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Shanshan Ding
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2020 – today
- 2024
- [j8]Hao Liu, Renwen Chen, Shanshan Ding, Zihao Jiang, Fei Liu, Junyi Zhang:
An energy efficiency routing protocol for UAV-aided WSNs data collection. Ad Hoc Networks 154: 103378 (2024) - [j7]Fei Liu, Renwen Chen, Junyi Zhang, Shanshan Ding, Hao Liu, Shaofei Ma, Kailing Xing:
Coupled Dual-Frequency Phase-Shifting Coder for Precise Rotated Angle Representation in Oriented Object Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j6]Hao Liu, Renwen Chen, Shanshan Ding, Zihao Jiang, Junyi Zhang:
Research on UAV-Aided WSNs Node Positioning Task Planning in Field Environment. Wirel. Pers. Commun. 134(2): 1119-1152 (2024) - [c8]Bo Sheng, Zheyu Wang, Zikai Hua, Sheng Quan Xie, Shanshan Ding, Ying Zhang:
Preliminary Study: Development of a Multi-Angle Posture and Scoliosis Assessment System Based on Deep Learning. M2VIP 2024: 1-6 - 2023
- [j5]Fei Liu, Renwen Chen, Junyi Zhang, Shanshan Ding, Hao Liu, Shaofei Ma, Kailing Xing:
ESRTMDet: An End-to-End Super-Resolution Enhanced Real-Time Rotated Object Detector for Degraded Aerial Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4983-4998 (2023) - 2022
- [c7]Yijun Huang, Renwen Chen, Yidi Chen, Shanshan Ding, Jiaqing Yao:
A Fast bearing Fault diagnosis method based on lightweight Neural Network RepVGG. AISS 2022: 27:1-27:6 - [c6]Aili Wang, Yingluo Song, Haibin Wu, Shanshan Ding, Linlin Yang, Yunhong Yang, Yuji Iwahori:
Classroom Teaching Effect Monitoring and Evaluation System with Deep Integration of Artificial Intelligence. ICPCSEE (2) 2022: 337-350 - [c5]Aili Wang, Shuang Xing, Meixin Li, Yunhong Yang, Shanshan Ding, Haibin Wu, Yuji Iwahori:
Collaborative Classification of Hyperspectral and LiDAR Data Based on Dual-Branch Convolutional Neural Network. IGARSS 2022: 2738-2741 - 2021
- [j4]Shanshan Ding, Ningning Tong, Yongshun Zhang, Xiaowei Hu, Xiaoru Zhao:
Cognitive Antenna Selection in MIMO Imaging Radar. IEEE Trans. Geosci. Remote. Sens. 59(12): 9829-9841 (2021) - [c4]Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy H. Wu, Tammy Anderson:
Understanding the factors related to the opioid epidemic using machine learning. BIBM 2021: 1309-1314 - [i1]Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy Wu, Tammy Anderson:
Understanding the factors driving the opioid epidemic using machine learning. CoRR abs/2108.07301 (2021) - 2020
- [j3]Shanshan Ding, Ningning Tong, Yongshun Zhang, Xiaowei Hu, Xiaoru Zhao:
Cognitive MIMO Imaging Radar Based on Doppler Filtering Waveform Separation. IEEE Trans. Geosci. Remote. Sens. 58(10): 6929-6944 (2020)
2010 – 2019
- 2017
- [j2]Xiaowei Hu, Ningning Tong, Jianye Wang, Shanshan Ding, Xiaoru Zhao:
Matrix completion-based MIMO radar imaging with sparse planar array. Signal Process. 131: 49-57 (2017) - [c3]Yashita Jain, Shanshan Ding:
Integrative Sufficient Dimension Reduction Methods for Multi-Omics Data Analysis. BCB 2017: 616 - 2015
- [j1]Shanshan Ding, R. Dennis Cook:
Tensor sliced inverse regression. J. Multivar. Anal. 133: 216-231 (2015)
2000 – 2009
- 2009
- [c2]Shanshan Ding, Liugen Wang, Shenghong Li:
The Investment-Uncertainty Relationship in a Real Option Model. BIFE 2009: 346-349 - 2004
- [c1]Kang Li, Shanshan Ding, Doug McCreary, Steve Webb:
Analysis of state exposure control to prevent cheating in online games. NOSSDAV 2004: 140-145
Coauthor Index
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