Selected Research

Selected research in reversed chronological order. Author ordering in most papers is alphabetical as is convention in OR/IE/MS, while exceptions are marked in ^*.

For the full list of my research, please refer to Google Scholar.

• Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
  Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao
  Under revision in Operations Research
  

  Finalist, INFORMS George Nicholson Student Paper Competition 2023

• Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
  Henry Lam, Haofeng Zhang
  Journal of Machine Learning Research (JMLR), 2023
  

  New England Statistics Symposium Student Paper Award 2022

• Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
  

  Previous version: Quantifying Epistemic Uncertainty in Deep Learning

  Ziyi Huang, Henry Lam, Haofeng Zhang
  Advances in Neural Information Processing Systems (NeurIPS), 2023

• Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
  Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
  Advances in Neural Information Processing Systems (NeurIPS), 2023

• Prediction Intervals for Simulation Metamodeling
  

  Conference version: Neural Predictive Intervals for Simulation Metamodeling, Winter Simulation Conference (WSC), 2021

  Henry Lam, Haofeng Zhang
  Under revision in ACM Transactions on Modeling and Computer Simulation (TOMACS)

• Learning Prediction Intervals for Regression: Generalization and Calibration
  Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

Interdisciplinary Work

• Cardiac Adipose Tissue Segmentation via Image-Level Annotations
  Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa Angelini, Christine Hendon ^*
  IEEE Journal of Biomedical and Health Informatics (JBHI), 2023

• Co-Seg: An Image Segmentation Framework against Label Corruption
  Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa Angelini, Christine Hendon, Yu Gan ^*
  IEEE International Symposium on Biomedical Imaging (ISBI), 2021

• Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
  Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa Angelini, Christine Hendon ^*
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020