| A survey on security and privacy of federated learning V Mothukuri, RM Parizi, S Pouriyeh, Y Huang, A Dehghantanha, ... Future Generation Computer Systems 115, 619-640, 2021 | 1123 | 2021 |
| Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution J Pang, Y Huang, Z Xie, J Li, Z Cai Tsinghua science and technology 26 (5), 759-771, 2021 | 191 | 2021 |
| Realizing the heterogeneity: A self-organized federated learning framework for IoT J Pang, Y Huang, Z Xie, Q Han, Z Cai IEEE Internet of Things Journal 8 (5), 3088-3098, 2020 | 184 | 2020 |
| Security and privacy in metaverse: A comprehensive survey Y Huang, YJ Li, Z Cai Big Data Mining and Analytics 6 (2), 234-247, 2023 | 178 | 2023 |
| The novel location privacy-preserving CKD for mobile crowdsourcing systems Z Chi, Y Wang, Y Huang, X Tong IEEE Access 6, 5678-5687, 2017 | 48 | 2017 |
| Multicast capacity analysis for social-proximity urban bus-assisted VANETs Y Huang, X Guan, Z Cai, T Ohtsuki 2013 IEEE International Conference on Communications (ICC), 6138-6142, 2013 | 38 | 2013 |
| Intersection-based forwarding protocol for vehicular ad hoc networks X Guan, Y Huang, Z Cai, T Ohtsuki Telecommunication Systems 62, 67-76, 2016 | 36 | 2016 |
| Privacy protection federated learning system based on blockchain and edge computing in mobile crowdsourcing W Wang, Y Wang, Y Huang, C Mu, Z Sun, X Tong, Z Cai Computer Networks 215, 109206, 2022 | 32 | 2022 |
| Search locations safely and accurately: A location privacy protection algorithm with accurate service Y Huang, Z Cai, AG Bourgeois Journal of Network and Computer Applications 103, 146-156, 2018 | 32 | 2018 |
| Graph theory based capacity analysis for vehicular ad hoc networks Y Huang, M Chen, Z Cai, X Guan, T Ohtsuki, Y Zhang 2015 IEEE Global Communications Conference (GLOBECOM), 1-5, 2015 | 32 | 2015 |
| Computational approaches to detect illicit drug ads and find vendor communities within social media platforms F Zhao, P Skums, A Zelikovsky, EL Sevigny, MH Swahn, SM Strasser, ... IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2020 | 26 | 2020 |
| Risk assessment of private information inference for motion sensor embedded iot devices Y Huang, X Guan, H Chen, Y Liang, S Yuan, T Ohtsuki IEEE Transactions on Emerging Topics in Computational Intelligence 4 (3 …, 2019 | 22 | 2019 |
| FedEE: A federated graph learning solution for extended enterprise collaboration Z Xie, Y Huang, D Yu, RM Parizi, Y Zheng, J Pang IEEE Transactions on Industrial Informatics 19 (7), 8061-8071, 2022 | 12 | 2022 |
| A semiopportunistic task allocation framework for mobile crowdsensing with deep learning Z Xie, L Hu, Y Huang, J Pang Wireless Communications and Mobile Computing 2021 (1), 6643229, 2021 | 11 | 2021 |
| A cluster-based solution to achieve fairness in federated learning F Zhao, Y Huang, AMVV Sai, Y Wu 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 9 | 2020 |
| Exploring personalization via federated representation Learning on non-IID data C Jing, Y Huang, Y Zhuang, L Sun, Z Xiao, Y Huang, X Ding Neural Networks 163, 354-366, 2023 | 8 | 2023 |
| Decentralized Aggregation Design and Study of Federated Learning V Malladi, J Li, M Siddula, D Seoand, Y Huang 2021 IEEE SmartWorld, 2021 | 8 | 2021 |
| Differentially private approximate aggregation based on feature selection Z He, AMVV Sai, Y Huang, D Seo, H Zhang, Q Han Journal of combinatorial optimization 41, 318-327, 2021 | 5 | 2021 |
| Ontology and weighted DS evidence theory-based vulnerability data fusion method X Tao, L Liu, F Zhao, Y Huang, Y Liang, S Zhu Journal of Universal Computer Science 25 (3), 203-221, 2019 | 5 | 2019 |
| Exploiting interference for capacity improvement in software-defined vehicular networks X Guan, Y Huang, M Chen, H Wu, T Ohtsuki, Y Zhang IEEE Access 5, 10662-10673, 2017 | 5 | 2017 |