Chengyuan Mai

According to our database, Chengyuan Mai authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems.

Jin Chen, Shangyu Zhang, Bin Hu, Chao Zhou, Junwei Pan, Gengsheng Xue, Wentao Ning, Gengyu Weng, Wang Zheng, Shaohua Liu, Zeen Xu, Chengyuan Mai, Shijie Quan, Tingyu Jiang, Lifeng Wang, Shudong Huang, Chengguo Yin, Haijie Gu, Jie Jiang

CoRR, April, 2026

2025

Enhanced Scalable Graph Neural Network via Knowledge Distillation.

Chengyuan Mai, Yaomin Chang, Chuan Chen, Zibin Zheng

IEEE Trans. Neural Networks Learn. Syst., January, 2025

FGTL: Federated Graph Transfer Learning for Node Classification.

Chengyuan Mai, Tianchi Liao, Chuan Chen, Zibin Zheng

ACM Trans. Knowl. Discov. Data, January, 2025

2024

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng

ACM Trans. Knowl. Discov. Data, February, 2024

Privacy computing meets metaverse: Necessity, taxonomy and challenges.

Chuan Chen, Yuecheng Li, Zhenpeng Wu, Chengyuan Mai, Youming Liu, Yanming Hu, Jiawen Kang, Zibin Zheng

Ad Hoc Networks, 2024