Kai Li (Publications)

Kai Li (Publications)

PhD University of New South Wales, Australia
Integrated PhD Researcher

Kai Li received the B.E. degree from Shandong University, China, in 2009, the M.S. degree from The Hong Kong University of Science and Technology, Hong Kong, in 2010, and the Ph.D. degree in computer science from The University of New South Wales, Sydney, NSW, Australia, in 2014. He is a Senior Research Scientist with the CISTER Research Unit at ISEP/IPP, and a CMU-Portugal Research Fellow, jointly supported by Carnegie Mellon University (CMU), Pittsburgh, PA, USA, and the Foundation for Science and Technology (FCT), Lisbon, Portugal. 

 

From 2023 to 2024, Dr. Li was a Visiting Research Scientist with the Division of Electrical Engineering, Department of Engineering, University of Cambridge, UK. In 2022, he was a Visiting Research Scholar with the CyLab Security and Privacy Institute at CMU. Prior to this, he was a Post-Doctoral Research Fellow with the SUTD-MIT International Design Centre, Singapore University of Technology and Design, Singapore, from 2014 to 2016. He has also held positions as a Visiting Research Assistant with the ICT Centre, CSIRO, Brisbane, QLD, Australia, from 2012 to 2013, and a Research Assistant with the Mobile Technologies Centre, The Chinese University of Hong Kong, Hong Kong, from 2010 to 2011. He has been an Associate Editor for the Internet of Things journal (Elsevier) since 2024, the Nature Computer Science journal (Springer) since 2023, the Computer Communications journal (Elsevier) and Ad Hoc Networks journal (Elsevier) since 2021, and IEEE ACCESS journal from 2018 to 2024. Dr. Li is an IEEE Senior Member, ACM member, and a member of IEEE Vehicular Technology Society and IEEE Communications Society.

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Journal Papers
Leverage Variational Graph Representation for Model Poisoning on Federated Learning CISTER-TR-240507 
Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Falko Dressler, Abbas JamalipourIEEE Transactions on Neural Networks and Learning Systems (TNNLS) (TNNLS), IEEE. 3, May, 2024.
Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm (HSCFHA) CISTER-TR-240203 
Syed Kumayl Raza Moosavi, Ahsan Saadat, Zainab Abaid, Wei Ni, Kai Li, Mohsen GuizaniFuture Generation Computer Systems (FGCS) (FGCS), Elsevier. 19, Feb, 2024, Volume 155, pp 272-286.
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach CISTER-TR-240201 
Kai Li, Jingjing Zheng, Xin Yuan, Wei Ni, Ozgur B. Akan, H. Vincent PoorIEEE Transactions on Information Forensics and Security (TIFS) (TIFS), IEEE. 2024.
Conference or Workshop Papers/Talks
Poisoning Federated Learning with Graph Neural Networks in Internet of Drones CISTER-TR-240501 
Kai Li, Alam Noor, Wei Ni, Eduardo Tovar, Xiaoming Fu, Ozgur B. AkanIEEE International Conference on Computer Communications and Networks (ICCCN 2024) (ICCCN). 29 to 31, Jul, 2024, Track 7: Security, Privacy, and Trust. Big Island, Hawaii, U.S.A..