Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction. - Kaiwen He; Yufen Huang; Xu Chen 004; Zhi Zhou 006; Shuai Yu 001 (GLOBECOM, 2019)

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network. - Qiong Wu 009; Muhong Wu; Xu Chen 004; Zhi Zhou 006; Kaiwen He; Liang Chen 009 (IEEE J. Sel. Areas Commun., 2020)

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework. - Qiong Wu 009; Kaiwen He; Xu Chen 004 (IEEE Open J. Comput. Soc., 2020)

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; et al. (Frontiers Artif. Intell., 2022)

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction. - Kaiwen He; Xu Chen 004; Qiong Wu 009; Shuai Yu 001; Zhi Zhou 006 (IEEE Trans. Mob. Comput., 2022)

Deep Transfer Learning Across Cities for Mobile Traffic Prediction. - Qiong Wu 009; Kaiwen He; Xu Chen 004; Shuai Yu 001; Junshan Zhang (IEEE/ACM Trans. Netw., 2022)

Passive SSH Key Compromise via Lattices. - Keegan Ryan; Kaiwen He; George Arnold Sullivan; Nadia Heninger (IACR Cryptol. ePrint Arch., 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; et al. (IEEE Trans. Parallel Distributed Syst., 2023)