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Journal Articles
- 2022
[j11]Tingting Ren, Hongtao Xu, Xiumin Cai, Shengnan Yu, Jiaguo Qi
:
Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous Areas with Sentinel-1/2 Imagery. Remote. Sens. 14(3): 566 (2022)- [j10]Deji Wuyun, Junwei Bao, Luís Guilherme Teixeira Crusiol, Tuya Wulan, Liang Sun, Shangrong Wu, Qingqiang Xin, Zheng Sun, Ruiqing Chen, Jingyu Peng, Hongtao Xu, Nitu Wu, Anhong Hou, Lan Wu, Tingting Ren:
Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data. Remote. Sens. 14(23): 6010 (2022) - [j9]Wenjing Li, Jing Wang, Tingting Ren, Fang Li, Jun Zhang, Zhongcheng Wu:
Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. IEEE Trans. Intell. Transp. Syst. 23(10): 17922-17935 (2022) - 2021
- [j8]Dong Feng, ZhongCheng Wu, Jun Zhang, Tingting Ren:
Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition. IEEE Access 9: 58256-58265 (2021) - [j7]Wenjing Li, Tingting Ren, Fang Li, Jun Zhang, ZhongCheng Wu:
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning. Neurocomputing 461: 336-349 (2021) - [j6]Guisheng Wang, Yequn Wang, Guoce Huang, Qinghua Ren, Tingting Ren:
Simultaneous sparse learning algorithm of structured approximation with transformation analysis embedded in Bayesian framework. J. Electronic Imaging 30(5) (2021) - 2020
- [j5]Wenjing Li, ZhongCheng Wu, Jun Zhang, Tingting Ren, Fang Li:
LGSim: local task-invariant and global task-specific similarity for few-shot classification. Neural Comput. Appl. 32(16): 13065-13076 (2020) - 2019
- [j4]Jun Zhang, ZhongCheng Wu, Fang Li, Jianfei Luo, Tingting Ren, Song Hu, Wenjing Li, Wei Li:
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data. IEEE Access 7: 148031-148046 (2019) - [j3]Xiuyi Jia, Tingting Ren, Lei Chen, Jun Wang, Jihua Zhu, Xianzhong Long:
Weakly supervised label distribution learning based on transductive matrix completion with sample correlations. Pattern Recognit. Lett. 125: 453-462 (2019) - [j2]Jun Zhang, ZhongCheng Wu, Fang Li, Chengjun Xie, Tingting Ren, Jie Chen, Liu Liu:
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. Sensors 19(6): 1356 (2019) - 2008
- [j1]Christopher Kumar Anand, Tingting Ren, Tamás Terlaky:
Optimizing Teardrop, an MRI sampling trajectory. Optim. Methods Softw. 23(4): 575-592 (2008)
Conference and Workshop Papers
- 2022
- [c7]Tingting Ren, Yang Xu, Xiangrui Yang, Yanxiang Fu, Mengdie Xiang:
Measurement of Output Power of Radio Frequency Ablation Instrument Based on Quality Analyzer for Electrosurgical Generator. BIC 2022: 253-257 - [c6]Tingting Ren, Yang Xu, Ying Liu, Mengdie Xiang, Yanxiang Fu:
Measurement of Accuracy of Distribution of Irradiation of Infant Radiant Warmer Based on a Designed Temperature Test Device. BIC 2022: 267-271 - [c5]Tingting Ren, Yang Xu, Ying Liu, Cheng Zeng, Yanxiang Fu:
Calibration Procedure for Radio Frequency Ablation Instruments. BIC 2022: 272-277 - 2021
- [c4]Tingting Ren, Tongyu Lu, Yuanyuan Yang:
Improved Data Mining Method for Class-Imbalanced Financial Distress Prediction. ICCAI 2021: 308-313 - 2019
- [c3]Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li:
Label distribution learning with label-specific features. IJCAI 2019: 3318-3324 - [c2]Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao:
Label Distribution Learning with Label Correlations via Low-Rank Approximation. IJCAI 2019: 3325-3331 - 2016
- [c1]Tingting Ren, Fang Li, Jianfei Luo, ZhongCheng Wu:
Developmental analysis of consistency in children's handwriting movements using dynamic time warping technology. ICCSE 2016: 629-634
Coauthor Index
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