Y. Neil Qu

According to our database, Y. Neil Qu authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Securing LLM-in-the-loop software for empirical study of risks, mitigations, and utility trade-offs in a safety-critical case.

Wenting Wang, Jing Liu, Bruce Gu, Changwei Wang, Y. Neil Qu, Dongqin Feng

Empir. Softw. Eng., July, 2026

Communication-efficient decentralized federated graph learning via knowledge distillation under dual heterogeneity.

Guojiang Shen, Xu Guo, Haopeng Yuan, Jiaxin Du, Wenyi Zhang, Y. Neil Qu, Xiangjie Kong

Inf. Sci., 2026

2025

Fuzzified Federated Multi-Task Unlearning for Efficient and Privacy-Preserving Swarm Consumer Electronics Systems.

Y. Neil Qu, Xiangjie Kong, Shigen Shen, Aiqing Zhang, Huynh Thi Thanh Binh, Longxiang Gao

IEEE Trans. Consumer Electron., May, 2025

2024

Modal-Centric Insights Into Multimodal Federated Learning for Smart Healthcare: A Survey.

Di Wang, Wenjian Liu, Longxiang Gao, Y. Neil Qu, Hu Zhang, Jihong Shi

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach.

Nannan Zhang, Yao Zhao, Y. Neil Qu, Bruce Gu, Keshav Sood, Longxiang Gao, Shui Yu

Proceedings of the 2024 IEEE Global Communications Conference, 2024

Continuous Verification of Catastrophic Recalling in Machine Unlearning via Adversarial Testing.

Y. Neil Qu, Zonghao Ji, Lei Cui, Chong Zhang, Lei Liu, Zhiyi Tian

Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024