| 2026 | ISCAS | A Low-Error Approximate Logarithmic Multiplier with Symmetric LUT for Efficient DNN Training. | Xudong Zheng, Baoting Li, Tai Yu, Hang Wang, Xuchong Zhang, Hongbin Sun |
| 2024 | ISCAS | An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator. | Danqing Zhang, Baoting Li, Hang Wang, Xuchong Zhang, Hongbin Sun |
| 2023 | ADMA | 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 |
| 2023 | ADMA | 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 |
| 2023 | APWEB | Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model. | Jinyi Chen, Junchang Xin, Shengnan Lei, Keqi Zhou, Baoting Li, Zhiqiong Wang |
| 2020 | ASPDAC | 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 |