Interview Talk at MSRA: Towards a Robust, Versatile, and Accurate Deep Learning Framework for Time-series Analysis’
Intern Interview Presentation at MSRA ML Forecasting Team, Beijing, China
CV
Education
- Ph.D student in Information and Communication Engineering, Tsinghua University, 2020 - 2025 (expected)
- B.E. in Electronic Engineering, Tsinghua University, 2016 - 2020
- B.S. in Economics, Tsinghua University, 2016 - 2020
Work experience
- Huawei Technologies (Internship)
- Laboratory 2012, University-Enterprise Cooperation
- Jul 2022 - Jun 2023
- Megvii Technology (Internship)
- ReID Team, Deep Learning
- Jun 2019 - Sep 2019
- Beijing Sinovatio Technology (Internship)
- Software Development
- Jul 2018 - Aug 2018
Service and leadership
- Beijing Winter Olympics
- Volunteer, Technical Department, National Stadium
- Jan 2022 - Mar 2022
- Student Work-Study Program, Tsinghua University
- Deputy Head of Organization, Technology Service Team
- Sep 2019 - Aug 2020
- Student Union, Department of Electronics, Tsinghua University
- Head of Publicity Department
- Sep 2018 - Aug 2019
Talks
ICASSP 2024 Oral: ‘Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection’
Conference proceedings talk at ICASSP 2024, Seoul, South Korea
Ph.D Thesis Open Defense: ‘Advancing Time Series Mining Techniques for Multi-Source Heterogeneous Data’
Talk at Department of Electronic Engineering, Tsinghua University, China, Beijing
CIKM 2023 poster: ‘Unlocking the potential of Deep Learning in Peak-Hour Series Forecasting’
Presentation at Eastside Rooms, Birmingham, UK