Publications

Journal articles, conference papers, preprints, and working papers.

My work spans statistical methodology and interdisciplinary applications. Within each section, entries are listed in reverse chronological order.

* Equal contribution.

Preprints and Manuscripts Under Review

  1. HippocamPEX: A Hippocampus-Inspired Mixed-Signal Architecture for Context-Aware Sequence Prediction

    A. Singh, K. W. Cooper, Z. Yang, H. Poursiami, B. S. Kayarabettu, Z. Liang, B. Shahbaba, M. Parsa, N. Fortin, and A. Jaiswal

    Preprint, 2026

  2. SCOPE Before You Sample: Conformal Scores Guide Posterior Exploration for Fast and Calibrated Bayesian Predictive Inference

    Z. Moslemi, Z. Liang, and B. Shahbaba

    Preprint, 2026

    Preprint

  3. ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding

    Z. Liang, H. Poursiami, Z. Yang, K. W. Cooper, A. Jaiswal, M. Parsa, N. Fortin, and B. Shahbaba

    Preprint, 2026

    PreprintCode

  4. Conformal Inference for Open-Set and Imbalanced Classification

    T. Xie, Y. Zhou, Z. Liang, S. Favaro, and M. Sesia

    Preprint, 2025

    Preprint

Journal Articles

  1. Meta Fusion: A Unified Framework for Multimodal Fusion with Adaptive Mutual Learning

    Z. Liang, A. Qu, and B. Shahbaba

    Journal of the Royal Statistical Society: Series B, 2026

    OfficialPreprintCode

  2. Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems

    Z. Liang*, T. Xie*, X. Tong, and M. Sesia

    Journal of the American Statistical Association, 2026

    OfficialPreprintCode

  3. A Locally Adaptive Algorithm for Multiple Testing with Network Structure

    Z. Liang, T. T. Cai, W. Sun, and Y. Xia

    Statistica Sinica, 36, 2026

    OfficialPreprintCode

  4. Integrative Conformal Inference for Out-of-Distribution Testing with Labeled Outliers

    Z. Liang, M. Sesia, and W. Sun

    Journal of the Royal Statistical Society: Series B, 2024

    OfficialPreprintCode

Conference and Workshop Papers

  1. Multi-Graph Meta-Transformer: An Interpretable Framework for Cross-Graph Functional Alignment in Neural Decoding

    Z. Moslemi, Z. Liang, N. Fortin, and B. Shahbaba

    NeurIPS Workshop on AI for Science (AI4Science), 2025, Spotlight

    OfficialPreprint

  2. Conformal Inference Is (Almost) Free for Neural Networks Trained with Early Stopping

    Z. Liang*, Y. Zhou*, and M. Sesia

    International Conference on Machine Learning (ICML), 2023

    OfficialPreprintCode

  3. Thermophysical Change Detection on the Moon with the Lunar Reconnaissance Orbiter Diviner Sensor

    S. Bucci*, J. I. D. Centeno*, B. Gaffinet*, Z. Liang*, V. Bickel, B. Moseley, and M. Olivares-Mendez

    NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022

    Official

Working Papers

  1. Conformal Prediction for Multi-Resolution Time Series with Application to Mobile Health Data

    Z. Liang, X. Cao, W. Guo, and A. Qu

    Working paper

  2. A Brain-Inspired Reinforcement Learning Framework: Sequential Action via Graph-Based Episodic Memory (SAGE)

    Z. Liang, A. Qu, and B. Shahbaba

    Working paper