Shijie Cao
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(7)
Deep Learning
(6)
Optimization & Theory Β· Deep Learning
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(5)
Models
(2)
Optimization & Theory Β· Machine Learning
(2)
Techniques
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Speech & Audio
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Learning Types
(1)
Keywords
model compression
(6)
large language model
(3)
efficient inference
(2)
weight quantization
(2)
knowledge distillation
(2)
inference optimization
(2)
inference acceleration
(2)
gpu computing
(1)
deep learning
(1)
neural network pruning
(1)
edge computing
(1)
deep neural network
(1)
inference efficiency
(1)
edge inference
(1)
convolutional neural network
(1)
gpu acceleration
(1)
low-bit quantization
(1)
hardware acceleration
(1)
sparsity pattern
(1)
sparse model
(1)
Papers
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
ACL 2025
AFPQ: Asymmetric Floating Point Quantization for LLMs
ACL 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
OSDI 2024
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Interspeech 2023
Balanced Sparsity for Efficient DNN Inference on GPU
AAAI 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019