Sinian Zhang

My Publications

For a complete list of publications, visit my Google Scholar profile

GUALO: A Generalizable Uncertainty-Aware AI Agent for Logic Optimization

Jingxin Wang^*, Sinian Zhang^*, Yun Liang, Yibo Lin, Pengpeng Ren, Runsheng Wang, Weikang Qian (2026) (*Equal Contribution)

IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2026

Uncertainty Quantification Logic Optimization Trustworthy AI

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Aligning Language Models with Selective Prediction

Gaoxiang Luo, Yifan Wu, Sinian Zhang, Aryan Deshwal, Ju Sun (2026)

Under review, Annual Conference on Neural Information Processing Systems (NeurIPS) 2026 · arXiv preprint arXiv:2607.03528

Large Language Models Selective Prediction Trustworthy AI

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Predicting the Timing of First Sustained Cognitive Worsening in Alzheimer's Disease Using Real-World Clinical Data and Machine Learning

Shruthi Venkatesh^*, Sinian Zhang^*, Wen Zhu, Michele Morris, Rocco Mercurio, Sarah B. Berman, Hansruedi Mathys, Abby L. Olsen, C. Elizabeth Shaaban, Shyam Visweswaran, Oscar L. Lopez, Tianxi Cai, Jue Hou, Zongqi Xia (2026) (*Equal Contribution)

Under review, npj Aging · medRxiv preprint

Alzheimer's Disease Electronic Health Records Deep Learning

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Antidiabetic Drug Associations With Heart Failure Outcomes: Real-World Evidence Study Using Electronic Health Records

Elzbieta Jodlowska-Siewert, Yunhui Chen, Sinian Zhang, Jia Li, Robert Dellavalle, Rui Zhang, Jue Hou (2026)

JMIR Diabetes

Real-World Evidence Electronic Health Records Causal Inference

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Wasserstein Transfer Learning

Kaicheng Zhang^*, Sinian Zhang^*, Doudou Zhou, Yidong Zhou (2025) (*Equal Contribution)

Advances in Neural Information Processing Systems (NeurIPS) 2025

Transfer Learning Optimal Transport Machine Learning Theory

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Generalized Linear Markov Decision Process

Sinian Zhang^*, Kaicheng Zhang^*, Ziping Xu, Tianxi Cai, Doudou Zhou (2025) (*Equal Contribution)

arXiv preprint arXiv:2506.00818

Reinforcement Learning Markov Decision Process Statistical Learning

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DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains

Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang (2025)

Findings of the Association for Computational Linguistics: EMNLP 2025

Large Language Models Knowledge Graph Completion Retrieval-Augmented Generation

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Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

Feiqing Huang, Jue Hou, Ningxuan Zhou, Kimberly Greco, Chenyu Lin, Sara Morini Sweet, Jun Wen, Lechen Shen, Nicolas Gonzalez, Sinian Zhang, et al. (2025)

Journal of Medical Internet Research

Electronic Health Records Real-World Evidence Chronic Disease

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FuseLinker: Leveraging LLM's Pre-trained Text Embeddings and Domain Knowledge to Enhance GNN-based Link Prediction on Biomedical Knowledge Graphs

Yongkang Xiao, Sinian Zhang, Huixue Zhou, Mingchen Li, Han Yang, Rui Zhang (2024)

Journal of Biomedical Informatics

Knowledge Graphs Large Language Models Biomedical Informatics

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The Wreaths of Khan: Uniform Graph Feature Selection with False Discovery Rate Control

Jiajun Liang, Yue Liu, Doudou Zhou, Sinian Zhang, Junwei Lu (2024)

In revision, Biometrika · arXiv preprint arXiv:2403.12284

Graph Analysis Feature Selection Statistical Testing

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Generate Analysis-ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records with Advanced Informatic Technologies

Jue Hou, Rachel Zhao, Jessica Gronsbell, Yucong Lin, Clara-Lea Bonzel, Qingyi Zeng, Sinian Zhang, Brett K. Beaulieu-Jones, Griffin M. Weber, Thomas Jemielita, et al. (2023)

Journal of Medical Internet Research

Health Informatics Data Science Real-World Evidence

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A Post-processing Machine Learning for Activity Recognition Challenge with OpenStreetMap Data

Shiyao Huang, Junliang Lyu, Sinian Zhang, Ruiying Tang, Huan Xiao, Yuanyuan Zhang, Xiaoling Lu (2023)

Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2023 ACM International Symposium on Wearable Computers

