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Home/Authors/Wei Niu

Wei Niu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:44 AM AMS

15

papers

449

total citations

papers (15)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

NEURIPS 2021arXiv

SparCL: Sparse Continual Learning on the Edge

NEURIPS 2022arXiv

Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

GaussianSpa: An “Optimizing-Sparsifying” Simplification Framework for Compact and High-Quality 3D Gaussian Splatting

Sparse Learning for State Space Models on Mobile

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning

Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge