Di Yu

According to our database, Di Yu authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Biologically Plausible Learning via Bidirectional Spike-Based Distillation.

Changze Lv, Yifei Wang, Yanxun Zhang, Yiyang Lu, Jingwen Xu, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

CoRR, September, 2025

Edge Intelligence with Spiking Neural Networks.

Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya

CoRR, July, 2025

Dendritic Localized Learning: Toward Biologically Plausible Algorithm.

Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang

CoRR, January, 2025

Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks.

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks.

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning.

Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

FedLEC: Effective Federated Learning Algorithm with Spiking Neural Networks Under Label Skews.

Di Yu, Xin Du, Linshan Jiang, Shunwen Bai, Wentao Tong, Shuiguang Deng

CoRR, 2024

EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices.

Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.

Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

2020

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.

Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020