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Home/Authors/Zhenglun Kong

Zhenglun Kong

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, 9:33 AM AMS

10

papers

290

total citations

papers (10)

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

NEURIPS 2021arXiv

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

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

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training

NEURIPS 2022arXiv

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

Sparse Learning for State Space Models on Mobile

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

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding

HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception