Network Selection Based on Evolutionary Game and Deep Reinforcement Learning in Space-Air-Ground Integrated Network. - Kexin Fan; Bowen Feng; Xilin Zhang; Qinyu Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone-Enabled Point-of-Care Diagnostics. - Kexin Fan; Weiran Liu; Yuchen Miao; Zhen Li; Guozhen Liu (Adv. Intell. Syst., 2023)

Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. - Kexin Fan; Alexander Capstick; Ramin Nilforooshan; Payam M. Barnaghi (HealthCom, 2024)

Multi-Scenario Task Scheduling Based on Heterogeneous-Agent Reinforcement Learning in Space-Air-Ground Integrated Network. - Kexin Fan; Bowen Feng; Junyi Yang; Zhikai Zhang; Qinyu Zhang 001 (VTC Spring, 2024)

Demand-Driven Task Scheduling and Resource Allocation in Space-Air-Ground Integrated Network: A Deep Reinforcement Learning Approach. - Kexin Fan; Bowen Feng; Xilin Zhang; Qinyu Zhang 001 (IEEE Trans. Wirel. Commun., 2024)

Analysis of Laser Intersatellite Links and Topology Design for Mega-Constellation Networks. - Junyi Yang; Bo Li 034; Kexin Fan; Lirong An; Qinyu Zhang 001 (IEEE Internet Things J., 2024)

ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting. - Steven H. Wang; Maksim Zubkov; Kexin Fan; Sarah Harrell; Yuyang Sun; Wei Chen; Andreas Plesner; Roger Wattenhofer (ACL (1), 2025)

Multi-Satellite Beam Hopping and Power Allocation Using Deep Reinforcement Learning. - Xia Xie; Kexin Fan; Wenfeng Deng; Nikolaos Pappas 001; Qinyu Zhang 001 (CoRR, 2025)