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Baoting Li
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2020 – today
- 2024
- [j4]Baoting Li
, Danqing Zhang, Pengfei Zhao, Hang Wang
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): 1665-1678 (2024) - [c7]Danqing Zhang, Baoting Li, Hang Wang, Xuchong Zhang, Hongbin Sun:
An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator. ISCAS 2024: 1-5 - 2023
- [j3]Qinghua Zhou
A new segment method for pulmonary artery and vein. Health Inf. Sci. Syst. 11(1): 47 (2023) - [j2]Baoting Li, Hang Wang
ACBN: Approximate Calculated Batch Normalization for Efficient DNN On-Device Training Processor. IEEE Trans. Very Large Scale Integr. Syst. 31(6): 738-748 (2023) - [c6]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: 620-632 - [c5]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: 681-693 - [c4]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: 451-466 - 2021
- [j1]Baoting Li, Hang Wang, Xuchong Zhang
Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration. IEEE Trans. Circuits Syst. I Regul. Pap. 68(8): 3279-3292 (2021) - 2020
- [c3]Shaofei Yang, Longjun Liu
Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators. AICAS 2020: 315-319 - [c2]Baoting Li, Longjun Liu
Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator. ASP-DAC 2020: 289-294
2010 – 2019
- 2018
- [c1]Baoting Li, Longjun Liu
Exploring Resource-Aware Deep Neural Network Accelerator and Architecture Design. DSP 2018: 1-5
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