| Probabilistic Path Hamiltonian Monte Carlo V Dinh, A Bilge, C Zhang, FA Matsen IV International Conference on Machine Learning, 2017 70, 1009-1018, 2017 | 52 | 2017 |
| Hamiltonian Monte Carlo acceleration using surrogate functions with random bases C Zhang, B Shahbaba, H Zhao Statistics and Computing 27 (6), 1473-1490, 2017 | 45* | 2017 |
| Variational Bayesian Phylogenetic Inference C Zhang, FA Matsen IV International Conference on Learning Representations, 2019, 2019 | 42 | 2019 |
| Variational Hamiltonian Monte Carlo via score matching C Zhang, B Shahbaba, H Zhao Bayesian Analysis 13 (2), 485-506, 2018 | 34 | 2018 |
| Generalizing tree probability estimation via bayesian networks C Zhang, FA Matsen IV Advances in Neural Information Processing Systems, 2018, 1444-1453, 2018 | 30 | 2018 |
| Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows C Zhang Advances in Neural Information Processing Systems, 2020, 18760-18771, 2020 | 21 | 2020 |
| Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space C Zhang, B Shahbaba, H Zhao Computational Statistics 32, 253-279, 2017 | 21 | 2017 |
| Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks C Zhang International Conference on Learning Representations, 2023, 2023 | 10 | 2023 |
| A variational approach to bayesian phylogenetic inference C Zhang, FA Matsen IV arXiv preprint arXiv:2204.07747, 2022 | 10 | 2022 |
| Nonbifurcating phylogenetic tree inference via the adaptive LASSO C Zhang, V Dinh, FA Matsen IV Journal of the American Statistical Association 116 (534), 858-873, 2021 | 6 | 2021 |
| A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems S Li, C Zhang, Z Zhang, H Zhao Statistics and Computing 33 (4), 90, 2023 | 4 | 2023 |
| Semi-Implicit Variational Inference via Score Matching L Yu, C Zhang International Conference on Learning Representations, 2023, 2023 | 4 | 2023 |
| Particle-based Variational Inference with Generalized Wasserstein Gradient Flow Z Cheng, S Zhang, L Yu, C Zhang Advances in Neural Information Processing Systems, 2023, 2023 | 3 | 2023 |
| Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration L Yu, T Xie, Y Zhu, T Yang, X Zhang, C Zhang Advances in Neural Information Processing Systems, 2023, 2023 | 2 | 2023 |
| Variational Bayesian Supertrees M Karcher, C Zhang, FA Matsen IV arXiv preprint arXiv:2104.11191, 2021 | 2 | 2021 |
| Scalable Hamiltonian Monte Carlo via Surrogate Methods C Zhang UC Irvine, 2016 | 2 | 2016 |
| A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm SH Jun, H Nasif, C Jennings-Shaffer, DH Rich, A Kooperberg, ... Algorithms for Molecular Biology 18 (1), 10, 2023 | 1 | 2023 |
| Intervention Generative Adversarial Networks J Liang, L Zhang, C Zhang, Z Zhang arXiv preprint arXiv:2008.03712, 2020 | 1 | 2020 |
| Kernel Semi-Implicit Variational Inference Z Cheng, L Yu, T Xie, S Zhang, C Zhang arXiv preprint arXiv:2405.18997, 2024 | | 2024 |
| Reflected Flow Matching T Xie, Y Zhu, L Yu, T Yang, Z Cheng, S Zhang, X Zhang, C Zhang arXiv preprint arXiv:2405.16577, 2024 | | 2024 |
Frederick "Erick" A. Matsen IVProfessor, Fred Hutchinson Cancer Research Center在 fredhutch.org 的电子邮件经过验证
