Human activity classification with radar signal processing and machine learning. - Mu Jia; Shaoxuan Li; Julien Le Kernec; Shufan Yang; Francesco Fioranelli; Olivier Romain (UCET, 2020)

Elderly Care: Using Deep Learning for Multi-Domain Activity Classification. - Shaoxuan Li; Mu Jia; Julien Le Kernec; Shufan Yang; Francesco Fioranelli; Olivier Romain (UCET, 2020)

ConvLSTM Coupled Economics Indicators Quantitative Trading Decision Model. - Yong Qi; Hefeifei Jiang; Shaoxuan Li; Junyu Cao (Symmetry, 2022)

Reinforcement Learning Based QoS-Aware Anti-Jamming Underwater Video Transmission. - Shiyu Sun; Shun Chen; Shaoxuan Li; Zefang Lv; Liang Xiao 003; Wei Su 002 (WCNC, 2024)

OpenC2: An Open-Source End-to-End Hardware Compiler Development Framework for Digital Compute-in-Memory Macro. - Tianchu Dong; Shaoxuan Li; Yihang Zuo; Hongwu Jiang; Yuzhe Ma; Shanshi Huang (DATE, 2025)

MC-CDNNs: The Monte Carlo-coupled deep neural networks approach for stochastic dual-porosity-Stokes flow coupled model. - Jian Li 029; Shaoxuan Li; Jing Yue (Comput. Math. Appl., 2025)

The sampling network for a 16-channel time-interleaved ADC. - Pengfei Ji; Chengyuan Liu; Li Dang; Shaoxuan Li; Ruixue Ding; Shubin Liu; Zhangming Zhu (Microelectron. J., 2025)

Reinforcement-Learning-Based Smart AUV-IoUT Localization in Underwater Acoustic Topology Network. - Yuchen Yue; Ziyao Pan; Shaoxuan Li; Wei Su 002; Jing Han 008 (IEEE Internet Things J., 2025)

Parallel-KANs: A parallel Kolmogorov-Arnold Networks approach for solving nonstationary Stokes-Darcy coupled model. - Shaoxuan Li; Jing Yue; Jian Li (Commun. Nonlinear Sci. Numer. Simul., 2026)