Publication

Manuscript

• Muxuan Liang, Ying-Qi Zhao, Daniel Lin, Matthew Cooperberg, Yingye Zheng*. Estimating optimally tailored active surveillance strategy under interval censoring. Submitted.

• Muxuan Liang*, Yang Ning, Maureen Smith, Ying-Qi Zhao*. Inference with non-differentiable surrogate loss in a general high-dimensional classification framework. Under revision.

• Jaeyoung Park#, Muxuan Liang* (co-first author), Ying-Qi Zhao, Xiang Zhong. Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism. Under revision.

• Muxuan Liang*, Jaeyoung Park# (co-first author), Qing Lu, Xiang Zhong. Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes. Under minor revision.

Individualized Decision Making

• Muxuan Liang, Menggang Yu* (2023).  Relative Contrast Estimation and Inference for Treatment Recommendation. Biometrics.

• Muxuan Liang, Young-Geun Choi, Yang Ning, Maureen Smith, Ying-Qi Zhao* (2022). Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. Journal of Machine Learning Research. [package]

• Muxuan Liang, Menggang Yu* (2022).  A Semiparametric Approach to Model Effect Modification. Journal of the American Statistical Association. [package] - Dean's Citation Paper Award

• Yi Li*, Muxuan Liang, Lu Mao, Sijian Wang (2021). Robust Estimation and Variable Selection for the Accelerated Failure Time Model. Statistics in Medicine. [package]

• Muxuan Liang, Ying-Qi Zhao* (2021). Comment on "More efficient policy learning via optimal retargeting" and "Learning optimal distributionally robust individualized treatment rules". Journal of the American Statistical Association.

• Jared Huling, Menggang Yu*, Muxuan Liang, Maureen Smith (2018). Risk Prediction for Heterogeneous Populations with Application to Hospital Admission Prediction. Biometrics. [package]

Deep Learning Methods

• Jiang, Hongxu, Muhammad Imran, Preethika Muralidharan, Anjali Patel, Jake Pensa, Muxuan Liang, Tarik Benidir et al (2024). MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images. Computerized Medical Imaging and Graphics.

• Imran, Muhammad, Brianna Nguyen, Jake Pensa, Sara M. Falzarano, Anthony E. Sisk, Muxuan Liang, John Michael DiBianco et al (2023). Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study. arXiv preprint arXiv:2305.19939.

• Muxuan Liang*, Ting Ye, Haoda Fu (2018). Estimating Individualized Optimal Combination Therapies through Outcome Weighted Deep Learning Algorithms. Statistics in Medicine.

• Sai Zhang, Muxuan Liang, Zhongjun Zhou, Chen Zhang, Ning Chen, Ting Chen, and Jianyang Zeng* (2017). Elastic Restricted Boltzmann Machines for Cancer Data Analysis. Quantitative Biology.

• Muxuan Liang, Zhizhong Li, Ting Chen and Jianyang Zeng* (2015). Integrative Data Analysis of Multi-platform Cancer Data with a Multimodal Deep Learning Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. [code]

Collaborative Research

• SPIES Consortium (2024). Adverse outcomes and an immunosuppressed endotype in septic patients with reduced IFN-γ ELISpot. JCI Insight.

• Mafee, Mariam, Brittany Buhalog, Muxuan Liang, Menggang Yu, Juliet Aylward, and Yaohui G. Xu (2023). Length-to-width ratio in Mohs defects: what is the golden rule? Archives of Dermatological Research.

• Danting Yang, Meghann Wheeler, Shama Karanth, Livingstone Aduse-Poku, Christiaan Leeuwenburgh, Stephen Anton, Yi Guo, Jiang Bian, Muxuan Liang, Hyung-Suk Yoon, Tomi Akinyemiju, Dejana Braithwaite*, Donyu Zhang* (2023). Allostatic load and risk of all-cause, cancer-specific, and cardiovascular mortality in older cancer survivors:An analysis of the National Health and Nutrition Examination Survey 1999-2010. Journal Aging and Cancer.

• Dongyu Zhang, Kori A. Spiropoulos, Akemi Wijayabahu, Demetra D. Christou, Shama D. Karanth, Stephen D. Anton, Christiaan Leeuwenburgh, Muxuan Liang, Meghann Wheeler, Danting Yang, Aduse-Poku Livingstone, Robert T. Mankowski, Ting-Yuan David Cheng, Erin Siegel, Frank J. Penedo, Jonathan D. Licht, Dejana Braithwaite (2023). Low muscle mass is associated with a higher risk of all-cause and cardiovascular disease-specific mortality in cancer survivors. Nutrition.

• Zinan Wang, Joseph P. Receveur, Jian Pu, Haosu Cong, Cole Richards, Muxuan Liang, Henry Chung (2022). Desiccation resistance differences in Drosophila species can be largely explained by variations in cuticular hydrocarbons. eLife.

• Baran Vardar, Ece Meram, Kerim Karaoglu, Muxuan Liang, Menggang Yu, Paul Laeseke, Orhan Ozkan (2022). Radioembolization followed by Transarterial Chemoembolozation in Hepatocellular Carcinoma. Cureus Journal of Medical Science.

• Jaeyoung Park#, Muxuan Liang, Jordan Alpert, Richard Brown, Xiang Zhong* (2020). Examining the Causal Relationship of Portal Usage and Self-Efficacious Health Information Seeking Behaviors Using HINTS Data. Journal of Medical Internet Research. 

• Xiang Zhong*, Jaeyoung Park#, Muxuan Liang, Fangyun Shi, Pamela R. Budd, Julie L. Sprague, Marvin A. Dewar (2020). Characteristics of Patients Using Different Patient Portal Functions and the Impact on Primary Care Service Utilization and Appointment Adherence. Journal of Medical Internet Research.

• Xiang Zhong*, Muxuan Liang, Menggang Yu, Marvin A. Dewar, Pam R. Budd, Julie L. Sprague (2018). On the effect of electronic patient portal on primary care utilization. BMC Medical Informatics and Decision Making. 

• Carlos Coriano, Fabao Liu, Chelsie K. Sievers, Muxuan Liang, Yidan Wang, Yoongho Lim, Menggang Yu, Wei Xu* (2018). A Computational Based Approach to Identify Estrogen Receptor alpha/beta Heterodimer Selective Ligands. Molecular Pharmacology. 

* indicates the corresponding author; # indicates the student mentored