Xiaoliang Liu

Xiaoliang Liu Ph.D.

Associate Professor

Wenzhou Business College School of Information Engineering
Nanjing University RINC Group
Google Scholar ORCiD Web of Sci GitHub

Biography

Xiaoliang Liu is currently an Associate Professor at the School of Information Engineering, Wenzhou Business College. He received his Ph.D. degree in Computer Science and Technology from Nanjing University in 2024, under the supervision of Prof. Furao Shen. Prior to that, he obtained his M.Sc. degree from the same institution in 2018.

As a core member of the Robotic Intelligence and Neural Computing (RINC) Research Group, his research interests lie in Artificial Intelligence Security . He focuses specifically on developing robust deep neural networks and defending against adversarial attacks in open-world environments.

AI Security Adversarial Learning Computer Vision Deep Neural Networks

Professional Member

● IEEE Member ● CCF Member ● Zhejiang Assn. for Youth Sci-Tech

Email

20249197@wzbc.edu.cn xiaoliang_liu@smail.nju.edu.cn

Address

Room 220, Zhiyong Building, North Campus of Wenzhou Business College, Chashan Higher Education Park, Wenzhou, China.

Latest Updates

Citation Metrics

Google Scholar
77 Citations
5 h-index
4 i10-index

Selected Publications

(* Corresponding Author)

View All

Research Projects

Research on Novel Neural Networks for Incremental Unsupervised Learning

Participant
National Natural Science Foundation of China General Program

This project addresses the catastrophic forgetting problem in continuous learning scenarios by developing novel neural network architectures capable of incremental unsupervised learning.

Efficient Learning Mechanism of Spiking Networks Based on Neural Plasticity

Participant
Ministry of Science and Technology STI 2030 Major Project

Part of the "Brain-Inspired Intelligence System" initiative. Research on Spiking Neural Networks (SNNs) utilizing neural plasticity rules to achieve energy-efficient and biologically plausible learning.

Substation HD Video and Robot Joint Inspection Technology

Participant
State Grid Corporation of China Headquarters S&T Project

Research and application of multi-dimensional image intelligent matching and recognition technology for automated inspection robots in electrical substations.

Academic Services

Peer Reviewer

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT,JCR-Q1)

Peer Reviewer

Pattern Recognition (PR,JCR-Q1)

Peer Reviewer

Engineering Applications of Artificial Intelligence (EAAI,JCR-Q1)

Honors & Awards

Second Place

IJCAI 2025 Workshop Challenge

Rotated X-ray Prohibited Items Detection

Finalist Prize

Greater Bay Area Int'l Algorithm Competition

Adversarial Robustness Defense Algorithm