Research on the Construction of a Student Model of an Adaptive Learning System Based on Cognitive Diagnosis Theory. - Yang Zhao; Yaqin Fan; Mingrui Yin; Cheng Fang (Int. J. Digit. Crime Forensics, 2020)

AweRAN: Making a Case for Application-aware Radio Access Network Slicing. - Ahan Kak; Huu-Trung Thieu; Van-Quan Pham; Ramanujan K. Sheshadri; Nakjung Choi; Yongjie Guan; Mingrui Yin; Tao Han 002 (WiNTECH, 2023)

Real-Time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination. - Yixin Zeng 001; Zoubin Bi; Mingrui Yin; Xiang Feng; Kun Zhou 001; Hongzhi Wu (CVPR, 2024)

PSASlicing: Perpetual SLA-Aware Reinforcement Learning for O-RAN Slice Management. - Mingrui Yin; Yang Deng; Ahan Kak; Nakjung Choi; Tao Han 002 (GLOBECOM, 2024)

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. - Xiaohu Li; Jiawei Liu; Guorui Liao; Mingrui Yin; Shu Wang 005; Guoxin Su; Jun Liao 001; Li Liu 001 (ICASSP, 2024)

Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System. - Mingrui Yin; Sohom Sen; Yongjie Guan; Jing Du; Xueyu Hou; Tao Han 002 (MobiCom, 2024)

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. - Shengjia Zhang; Mingrui Yin; Fuyuan Xiao 001; Zehong Cao; Danilo Pelusi (IEEE Trans. Fuzzy Syst., 2024)

Omniveyor: An Assembled Logistics Sorting System Powered by Reinforcement Learning. - Mingrui Yin; Hao Zhang 016; Chenxin Cai; Meiyan Liang; Jie Liu 001 (IEEE Trans Autom. Sci. Eng., 2025)