工作经历（博士后工作经历除外）：

2020年08月 – 至今 广东技术师范大学 自动化学院自动控制系讲师

近五年主持或参加的科学研究项目/课题：

· 有序多类接收机工作特性超曲面下体积的统计特性、快速算法及应用，国家自然科学基金青年项目，30万元，在研，主持；

· 基于串行时间编码放大显微镜的高通量癌细胞检测关键技术研究，广东省自然科学基金面上项目，10万元，在研，主持；

· 面向癌细胞检测仪的多类接收机工作特性评价系统，广州市科技计划启航项目，5万元，结题，主持；

· 基于超分辨率和接收机工作特性分析快速算法的高通量癌细胞检测仪的初步设计。校级项目，30万元，在研，主持；

· 基于全光信号处理的超高速成像系统大数据压缩，国家自然科学基金面上项目，60万元，结题，主要参与（排名第3）；

· 接收机工作特性曲线与曲面的统计特性、快速算法以及在变点检测与基因组数据分析中的应用，国家自然科学基金面上项目，60万元，结题，主要参与（排名第3）；

· 面向农业场景低空遥感图像三维重建关键技术研究，广东省自然科学基金面上项目，15万元，在研，主要参与（排名第2）。

代表性成果和学术奖励情况：

· Liu S, Zheng Y, Zeng X, et al. Hierarchical cascaded networks with multi-task balanced loss for fine-grained hashing[J]. Engineering Applications of Artificial Intelligence, 2025, 152: 110659.

· Zeng X, Zhou J, Liu D, Yuan J, Yin M, Xu W, Liu S*. Large-scale fine-grained image retrieval via Proxy Mask Pooling and multilateral semantic relations[J]. Knowledge-Based Systems, 2025: 114018.

· Zeng X, Zhou J, Ye C, Yuan J, Li J, Jiang J, Chen R, Liu S*. Stacked and decorrelated hashing with AdapTanh for large-scale fine-grained image retrieval[J]. Signal Processing: Image Communication, 2025, 138: 117374.

· Zhu H, Liu S¹, Xu W, et al. Linearithmic and unbiased implementation of DeLong’s algorithm for comparing the areas under correlated ROC curves[J]. Expert Systems with Applications, 2024, 246: 123194.

· Liu S, Yang J, Zeng X, et al. An efficient and user-friendly software tool for ordered multi-class receiver operating characteristic analysis based on python[J]. SoftwareX, 2022, 19: 101175.

· Zeng X, Liu S, Wang X, et al. SSCRL: fine-grained object retrieval with switched shifted centralized ranking loss[J]. Applied Intelligence, 2023, 53(1): 336-350.

· Liu S, Sun X, Xu W, et al. Null Distribution of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous Measurements[J]. IEEE Signal Processing Letters, 2018, 25(12): 1855-1859.

· Zhu H, Liu S¹, Xu W, et al. Fast and unbiased estimation of volume under the ordered multi-class ROC hyper-surface with continuous measurements[J]. Digital Signal Processing, 2022, 126: 103500.

· Zeng X, Liu S¹, Wang X, et al. Hard decorrelated centralized loss for fine-grained image retrieval[J]. Neurocomputing, 2021, 453: 26-37.

· Liu S, Sun X, Xu W, et al. Fast and unbiased estimation of volume under ordered three-class ROC surface(VUS) based on dynamic programming[J]. IEEE Access, 2019, vol.7: 63972-63982.

· Liu S, Zhu H, Xu W, et al. fast and unbiased estimation of volume under ordered three-class ROC surface (VUS) with continuous or discrete measurements[J]. IEEE Access, 2020, vol.8: 136206 – 136222.

· Xu W, Liu S, Sun X, et al. A fast algorithm for unbiased estimation of variance of AUC based on dynamic programming[J]. IEEE Access, 2016, 4: 9553-9560.

· Zhu H, Sun X, Liu S, et al. Improvement of Waegeman–Baets–Boullart algorithms for ordered multi-class ROC analysis[J]. Neurocomputing, 2024, 596: 128095.

· Liu S, Mididoddi C K, Zhou H, et al. single-shot sub-Nyquist RF signal reconstruction based on deep learning Network[C]//2018 International Topical Meeting on Microwave Photonics (MWP), Toulouse. IEEE, 2018: 1-4. (EI会议，光学领域top)

· Li B, Liu S, Xu W, et al. Real-time object detection and semantic segmentation for autonomous driving [C]//MIPPR 2017: Automatic Target Recognition and Navigation. International Society for Optics and Photonics, 2018, 10608: 106080P. (EI 会议)

· 刘舜，曾宪贤等，一种基于动态规划的二分类器性能评估电路及其评估方法.(授权发明专利)

· 徐维超, 刘舜等，一种基于皮尔逊秩次变量相关系数的信号检测电路及方法. (授权发明专利)

· 刘舜等，基于动态规划算法快速无偏估算AUC均值及其方差软件. (软件著作权)