TZstats Lab - Selected Recent Publications

Check out CV or Google Scholar for the full list of publications or our Zotero Libary for previous publications organized by topics.

Owen Ward, Anna Smith, Tian Zheng (2026). Bayesian Modeling for Aggregated Relational Data: A Unified Perspective. Social Networks.

PDF Cite DOI Journal arXiv

Arjun Balaji, Batuhan Duru Yeltekin, Tian Zheng (2026). ForkSCOPE: Charting the Agentic Garden of Forking Paths. arXiv preprint arXiv:2609.12438.

PDF Cite Code DOI arXiv GitHub (TZstats-Columbia)

Tian Zheng (2026). Probing the Stochastic Machine: Engaging with LLMs in Statistics Curricula Through Veridical Data Science. arXiv preprint arXiv:2606.29754.

PDF Cite DOI arXiv

Tian Zheng, Carter K. T. Hsu (2026). Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System. arXiv preprint arXiv:2606.24839.

PDF Cite Code DOI arXiv GitHub (TZstats-Columbia)

Zhewen Hou, Tian Zheng (2026). Target-Aware Linear Regression Under Distribution Shift. arXiv preprint arXiv:2606.22775.

PDF Cite Code DOI arXiv GitHub (TZstats-Columbia)

Tian Zheng, Subashree Venkatasubramanian, Shawn Li, Amy Braverman, Xinyi Ke, Zhewen Hou, Peter Jin, Sammy Agrawal (2026). Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

PDF Cite DOI Journal arXiv

Jerry Lin, Zeyuan Hu, Tom Beucler, Katherine Frields, Hannah Christensen, Walter Hannah, Helge Heuer, Peter Ukkonen, Laura a Mansfield, Tian Zheng (2026). Crowdsourcing the frontier: Advancing hybrid physics-ML climate simulation via a $50,000 Kaggle competition. Journal of Advances in Modeling Earth Systems.

PDF Cite DOI Journal

Ahmed Jaber, Wangshu Zhu, Ayon Roy, Candace M. Agonafir, Linnia Hawkins, Karthick Jayavelu, Justin Downes, Sameer Mohamed, Tian Zheng (2026). AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need. IEEE CAI 2026.

PDF Cite Code Project DOI IEEE Xplore GitHub (TZstats-Columbia) arXiv

Laura E. Boeschoten, Roi Ankori-Karlinsky, Gabriel Arellano, Alyssa J. Brown, Dingyi Fang, Veronika Leitold, Douglas Morton, Gan Yuan, Tian Zheng, Jess K. Zimmerman, Maria Uriarte (2026). Tree growth after a major hurricane reflects predisturbance vigor rather than canopy damage. Proceedings of the National Academy of Sciences.

PDF Cite DOI Journal

Candace M. Agonafir, Tian Zheng (2026). Structured exploration of machine learning model complexity for spatio-temporal forecasting of urban flooding. Urban Water Journal.

PDF Cite DOI Journal SSRN preprint

Tao Han, António Ferraz, Dingyi Fang, Tian Zheng, Roi Ankori-Karlinsky, Gabriel Arellano, Douglas Morton, Jess K. Zimmerman, Michael Keller, Maria Uriarte, Xiangtao Xu (2026). Taller trees experienced less crown damage during a severe hurricane in a tropical forest. Global Change Biology.

PDF Cite DOI Journal

Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian, Peter Jin, Shawn Li, Tian Zheng (2025). Calibrating Geophysical Predictions under Constrained Probabilistic Distributions. arXiv preprint arXiv:2512.03081.

PDF Cite Code DOI arXiv GitHub (TZstats-Columbia)

Julien Collard, Pierre Gentine, Tian Zheng (2025). Power Ensemble Aggregation for Improved Extreme Event AI Prediction. arXiv preprint arXiv:2511.11170.

PDF Cite DOI arXiv

Nabila El-Bassel, James David, Others, Eric Aragundi, More Others, Tian Zheng (2025). The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research. Implementation Science.

PDF Cite Project

Tian Zheng (2025). AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge. arXiv.

PDF Cite DOI arXiv

Nabila El-Bassel, James David, Eric Aragundi, Scott T. Walters, Elwin Wu, Louisa Gilbert, Redonna Chandler, Tim Hunt, Victoria Frye, Aimee N. C. Campbell, Dawn A. Goddard-Erich, Marc Chen, Parixit Davé, Shoshana N. Benjamin, David Lounsbury, Nasim Sabounchi, Maneesha Aggarwal, Dan Feaster, Terry Huang, Tian Zheng (2025). Artificial Intelligence and Stigma in Addiction Research: Insights From the HEALing Communities Study Coalition Meetings. Journal of Addiction Medicine.

PDF Cite DOI Journal

Shawn Li, Tian Zheng, Alban Farchi, Marc Bocquet, Pierre Gentine (2025). Probabilistic data assimilation for ensemble distribution projections with generative machine learning: A Lorenz '96 proof-of-concept. Geophysical Research Letters.

PDF Cite DOI Journal ESSOAr preprint

Roi Ankori-Karlinsky, Tobias D. Jackson, Gan Yuan, Jess K. Zimmerman, Douglas C. Morton, Tian Zheng, Maria Uriarte (2025). Wind acclimation in a subtropical forest: trees on wind-exposed slopes are shorter with smaller crowns. New Phytologist.

PDF Cite DOI Journal

Diane Lu, Chris M. Smith-Martin, Robert Muscarella, Maria Uriarte, Tian Zheng (2025). A spatio-temporal model of embolism propagation in leaf vein networks. AoB Plants.

PDF Cite DOI Journal

Tian Zheng, Katherine Keyes, Shouxuan Ji, Anna Calderon, Elwin Wu, Nathan J. Doogan, Jennifer Villani, Redonna Chandler, Joshua A. Barocas, Trang Nguyen, Nabila El-Bassel, Daniel J. Feaster (2025). Opioid use disorder prevalence in 57 New York counties from 2017 to 2019: A Bayesian evidence synthesis. Drug and Alcohol Dependence.

PDF Cite DOI Journal

Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Others, Tian Zheng, More Others, Michael Pritchard (2025). ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation. Journal of Machine Learning Research.

PDF Cite Code Journal arXiv

Shawn Li, Yongquan Qu, Tian Zheng, Pierre Gentine (2024). Machine-assisted physical closure for coarse suspended sediments in vegetated turbulent channel flows. Geophysical Research Letters.

PDF Cite DOI Journal

Siyeon Kim, Juan Nathaniel, Zhewen Hou, Tian Zheng, Pierre Gentine (2024). Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning. Scientific Data.

PDF Cite DOI Journal

Chenyang Zhong, Shouxuan Ji, Tian Zheng (2024). Graph-Enabled Efficient Federated Bayesian Modeling. arXiv preprint arXiv:2408.02122.

PDF Cite DOI arXiv

Timothy Jones, Owen Ward, Yiran Jiang, John Paisley, Tian Zheng (2024). Scalable Community Detection in Massive Networks Using Aggregated Relational Data. Statistical Sinica.

Cite DOI arXiv

Chengliang Tang, Nathan Lenssen, Ying Wei, Tian Zheng (2024). Wasserstein Distributional Learning via Majorization-Minimization. AISTATS 2023.

PDF Cite Code GitHub (TZstats-Columbia)

Sungduk Yu, Others, Tian Zheng, More Others, Mike Pritchard (2024). ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. NeurIPS 2023.

PDF Cite Code Dataset Project Poster

Tamara Broderick, Andrew Gelman, Rachael Meager, Anna Smith, Tian Zheng (2023). Toward a Taxonomy of Trust for Probabilistic Machine Learning. Science Advances.

PDF Cite DOI Journal arXiv

Anna Smith, Tian Zheng, Andrew Gelman (2023). Prediction scoring of data-driven discoveries for reproducible research. Statistics and Computing.

PDF Cite DOI Journal

Owen Ward, Jing Wu, Tian Zheng, Anna Smith, James P. Curley (2022). Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions. Journal of the Royal Statistical Society Series C: Applied Statistics.

Cite DOI URL

Owen Ward, Zhen Huang, Andrew Davison, Tian Zheng (2021). Next Waves in Veridical Network Embedding. Statistical Analysis and Data Mining: The ASA Data Science Journal.

Cite DOI arxiv

Chengliang Tang, Maria Uriarte, Helen Jin, Douglas C. Morton, Tian Zheng (2021). Large-scale, image-based tree species mapping in a tropical forest using artificial perceptual learning. Methods in Ecology and Evolution.

PDF Cite Code DOI Journal arXiv GitHub (TZstats-Columbia)

Jing Wu, Anna Smith, Tian Zheng (2020). Diagnostics and Visualization of Point Process Models for Event Times on a Social Network. Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools, Volume 7.

Cite DOI arxiv

Yuting Ma, Tian Zheng (2017). Stabilized Sparse Online Learning for Sparse Data. Journal of Machine Learning Research.

Cite Code DOI GitHub URL

Lu Meng, Tian Zheng (2016). Phase-Aligned Spectral Filtering for Decomposing Spatiotemporal Dynamics. arXiv.

Cite DOI arXiv

Yuting Ma, Tian Zheng (2016). Boosted sparse nonlinear distance metric learning. Statistical Analysis and Data Mining: The ASA Data Science Journal.

PDF Cite Code DOI Journal arXiv GitHub (TZstats-Columbia)

Herman Chernoff, Shaw-Hwa Lo, Tian Zheng (2009). Discovering influential variables: A method of partitions. The Annals of Applied Statistics.

Cite DOI URL