CIKM 2023 poster: ‘Unlocking the potential of Deep Learning in Peak-Hour Series Forecasting’
Published:
Poster presentation at CIKM 2023
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talks
Ph.D Thesis Open Defense: ‘Advancing Time Series Mining Techniques for Multi-Source Heterogeneous Data’
Published:
This talk is a presentation of my Ph.D. qualification examination (open defense) on the topic of “Advancing Time Series Mining Techniques for Multi-Source Heterogeneous Data”. The presentation was given at the Department of Electronic Engineering, Tsinghua University, China, Beijing. The presentation PDF can be found here.
ICASSP 2024 Oral: ‘Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection’
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This talk is a presentation of our paper “Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection” at ICASSP 2024.
Interview Talk at MSRA: Towards a Robust, Versatile, and Accurate Deep Learning Framework for Time-series Analysis’
Published:
This talk is a invited interview talk at MSRA ML Forecasting Team, topic is about “Towards a Robust, Versatile, and Accurate Deep Learning Framework for Time-series Analysis”.