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 | 32 | 2022 |
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 | 19 | 2023 |
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 | 18 | 2022 |
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 | 15 | 2022 |
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 | 14 | 2021 |
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 | 11 | 2023 |
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 | 9 | 2023 |
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 | 7 | 2023 |
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 | 6 | 2024 |
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 | 4 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 |