Small perturbations are enough: Adversarial attacks on time series prediction T Wu, X Wang, S Qiao, X Xian, Y Liu, L Zhang Information Sciences 587, 794-812, 2022 | 53 | 2022 |
DeepEC: Adversarial attacks against graph structure prediction models X Xian, T Wu, S Qiao, W Wang, C Wang, Y Liu, G Xu Neurocomputing 437, 168-185, 2021 | 24 | 2021 |
Towards link inference attack against network structure perturbation X Xian, T Wu, Y Liu, W Wang, C Wang, G Xu, Y Xiao Knowledge-Based Systems 218, 106674, 2021 | 20 | 2021 |
NetSRE: Link predictability measuring and regulating X Xian, T Wu, S Qiao, XZ Wang, W Wang, Y Liu Knowledge-Based Systems 196, 105800, 2020 | 20 | 2020 |
Evolution prediction of multi-scale information diffusion dynamics T Wu, L Chen, X Xian, Y Guo Knowledge-Based Systems 113, 186-198, 2016 | 18 | 2016 |
ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks T Wu, N Yang, L Chen, X Xiao, X Xian, J Liu, S Qiao, C Cui Information Sciences 617, 234-253, 2022 | 17 | 2022 |
Predicting the evolution of complex networks via similarity dynamics T Wu, L Chen, L Zhong, X Xian Physica A: Statistical Mechanics and its Applications 465, 662-672, 2017 | 14 | 2017 |
Enhanced collective influence: A paradigm to optimize network disruption T Wu, L Chen, L Zhong, X Xian Physica A: Statistical Mechanics and its Applications 472, 43-52, 2017 | 11 | 2017 |
Generative graph neural networks for link prediction X Xian, T Wu, X Ma, S Qiao, Y Shao, C Wang, L Yuan, Y Wu arXiv preprint arXiv:2301.00169, 2022 | 9 | 2022 |
Power iteration ranking via hybrid diffusion for vital nodes identification T Wu, X Xian, L Zhong, X Xiong, HE Stanley Physica A: Statistical Mechanics and its Applications 506, 802-815, 2018 | 9 | 2018 |
Adversarial attacks on deep neural networks for time series prediction A Xu, X Wang, Y Zhang, T Wu, X Xian 2021 10th International Conference on Internet Computing for Science and …, 2021 | 8 | 2021 |
Multi-view low-rank coding-based network data de-anonymization X Xian, T Wu, S Qiao, W Wang, Y Liu, N Han IEEE Access 8, 94575-94593, 2020 | 8 | 2020 |
Towards deep understanding of graph convolutional networks for relation extraction T Wu, X You, X Xian, X Pu, S Qiao, C Wang Data & Knowledge Engineering 149, 102265, 2024 | 7 | 2024 |
Structural predictability optimization against inference attacks in data publishing T Wu, G Ming, X Xian, W Wang, S Qiao, G Xu IEEE Access 7, 92119-92136, 2019 | 6 | 2019 |
Queue control based delay analysis and optimization for wireless mesh networks Y Liu, T Wu, X Xian 2010 2nd International Conference on Education Technology and Computer 1, V1 …, 2010 | 6 | 2010 |
Game theoretic approach in routing protocol for cooperative wireless sensor networks Q Liu, X Xian, T Wu Advances in Swarm Intelligence: Second International Conference, ICSI 2011 …, 2011 | 5 | 2011 |
Enhancing robustness of link prediction for noisy complex networks X Chen, T Wu, X Xian, C Wang, Y Yuan, G Ming Physica A: Statistical Mechanics and its Applications 555, 124544, 2020 | 4 | 2020 |
Network reconstruction and controlling based on structural regularity analysis T Wu, S Qiao, X Xian, XZ Wang, W Wang, Y Liu arXiv preprint arXiv:1805.07746, 2018 | 4 | 2018 |
Full-scale cascade dynamics prediction with a local-first approach T Wu, L Chen, X Xian, Y Guo arXiv preprint arXiv:1512.08455, 2015 | 4 | 2015 |
Research on Cooperative Packet Forwarding and Punishment Mechanism in Wireless Sensor Networks Q Liu, X Xian, S Guo, T Wu 2010 IEEE International Conference on Granular Computing, 338-342, 2010 | 2 | 2010 |