Hung-Yueh Chiang
5 papers · 2023–2026 · 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🏆
Grand Slam
Venues
Top co-authors
Research topics
Keywords
model compression
(3)
state space model
(2)
post-training quantization
(1)
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)
memory reduction
(1)
hadamard transform
(1)
selective scan
(1)
activation quantization
(1)
large language model
(1)
low-rank compression
(1)
inverted residual block
(1)
shared projection
(1)
Papers
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
AAAI 2026
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
ICML 2025
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
ICLR 2025
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
NeurIPS 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks
AAAI 2023