About Me
I am a CS PhD student at UC Riverside, advised by Prof. Vagelis Papalexakis.
I received a B.S in Mathematics at Chonnam National University.
My research interests focus on Tensor Mining and Machine Learning.
Education
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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
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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
Arxiv [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 [paper|code] -
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
Dawon Ahn, Seyun Kim, and U Kang
CIKM 2021 [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
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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
Industry Experience
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Research Intern (Mentor: Ali Payani)
Cisco Systems Inc.
CA, June. 2023 - Sep. 2023 -
Data Science Intern
DT Lab, HANA Financial Group
Seoul, South Korea, Sep. 2018 - Dec. 2018
Teaching
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T.A - Deep Learning (Time-series Forecasting)
SK-hynix (2020), LG Chemical (2021), LG DS (2021)