zhangzw16
Ph.D. student specializing in AI for Time Series at Tsinghua university. More info at https://zhangzw16.github.io
Tsinghua Univ.Beijing, China
Pinned Repositories
ProbTS
ProbTS is a benchmarking toolkit for time series forecasting.
fall-detection-using-KINECT
Human–Computer Interaction project for media and cognition 2019
Hangman-Game-Solvers
NLP and Deep learning solvers for Hangman Game
NNC-Vue
nprintml
nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.
Project-for-Signals-and-Systems-2021
清华大学谷源涛老师《信号与系统》大作业2021
SageFormer
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
Seq2Peak
Code release for CIKM 2023 paper "Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting".
TADNet
Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".
Tensor-Time-Series
Papers and datasets for tensor time series.
zhangzw16's Repositories
zhangzw16/SageFormer
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
zhangzw16/Seq2Peak
Code release for CIKM 2023 paper "Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting".
zhangzw16/TADNet
Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".
zhangzw16/Project-for-Signals-and-Systems-2021
清华大学谷源涛老师《信号与系统》大作业2021
zhangzw16/Tensor-Time-Series
Papers and datasets for tensor time series.
zhangzw16/Hangman-Game-Solvers
NLP and Deep learning solvers for Hangman Game
zhangzw16/daily_reminder
微信公众号全自动每日推送
zhangzw16/fall-detection-using-KINECT
Human–Computer Interaction project for media and cognition 2019
zhangzw16/NNC-Vue
zhangzw16/nprintml
nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.
zhangzw16/Spatio-Temporal-Analysis-Telecom-Italia
zhangzw16/THU-PPT-Theme
清华主题PPT模板
zhangzw16/uni2ts
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers