Baoting Li

According to our database, Baoting Li authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Baoting Li, Danqing Zhang, Pengfei Zhao, Hang Wang, Xuchong Zhang, Hongbin Sun, Nanning Zheng

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator.

Danqing Zhang, Baoting Li, Hang Wang, Xuchong Zhang, Hongbin Sun

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

A new segment method for pulmonary artery and vein.

Qinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao

Health Inf. Sci. Syst., December, 2023

ACBN: Approximate Calculated Batch Normalization for Efficient DNN On-Device Training Processor.

Baoting Li, Hang Wang, Fujie Luo, Xuchong Zhang, Hongbin Sun, Nanning Zheng

IEEE Trans. Very Large Scale Integr. Syst., June, 2023

Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model.

Jinyi Chen, Junchang Xin, Shengnan Lei, Keqi Zhou, Baoting Li, Zhiqiong Wang

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding.

Liang Wen, Zhiqiong Wang, Tingyu Cui, Caiyun Shi, Baoting Li, Zhongming Yao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Multi-region Quality Assessment Based on Spatial-Temporal Community Detection from Computed Tomography Images.

Yiwen Liu, Tao Wen, Tongze Xu, Baoting Li, Wei Sun, Zhenning Wu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021

Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration.

Baoting Li, Hang Wang, Xuchong Zhang, Jie Ren, Longjun Liu, Hongbin Sun, Nanning Zheng

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

2020

Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator.

Baoting Li, Longjun Liu, Yanming Jin, Peng Gao, Hongbin Sun, Nanning Zheng

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators.

Shaofei Yang, Longjun Liu, Baoting Li, Hongbin Sun, Nanning Zheng

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2018

Exploring Resource-Aware Deep Neural Network Accelerator and Architecture Design.

Baoting Li, Longjun Liu, Jiahua Liang, Hongbin Sun, Li Geng, Nanning Zheng

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018