Kai-Chiang Wu
6 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Keyword Champion
(2)
Conferences
ICLR (2)
AAAI (1)
EMNLP (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
low-rank compression
(2)
model compression
(2)
text generation
(1)
neural architecture search
(1)
efficient computing
(1)
low-rank approximation
(1)
inference efficiency
(1)
parameter efficiency
(1)
supernet training
(1)
flops reduction
(1)
rank allocation
(1)
large language model
(1)
progressive decoding
(1)
shared projection
(1)
block skipping
(1)
rank maximization
(1)
vision transformer
(1)
Papers
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
AAAI 2026
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference
EMNLP 2025
Palu: KV-Cache Compression with Low-Rank Projection
ICLR 2025
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
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer
WACV 2024