Zhe Xiao, Xiuju Fu, Xiaoyang Wei, Tao Liu, Ran Yan, Zheng Qin and Jianjia Zhang. “A viewpoint adaptation ensemble contrastive learning framework for vessel type recognition with limited data.” Expert Systems with Applications 238 Part D (2023): 122191.
  10. Tao Liu, Xiang Xu, Zhengling Lei, Xiaocai Zhang, Mei Sha and Fang Wang. "A multi-task deep learning model integrating ship trajectory and collision risk prediction." Ocean Engineering 287 (2023): 115870.
  11. Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Xiaoyang Wei, Jimmy Koh, Daichi Ogawa and Zheng Qin. “Prediction of vessel arrival time to pilotage area using multi-data fusion and deep learning.” In the 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Spain, September 2023.
  12. Xiaoyang Wei, Zhe Xiao, Xiaocai Zhang, Hui Zhao, Xiuju Fu and Zheng Qin. "Resilience analysis of container port networks based on motif dynamics." In 2023 7th International Conference on Transportation Information and Safety (ICTIS), pp. 263-266. IEEE, 2023.
  13. Xiang Tang, Xiaocai Zhang, Mengting Liu and Jianjia Zhang. “Learning asynchronous common and individual functional brain network for AD diagnosis.” In the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), pp. 215-225. Cham: Springer Nature Switzerland.
  14. Tao Tang, Yiping Liu, Binshuang Zheng, Rong Li, Xiaocai Zhang* and Yuansheng Liu. “Integration of hybrid and self-correction method improves the quality of long-read sequencing data.” Briefings in Functional Genomics (2023): elad026.
  15. Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu and Weiwen Wu. "Kernel-based feature aggregation framework in point cloud networks." Pattern Recognition 139 (2023): 109439.
  16. Tao Tang, Xiaocai Zhang, Yuansheng Liu, Hui Peng, Binshuang Zheng, Yanlin Yin and Xiangxiang Zeng. "Machine learning on protein–protein interaction prediction: models, challenges and trends." Briefings in Bioinformatics 24, no. 2 (2023): bbad076.
  17. Xiaocai Zhang, Hui Peng, Jianjia Zhang, and Yang Wang. "A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification." Expert Systems with Applications (2022): 119073.
  18. Xiaocai Zhang, Zhixun Zhao, and Jinyan Li. "ARDE-N-BEATS: an evolutionary deep learning framework for urban traffic flow prediction." IEEE Internet of Things Journal 10, no. 3 (2023): 2391-2403.
  19. Tao Liu, Zi Jia, Zhengling Lei, Xiaocai Zhang, and Yuchi Huo. "Unsupervised depth estimation for ship target based on single view UAV image." International Journal of Remote Sensing 43, no. 9 (2022): 3216-3235.
  20. Tao Liu, Shuo Wang, Zhengling Lei, Jinfeng Zhang, and Xiaocai Zhang. "Trajectory risk cognition of ship collision accident based on fusion of multi-model spatial data." The Journal of Navigation 75, no. 2 (2022): 299-318.
  21. Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu and Zheng Qin. "Vessel trajectory prediction in maritime transportation: current approaches and beyond." IEEE Transactions on Intelligent Transportation Systems (2022).
  22. Xiaocai Zhang, Yi Zheng, Zhixun Zhao, Yuansheng Liu, Michael Blumenstein and Jinyan Li. "Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis." Knowledge-Based Systems 217 (2021): 106833.
  23. Yuansheng Liu, Xiaocai Zhang, Quan Zou and Xiangxiang Zeng. "Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers." Bioinformatics (2020).
  24. Xiaocai Zhang, Zhixun Zhao, Yi Zheng and Jinyan Li. "Prediction of taxi destinations using a novel data embedding method and ensemble learning." IEEE Transactions on Intelligent Transportation Systems 21, no. 1 (2020): 68-78.
  25. Zhixun Zhao, Xiaocai Zhang, Fang Chen, Liang Fang and Jinyan Li. "Accurate prediction of DNA N 4-methylcytosine sites via boost-learning various types of sequence features." BMC Genomics 21, no. 1 (2020): 1-11.
  26. Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao and Jinyan Li. "DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions." BMC Bioinformatics 20, no. 19 (2019): 1-12.
  27. Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao and Jinyan Li. "Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces." BMC Bioinformatics 20, no. 23 (2019): 1-9.
  28. Zhixun Zhao, Hui Peng, Xiaocai Zhang, Yi Zheng, Fang Chen, Liang Fang and Jinyan Li. "Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy." BMC Medical Genomics 12, no. 8 (2019): 1-10.
  29. Xiaocai Zhang, Xuan Zhang, Sunny Verma, Yuansheng Liu, Michael Blumenstein and Jinyan Li. "Detection of anomalous traffic patterns and insight analysis from bus trajectory data." In Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), pp. 307-321, 2019.
  30. Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin and Jinyan Li. "Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases." BMC Bioinformatics 19, no. 19 (2018): 49-59.
  31. Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li and Yang Liu. "Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks." In Australasian Joint Conference on Artificial Intelligence (AI 2018), pp. 216-223, 2018.
  32. Yi Zheng, Hui Peng, Xiaocai Zhang, Xiaoying Gao and Jinyan Li. "Predicting drug targets from heterogeneous spaces using anchor graph hashing and ensemble learning." In 2018 International Joint Conference on Neural Networks (IJCNN 2018), pp. 1-7, 2018.

SERVICES

  • Guest Editor, special issue “Deep learning approach for time-series forecasting” at the journal Information, 2024
  • Session Chair, the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
  • Reviewer, the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
  • Reviewer, 2024 IEEE Conference on Artificial Intelligence, 2024
  • Reviewer, Transportation Business & Management, 2024
  • Reviewer, Computers and Electrical Engineering, 2023, 2024
  • Reviewer, IEEE Access, 2023
  • Reviewer, Intelligent Systems with Applications, 2023
  • Reviewer, Signal, Image and Video Processing, 2023
  • Reviewer, Earth Science Informatics, 2023
  • Reviewer, Engineering Applications of Artificial Intelligence, 2023
  • Reviewer, International Journal of Remote Sensing, 2022
  • Reviewer, IET Intelligent Transport Systems, 2020 and 2021
  • Reviewer, Scientific Reports, 2020.
  • Reviewer, IEEE Transactions on Mobile Computing, 2020.
  • Reviewer, IEEE Transactions on Intelligent Transportation Systems, 2018, 2019 and 2020.