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Baoting Li
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 11
Top Topics
Low Rank Subspace
Binary Matrices
Influence Maximization
Training Process
Top Venues
IEEE Trans. Circuits Syst. I Regul. Pap.
ADMA (4)
ASP-DAC
DSL
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Publications
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Danqing Zhang
,
Baoting Li
,
Hang Wang
,
Xuchong Zhang
,
Hongbin Sun
An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator.
ISCAS
(2024)
Baoting Li
,
Danqing Zhang
,
Pengfei Zhao
,
Hang Wang
,
Xuchong Zhang
,
Hongbin Sun
,
Nanning Zheng
DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN.
IEEE Trans. Circuits Syst. I Regul. Pap.
71 (4) (2024)
Qinghua Zhou
,
Wenjun Tan
,
Qingya Li
,
Baoting Li
,
Luyu Zhou
,
Xin Liu
,
Jinzhu Yang
,
Dazhe Zhao
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst.
11 (1) (2023)
Yiwen Liu
,
Tao Wen
,
Tongze Xu
,
Baoting Li
,
Wei Sun
,
Zhenning Wu
Multi-region Quality Assessment Based on Spatial-Temporal Community Detection from Computed Tomography Images.
ADMA (4)
(2023)
Baoting Li
,
Hang Wang
,
Fujie Luo
,
Xuchong Zhang
,
Hongbin Sun
,
Nanning Zheng
ACBN: Approximate Calculated Batch Normalization for Efficient DNN On-Device Training Processor.
IEEE Trans. Very Large Scale Integr. Syst.
31 (6) (2023)
Jinyi Chen
,
Junchang Xin
,
Shengnan Lei
,
Keqi Zhou
,
Baoting Li
,
Zhiqiong Wang
Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model.
APWeb/WAIM (4)
(2023)
Liang Wen
,
Zhiqiong Wang
,
Tingyu Cui
,
Caiyun Shi
,
Baoting Li
,
Zhongming Yao
A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding.
ADMA (4)
(2023)
Baoting Li
,
Hang Wang
,
Xuchong Zhang
,
Jie Ren
,
Longjun Liu
,
Hongbin Sun
,
Nanning Zheng
Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration.
IEEE Trans. Circuits Syst. I Regul. Pap.
68 (8) (2021)
Shaofei Yang
,
Longjun Liu
,
Baoting Li
,
Hongbin Sun
,
Nanning Zheng
Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators.
AICAS
(2020)
Baoting Li
,
Longjun Liu
,
Yanming Jin
,
Peng Gao
,
Hongbin Sun
,
Nanning Zheng
Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator.
ASP-DAC
(2020)
Baoting Li
,
Longjun Liu
,
Jiahua Liang
,
Hongbin Sun
,
Li Geng
,
Nanning Zheng
Exploring Resource-Aware Deep Neural Network Accelerator and Architecture Design.
DSL
(2018)