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2020 – today
- 2025
[j9]Yuming Li
, Jin Liu, Xingye Li, Xiliang Zhang, Zhongdai Wu, Bing Han:
A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 3782-3796 (2025)- [j8]Chengyu Hu, Jin Liu, Xingye Li, Meijing Li, Huihua He:
MST-ARGCN: modality-squeeze transformer with attentional recurrent graph capsule network for multimodal sentiment analysis. J. Supercomput. 81(1): 86 (2025) - 2024
- [j7]Xia Feng, Qichen Shi, Xingye Li, Haiyang Liu, Liangmin Wang:
IDPonzi: An interpretable detection model for identifying smart Ponzi schemes. Eng. Appl. Artif. Intell. 136: 108868 (2024) - [j6]Xingye Li, Jin Liu, Yurong Xie, Peizhu Gong, Xiliang Zhang, Huihua He:
MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition. Knowl. Based Syst. 283: 111126 (2024) - [j5]Hai Lin, Jin Liu, Xingye Li, Lai Wei, Yuxin Liu, Bing Han, Zhongdai Wu:
DCEA: DETR With Concentrated Deformable Attention for End-to-End Ship Detection in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17292-17307 (2024) - [j4]Ying Liu, Jin Liu, Xingye Li, Lai Wei, Zhongdai Wu, Bing Han, Wenjuan Dai:
Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 20098-20115 (2024) - [j3]Xingye Li, Jin Liu, Zhengyu Tang, Bing Han, Zhongdai Wu:
MEDMCN: a novel multi-modal EfficientDet with multi-scale CapsNet for object detection. J. Supercomput. 80(9): 12863-12890 (2024) - [c6]Junjie Yang, Jin Liu, Xingye Li, Jing Liu:
A novel clustering method for ship trajectory prediction. ICCVIT 2024: 1-5 - [c5]Yu Zhang, Jing Liu, Xingye Li, Jin Liu:
Social-Passing: A New Approach to Trajectory Prediction in Multi-Vessel Scenarios for Sensing Intrinsic Social Information of Vessels. ICCVIT 2024: 1-5 - 2023
- [c4]Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li:
A Multi-Stage Hierarchical Relational Graph Neural Network for Multimodal Sentiment Analysis. ICASSP 2023: 1-5 - 2022
- [j2]Xingye Li, Ling Zhang, Zhigang Zhu:
SnapshotNet: Self-supervised feature learning for point cloud data segmentation using minimal labeled data. Comput. Vis. Image Underst. 216: 103339 (2022) - [c3]Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu:
Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. ACML 2022: 391-406 - [c2]Zijun Yu, Jin Liu, Xingye Li:
LTDTS: A Lightweight Trash Detecting and Tracking System. ICAIS (1) 2022: 240-250 - [i1]Xingye Li, Ling Zhang, Zhigang Zhu:
SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data. CoRR abs/2201.04833 (2022) - 2021
- [j1]Zheng Li, Xingye Li, Jianxiong Shen, Haining Tan, Tianhua Rong, Youxi Lin, Erwei Feng, Zhengguang Chen, Yang Jiao, Gang Liu, Lin Zhang, Matthew Tak Vai Chan, William Ka Kei Wu:
Bioinformatic analysis of SMN1-ACE/ACE2 interactions hinted at a potential protective effect of spinal muscular atrophy against COVID-19-induced lung injury. Briefings Bioinform. 22(2): 1291-1296 (2021) - [c1]Xingye Li, Zhigang Zhu:
A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data. VISIGRAPP (5: VISAPP) 2021: 399-408
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