ABOUT ME

I am Lingyi Xu (Pron. LIN-YEE HSU), a PhD student in Computing & Data Sciences at Boston University, where I am fortunate to be advised by Prof. Vijaya B. Kolachalama and Prof. Jennifer Beane. I seek to address the challenge of modality missingness in multimodal learning across visual, tabular, and textual data. My work spans graph neural networks (GNNs), vision transformers (ViTs), large language models (LLMs), and vision-language models (VLMs).

I am co-running the CDS PhD Student Seminar Series that meets bi-weekly on Fridays. Feel free to ping me if you are interested in giving a talk!

Email: lingyixu at bu dot edu

EDUCATION

• Ph.D. in Computing & Data Sciences, 2022 - Present
  Boston University

• M.S. in Mathematical Finance, High Honors, 2020
  Boston University

• B.S. in Finance, Honors, 2018
  Zhejiang University, Chu Kochen Honors College

RESEARCH

• Attention-based Deep Learning for Analysis of Pathology Images and Gene Expression Data in Lung Squamous Premalignant Lesions
  Lingyi Xu, …, Vijaya B. Kolachalama, Jennifer E. Beane
  Under review [medRxiv]

• Pick the Right Tactics When Online Sales Go Live: An Empirical Analysis of Livestreaming for Amazon Sellers
  Lingyi Xu, Abraham Seidmann, Mohammad Soltanieh-ha
  HICSS 2023 [URI] [pdf]

• Forecasting U.S. GDP: Can Deep Learning Beat the Wisdom of the Crowd?
  Marialuz Moreno Badia, Lingyi Xu, Mohammad Soltanieh-ha
  Joint research with IMF, 2021

FELLOWSHIPS & AWARDS

• Evans Day Research Award, Department of Medicine
  Boston University Chobanian & Avedisian School of Medicine, 2024

• BU Women’s Guild Scholarship
  Boston University, 2024

• Graduate Student Fellow, Rafik B. Hariri Institute for Computing and Computational Science & Engineering
  Boston University, 2022

• BU Student Employee of the Year (Nominated)
  Boston University, 2020 & 2021

TEACHING

Teaching Assistant:

• DS 121, Foundations of Data Science II, Spring 2025
• IS 843, Big Data Analytics, Spring 2022
• IS 717, IT Applications in Management, Spring 2021 & Spring 2020
• BA 770/775, Cloud Computing and Databases, Fall 2020 & Summer 2019
• BA 780, Intro to Data Analytics, Fall 2020
• IS 756, Digital Project Construction, Summer 2020