Jiang, Linshan

9 publications

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

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

NeurIPS 2025 FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu

IJCAI 2025 HARMONY: A Privacy-Preserving and Sensor-Agnostic Tele-Monitoring System Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu

IJCAI 2025 One-Shot Federated Learning Methods: A Practical Guide Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li

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

NeurIPS 2024 FedLPA: One-Shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

IJCAI 2024 Practical Hybrid Gradient Compression for Federated Learning Systems Sixu Hu, Linshan Jiang, Bingsheng He