JINGYANG XIANG

4 papers · 2023–2024 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

CVPR (1) ECCV (1) EMNLP (1) NeurIPS (1)

Top co-authors

Yong Liu (4) Siqi Li (4) Jun Chen (2) Shipeng Bai (1) Zuohui Chen (1) Ning Jiang (1) Tianxin Huang (1) Yukai Ma (1) Guang Dai (1) Linpeng Peng (1)

Research topics

Deep Learning (3) Machine Learning (3) Optimization & Theory · Deep Learning (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Optimization & Theory · Machine Learning (2) Computer Vision (1) Analysis (1) Architectures (1) Models (1) Techniques (1)

Keywords

model compression (3) neural network optimization (2) neural network pruning (2) network pruning (1) efficient inference (1) model pruning (1) structured sparsity (1) weight pruning (1) sparse training (1) parameter efficiency (1) structured pruning (1) sparse network (1) network sparsity (1) sparse convolutional neural network (1) large language model (1) block pruning (1) weight importance (1) soft mask (1) neural network acceleration (1) n:m sparsity (1)

Papers

MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks ECCV 2024 Structured Optimal Brain Pruning for Large Language Models EMNLP 2024 SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration NeurIPS 2023