Baoting Li

13 papers C 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization.
CoRR
Chenwei Jia, Baoting Li, Xuchong Zhang, Mingzhuo Wei, Bochen Lin, Hongbin Sun
2025 J jnl
Integrating models of real aboveground scene and underground geological structures at an open pit mine.
Virtual Real. Intell. Hardw.
Biao Dong, Wenjun Tan, Weichao Chang, Baoting Li, Yanliang Guo, Quanxing Hu, Guangwei Liu
2024 C conf
An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator.
ISCAS
Danqing Zhang, Baoting Li, Hang Wang, Xuchong Zhang, Hongbin Sun
2024 J jnl
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.
Baoting Li, Danqing Zhang, Pengfei Zhao, Hang Wang, Xuchong Zhang, Hongbin Sun, Nanning Zheng
2023 — conf
A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding.
ADMA (4)
Liang Wen, Zhiqiong Wang, Tingyu Cui, Caiyun Shi, Baoting Li, Zhongming Yao
2023 J jnl
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst.
Qinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao
2023 J jnl
ACBN: Approximate Calculated Batch Normalization for Efficient DNN On-Device Training Processor.
IEEE Trans. Very Large Scale Integr. Syst.
Baoting Li, Hang Wang, Fujie Luo, Xuchong Zhang, Hongbin Sun, Nanning Zheng
2023 — conf
Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model.
APWeb/WAIM (4)
Jinyi Chen, Junchang Xin, Shengnan Lei, Keqi Zhou, Baoting Li, Zhiqiong Wang
2023 — conf
Multi-region Quality Assessment Based on Spatial-Temporal Community Detection from Computed Tomography Images.
ADMA (4)
Yiwen Liu, Tao Wen, Tongze Xu, Baoting Li, Wei Sun, Zhenning Wu
2021 J jnl
Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration.
IEEE Trans. Circuits Syst. I Regul. Pap.
Baoting Li, Hang Wang, Xuchong Zhang, Jie Ren, Longjun Liu, Hongbin Sun, Nanning Zheng
2020 — conf
Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator.
ASP-DAC
Baoting Li, Longjun Liu, Yanming Jin, Peng Gao, Hongbin Sun, Nanning Zheng
2020 — conf
Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators.
AICAS
Shaofei Yang, Longjun Liu, Baoting Li, Hongbin Sun, Nanning Zheng
2018 — conf
Exploring Resource-Aware Deep Neural Network Accelerator and Architecture Design.
DSP
Baoting Li, Longjun Liu, Jiahua Liang, Hongbin Sun, Li Geng, Nanning Zheng