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2020 – today
- 2024
[j15]Tao Tang
, Xiaocai Zhang, Weizhuo Li, Qing Wang, Yuansheng Liu, Xiaofeng Cao:
Co-training based prediction of multi-label protein-protein interactions. Comput. Biol. Medicine 177: 108623 (2024)- [j14]Tao Liu, Zhao Zhang, Zhengling Lei, Yuchi Huo, Shuo Wang, Jiansen Zhao, Jinfeng Zhang, Xin Jin, Xiaocai Zhang:
An approach to ship target detection based on combined optimization model of dehazing and detection. Eng. Appl. Artif. Intell. 127(Part B): 107332 (2024) - [j13]Xiaocai Zhang, Zhe Xiao, Xiuju Fu, Xiaoyang Wei, Tao Liu, Ran Yan, Zheng Qin, Jianjia Zhang:
A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data. Expert Syst. Appl. 238(Part E): 122191 (2024) - [j12]Xiaocai Zhang, Hui Peng, Tao Tang, Yuansheng Liu, Yang Wang, Jianjia Zhang:
Knowledge-based Dual External Attention Network for peptide detectability prediction. Knowl. Based Syst. 286: 111378 (2024) - [c8]Hui Peng, Xiaocai Zhang, Yuansheng Liu, Yi Pan, Wilson Wen Bin Goh, Jinyan Li:
Optimal protospacer sequences recommended by ensemble deep learning for high-efficiency base editing. BCB 2024: 31:1-31:10 - [c7]Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu, Zheng Qin:
Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. IJCAI 2024: 7483-7490 - [i2]Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Xiaoyang Wei, Jimmy Koh, Daichi Ogawa, Zheng Qin:
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning. CoRR abs/2403.09969 (2024) - [i1]Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang:
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. CoRR abs/2407.11084 (2024) - 2023
- [j11]Tao Tang, Xiaocai Zhang, Yuansheng Liu, Hui Peng, Binshuang Zheng, Yanlin Yin, Xiangxiang Zeng:
Machine learning on protein-protein interaction prediction: models, challenges and trends. Briefings Bioinform. 24(2) (2023) - [j10]Xiaocai Zhang, Hui Peng, Jianjia Zhang, Yang Wang:
A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification. Expert Syst. Appl. 213(Part C): 119073 (2023) - [j9]Xiaocai Zhang, Zhixun Zhao, Jinyan Li:
ARDE-N-BEATS: An Evolutionary Deep Learning Framework for Urban Traffic Flow Prediction. IEEE Internet Things J. 10(3): 2391-2403 (2023) - [j8]Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu:
Kernel-based feature aggregation framework in point cloud networks. Pattern Recognit. 139: 109439 (2023) - [c6]Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Xiaoyang Wei, Jimmy Koh, Daichi Ogawa, Zheng Qin:
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning. ITSC 2023: 2268 - [c5]Xiang Tang, Xiaocai Zhang, Mengting Liu, Jianjia Zhang:
Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis. MICCAI (8) 2023: 215-225 - 2022
- [j7]Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Zheng Qin:
Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond. IEEE Trans. Intell. Transp. Syst. 23(11): 19980-19998 (2022) - 2021
- [j6]Yuansheng Liu, Xiaocai Zhang, Quan Zou, Xiangxiang Zeng:
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers. Bioinform. 37(11): 1604-1606 (2021) - [j5]Xiaocai Zhang, Yi Zheng, Zhixun Zhao, Yuansheng Liu, Michael Blumenstein, Jinyan Li:
Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis. Knowl. Based Syst. 217: 106833 (2021) - 2020
- [j4]Xiaocai Zhang, Zhixun Zhao, Yi Zheng, Jinyan Li:
Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning. IEEE Trans. Intell. Transp. Syst. 21(1): 68-78 (2020)
2010 – 2019
- 2019
- [j3]Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li:
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions. BMC Bioinform. 20-S(19): 661 (2019) - [j2]Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li:
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces. BMC Bioinform. 20-S(23): 605 (2019) - [c4]Xiaocai Zhang, Xuan Zhang, Sunny Verma, Yuansheng Liu, Michael Blumenstein, Jinyan Li:
Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data. PRICAI (3) 2019: 307-321 - 2018
- [j1]Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li:
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases. BMC Bioinform. 19-S(19): 49-59 (2018) - [c3]Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li, Yang Liu:
Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks. Australasian Conference on Artificial Intelligence 2018: 216-223 - [c2]Yi Zheng, Hui Peng, Xiaocai Zhang, Xiaoying Gao, Jinyan Li:
Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning. IJCNN 2018: 1-7 - 2015
- [c1]Xiaocai Zhang, Lining Zhao, Haibao Wang, Haijiang Li:
Classification Method of Navigational Aids in Inland Waters Based on Big Data. FCST 2015: 203-208
Coauthor Index
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