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Journal Articles
- 2024
[j2]Peihua Han
, Mingda Zhu, Houxiang Zhang:
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models. IEEE Trans. Ind. Informatics 20(3): 3188-3196 (2024)- 2020
- [j1]Mingda Zhu, Na Liu:
Research on NMR Noise Reduction Method Based on Improved CEEMD. IEEE Access 8: 122864-122873 (2020)
Conference and Workshop Papers
- 2024
- [c9]Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan:
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. ICML 2024 - [c8]Weiwei Tian, Peihua Han, Mingda Zhu, Øivind Kåre Kjerstad, Guoyuan Li, Houxiang Zhang:
A Multi-AttentionLSTM model for multi-ship encounter classification. RCAR 2024: 528-533 - 2023
- [c7]Weiwei Tian, Peihua Han, Mingda Zhu, Øivind Kåre Kjerstad, Guoyuan Li, Houxiang Zhang:
Informed Clustering for Encounter Type Categorization Based on AIS Data. ICCMA 2023: 25-30 - 2022
- [c6]Mingda Zhu, Tongtong Wang, Houxiang Zhang, Guoyuan Li:
Ship manoeuvring model identification under wind disturbance. RCAR 2022: 648-653 - [c5]Mingda Zhu, Robert Skulstad, Luman Zhao, Houxiang Zhang, Guoyuan Li:
MPC-based path planning for ship collision avoidance under COLREGS. SMC 2022: 1930-1935 - 2020
- [c4]Junnan Zhang, Mingda Zhu, Lei Peng:
Customized Parking Data Generation based on Multi-conditional GAN. ITSC 2020: 1-6 - 2019
- [c3]Wenli Ouyang, Yahong Zhang, Mingda Zhu, Xiuling Zhang, Hongye Chen, Yinghao Ren, Wei Fan:
Interpretable Spatial-Temporal Attention Graph Convolution Network for Service Part Hierarchical Demand Forecast. NLPCC (2) 2019: 575-586 - 2018
- [c2]Yizhi Wu, Bingshuai Liu, Mingda Zhu:
A Single-Pair Antenna Microwave Medical Detection System Based on Unsupervised Feature Learning. CSoNet 2018: 404-414 - 2016
- [c1]Zhao Liu, Mingtao Pei, Chi Zhang, Mingda Zhu:
Jointly Learning a Multi-class Discriminative Dictionary for Robust Visual Tracking. PCM (2) 2016: 550-560
Coauthor Index
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