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Yujie Wang

Yujie Wang Assistant Professor | Computer Science


ywang3@linfield.edu

Yujie Wang is an assistant professor of computer science whose work bridges mathematics, statistics and machine learning. She earned her Ph.D. in mathematics from Claremont Graduate University and an M.S. in statistics from Florida State University. Her research focuses on statistical learning theory, natural language processing and the development of principled machine learning methods with theoretical guarantees. She has published in both top-tier computer science conferences and mathematical journals, with work spanning algorithm design, optimization and real-world data applications.

Yujie has extensive teaching experience across liberal arts colleges and adult-learning institutions, and she is deeply committed to inclusive, student-centered pedagogy. Her courses emphasize conceptual understanding, hands-on programming and connections between theory and practice. As a first-generation scholar, she is particularly dedicated to mentoring students from diverse backgrounds and supporting pathways into data science and computer science research.

Education

  • Ph.D. in Mathematics, Claremont Graduate University
    • Focus on NLP, AI, and statistical learning theory
  • M.S. in Statistics, Florida State University
    • Strong grounding in statistical inference, modeling, and applied statistics.
  • B.D. in Applied Statistics, Jiangsu Normal University

Publications

Yujie Wang, Mike Izbicki [EMNLP2023]

DOCSPLIT: Simple Contrastive Pretraining for Large Document Embeddings

The 2023 Conference on Empirical Methods in Natural Language Processing, pp. 14190-14196

Findings of the Association for Computational Linguistics (ACL), 2023

 

Yujie Wang, Mike Izbicki [AISTATS2022]

The Tree Loss: Improving Generalization with Many Classes

International Conference on Artificial Intelligence and Statistics, pp. 6121-6133.

Proceedings of Machine Learning Research (PMLR), 2022

 

Victoria Lloyd, Sarah Lu, Jorge Peña, Allon Percus, Yujie Wang, Rory Zhao, Thomas James Hardin, Mark Wilson

Using Machine Learning Approaches to Predict Atomic-Scale Glass Failure in Environmental Conditions

Sandia National Lab.(SNL-NM), Albuquerque, NM (United States)

SAND2021-3233C

 

Jiacheng Li, Yujie Wang, Julian McAuley [WSDM2020]

Time Interval Aware Self-Attention for Sequential Recommendation

In Proceedings of the 13th international conference on web search and data mining, pp. 322-330

The Association for Computing Machinery (ACM), 2020

 

Work in Progress

Qidi Peng, Nan Rao, Yujie Wang

On the Identifications of the Maximum Absolute Value of Strictly α-stable Variables and the Small Increments of Linear Fractional Stable Sheets

Submitted to Bernoulli Society for Mathematical Statistics and Probability 2024