Activity Recognition Ubiquitous Computing Spatial Data Analysis

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Working Papers

Ensemble Selective Classification Under Review

Sinian Zhang^*, Chongwei Chen^*, Guanchen Li, Ju Sun (*Equal Contribution)

Annual Conference on Neural Information Processing Systems (NeurIPS) 2026 Code
Triply Robust Surrogate Assisted Semi-supervised Estimation of High-dimensional Linear Regression with Missing-at-Random Outcomes In Preparation

Jue Hou^*, Sinian Zhang^*, Andrea Rotnitzky, James M. Robins, Tianxi Cai (*Equal Contribution)
Federated Adaptive Causal Estimation with High-Dimensional Covariates (FACE-HD) In Preparation

Sinian Zhang, Yuanlin Feng, Jue Hou

To be presented at the 7th ICSA-Canada Chapter Symposium, McGill University, Montreal, Aug 2026
Supervised Multi-View Representation Learning with Exponential-Family Reconstruction, Feature Selection, and Fairness Assessment In Preparation

Sinian Zhang, Sandra Safo
IntegMultiReg: An R Package for Integrative Bayesian Multi-Regression of Multi-Platform Biomarkers In Preparation

Sinian Zhang, Jianfeng Wang, Thierry Chekouo

Accompanying R package submitted to CRAN

Software

IntegMultiReg

R package (MCMC sampler in C) · Submitted to CRAN, 2026

Integrative Bayesian multi-regression of multi-platform biomarkers, supporting continuous, binary and survival outcomes with missing platforms.

Khan

R package · Sole author & maintainer, 2026

Companion package to The Wreaths of KHAN: FDR-controlled inference on subgraph features and persistent homology generators in Gaussian graphical and Ising models.

github.com/h7nian/Khan

WaTL

R implementation · 2025

Reference implementation of Wasserstein Transfer Learning (NeurIPS 2025), including the simulation and real-data analyses.

github.com/h7nian/WaTL

EnsembleSC

Python implementation · 2025

Reference implementation of Ensemble Selective Classification (under review, NeurIPS 2026).

github.com/h7nian/EnsembleSC

NILE

Python and R implementations · 2025

Natural language processing package for clinical narrative extraction; development guided as a mentor.

Hello, I'm a Researcher

About Me

R

Python

C++

SQL

My Publications

GUALO: A Generalizable Uncertainty-Aware AI Agent for Logic Optimization

Aligning Language Models with Selective Prediction

Predicting the Timing of First Sustained Cognitive Worsening in Alzheimer's Disease Using Real-World Clinical Data and Machine Learning

Antidiabetic Drug Associations With Heart Failure Outcomes: Real-World Evidence Study Using Electronic Health Records

Wasserstein Transfer Learning

Generalized Linear Markov Decision Process

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains

Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

FuseLinker: Leveraging LLM's Pre-trained Text Embeddings and Domain Knowledge to Enhance GNN-based Link Prediction on Biomedical Knowledge Graphs

The Wreaths of Khan: Uniform Graph Feature Selection with False Discovery Rate Control

Generate Analysis-ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records with Advanced Informatic Technologies

A Post-processing Machine Learning for Activity Recognition Challenge with OpenStreetMap Data

Working Papers

Ensemble Selective Classification Under Review

Triply Robust Surrogate Assisted Semi-supervised Estimation of High-dimensional Linear Regression with Missing-at-Random Outcomes In Preparation

Federated Adaptive Causal Estimation with High-Dimensional Covariates (FACE-HD) In Preparation

Supervised Multi-View Representation Learning with Exponential-Family Reconstruction, Feature Selection, and Fairness Assessment In Preparation

IntegMultiReg: An R Package for Integrative Bayesian Multi-Regression of Multi-Platform Biomarkers In Preparation

Presentations

Conference Abstracts

Predicting the Timing of Cognitive Decline in Alzheimer's Disease Using Real-world Clinical Data and Machine Learning (P10-12.009)

Talks

Federated Adaptive Causal Estimation with High-Dimensional Covariates (FACE-HD)

Software

IntegMultiReg

Khan

WaTL

EnsembleSC

NILE

Teaching & Service

Research Mentor — Shuheng Kong & Conglin Ruan

Teaching Assistant, Data Science Practice

Teaching Assistant, Probability Theory

Research Mentor — Brittany Wang

Academic Service

Conference Reviewer

Journal Reviewer

Honors & Awards

1st Place & $3,000 Prize — 7th annual UMN Interdisciplinary Health Data Competition

Dean's PhD Scholars Award

Scholarship for Academic Excellence

Contact Me

Email

GitHub

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