Sijie He

According to our database, Sijie He authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Blockchain-Enabled Routing for Zero-Trust Low-Altitude Intelligent Networks.

Ziye Jia, Sijie He, Ligang Yuan, Fuhui Zhou, Qihui Wu, Zhu Han, Dusit Niyato

IEEE J. Sel. Areas Commun., 2026

2025

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning.

Ziye Jia, Sijie He, Qiuming Zhu, Wei Wang, Qihui Wu, Zhu Han

IEEE Trans. Commun., December, 2025

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning.

Ziye Jia, Sijie He, Qiuming Zhu, Wei Wang, Qi-Hui Wu, Zhu Han

CoRR, August, 2025

Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning.

Hongbao Li, Ziye Jia, Sijie He, Kun Guo, Qihui Wu

CoRR, July, 2025

Trusted Routing for Blockchain-Enabled Low-Altitude Intelligent Networks.

Sijie He, Ziye Jia, Qiuming Zhu, Fuhui Zhou, Qihui Wu

CoRR, June, 2025

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue.

Yulu Han, Ziye Jia, Sijie He, Yu Zhang, Qihui Wu

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

T3A-LLM: A Two-Stage Temporal Knowledge Graph Alignment Method Enhanced by LLM.

Tao Wang, Runhao Zhao, Jiuyang Tang, Xianghan Wang, Xiaolu Liu, Sijie He

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2025

2023

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach.

Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration.

Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flight data anomaly detection and diagnosis with variable association change.

Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances.

Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Interpretable Predictive Modeling for Climate Variables with Weighted Lasso.

Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

High-Dimensional Dependency Structure Learning for Physical Processes.

Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017