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Xintong Shi
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2020 – today
- 2024
- [j4]Aimin Jiang, Xintong Shi, Yibin Tang, Yanping Zhu, Hon Keung Kwan:
Bipartite Graph Approximation by Eigenvalue Optimization. IEEE Trans. Signal Inf. Process. over Networks 10: 307-319 (2024) - [c5]Abdullah Al Masud, Xintong Shi, Mondher Bouazizi, Tomoaki Ohtsuki:
mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud. ICC 2024: 2161-2166 - 2023
- [j3]Xintong Shi, Wenzhi Cao, Sebastian Raschka:
Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. Pattern Anal. Appl. 26(3): 941-955 (2023) - [j2]Xintong Shi, Natsuho Niida, Kohei Yamamoto, Tomoaki Ohtsuki, Yutaka Matsui, Kazunari Owada:
A Robust Approach Assisted by Signal Quality Assessment for Fetal Heart Rate Estimation from Doppler Ultrasound Signal. Sensors 23(24): 9698 (2023) - [c4]Ziqian Yue, Aimin Jiang, Xintong Shi:
A Rank Constrained Approach for Graph Learning from Spatio-Temporal Signals. CISP-BMEI 2023: 1-5 - [c3]Xintong Shi, Tomoaki Ohtsuki:
A Robust Multi-Frame mmWave Radar Point Cloud-Based Human Skeleton Estimation Approach with Point Cloud Reliability Assessment. SENSORS 2023: 1-4 - 2022
- [c2]Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki, Yutaka Matsui, Kazunari Owada:
Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach. EMBC 2022: 1296-1299 - [c1]Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki, Yutaka Matsui, Kazunari Owada:
Unsupervised Representation Learning-based Doppler Ultrasound Signal Quality Assessment. GLOBECOM 2022: 2254-2259 - 2021
- [i1]Xintong Shi, Wenzhi Cao, Sebastian Raschka:
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. CoRR abs/2111.08851 (2021) - 2020
- [j1]Junjie Hou, Hai Lin, Weilin Xu, Yuze Tian, You Wang, Xintong Shi, Feng Deng, Lijie Chen:
Customized Inverse Design of Metamaterial Absorber Based on Target-Driven Deep Learning Method. IEEE Access 8: 211849-211859 (2020)
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