About Me
I am a PhD student in Computer Science & Engineering at UC Riverside, advised by Prof. Vagelis Papalexakis. My research lies at the intersection of tensor methods and deep learning–designing trustworthy yet expressive tensor models, and applying them to modern neural architectures to enhance computational efficiency.
Education
  • Ph.D. in Computer Science, University of California, Riverside
    Riverside, USA, Sep. 2021 - present
  • B.S in Mathematics, Chonnam National University
    Gwangju, South Korea, Feb. 2014 - Jun. 2019
Publications
  • Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
    Dawon Ahn*, Jun-Gi Jang*, and Evangelos E. Papalexakis (*Equal contribution)
    PAKDD 2025 [paper|code]
  • TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
    Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, and Evangelos E. Papalexakis
    PAKDD 2025 [paper|code]
  • Automating Data Science Pipelines with Tensor Completion
    Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis Tsotras, Jia Chen, and Evangelos E. Papalexakis
    BigData 2024 [paper|code]
  • Neural Additive Tensor Decomposition for Sparse Tensors
    Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, and Ali Payani
    CIKM 2024 [paper|code]
  • Compact Interpretable Tensor Graph Multi-Modal News Embeddings
    Dawon Ahn, William Shiao, Arindam Khaled, Andrew Bauer, Stefanos Poulis, and Evangelos E. Papalexakis
    TheWebConf 2024 (Short) [paper|code]
  • Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
    Dawon Ahn, Seyun Kim, and U Kang
    CIKM 2021 (Short) [paper|code]
  • Time-Aware Tensor Decomposition for Missing Entry Prediction
    Dawon Ahn, Jun-Gi Jang, and U Kang
    Machine Learning 2021 [paper|code|blog (KR)]
  • Gtensor: Fast and Accurate Tensor Analysis System using GPUs
    Dawon Ahn, Sangjun Son, and U Kang
    CIKM 2020 (Demo) [paper|code]
Research Experience
  • Research Intern (Mentors: Uday Singh Saini and Michael Yeh )
    Visa Research
    Foster City, CA, USA, June 2025 - Sep. 2025
  • Research Intern (Mentor: Ali Payani)
    Cisco Systems Inc.
    San Jose, CA (Remote), June 2023 - Sep. 2023
  • Research Assistant (Advisor: Evangelos E. Papalexakis)
    Multi-Aspect Data Lab
    Riverside, CA, USA, Sep. 2021 - Present
  • Research Intern (Advisor: U Kang)
    Data Mining Laboratory at SNU
    Seoul, South Korea, Jan. 2019 - Jun. 2021