Hung-Yueh Chiang
5 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Grand Slam
Conferences
AAAI (2)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
model compression
(2)
vision transformer
(1)
transfer learning
(1)
model adaptation
(1)
low-rank approximation
(1)
memory efficiency
(1)
low-rank adaptation
(1)
edge computing
(1)
matrix multiplication
(1)
mobile computing
(1)
large language model
(1)
low-rank compression
(1)
inverted residual block
(1)
shared projection
(1)
block skipping
(1)
rank maximization
(1)
Papers
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
AAAI 2026
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
ICLR 2025
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
ICML 2025
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
NIPS 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks
AAAI 2023