Customized Inverse Design of Metamaterial Absorber Based on Target-Driven Deep Learning Method. - Junjie Hou; Hai Lin 009; Weilin Xu; Yuze Tian; You Wang; Xintong Shi; Feng Deng; Lijie Chen 002 (IEEE Access, 2020)

Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach. - Xintong Shi; Kohei Yamamoto; Tomoaki Ohtsuki; Yutaka Matsui; Kazunari Owada (EMBC, 2022)

Unsupervised Representation Learning-based Doppler Ultrasound Signal Quality Assessment. - Xintong Shi; Kohei Yamamoto; Tomoaki Ohtsuki; Yutaka Matsui; Kazunari Owada (GLOBECOM, 2022)

A Rank Constrained Approach for Graph Learning from Spatio-Temporal Signals. - Ziqian Yue; Aimin Jiang; Xintong Shi (CISP-BMEI, 2023)

A Robust Multi-Frame mmWave Radar Point Cloud-Based Human Skeleton Estimation Approach with Point Cloud Reliability Assessment. - Xintong Shi; Tomoaki Ohtsuki (SENSORS, 2023)

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. - Xintong Shi; Wenzhi Cao; Sebastian Raschka (Pattern Anal. Appl., 2023)

A Robust Approach Assisted by Signal Quality Assessment for Fetal Heart Rate Estimation from Doppler Ultrasound Signal. - Xintong Shi; Natsuho Niida; Kohei Yamamoto; Tomoaki Ohtsuki; Yutaka Matsui; Kazunari Owada (Sensors, 2023)

Rough-to-Fine Model-based Non-contact Heart Rate Estimation using MIMO FMCW Radar. - Xintong Shi; Mondher Bouazizi; Tomoaki Ohtsuki (GLOBECOM, 2024)

Chirp Correction and Phase Accumulation-Linear Interpolation-Assisted ICEEMDAN-Based Heart Rate Estimation from MIMO FMCW Radar. - Miiru Mutsukawa; Xintong Shi; Tomoaki Ohtsuki (HealthCom, 2024)

mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud. - Abdullah Al Masud; Xintong Shi; Mondher Bouazizi; Tomoaki Ohtsuki (ICC, 2024)

Bipartite Graph Approximation by Eigenvalue Optimization. - Aimin Jiang; Xintong Shi; Yibin Tang; Yanping Zhu; Hon Keung Kwan (IEEE Trans. Signal Inf. Process. over Networks, 2024)