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ORCIDJie Ding 0007
Person information
- affiliation: Fudan University, School of Information Science and Engineering, Electronic Engineering Department, Research Center of Smart Networks and Systems, Shanghai, China
- affiliation (2018-2019): Agency for Science, Technology and Research, A*STAR, Institute for Infocomm Research, I2R, Singapore
- affiliation (PhD 2018): Nanyang Technological University, Singapore
Other persons with the same name
- Jie Ding — disambiguation page
- Jie Ding 0001
![[0000-0001-9927-5415]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9927-5415")
— Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more) - Jie Ding 0002 — University of Minnesota, School of Statistics, Minneapolis, MN, USA (and 2 more)
- Jie Ding 0003 — Harbin Engineering University, College of Underwater Acoustic Engineering and the Acoustic Science and Technology Laboratory, China
- Jie Ding 0004 — Sichuan University, Chengdu, Business School, China
- Jie Ding 0006 — Nanjing University of Posts and Telecommunications, School of Automation, China (and 1 more)
- Jie Ding 0008 — Jiangsu University of Science and Technology, School of Computer, Zhenjiang, China (and 3 more)
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2020 – today
- 2024
[j14]Yu Zhang, Jia Li, Jie Ding, Xiang Li:
A Graph Transformer-Driven Approach for Network Robustness Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 1992-2005 (2024)- [j13]Jie Ding, Yaozhong Zhang, Kun Song, Guoqi Li, Wei Wang, Kexin Liu:
Target Controllability of Multiplex Networks With Weighted Interlayer Edges. IEEE Trans. Netw. Sci. Eng. 11(1): 313-325 (2024) - [j12]Yu Zhang, Jie Ding, Xiang Li:
Network Controllability Robustness Learning via Spatial Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. 11(5): 4045-4058 (2024) - 2023
- [j11]Zhengda Ma, Sensen Li, Jie Ding, Binbin Zou:
MHGAN: A Multi-Headed Generative Adversarial Network for Underwater Sonar Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2021
- [j10]Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen:
Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Trans. Cybern. 51(1): 52-63 (2021) - [j9]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j8]Jie Ding, Changyun Wen, Guoqi Li, Pengfei Tu, Dongxu Ji, Ying Zou, Jiangshuai Huang:
Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1949-1962 (2021) - 2020
- [j7]Xulei Yang, Jie Ding:
A Computational Framework for Iceberg and Ship Discrimination: Case Study on Kaggle Competition. IEEE Access 8: 82320-82327 (2020) - [j6]Jinning Li, Yichen Zhou, Jie Ding, Cen Chen, Xulei Yang:
ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access 8: 138373-138381 (2020) - [j5]Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Trans. Instrum. Meas. 69(7): 3992-4001 (2020) - [j4]Jie Ding, Changyun Wen, Guoqi Li, Xulei Yang, Tianjiang Hu:
Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1825-1839 (2020)
2010 – 2019
- 2019
- [j3]Guoqi Li, Jie Ding, Changyun Wen, Lei Wang, Fanghong Guo:
Controlling Directed Networks With Evolving Topologies. IEEE Trans. Control. Netw. Syst. 6(1): 176-190 (2019) - [j2]Guoqi Li, Jie Ding, Changyun Wen, Jiangshuai Huang:
Minimum Cost Control of Directed Networks With Selectable Control Inputs. IEEE Trans. Cybern. 49(12): 4431-4440 (2019) - [c4]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [c3]Xulei Yang, Gabriel Tjio, Feng Yang, Jie Ding, Senthil Kumar, Shuang Leng, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su:
A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images. EMBC 2019: 4016-4019 - 2017
- [c2]Jie Ding, Changyun Wen, Guoqi Li:
Optimal control of weighted networks based on node connection strength. ISIE 2017: 520-525 - 2016
- [j1]Jie Ding, Changyun Wen, Guoqi Li, Chin-Seng Chua:
Locality sensitive batch feature extraction for high-dimensional data. Neurocomputing 171: 664-672 (2016) - 2014
- [c1]Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua:
Min-max discriminant analysis based on gradient method for feature extraction. ICARCV 2014: 129-134
Coauthor Index
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