Yuan Wang

According to our database, Yuan Wang authored at least 23 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards On-the-Fly Code Performance Profiling.

Xing Hu, Weixin Lin, Zhuang Liu, Michael Ling, Xin Xia, Yuan Wang, David Lo

ACM Trans. Softw. Eng. Methodol., January, 2026

Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning.

Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu

IEEE Trans. Medical Imaging, January, 2026

$AiRacleX$: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation.

Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo

IEEE Trans. Serv. Comput., 2026

2025

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning.

Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei

CoRR, January, 2025

Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning.

Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei

IEEE Trans. Inf. Forensics Secur., 2025

History-Aware and Dynamic Client Contribution in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning.

Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

MedSynth: Leveraging Generative Model for Healthcare Data Sharing.

Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters.

Danni Peng, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering.

Renuga Kanagavelu, Chris George Anil, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Split Learning of Multi-Modal Medical Image Classification.

Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity.

Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

In Rust We Trust - A Transpiler from Unsafe C to Safer Rust.

Michael Ling, Yijun Yu, Haitao Wu, Yuan Wang, James R. Cordy, Ahmed E. Hassan

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks.

Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang

IEEE Trans. Signal Process., 2021

Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes.

Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms.

Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges.

Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019

A Privacy-preserving Diffusion Strategy over Multitask Networks.

Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

An Event-Based Diffusion LMS Strategy.

Yuan Wang, Wee Peng Tay, Wuhua Hu

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

2017

A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation.

Yuan Wang, Wee Peng Tay, Wuhua Hu

IEEE J. Sel. Top. Signal Process., 2017

2016

Multitask diffusion LMS with optimized inter-cluster cooperation.

Yuan Wang, Wee Peng Tay, Wuhua Hu

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015

An energy-efficient diffusion strategy over adaptive networks.

Yuan Wang, Wee Peng Tay, Wuhua Hu

Proceedings of the 10th International Conference on Information, 2015