| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2307 | 2018 |
| Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and … B Zhao, T Luo, T Li, Y Li, J Zhang, Y Shan, X Wang, L Yang, F Zhou, Z Zhu, ... Nature genetics 51 (11), 1637-1644, 2019 | 253 | 2019 |
| Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n = 17,706) B Zhao, J Zhang, JG Ibrahim, T Luo, RC Santelli, Y Li, T Li, Y Shan, Z Zhu, ... Molecular psychiatry 26 (8), 3943-3955, 2021 | 128 | 2021 |
| Heritability of regional brain volumes in large-scale neuroimaging and genetic studies B Zhao, JG Ibrahim, Y Li, T Li, Y Wang, Y Shan, Z Zhu, F Zhou, J Zhang, ... Cerebral Cortex 1, 11, 2018 | 65 | 2018 |
| Non-Crossing Quantile Regression for Distributional Reinforcement Learning. F Zhou, J Wang, X Feng Advances in Neural Information Processing Systems 33, 2020 | 52 | 2020 |
| Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning F Zhou, Z Zhu, Q Kuang, L Zhang IJCAI 2021, 2021 | 22 | 2021 |
| A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays CW Wang, YC Lee, E Calista, F Zhou, H Zhu, R Suzuki, D Komura, ... Bioinformatics 34 (10), 1767-1773, 2018 | 18 | 2018 |
| Directional diffusion models for graph representation learning R Yang, Y Yang, F Zhou, Q Sun Advances in Neural Information Processing Systems 36, 32720-32731, 2023 | 15 | 2023 |
| Monotonic quantile network for worst-case offline reinforcement learning C Bai, T Xiao, Z Zhu, L Wang, F Zhou, A Garg, B He, P Liu, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
| A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation T Li, F Zhou, Z Zhu, H Shu, H Zhu 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 15 | 2018 |
| TPCNN: two-phase patch-based convolutional neural network for automatic brain tumor segmentation and survival prediction F Zhou, T Li, H Li, H Zhu International MICCAI Brainlesion Workshop, 274-286, 2017 | 15 | 2017 |
| Graph-based equilibrium metrics for dynamic supply–demand systems with applications to ride-sourcing platforms F Zhou, S Luo, X Qie, J Ye, H Zhu Journal of the American Statistical Association 116 (536), 1688-1699, 2021 | 14 | 2021 |
| Graph-based semi-supervised learning with non-ignorable non-response F Zhou, T Li, H Zhou, H Zhu, J Ye Advances in Neural Information Processing Systems 32, 2019 | 13 | 2019 |
| Multi-objective distributional reinforcement learning for large-scale order dispatching F Zhou, C Lu, X Tang, F Zhang, Z Qin, J Ye, H Zhu 2021 IEEE International Conference on Data Mining (ICDM), 1541-1546, 2021 | 12 | 2021 |
| GWAS of 19,629 individuals identifies novel genetic variants for regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits B Zhao, T Luo, T Li, Y Li, J Zhang, Y Shan, X Wang, L Yang, F Zhou, Z Zhu, ... bioRxiv, 586339, 2019 | 11 | 2019 |
| Optimal treatment allocation for efficient policy evaluation in sequential decision making T Li, C Shi, J Wang, F Zhou Advances in Neural Information Processing Systems 36, 48890-48905, 2023 | 7 | 2023 |
| Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study W Zhu, Y Yuan, J Zhang, F Zhou, RC Knickmeyer, H Zhu, ... NeuroImage 146, 983-1002, 2017 | 7 | 2017 |
| Variance control for distributional reinforcement learning Q Kuang, Z Zhu, L Zhang, F Zhou arXiv preprint arXiv:2307.16152, 2023 | 6 | 2023 |
| Value enhancement of reinforcement learning via efficient and robust trust region optimization C Shi, Z Qi, J Wang, F Zhou Journal of the American Statistical Association 119 (547), 2011-2025, 2024 | 5 | 2024 |
| Mdp2 forest: A constrained continuous multi-dimensional policy optimization approach for short-video recommendation S Yu, Z Liu, S Wan, J Zheng, Z Li, F Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillZweryfikowany adres z email.unc.edu