Wei Niu
30 papers · 2020–2025 · 8 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 (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(22)
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Dynamic Duo
(23)
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Topic Evolution
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Keyword Champion
(7)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(109)
Top co-authors
Research topics
Machine Learning
(25)
Application Areas
(24)
Deep Learning
(20)
Optimization & Theory Β· Deep Learning
(16)
Computer Vision
(15)
Artificial Intelligence
(8)
Analysis
(8)
Core AI Β· Artificial Intelligence
(7)
Optimization & Theory Β· Machine Learning
(7)
Techniques
(7)
Architectures
(6)
Processing
(5)
Core AI Β· Computer Vision
(4)
Natural Language Processing
(2)
Learning Paradigms
(2)
Keywords
model compression
(19)
edge computing
(7)
mobile inference
(7)
real-time inference
(7)
neural network optimization
(6)
neural network pruning
(6)
efficient computing
(5)
compiler optimization
(5)
mobile deployment
(4)
vision transformer
(4)
model pruning
(4)
structured pruning
(4)
neural architecture search
(4)
weight pruning
(3)
object detection
(2)
sparse training
(2)
model acceleration
(2)
state space model
(2)
deep neural network
(2)
semantic segmentation
(2)
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
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
NAACL 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
CVPR 2025
Sparse Learning for State Space Models on Mobile
ICLR 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
ECCV 2024
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NeurIPS 2024
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
ICLR 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
NeurIPS 2024
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
CVPR 2023
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
CVPR 2023
Towards Real-Time Segmentation on the Edge
AAAI 2023
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution
ECCV 2022
Real-Time Portrait Stylization on the Edge
IJCAI 2022
SparCL: Sparse Continual Learning on the Edge
NeurIPS 2022
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
ICCV 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices
AAAI 2021
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NeurIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
AAAI 2021
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
IJCAI 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
AAAI 2021
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCV 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices
AAAI 2020
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
IJCAI 2020