Sijie He

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Predictive Modeling

Dynamic Routing

Top Venues

Publications

Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu
Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach. CoRR (2023)
Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. AAAI (2022)
Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. CoRR (2021)
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. AAAI (2021)
Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu
Flight data anomaly detection and diagnosis with variable association change. SAC (2021)
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. CoRR (2020)
Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. AAAI (2019)
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
High-Dimensional Dependency Structure Learning for Physical Processes. ICDM (2017)
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
High-Dimensional Dependency Structure Learning for Physical Processes. CoRR (2017)