Haesun Park
Stephen Flemming Professor, Regents' Professor and Chair, School of Computational Science and Engineering
Develops numerical methods such as nonnegative matrix factorization for text mining and visual analytics.
Haesun Park's lab at Georgia Tech works on visualization & visual analytics. 9 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 2 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- matrix2 papers
- Visualization & visual analytics1 paper
- visual analytics1 paper
- develops numerical0 papers
- numerical methods0 papers
Paper list
From the lab homepage.
20253 papers
- —Effective co-embedding of multi-type data via integrated symmetric nonnegative
- IEEE International Conference on Big Data (IEEE BigData25), Macau, China, December 8-11Fast active-set thresholding method for nonnegative least squares
- SIAM Journal on Matrix Analysis and Applications, 46-1Randomized algorithms for symmetric nonnegative matrix factorization
20242 papers
- IEEE International Conference on Big Data (IEEE BigData24), Washington DC, December 15-18Clustering and topic discovry of multiway data via Joint-NCMTF
- IEEE International Conference on Big Data (IEEE BigData24), Washington DC, December 15-18On rank selection for nonnegative matrix factorization
20234 papers
- IEEE International Conference on Information Fusion, Charleston, SC, June 27-30Co-embedding multi-type data for information fusion and visual analytics
- ACM International Conference on Supercomputing (ACM ICS23), Orlando, FL, June 21-23Distributed-memory Parallel JointNMF
- ACM International Conference on Information and Knowledge Management (CIKM23), Birmingham, UK, October 21-25Patient clustering via integrated profiling of clinical and digital data
- 15-18WellFactor: Patient profiling using integrative embedding of healthcare data
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
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Data
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