Young D. Kwon

4 papers · 2021–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11)

Venues

AAAI (1) ICML (1) Interspeech (1) NeurIPS (1)

Top co-authors

Cecilia Mascolo (3) Rui Li (2) Jagmohan Chauhan (2) Da Li (1) Ting Dang (1) Alessio Orsino (1) Sijia Li (1) Hong Jia (1) Nicholas Donald Lane (1) Stylianos I. Venieris (1)

Research topics

Machine Learning (4) Application Areas (4) Deep Learning (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

model quantization (2) representation learning (1) catastrophic forgetting (1) knowledge distillation (1) test-time adaptation (1) incremental learning (1) text-to-image generation (1) early exit (1) distribution shift (1) audio classification (1) diffusion model (1) memory efficiency (1) early-exit ensemble (1) edge device (1) memory usage (1) edge computing (1) weight pruning (1) sparse training (1) memory footprint (1) microcontroller unit (1)

Papers

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge ICML 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Interspeech 2021