Sijie He (思捷)
Welcome! I am a Ph.D. candidate in Department of Computer Science & Engineering at University of Minnesota, Twin Cities. My advisor is Prof. Arindam Banerjee.
Prior to this, I obtained my Bachelor and Master degree in Electrical Engineering from Harbin Institute of Technology, China.
My resume can be found here.
Research Interests
My main research interests are in spatiotemporal data analysis and causal learning. I’ve been studying and applying those techniques on problems from a variety of areas such as climate sciences, and condition monitoring data analysis.
Publications
Learning and dynamical models for sub-seasonal climate forecasting: comparison and collaboration
Sijie He, Xinyan Li, Laurie Trenary, Benjamin Cash, Timothy DelSole, and Arindam Banerjee.
AAAI Conference on Artificial Intelligence, 2022 [pdf][code][data]
Machine learning and dynamical models for sub-seasonal climate forecasting
Sijie He, Xinyan Li, Laurie Trenary, Benjamin Cash, Timothy DelSole, and Arindam Banerjee.
NeurIPS workshop on Machine Learning and the Physical Sciences, 2021 [pdf][code][data]
Sub-seasonal climate forecasting via machine learning: challenges, analysis, and advances
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, and Arindam Banerjee
AAAI Conference on Artificial Intelligence, 2021 [pdf][code][data] [website]
Flight data anomaly detection and diagnosis with variable association change
Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue, and Chenxiao Xu
ACM/SIGAPP Symposium on Applied Computing, 2021 (Acceptance rate: 23%) [pdf]
Interpretable predictive modeling for Azure demand
Sijie He, Catherine Fan, and Eithon Cadag
Machine Learning and Data Sciences Conference, Microsoft, 2020
Interpretable predictive modeling for climate variables with weighted lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar, and Arindam Banerjee
AAAI Conference on Artificial Intelligence, 2019 [pdf][code]
(Acceptance rate: 16.2%, selected for oral presentation)
Land climate prediction using sea surface temperatures
Sijie He, Xinyan Li, Vidyashankar Sivakumar, and Arindam Banerjee
International Workshop on Climate Informatics, 2018 (Spotlight presentation, acceptance rate: 7/45)
High-dimensional dependency structure learning for physical processes
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, and Arindam Banerjee
IEEE International Conference on Data Mining (ICDM), 2017 [pdf][arxiv]
(Acceptance rate: 19.9%)
Flight mode recognition method of the unmanned aerial vehicle based on telemetric data
Sijie He, Datong Liu, and Yu Peng
Chinese Journal of Scientific Instrument, 2016 (Best paper award, acceptance rate: 10%)
Fault diagnosis for discrete monitoring data based on fusion algorithm
Sijie He, Yu Peng, and Datong Liu
IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2015 [pdf]
(Best presentation in PHM subsection)
Work Experience
Summer 2021 Visiting scholar at University of Illinois Urbana-Champaign
Summer 2020 Data scientist internship in Cloud+AI group, Microsoft
Summer 2019 Research internship in Global Research Center, General Electric - Mentor: Dr. Hao Huang
Fall 2018 Teaching assistant of Computational Aspects of Matrix Theory, UMN - Prof. Yousef Saad
Summer 2015 Teaching assistant of System Reliability Engineering and Technology, HIT - Prof. Haitao Liao
Awards
Student Travel award, AAAI (2019)
Student Travel award, CI Workshop (2018)
Student Travel Award, ICDM (2017)
Quality Metrics Fellowship for Graduate Study, University of Minnesota (2016 - 2017)
Best Paper award, Chinese Journal of Scientific Instrument (2016)
Best Graduate Thesis Award in Harbin Institute of Technology (2016)
National Scholarship for Graduate Students in China (2015)
Best Oral Presentation Award, ICEMI (2015)
Endress+Hauser SC China Scholarship (2013)