Lei Fang

Orcid: 0000-0003-3624-371X

Affiliations:
  • University of St Andrews, UK
  • Xi'an Jiaotong-Liverpool University, Suzhou, China (former)


According to our database1, Lei Fang authored at least 25 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Artwork protection against unauthorized neural style transfer and aesthetic color distance metric.
Pattern Recognit., 2026

2025
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems.
CoRR, August, 2025

2024
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks.
ACM Trans. Knowl. Discov. Data, February, 2024

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse.
CoRR, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.
CoRR, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks.
IEEE Trans. Knowl. Data Eng., November, 2023

Online continual learning for human activity recognition.
Pervasive Mob. Comput., June, 2023

A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models.
CoRR, 2023

2021
Identifying and Evaluating Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks.
ACM Trans. Web, 2021

2020
Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models.
IEEE Trans. Knowl. Data Eng., 2020

Bayesian Inference Federated Learning for Heart Rate Prediction.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

2019
Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models.
Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2016
Discovery and recognition of unknown activities.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Wireless sensor network control through statistical methods.
PhD thesis, 2015

Towards Data-centric Control of Sensor Networks through Bayesian Dynamic Linear Modelling.
Proceedings of the 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, 2015

2014
Data Collection with In-network Fault Detection Based on Spatial Correlation.
Proceedings of the 2014 International Conference on Cloud and Autonomic Computing, 2014

2013
An error-free data collection method exploiting hierarchical physical models of wireless sensor networks.
Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, 2013

Unifying Sensor Fault Detection with Energy Conservation.
Proceedings of the Self-Organizing Systems - 7th IFIP TC 6 International Workshop, 2013

2012
A reconfigurable component model with semantic type system for dynamic WSN applications.
J. Internet Serv. Appl., 2012

2011
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set.
Int. J. Appl. Evol. Comput., 2011

Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Supporting reconfiguration and re-use through self-describing component interfaces.
Proceedings of the Fifth International Workshop on Middleware for Sensor Networks, 2010


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