Zuobin Xiong

Office: AEB-200, 4505 S Maryland Pkwy, Las Vegas, NV 89154

Phone: (702)774-3407

Email: zuobin.xiong AT

unlv DOT edu

I am an Assistant Professor in the Department of Computer Science at the University of Nevada-Las Vegas. I received my Ph.D. degree from the Department of Computer Science at Georgia State University under the supervision of Dr. Wei Li and Dr. Zhipeng Cai. I received my M.E. degree and B.S. degree from Department of Computer Science, Harbin Engineering University in 2019 and Department of Mathematics, Northeast Forestry University in 2016, respectively. I have published papers on and served as reviewer for bunch of premier conferences and journals, including IEEE ICDM, AAAI, IEEE GLOBECOM, IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Industrial Informatics (TII), Transactions on Knowledge and Data Engineering (TKDE), Transactions on Network Science and Engineering (TNSE), IEEE Transactions on Dependable and Secure Computing (TDSC), etc.

Research Interests

Distributed Machine Learning	(Generative) Artificial Intelligence
Machine Unlearning	AI4Healthcare
Differential Privacy	Privacy in IoT
Adversarial Machine Learning	Cybersecurity

🚀💡🏳️‍🌈 Currently recruiting❗❗❗

I am looking for self-motivated students with strong mathematical and programming skills to work with me on Machine Learning, Generative AI, Cybersecurity, and IoT projects. If you are interested, please email me your CV and indicate your goals.

News

May 27, 2024	Our paper “FCFL A Fairness Compensation-based Federated Learning Scheme with Accumulated Queues” is accepted by European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2024.
May 7, 2024	Our internal proposal “Are You Ready for College? An Explainable AI-Supported Efficient Solution for College Students Mental Health Condition Detection and Beyond” is selected for funding.
May 2, 2024	Our paper “Appro-Fun: Approximate Machine Unlearning in Federated Setting” is accepted by ICCCN 2024.
Apr 25, 2024	Our proposal “Intelligent IoT Security: Next-Generation Cyber Defense Mechanisms and Vulnerability Exploration Using Language Models” is selected for funding.
Sep 23, 2023	Our papers “Exact-Fun: An Exact and Efficient Federated Unlearning Approach” and “Backdoor Attack on 3D Grey Image Segmentation” are accepted by ICDM 2023.

Selected publications

ECML

FCFL: A Fairness Compensation-based Federated Learning Scheme with Accumulated Queues

Lingfu Wang, Zuobin Xiong, Chunguang Luo, and 2 more authors

In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Bib PDF

@inproceedings{wang2024fcfl,
  title = {FCFL: A Fairness Compensation-based Federated Learning Scheme with Accumulated Queues},
  author = {Wang, Lingfu and Xiong, Zuobin and Luo, Chunguang and Li, Wei and Chen, Aiguo},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  pages = {},
  year = {2024},
  organization = {Springer},
}

ICCCN

Appro-Fun: Approximate Machine Unlearning in Federated Setting

Zuobin Xiong, Wei Li, and Zhipeng Cai

In 2024 International Conference on Computer Communications and Networks (ICCCN), 2024

Bib PDF

@inproceedings{xiong2024appro,
  title = {Appro-Fun: Approximate Machine Unlearning in Federated Setting},
  author = {Xiong, Zuobin and Li, Wei and Cai, Zhipeng},
  booktitle = {2024 International Conference on Computer Communications and Networks (ICCCN)},
  pages = {},
  year = {2024},
  organization = {IEEE},
}

ICDM

Exact-Fun: An Exact and Efficient Federated Unlearning Approach

Zuobin Xiong, Wei Li, Yingshu Li, and 1 more author

In 2023 IEEE International Conference on Data Mining (ICDM), 2023

Bib PDF

@inproceedings{xiong2023exact,
  title = {Exact-Fun: An Exact and Efficient Federated Unlearning Approach},
  author = {Xiong, Zuobin and Li, Wei and Li, Yingshu and Cai, Zhipeng},
  booktitle = {2023 IEEE International Conference on Data Mining (ICDM)},
  pages = {},
  year = {2023},
  organization = {IEEE},
}

CSUR

Generative adversarial networks; A survey toward private and secure applications

Zhipeng Cai, Zuobin Xiong, Honghui Xu, and 3 more authors

ACM Computing Surveys (CSUR), 2021

Bib HTML

@article{cai2021generative,
  title = {Generative adversarial networks; A survey toward private and secure applications},
  author = {Cai, Zhipeng and Xiong, Zuobin and Xu, Honghui and Wang, Peng and Li, Wei and Pan, Yi},
  journal = {ACM Computing Surveys (CSUR)},
  volume = {54},
  number = {6},
  pages = {1--38},
  year = {2021},
  publisher = {ACM New York, NY, USA},
}

TII

Privacy threat and defense for federated learning with non-iid data in AIoT

Zuobin Xiong, Zhipeng Cai, Daniel Takabi, and 1 more author

IEEE Transactions on Industrial Informatics, 2021

Bib HTML

@article{xiong2021privacy,
  title = {Privacy threat and defense for federated learning with non-iid data in AIoT},
  author = {Xiong, Zuobin and Cai, Zhipeng and Takabi, Daniel and Li, Wei},
  journal = {IEEE Transactions on Industrial Informatics},
  volume = {18},
  number = {2},
  pages = {1310--1321},
  year = {2021},
  publisher = {IEEE},
}

TDSC

Towards neural network-based communication system - attack and defense

Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, and 2 more authors

IEEE Transactions on Dependable and Secure Computing, 2022

Bib HTML

@article{xiong2022towards,
  title = {Towards neural network-based communication system - attack and defense},
  author = {Xiong, Zuobin and Cai, Zhipeng and Hu, Chunqiang and Takabi, Daniel and Li, Wei},
  journal = {IEEE Transactions on Dependable and Secure Computing},
  year = {2022},
  publisher = {IEEE}
}