Ritchie Zhao
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Keywords
model compression
(2)
model architecture
(1)
deep learning
(1)
energy efficiency
(1)
convolutional neural network
(1)
deep neural network
(1)
parameter efficiency
(1)
kv cache compression
(1)
low-precision computation
(1)
model efficiency
(1)
cloud computing
(1)
outlier channel splitting
(1)
execution latency
(1)
hadamard transform
(1)
dynamic quantization
(1)
computational cost reduction
(1)
floating point
(1)
channel shuffling
(1)
two-stage compression
(1)
unitary group convolution
(1)
Papers
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
ICML 2025
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
ICLR 2020
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
NeurIPS 2020
Building Efficient Deep Neural Networks With Unitary Group Convolutions
CVPR 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
ICML 2019