Kai-Chiang Wu

6 papers · 2024–2026 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

ICLR (2) AAAI (1) EMNLP (1) ICML (1) WACV (1)

Top co-authors

Chi-Chih Chang (5) Yu-Fang Hu (3) Hung-Yueh Chiang (3) Diana Marculescu (3) Chong-Yan Chen (2) Ning-Chi Huang (2) Natalia Frumkin (2) Mohamed S. Abdelfattah (2) Pei-Shuo Wang (2) Yu-Chen Lu (2)

Research topics

Artificial Intelligence (5) Machine Learning (5) Core AI (5) Deep Learning (4) Application Areas (4) Architectures (2) Optimization & Theory · Machine Learning (2) Optimization & Theory · Deep Learning (2) Data Science & Analytics (1) Learning Paradigms (1) Methods (1) Techniques (1)

Keywords

model compression (4) state space model (2) inference efficiency (2) low-rank compression (2) text generation (1) neural architecture search (1) efficient computing (1) low-rank approximation (1) parameter efficiency (1) kv cache (1) gpu acceleration (1) supernet training (1) memory reduction (1) hadamard transform (1) flops reduction (1) selective scan (1) activation quantization (1) rank allocation (1) large language model (1) progressive decoding (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 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 FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024