李宝婷西安交通大学教师主页管理系统 ACBN: Approximate calculated batch normalization for efficient DNN on-device training orocessor Home

李宝婷

Basic Information

李宝婷

Gender: Female

Professional Title: Assistant Professor

Education Level: With Certificate of Graduation for Doctorate Study

Degree: Doctor

School/Department: 人工智能学院

E-Mail:

Business Address: 曲江校区西一楼433室

Discipline: Control Science and Engineering

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Papers

DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN

Release Time:2025-11-23

DOI Number:: 10.1109/TCSI.2024.3364093

Title of Paper:: DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN

Journal:: IEEE Transactions on Circuits and Systems I: Regular Papers

ISSN:: 1549-8328

Translation or Not:: No

Included Journals:: EI/MI、SCI

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