DDoS Attack Detection Based on CNN and Federated Learning. - Dingyang Lv; Xinyu Cheng; Jinghui Zhang 001; Wei Zhang; Wei Zhao 023; He Xu 002 (CBD, 2021)

Noise-aware Local Model Training Mechanism for Federated Learning. - Jinghui Zhang 001; Dingyang Lv; Qiangsheng Dai; Fa Xin; Fang Dong 001 (ACM Trans. Intell. Syst. Technol., 2023)

Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing. - Jinghui Zhang 001; Yizhou Tang; Jiawei Wang; Dingyang Lv; Liqun Zhu; Fang Dong 001 (Simul. Model. Pract. Theory, 2023)

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. - Jinghui Zhang 001; Weilong Xin; Dingyang Lv; Jiawei Wang; Guangxing Cai; Fang Dong 001 (Sustain. Comput. Informatics Syst., 2023)

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. - Jinghui Zhang 001; Zhengjia Xu; Dingyang Lv; Zhan Shi; Dian Shen; Jiahui Jin 001; Fang Dong 001 (AAAI, 2024)

Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks. - Zhengjia Xu; Dingyang Lyu 001; Jinghui Zhang 001 (CoRR, 2024)

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. - Dingyang Lv; Zhengjia Xu; Jinghui Zhang 001; Yuchen Wang; Fang Dong 001 (Appl. Soft Comput., 2024)

Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction. - Dingyang Lyu 001; Zhengjia Xu; Jey Han Lau; Jianzhong Qi 001 (CoRR, 2026)