Kaiwen He

According to our database, Kaiwen He authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego.

Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilian Apodaca, Paul Rodríguez, Mahidhar Tatineni, Mary P. Thomas, Santosh Bhatt

IEEE Trans. Parallel Distributed Syst., June, 2023

Passive SSH Key Compromise via Lattices.

Keegan Ryan, Kaiwen He, George Arnold Sullivan, Nadia Heninger

IACR Cryptol. ePrint Arch., 2023

2022

Deep Transfer Learning Across Cities for Mobile Traffic Prediction.

Qiong Wu, Kaiwen He, Xu Chen, Shuai Yu, Junshan Zhang

IEEE/ACM Trans. Netw., 2022

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction.

Kaiwen He, Xu Chen, Qiong Wu, Shuai Yu, Zhi Zhou

IEEE Trans. Mob. Comput., 2022

The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren.

Aleksandra Foksinska, Camerron M. Crowder, Andrew B. Crouse, Jeff Henrikson, William E. Byrd, Gregory Rosenblatt, Michael J. Patton, Kaiwen He, Thi K. Tran-Nguyen, Marissa Zheng, Stephen A. Ramsey, Nada Amin, John D. Osborne, Matthew Might

Frontiers Artif. Intell., 2022

2020

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework.

Qiong Wu, Kaiwen He, Xu Chen

IEEE Open J. Comput. Soc., 2020

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network.

Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen

IEEE J. Sel. Areas Commun., 2020

2019

Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction.

Kaiwen He, Yufen Huang, Xu Chen, Zhi Zhou, Shuai Yu

Proceedings of the 2019 IEEE Global Communications Conference, 2019