Jin, Huaqing

Jin, Huaqing

Assistant professor at Tsinghua University

Publications

You can also find my articles on Google Scholar.

Manuscripts

^: Co-first; *: Corresponding author

  1. Cai, H.+, Jin, H.+, Li, L.* Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference, Biometrics, Revision invited, 2025 , submitted
  2. Jin, H., Qin, J., Huang, C.Y.* Conformal Inference for Minority Subgroups via Cross-Group Borrowing, Biometrics, Submitted, 2026

Publications

^: Co-first; *: Corresponding author

Neuroimaging

  1. Jin, H., Ranasinghe, K.G., Prabhu, P., Dale, C., Gao, Y., Kudo, K., Vossel, K., Raj, A., Nagarajan, S.S.*, Jiang, F.* Dynamic functional connectivity MEG features of Alzheimer’s disease, NeuroImage, 281, 120358, 2023. [Code]
  2. Jin, H.+, Verma, P.+, Jiang, F., Nagarajan, S.S., Raj, A.* Bayesian inference of a spectral graph model for brain oscillations, NeuroImage, 279, 120278, 2023. [Code] [Link]
  3. Jiang, F.+, Jin, H.+, Gao, Y., Xie, X., Cummings, J., Raj, A., Nagarajan, S.* Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging, NeuroImage, 254, 119131, 2022. [Code]
  4. Jin, H., Abdelnour, F., Verma, P., Sipes, B.S., Nagarajan, S.S., Raj, A.* Bayesian inference of frequency-specific functional connectivity in MEG imaging using a spectral graph model, Imaging Neuroscience, 2, 1-24, 2024. [Code] [A clean implementation] [Impact Statement of the journal]
  5. Jin, H., Jiang, F. High-dimensional inference for functional regression with an application to the Alzheimer’s disease magnetoencephalography study, Biostatistics, 26(1), kxaf050, 2025.

Statistical methodology

  1. Jin, H., Yin, G., Yuan, B., Jiang, F.* Bayesian hierarchical model for change point detection in multivariate sequences, Technometrics, 64(2), 177--186, 2022.
  2. Jin, H., Ma, Y., Jiang, F.* Matrix completion with covariate information and informative missingness, Journal of Machine Learning Research, 23(180), 1--62, 2022.

Clinical trial

  1. Jin, H., Kim, M.O., Scheffler, A., Jiang, F.* Bayesian adaptive design for covariate-adaptive historical control information borrowing, Statistics in medicine, 42(29), 5338--5352, 2023. [Supp] [Code]
  2. Jin, H., Yin, G.* Time-to-event calibration-free odds design: a robust efficient design for phase I trials with late-onset outcomes, Pharmaceutical Statistics, 22(5), 773--783, 2023. [Supp]
  3. Jin, H., Yin, G.* CFO: Calibration-free odds design for phase I/II clinical trials, Statistical Methods in Medical Research, 31(6), 1051--1066, 2022. [Supp] [Code]
  4. Jin, H., Yin, G.* Unit information prior for adaptive information borrowing from multiple historical datasets, Statistics in Medicine, 40(25), 5657--5672, 2021.
  5. Jin, H., Yin, G.* Bayesian enhancement two-stage design with error control for phase II clinical trials, Statistics in Medicine, 39(29), 4452--4465, 2020. [Code]
  6. Jin, H., Du, W., Yin, G.* Approximate Bayesian computation design for phase I clinical trials, Statistical methods in medical research, 31(12), 2310--2322, 2022. [Supp]

Others

  1. Zhang, C., Jin, H., Wen, Y.F., Yin, G.* Efficacy of COVID-19 treatments: a Bayesian network meta-analysis of randomized controlled trials, Frontiers in Public Health, 9, 729559, 2021.
  2. Yin, G.*, Zhang, C., Jin, H. Statistical issues and lessons learned from COVID-19 clinical trials with lopinavir-ritonavir and remdesivir, JMIR Public Health and Surveillance, 6(3), e19538, 2020.
  3. Yin, G.*, Jin, H. Comparison of transmissibility of coronavirus between symptomatic and asymptomatic patients: reanalysis of the Ningbo COVID-19 data, JMIR public health and surveillance, 6(2), e19464, 2020.
  4. Lam, C.K., Jin, H., Jiang, F., Yin, G.* A Variable Selection Approach to Multiple Change-Points Detection, Statistics and Its Interface, 13(2), 251--260, 2020.
  5. Du, W., Jin, H., Yu, C., Yin, G.* Deep Reinforcement Learning for Bandit Arm Localization, 2022 IEEE International Conference on Big Data (Big Data), 5243--5252, 2022.
  6. Wang, W., Jin, H., Zhang, Y.D., Yin, G.* Two-dimensional calibration-free odds design for phase I drug-combination trials, Frontiers in Oncology, 13, 1294258, 2023.