Preprint

• Integrating Textual Embeddings from Contrastive Learning with Generative Recommender for Enhanced Personalization
  Y. Liu.
  arXiv, 2025 [pdf][code]

• Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation
  Y. Liu, J. Li, J.L. Wisnowski, R.M. Leahy.
  bioRxiv, 2025 [project page][pdf][atlas][code]

Conference presentation / Extended abstract / Proceeding

• sEEG-based Encoding for Sentence Retrieval: A Contrastive Learning Approach to Brain-Language Alignment
  Y. Liu.
  Workshop on What is Next in Multimodal Foundation Models, CVPR 2025 [pdf]

• Cortical parcellation with graph representation learning on resting-state fMRI
  Y. Liu, J. Li, J.L. Wisnowski, R.M. Leahy.
  Workshop on Data Mining in Bioinformatics, KDD 2023 [slides]

• Brain Network Decomposition for Naturalistic Stimulus Paradigm
  Y. Liu, J. Li, J.L. Wisnowski, A.A. Joshi, R.M. Leahy.
  Organization for Human Brain Mapping Annual Meeting (OHBM), 2021 [pdf] [poster]

• Pancreas segmentation in abdominal CT scans
  Y. Liu, S. Liu.
  International Symposium on Biomedical Imaging (ISBI), 2018 [pdf] [code] [poster]

• Log-periodic antenna with interdigital structure for energy harvesting from TV broadcast tower
  Y. Liu, X. Liu, X. Yang, D. Xie.
  Asia-Pacific Microwave Conference (APMC), 2015 [pdf][slides]

Journal

• Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain
  J. Li, Y. Liu, J.L. Wisnowski, R.M. Leahy.
  Neuroimage, 2023 [pdf]

• A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI
  A.A. Joshi, S. Choi, Y. Liu, M. Chong, G. Sonkar, J. Gonzalez-Martinez, D. Nair, J.L. Wisnowski, J.P. Haldar, D.W. Shattuck, H. Damasio, R.M. Leahy.
  Journal of neuroscience methods, 2022 [pdf]