Yu, Di

7 publications

ICLR 2026 Biologically Plausible Learning via Bidirectional Spike-Based Distillation Yifei Wang, Zhangyanxun, Changze Lv, Yiyang Lu, Jingwen Xu, Xiaohua Wang, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

ICLR 2026 SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network Huijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng

IJCAI 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

ICML 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

IJCAI 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

IJCAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng

IJCAI 2024 EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng