Graduate Works

Statistical Learning and Decision-Making

• Personalized Multimodal Learning via Supervised Similarity. J. Shang, E. Craig, R. Tibshirani, 2026. [software]

• Learning to Price Electricity for Optimal Demand Response. J. Shang, X. Zhou, M. Mehrabi, M. Saleh, A. Bernstein, S. Wager, 2025. Invited talk at INFORMS Annual 2025. [software]

Statistical Methodology and Inference

• Lassoed Forests: Random Forests with Adaptive Lasso Post-selection. J. Shang, J. Bannon, B. Haibe-Kains, R. Tibshirani, 2025. [arXiv]

• Pre-validation Revisited. J. Shang, S. Chatterjee, T. Hastie, R. Tibshirani, 2025. [arXiv]

Undergraduate Works

Forestry Data Science

• Comparison Study of the Generalized Multivariate Difference Estimator and the Generalized Regression Estimator. J. Shang*, A. Chilambo*, and K. McConville, 2022. [eUSR]

• A Study on Variance Estimators and Grading System for Estimation Quality of Carbon Amount. J. Shang*, J. Yamamoto*, and K. McConville, 2022. [demo]