Miao Yin
15 papers · 2021–2025 · 5 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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πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π¬ Deep Specialist (10)
π€
Dynamic Duo
(12)
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(83)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(11)
Application Areas
(11)
Optimization & Theory Β· Deep Learning
(10)
Artificial Intelligence
(9)
Core AI Β· Artificial Intelligence
(9)
Architectures
(8)
Computer Vision
(6)
Optimization & Theory Β· Machine Learning
(5)
Techniques
(4)
Analysis
(3)
Core AI Β· Computer Vision
(3)
Core Methods
(2)
Learning Types
(2)
Processing
(2)
Keywords
model compression
(11)
neural network
(5)
model pruning
(3)
vision transformer
(3)
neural network optimization
(3)
efficient computing
(2)
convolutional neural network
(2)
flops reduction
(2)
parameter efficiency
(2)
tensor decomposition
(2)
structured pruning
(2)
recurrent neural network
(2)
low-rank decomposition
(1)
video recognition
(1)
gaussian splatting
(1)
adversarial robustness
(1)
neural network compression
(1)
video understanding
(1)
sparse model
(1)
multimodal learning
(1)
Papers
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction
CVPR 2025
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting
CVPR 2025
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
EMNLP 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
NeurIPS 2024
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
ICML 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
NeurIPS 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
AAAI 2023
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
AAAI 2022
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks
CVPR 2022
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
NeurIPS 2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
AAAI 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework
CVPR 2021
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure
CVPR 2021