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Xingye Li

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2020 – today

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2025
[j7]
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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
[j6]
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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)
[j5]
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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)
[j4]
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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)
[j3]
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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)
2023
[c4]
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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]
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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]
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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]
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Zijun Yu, Jin Liu, Xingye Li:
LTDTS: A Lightweight Trash Detecting and Tracking System. ICAIS (1) 2022: 240-250
[i1]
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  - journals/corr/abs-2201-04833
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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]
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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]
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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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