复杂网络的控制和优化

机器学习

图神经网络

水下图像处理、目标识别等

入选上海市扬帆计划、上海市海外高层次人才计划

2019年9月至今   复旦大学信息科学与工程学院，青年副研究员

2018年7月-2019年8月    新加坡资讯通信研究院，研究员I级

2018年6月   新加坡南洋理工大学，博士

2012年6月   哈尔滨工程大学，本科

本科生课程《自动控制原理》

研究生课程《机器学习》《现代智能控制理论》

Selected publications

Y. Liu, Z. Ma, J. Ding* and X. Li, "Constrained Maximal Controllability of Complex Networks," IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2025.3635299, 2025. (*corresponding author) 

J. Ding, Y. Zhuo, X. Hu, et al., "Target Controllability of Complex Networks Based on Greedy Optimization," IEEE Transactions on Control of Network Systems, vol. 12, no. 4, pp. 2630-2641, 2025. 

S. Li, Y. Zhang, D. Ma, J. Ding* et al., " Multi-Scale Graph Channel Attention Detectors for Sonar Images in Smart Ocean," IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-14, 5019114, 2025. 

Z. Song, J. Ding*, and X. Li, "Topology optimization for optimal target control of complex networks," Europhysics Letters, vol. 151, no. 4, p. 42002, 2025. 

J. Li, Y. Ji, Y. Zhang, J. Ding* et al., "Graph neural networks for network science: A mini review," Europhysics Letters, vol.150, no.2, p. 21001, 2025. (invited survey)

J. Ding, Y. Zhang, K. Song, et al., "Target Controllability of Multiplex Networks with Weighted Interlayer Edges," IEEE Transactions on Network Science and Engineering, vol 11, no. 1, pp. 313-325, 2024.

Y. Zhang, J. Ding*, and X. Li, “Network Controllability Robustness Learning via Spatial Graph Neural Networks," IEEE Transactions on Network Science and Engineering, vol. 11, no. 5, pp. 4045-4058, 2024.

Y. Zhang, J. Li, J. Ding*, et al., "A Graph Transformer-Driven Approach for Network Robustness Learning," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 5, pp. 1992-2005, 2024. 

Y. Zhang, J. Ding*, and X. Li, "GCRL: A Graph Neural Network Framework for Network Connectivity Robustness Learning,"  New Journal of Physics, vol. 26, p. 093004, 2024. 

Z. Ma, S. Li, J. Ding* et al., "MHGAN: A Multi-Headed Generative Adversarial Network for Underwater Sonar Image Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023.