Journal Articles:

G. Yuan, J. Li, Y. Huang, Z. Xie, J. Pang, Z. Cai
Independence and Unity: Unseen Domain Segmentation Based on Federated Learning
IEEE Internet of Things Journal, 2023. (IF: 10.6)
C. Jing, Y. Huang, Y. Zhuang, L. Sun, Y. Huang, Z. Xiao, X. Ding, ``Exploring Personalization via Federated Representation Learning on Non-IID Data,'' Neural Networks, 2023. (IF: 9.657)
Z. Xie, Y. Huang, D. Yu, R.M. Parizi, Y. Zheng, J. Pang
FedEE: A Federated Graph Learning Solution for Extended Enterprise Collaboration
IEEE Transactions on Industrial Informatics, 2022. (IF: 11.648)
J. Pang, Y. Huang, Z. Xie, J. Li, Z. Cai
Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution
Tsinghua science and technology, 2021.
     (Excellent Paper Award(Hot Paper by Web of Science)
J. Pang, Y. Huang*, Z. Xie, Q. Han, Z. Cai
Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT
IEEE Internet of Things Journal, 2020. (IF: 10.238)
Y. Liu, Y. Huang, Z. Cai
AED: An Black-box NLP Classifier Model Attacker
Neurocomputing. Accepted
Y. Luo, Y. Huang, G. Luo, K. Qin, A. Chen
Edge Convolutional Networks: Decomposing Graph Convolutional Networks for Stochastic Training with Independent Edges
Neurocomputing. Accepted
V. Mothukuri, R. M.Parizi, S. Pouriyeh, Y. Huang, A. Dehghantanha, G. Srivastavade
A survey on security and privacy of federated learning
Future Generation Computer Systems.
    (Best Paper Award)
Z. He, A. M. Vera, V. Sai, Y. Huang, D. Seo, H. Zhang, Q. Han
Differentially private approximate aggregation based on feature selection
Journal of Combinatorial Optimization.
F. Zhao, P. Skums, A. Zelikovsky, E. L. Sevigny, M. H. Swahn, S. M Strasser, Y. Huang, Y. Wu
"Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms"
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020. 
Y. Huang, X. Guan, H. Chen, Y. Liang, S. Yuan, and T. Ohtsuki
"Risk Assessment of Private Information Inference for Motion Sensor Embedded IoT devices"
IEEE Transactions on Emerging Topics in Computational Intelligence. 2019.
Y. Huang, Z. Cai, and A. G. Bourgeois
"Search Locations Safely and Accurately: A Location Privacy Protection Algorithm with Accurate Service"
Journal of Network and Computer Applications, Feb. 2018.
X. Tao, L. Liu, F. Zhao, Y. Huang, Y. Liang and S. Zhu
"Ontology and Weighted D-S Evidence Theory-Based Vulnerability Data Fusion Method"
Journal of Universal Computer Science, 2019.
J. Wang, L. Tian, Y. Huang, D. Yang and H. Gao
"Achieving the Optimal k-Anonymity for Content Privacy in Interactive Cyber-Physical Systems"
Security and Communication Networks, 2018.

Z. Chi, Y. Wang, Y. Huang, X. Tong
"The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems"
IEEE Access, 2018.

X. Guan, Y. Huang, M. Chen, H. Wu, T. Ohtsuki, Y. Zhang
"Exploiting Interference for Capacity Improvement in Software-Defined Vehicular Networks"
IEEE Access. 2017.

X. Guan, Y. Huang, Z. Cai, T. Ohtsuki
"Intersection-Based Forwarding Protocol for Vehicular Ad Hoc Networks"
Telecommunication Systems. 2016.

 Conference Papers:

Y. Huang, Z. Cai, J. Pang, Z. Xie, A. G. Bourgeois
Game Theory Based Privacy Protection for Context-Aware Services with Long-Term Time Series Data
2021 IEEE International Conference on Communications (ICC2021)
J. Yang, Y. Huang, M. Siddula, Z. Cai
Noise Generation GAN Based Identity Privacy Protection for Smart City
2021 IEEE SmartWorld
(Best Paper Award)
J. Yang, Y. Huang*, J. Pang, Z. Xie, and W. Li
Image Privacy Protection by Particle Swarm Optimization based Pivot Pixel Modification
International Conference on Internet of Things, 2020.
Z. He and Y. Huang
"Tracking Histogram of Attributes over Private Social Data in Data Markets"
International Conference on Combinatorial Optimization and Applications, 2019.
Y. Huang, Z. Cai, and A. G. Bourgeois
"Privacy Protection for Context-Aware Services: A Two-Layer Three-Party Game Model"
International Conference on Wireless Algorithms, Systems, and Applications, 2019.
    (Best Paper Award)

Y. Huang, M. Chen, Z. Cai, X. Guan, T. Ohtsuki and Y. Zhang
"Graph Theory Based Capacity Analysis for Vehicular Ad Hoc Networks."
IEEE Global Communications Conference (GLOBECOM), 2015.

Y. Huang, H. Wu, Y. Zhang, X. Guan and T. Ohtsuki
"Improve the Performance of Bus-Assisted Vehicular Ad Hoc Networks via Cooperative Game Theory"
International Conference on Communications and Networking in China, 2014.
(Invited Paper)

Y. Huang, X. Guan, Z. Cai and T. Ohtsuki
"Multicast Capacity Analysis for Social-Proximity Urban Bus-Assisted VANETs"
IEEE International Conference on Communications (ICC), 2013.

B. Yu, M. Han, L. Liu, Y. Huang, Y. Liang and L. Bai
"Data-Driven Approach for Understanding the Mild Cognitive Impairment"
International Symposium on Bioinformatics Research and Applications, 2018.


Correspondence authors by *.