We stand with Ukraine

We stand with Ukraine

Chaewon Kim

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Predicting condition-aware drug-induced transcriptional responses via a latent diffusion model.

[DOI]

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Bioinform., 2026

2025

MatteViT: High-Frequency-Aware Document Shadow Removal with Shadow Matte Guidance.

[DOI]

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CoRR, December, 2025

Refining Visual Artifacts in Diffusion Models via Explainable AI-based Flaw Activation Maps.

[DOI]

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CoRR, December, 2025

Investigating the impact of AR technologies on geometric learning in primary school: A comparison between marker-based and markerless AR.

[DOI]

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K. Bret Staudt Willet

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Br. J. Educ. Technol., November, 2025

FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration.

[DOI]

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CoRR, January, 2025

WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement.

[DOI]

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Gyeong-Moon Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SnuSOLVER: Optimizing Sparse Direct Solvers for Heterogeneous Systems.

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Proceedings of the 39th ACM International Conference on Supercomputing, 2025

LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data.

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Proceedings of the 18th International Conference on Educational Data Mining, 2025

Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners' Navigation Patterns in MOOCs.

[DOI]

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Proceedings of the 18th International Conference on Educational Data Mining, 2025

NTIRE 2025 Image Shadow Removal Challenge Report.

[DOI]

Florin-Alexandru Vasluianu

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Seyed Amirreza Mousavi

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Vijayalaxmi Ashok Aralikatti

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G. Gyaneshwar Rao

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Nikhil Akalwadi

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Ramesh Ashok Tabib

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Alexandru Brateanu

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Tanmay Chaturvedi

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Anmol Srivastav

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Shashwat Thakur

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Shashank Shekhar

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

From Code to Insight: How LLMs Help and Hinder Qualitative Research.

[DOI]

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Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Intent-Based vs. LLM-Based Chatbots in MOOCs: Do Diverse Students Experience Them Differently?

[DOI]

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Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Incorporating General Contact Surfaces in the Kinematics of Tendon-Driven Rolling-Contact Joint Mechanisms.

[DOI]

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CoRR, 2024

RADIO: Reference-Agnostic Dubbing Video Synthesis.

[DOI]

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Gyeong-Moon Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

"Enjoy, but Moderately!": Designing a Social Companion Robot for Social Engagement and Behavior Moderation in Solitary Drinking Context.

[DOI]

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Proc. ACM Hum. Comput. Interact., 2023

2022

A Compact and Agile Angled-Spoke Wheel-Based Mobile Robot for Uneven and Granular Terrains.

[DOI]

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IEEE Robotics Autom. Lett., 2022

WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details.

[DOI]

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Gyeong-Moon Park

CoRR, 2022

Zero-shot Blind Image Denoising via Implicit Neural Representations.

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CoRR, 2022

2021

Random Features for the Neural Tangent Kernel.

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CoRR, 2021

Scaling Neural Tangent Kernels via Sketching and Random Features.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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