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ORCIDShuo Li 0010
Person information
- affiliation: Xidian University, School of Artificial Intelligent, MoE Key Laboratory of Intelligent Perception and Image Understanding / International Research Center for Intelligent Perception and Computation, Xi'an, China
Other persons with the same name
- Shuo Li — disambiguation page
- Shuo Li 0001
![[0000-0002-5184-3230]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5184-3230")
— Western University, London, ON, Canada (and 2 more) - Shuo Li 0002 — Royal Institute of Technology, Stockholm, Sweden
- Shuo Li 0003 — RMIT University, School of Engineering, Melbourne, VIC, Australia (and 2 more)
- Shuo Li 0004 — Beijing Institute of Technology, School of Optics and Photonics, MOE Key Laboratory of Photo-Electronic Imaging Technology and Systems, China
- Shuo Li 0005 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Shuo Li 0006 — Central South University, School of Information Science and Engineering / Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Changsha, China
- Shuo Li 0007 — National University of Defense Technology, College of Computer, State Key Laboratory of High Performance Computing, Changsha, China
- Shuo Li 0008 — University of Virginia, Department of Electrical Engineering, Charlottesville, VA, USA
- Shuo Li 0009 — University of Texas at Arlington, Department of Computer Science and Engineering, USA
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2020 – today
- 2024
[j12]Nan Jia, Xiaolin Tian, Ting Yang, Shuo Li, Licheng Jiao:
Self-restrained contrastive enhanced network for graph structure learning. Expert Syst. Appl. 249: 123520 (2024)- [j11]Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu:
Multi-modal visual tracking based on textual generation. Inf. Fusion 112: 102531 (2024) - [j10]Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu:
Multi-Grained Gradual Inference Model for Multimedia Event Extraction. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10507-10520 (2024) - [j9]Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen, Lingling Li:
Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j8]Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Lingling Li:
Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1857-1871 (2024) - [c3]Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu:
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization. AAAI 2024: 5390-5400 - 2023
- [j7]Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen, Shuo Li:
Task context transformer and GCN for few-shot learning of cross-domain. Neurocomputing 548: 126433 (2023) - [j6]Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo:
MinEnt: Minimum entropy for self-supervised representation learning. Pattern Recognit. 138: 109364 (2023) - [j5]Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Xinyan Huang:
Knowledge transduction for cross-domain few-shot learning. Pattern Recognit. 141: 109652 (2023) - [j4]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen, Xu Liu:
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference. Pattern Recognit. 143: 109790 (2023) - [j3]Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen:
Learning Salient Feature for Salient Object Detection Without Labels. IEEE Trans. Cybern. 53(2): 1012-1025 (2023) - 2022
- [j2]Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu:
Augmentative contrastive learning for one-shot object detection. Neurocomputing 513: 13-24 (2022) - [j1]Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li:
MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors. IEEE Trans. Image Process. 31: 7306-7321 (2022) - [c2]Shuo Li, Fang Liu, Licheng Jiao:
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. AAAI 2022: 1395-1403 - [c1]Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao:
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space. ECCV (31) 2022: 420-436
Coauthor Index
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