TensorKDD Workshop at KDD 2026

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vagelis.p...@gmail.com

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📢 Excited to share that the 1st TensorKDD Workshop at KDD 2026 is now accepting submissions!

🎁 Tensor methods are having a moment — from multi-dimensional data analysis to enabling parsimonious and trustworthy learning in the era of foundation models. We bring together a diverse community of researchers working on tensors — from decomposition models, algorithms, to applications across models, data, and beyond.

🔎 We welcome work on, but not limited to:
- Tensor decomposition methods and tensor-based representation learning
- Tensor-based model compression & efficient LLMs
- Integration of tensor methods with foundation models
- Interpretability, robustness & trustworthiness of tensor structures
- Any other topics involving tensor methods
We’d love to see your work!

You can find more information here: https://tensorkddworkshop.github.io/

📄 You can submit any unpublished or under-submission work, as well as recently published papers. All accepted papers will be presented as posters, with select papers chosen for oral presentations.

⌛️ Submission Deadline: April 30, 2026

🔗 Submit here: https://openreview.net/group?id=KDD.org/2026/Workshop/TensorKDD

🗓️ Workshop Date & location: August 9-10, 2026, Jeju, Korea

👥 Organizers: Dawon Ahn (UCR), Taehyung Kwon (KAIST), Yong-chan Park (SNU), Jun-Gi Jang (DGIST), Kijung Shin (KAIST), U Kang (SNU), Evangelos (Vagelis) Papalexakis (UCR)

✉️ Contact: tensorkd...@gmail.com

See you in Jeju! 🇰🇷 🍊
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