An energy-efficient diffusion strategy over adaptive networks. - Yuan Wang 008; Wee Peng Tay; Wuhua Hu (ICICS, 2015)

Multitask diffusion LMS with optimized inter-cluster cooperation. - Yuan Wang 008; Wee Peng Tay; Wuhua Hu (SSP, 2016)

A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation. - Yuan Wang 008; Wee Peng Tay; Wuhua Hu (IEEE J. Sel. Top. Signal Process., 2017)

An Event-Based Diffusion LMS Strategy. - Yuan Wang 008; Wee Peng Tay; Wuhua Hu (SAM, 2018)

A Privacy-preserving Diffusion Strategy over Multitask Networks. - Chengcheng Wang; Wee Peng Tay; Yuan Wang 008; Ye Wei (ICASSP, 2019)

Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges. - Chengcheng Wang; Wee Peng Tay; Ye Wei; Yuan Wang 008 (SAM, 2020)

A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. - Yuanrui Fan; Xin Xia 001; David Lo 001; Ahmed E. Hassan; Yuan Wang 008; Shanping Li (ICSE, 2021)

Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. - Jiayuan Zhou; Michael Pacheco; Zhiyuan Wan; Xin Xia 001; David Lo 001; Yuan Wang 008; Ahmed E. Hassan (ASE, 2021)

Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. - Chengcheng Wang; Wee Peng Tay; Ye Wei; Yuan Wang 008 (IEEE Trans. Signal Process., 2021)

In Rust We Trust - A Transpiler from Unsafe C to Safer Rust. - Michael Ling; Yijun Yu; Haitao Wu; Yuan Wang 008; James R. Cordy; Ahmed E. Hassan (ICSE-Companion, 2022)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. - Yuan Wang 008; Huazhu Fu; Renuga Kanagavelu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CVPR, 2024)

MedSynth: Leveraging Generative Model for Healthcare Data Sharing. - Renuga Kanagavelu; Madhav Walia; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (MICCAI (12), 2024)

Don't Forget What I did?: Assessing Client Contributions in Federated Learning. - Bishwamittra Ghosh; Debabrota Basu; Huazhu Fu; Yuan Wang 008; Renuga Kanagavelu; Jiang Jin Peng; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (CoRR, 2024)

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Huazhu Fu; Jinpeng Jiang; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (AAAI, 2025)

Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning. - Marios Aristodemou; Xiaolan Liu 001; Yuan Wang 008; Konstantinos G. Kyriakopoulos; Sangarapillai Lambotharan; Qingsong Wei (IEEE Trans. Inf. Forensics Secur., 2025)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning. - Marios Aristodemou; Xiaolan Liu 001; Yuan Wang 008; Konstantinos G. Kyriakopoulos; Sangarapillai Lambotharan; Qingsong Wei (CoRR, 2025)

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. - Bo Gao; Yuan Wang 008; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh; David Lo 001 (CoRR, 2025)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Kangning Cai; Peiyan Ning; Jiming Xu; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei; Huazhu Fu (CoRR, 2025)