Yuan Wang - RankMe

31 papers A* 4A 1C 1Misc 1Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	$AiRacleX$: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. IEEE Trans. Serv. Comput. Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2026	J	`jnl`	Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning. IEEE Trans. Medical Imaging Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu
2026	J	`jnl`	Towards On-the-Fly Code Performance Profiling. ACM Trans. Softw. Eng. Methodol. Xing Hu, Weixin Lin, Zhuang Liu, Michael Ling, Xin Xia, Yuan Wang, David Lo
2025	J	`jnl`	AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. CoRR Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2025	A	`conf`	History-Aware and Dynamic Client Contribution in Federated Learning. ECAI Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. CoRR Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu
2025	A*	`conf`	Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. AAAI Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. CoRR Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning. IEEE Trans. Inf. Forensics Secur. Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei
2025	J	`jnl`	Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning. CoRR Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei
2024	A*	`conf`	An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CVPR Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2024	—	`conf`	Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering. CAI Renuga Kanagavelu, Chris George Anil, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters. CAI Danni Peng, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	MedSynth: Leveraging Generative Model for Healthcare Data Sharing. MICCAI (12) Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	Split Learning of Multi-Modal Medical Image Classification. CAI Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2022	—	`conf`	In Rust We Trust - A Transpiler from Unsafe C to Safer Rust. ICSE-Companion Michael Ling, Yijun Yu, Haitao Wu, Yuan Wang, James R. Cordy, Ahmed E. Hassan
2021	A*	`conf`	A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. ICSE Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li
2021	J	`jnl`	A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. CoRR Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li
2021	A*	`conf`	Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. ASE Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan
2021	J	`jnl`	Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. IEEE Trans. Signal Process. Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
2020	J	`jnl`	Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. CoRR Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
2020	—	`conf`	Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges. SAM Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
2019	Misc	`conf`	A Privacy-preserving Diffusion Strategy over Multitask Networks. ICASSP Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei
2018	—	`conf`	An Event-Based Diffusion LMS Strategy. SAM Yuan Wang, Wee Peng Tay, Wuhua Hu
2018	J	`jnl`	An Event-based Diffusion LMS Strategy. CoRR Yuan Wang, Wee Peng Tay, Wuhua Hu
2017	J	`jnl`	A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation. IEEE J. Sel. Top. Signal Process. Yuan Wang, Wee Peng Tay, Wuhua Hu
2017	J	`jnl`	A Multitask Diffusion Strategy with Optimized Inter-Cluster Cooperation. CoRR Yuan Wang, Wee Peng Tay, Wuhua Hu
2016	—	`conf`	Multitask diffusion LMS with optimized inter-cluster cooperation. SSP Yuan Wang, Wee Peng Tay, Wuhua Hu
2015	C	`conf`	An energy-efficient diffusion strategy over adaptive networks. ICICS Yuan Wang, Wee Peng Tay, Wuhua Hu