SuDIS | 浙江大学可持续数据智能与数据系统课题组
SuDIS | 浙江大学可持续数据智能与数据系统课题组
最新动态
团队成员
研究成果
中文 (简体)
中文 (简体)
English
Yan Zhao
最新
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation
LightTR: A Lightweight Framework for Federated Trajectory Recovery
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing
引用
×