Zuobin Xiong

Office: Advanced Engineering Building (AEB) Suite 200, UNLV, Maryland Campus

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 (UNLV). 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. Prior to my doctoral study, 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. My research has been recognized through publications in leading conferences and journals, including AAAI, ECML, IEEE ICDM, ACM Computing Surveys (CSUR), IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Vehicular Technology (TVT), IEEE Internet of Things Journal (IoT-J), etc. I also actively serve the academic community as a reviewer for these premier venues and as an Associate Editor for IEEE Networking Letters.

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 12, 2025	Our paper “A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges” is accepted by IEEE IoT-J.
May 11, 2025	Our paper “Efficient Phishing Website Detection via HTML Tag Sequence Analysis Using Encoder Models” is accepted by IEEE ICCCN 2025.
Apr 18, 2025	I start to serve as the Associate Editor for the IEEE Networking Letters.
Dec 3, 2024	Our NSF proposal (Lead PI) titled “A Guided Pathway to Enhancing HSI Student Experience and Success in Generative AI with the Planting of Education-Oriented GPU Cluster” is awarded by NSF HSI Program.
Nov 21, 2024	My NSF proposal (Single PI) titled “An Explainable AI Supported Performance Monitoring System in Distributed Sustainable Energy Networks” is awarded by NSF EPSCoR Research Fellows Program.

Selected publications

IoT-J

A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges

An Huang, Zhipeng Cai, and Zuobin Xiong

IEEE Internet of Things Journal, 2025

Bib PDF

@article{huang2025genai,
  title = {A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges},
  author = {Huang, An and Cai, Zhipeng and Xiong, Zuobin},
  journal = {IEEE Internet of Things Journal},
  volume = {},
  number = {},
  pages = {},
  year = {2025},
  publisher = {IEEE},
}

ICCCN

Efficient Phishing Website Detection via HTML Tag Sequence Analysis Using Encoder Models

Jemin Ahn, Zuobin Xiong, Homook Cho, and 2 more authors

In 2025 International Conference on Computer Communications and Networks (ICCCN), 2025

Bib

@inproceedings{jemin2025phishing,
  author = {Ahn, Jemin and Xiong, Zuobin and Cho, Homook and Kang, Kyungtae and Son, Junggab},
  booktitle = {2025 International Conference on Computer Communications and Networks (ICCCN)},
  pages = {},
  year = {2025},
  organization = {IEEE},
}

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}
}