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2020 – today
- 2024
[j9]Qiaowei Song, Jiaxuan Peng, Zhenyu Shu, Yuyun Xu, Yuan Shao, Wen Yu, Liang Yu:
Predicting Alzheimer's progression in MCI: a DTI-based white matter network model. BMC Medical Imaging 24(1): 103 (2024)- [j8]Hongxian Gu, Yuting Yan, Xiaodong He, Yuyun Xu, Yuguo Wei, Yuan Shao:
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment. Frontiers Neuroinformatics 18 (2024) - [c9]Yucheng Cai, Wentao Ma, Yuchuan Wu, Shuzheng Si, Yuan Shao, Zhijian Ou, Yongbin Li:
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt. LREC/COLING 2024: 17042-17061 - [c8]Yuan Shao
, Bibang Liu, Sourabh Bansod, Arnab Bhadury, Mingyan Gao, Yaping Zhang:
Optimizing for Participation in Recommender System. RecSys 2024: 806-808 - 2023
- [i1]Yucheng Cai, Wentao Ma, Yuchuan Wu, Shuzheng Si, Yuan Shao, Zhijian Ou, Yongbin Li:
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt. CoRR abs/2309.11065 (2023) - 2021
- [j7]Yuan Shao, Jingru Ruan, Yuyun Xu, Zhenyu Shu, Xiaodong He:
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities. Frontiers Neuroinformatics 15: 789295 (2021) - 2020
- [j6]Xiansheng Guo, Nirwan Ansari, Fangzi Hu, Yuan Shao, Nkrow Raphael Elikplim, Lin Li:
A Survey on Fusion-Based Indoor Positioning. IEEE Commun. Surv. Tutorials 22(1): 566-594 (2020)
2010 – 2019
- 2019
- [c7]Yuan Shao, Lin Li, Xiansheng Guo:
A semi-supervised deep learning approach towards localization of crowdsourced data. ACM TUR-C 2019: 23:1-23:5 - [c6]Yuan Shao, Lei Wang, Xiansheng Guo:
A Semi-supervised Naive Bayesian Method for Labeling Heterogeneous Fingerprints. ICCAIS 2019: 1-5 - [c5]Lei Wang, Yuan Shao, Xiansheng Guo:
An Adaptive Localization Approach Based on Deep Adaptation Networks. ICCAIS 2019: 1-5 - 2018
- [j5]Tao Li, Hai Wang, Yuan Shao, Qiang Niu:
Channel state information-based multi-level fingerprinting for indoor localization with deep learning. Int. J. Distributed Sens. Networks 14(10) (2018) - [j4]Xu Yang, Fangyuan Xiong, Yuan Shao, Qiang Niu:
WmFall: WiFi-based multistage fall detection with channel state information. Int. J. Distributed Sens. Networks 14(10) (2018) - [j3]Qing Fang, Yuan Shao:
基于改进智能水滴算法的多目标供应链最优模型 (Optimal Model of Multi-objective Supply Chain Based on Improved IWD Algorithm). 计算机科学 45(8): 198-202 (2018) - 2016
- [c4]Limeng Qiao, Zhenhui Xu, Jin Dong, Yuan Shao, Xin Tong, Zhanshan Li:
An Ideal Fine-Grained GAC Algorithm for Table Constraints. ICSI (1) 2016: 86-94 - 2014
- [j2]Yuyan Jiang, Yuan Shao, Ping Li, Qing Wang:
An Improved LDA Model for Academic Document Analysis. J. Softw. 9(10): 2749-2757 (2014)
2000 – 2009
- 2006
- [c3]Huayan Zeng, Jianmin Xu, Deqiang Zhou, Yuan Shao:
A Novel Signal Control Method for Offset Intersection. ISDA (1) 2006: 1123-1128 - 2001
- [j1]Yuan Shao, Mehmet Celenk:
Higher-order spectra (HOS) invariants for shape recognition. Pattern Recognit. 34(11): 2097-2113 (2001)
1990 – 1999
- 1999
- [c2]Mehmet Celenk, Yuan Shao:
Rotation-, translation-, and scaling-invariant color image indexing. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 623-630 - 1998
- [c1]Mehmet Celenk, Yuan Shao:
Object detection in color images using nonparametric Bayes classification and orthogonal functions. Visual Information Processing 1998: 147-155
Coauthor Index
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