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ziyang song
ziyang song
Zweryfikowany adres z mail.ustc.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
Ogc: Unsupervised 3d object segmentation from rigid dynamics of point clouds
Z Song, B Yang
Advances in Neural Information Processing Systems 35, 30798-30812, 2022
322022
Jingze Yu. The robodepth challenge: Methods and advancements towards robust depth estimation
L Kong, Y Niu, S Xie, H Hu, LX Ng, B Cottereau, D Zhao, L Zhang, ...
arXiv preprint arXiv:2307.15061 2, 27, 2023
192023
Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model
Y Zou, A Pesaranghader, Z Song, A Verma, DL Buckeridge, Y Li
Scientific Reports 12 (1), 17868, 2022
182022
Automatic phenotyping by a seed-guided topic model
Z Song, Y Hu, A Verma, DL Buckeridge, Y Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
152022
Supervised multi-specialist topic model with applications on large-scale electronic health record data
Z Song, XS Toral, Y Xu, A Liu, L Guo, G Powell, A Verma, D Buckeridge, ...
Proceedings of the 12th ACM International Conference on Bioinformatics …, 2021
142021
Nvfi: Neural velocity fields for 3d physics learning from dynamic videos
J Li, Z Song, B Yang
Advances in Neural Information Processing Systems 36, 34723-34751, 2023
112023
The robodepth challenge: Methods and advancements towards robust depth estimation
L Kong, Y Niu, S Xie, H Hu, LX Ng, BR Cottereau, L Zhang, H Wang, ...
arXiv preprint arXiv:2307.15061, 2023
92023
Ha-bins: Hierarchical adaptive bins for robust monocular depth estimation across multiple datasets
R Zhu, Z Song, L Liu, J He, T Zhang, Y Zhang
IEEE Transactions on Circuits and Systems for Video Technology 34 (6), 4354-4366, 2023
72023
Scaledepth: Decomposing metric depth estimation into scale prediction and relative depth estimation
R Zhu, C Wang, Z Song, L Liu, T Zhang, Y Zhang
arXiv preprint arXiv:2407.08187, 2024
62024
Vschh 2023: A benchmark for the view synthesis challenge of human heads
Y Jang, J Zheng, J Song, H Dhamo, E Pérez-Pellitero, T Tanay, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
Z Song, R Zhu, C Wang, J Deng, J He, T Zhang
arXiv preprint arXiv:2310.08044, 2023
32023
Plane2depth: Hierarchical adaptive plane guidance for monocular depth estimation
L Liu, R Zhu, J Deng, Z Song, W Yang, T Zhang
IEEE Transactions on Circuits and Systems for Video Technology, 2024
22024
Bidirectional Generative Pre-training for Improving Time Series Representation Learning
Z Song, Q Lu, H Zhu, Y Li
arXiv e-prints, arXiv: 2402.09558, 2024
22024
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
Z Song, Q Lu, H Zhu, D Buckeridge, Y Li
arXiv preprint arXiv:2402.09558, 2024
12024
Tiface: Improving facial reconstruction through tensorial radiance fields and implicit surfaces
R Zhu, J Chang, Z Song, J Yu, T Zhang
arXiv preprint arXiv:2312.09527, 2023
12023
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
Z Song, Z Wang, B Li, H Zhang, R Zhu, L Liu, PT Jiang, T Zhang
arXiv preprint arXiv:2501.02576, 2025
2025
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
R Wang, Z Wang, Z Song, D Buckeridge, Y Li
Proceedings of the 15th ACM International Conference on Bioinformatics …, 2024
2024
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
Z Song, Q Lu, H Xu, H Zhu, D Buckeridge, Y Li
Proceedings of the 15th ACM International Conference on Bioinformatics …, 2024
2024
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Z Song, Q Lu, H Zhu, D Buckeridge, Y Li
arXiv preprint arXiv:2410.02133, 2024
2024
OSN: infinite representations of dynamic 3D scenes from monocular videos
Z Song, J Li, B Yang
arXiv preprint arXiv:2407.05615, 2024
2024
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