发表论文：

Chao Liu, Shimin Lin, & Jiaqi Li*. (2026). Functional data clustering and outlier identification via subgroup analysis with minimum spanning tree. Information Processing & Management, 63(5), 104646.

Chao Liu, Zuzheng Wang, & Junlong Zhao*. (2026). Distribution-insensitive influential point detection for high dimensional regression model. Statistics and Computing, 36, 84.

Xiaokang Wang, Kun Cheng, Rui Zhou, Hao Shi, & Chao Liu*. (2026). Outlier detection for Riemannian manifold-valued functional data with applications to long-haul flight trajectories. Applied Intelligence, 56, 81.

Qian Pan, Shanxue Gao, Shimin Lin, & Chao Liu*. (2026). Exploring spatio-temporal heterogeneity in sustainable development drivers using explainable AI: Evidence from China. Finance Research Letters, 87, 109018.

Jinzhao Liu, Chao Liu, JianQing Shi*, & Tom Nye. (2026). Wrapped Gaussian process functional regression model for batch data on Riemannian manifolds. Statistics and Computing, 36, 5.

Chao Liu, Bin Du, Jiaqi Li, & Junlong Zhao*. (2025). Influential observations detection by random projection in high-dimensional multivariate response linear model. Journal of Computational and Graphical Statistics, 1–9.

刘超, 彭舒心, 林诗敏, & 张钰笛*. (2025). 大湾区经管类概率统计课程的就业与升学导向教改研究. 应用统计与数据科学, 1(7), 57–60.

张倩颖, & 刘超*. (2025). 基于OBE理念的高等数学课程思政教学研究与实践. 科教文汇, (16), 56–60.

Chao Liu, Haonan Long, Guanpeng Li, Pengzhen Chen, Zhen Zhang, Jie Huang, Bin Zhu, Xinxin Han, Yanqing Hu, Jian Qing Shi*, & Dongfeng Gu. (2024). Impact of dynamic self-protection intensity on the COVID-19 pandemic: A case study in Shenzhen based on medical resources. Biostatistics & Epidemiology, 8(1). https://doi.org/10.1080/24709360.2023.2300206

Xiaokang Wang, Chengjian Li, Hao Shi, Congshan Wu, & Chao Liu*. (2023). Detection of outlying patterns from sparse and irregularly sampled electronic health records data. Engineering Applications of Artificial Intelligence, 126, 106788.

Chao Liu, Gao Xiao, & Xiaokang Wang*. (2022). Data adaptive functional outlier detection: Analysis of the Paris bike sharing system data. Information Sciences, 602, 13–42.

Chao Liu, Huiming Zhang*, & Jing Yan. (2022). Model-assisted estimators with auxiliary functional data. Communications in Mathematical Research, 38(1), 81–98.

Haiqiang Ma, Chao Liu, Sheng Xu, & Jin Yang*. (2022). Subgroup analysis for functional partial linear regression model. Canadian Journal of Statistics. *

Di-Rong Chen, Kun Cheng*, & Chao Liu. (2022). Framelet block thresholding estimator for sparse functional data. Journal of Multivariate Analysis, 189, 104895.

Haiqiang Ma, Jin Yang, Sheng Xu, Chao Liu, & Qinyi Zhang*. (2022). Combination of multiple functional markers to improve diagnostic accuracy. Journal of Applied Statistics, 49(1), 44–63.

Junlong Zhao, Chao Liu, Lu Niu, & Chenlei Leng*. (2019). Multiple influential point detection in high dimensional regression spaces. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 81(2), 385–408.

刘超*, & 桂风云. (2019). 混合地理加权似乎不相关模型的估计. 统计与决策, (35), 74–77.

Chao Liu, & Di-Rong Chen*. (2018). Generalization error bound of semi-supervised learning with ℓ1 regularization in sum space. Neurocomputing, 275, 1793–1800.

Chao Liu, Chuanhua Wei*, & Yunan Su. (2018). Geographically weighted regression model-assisted estimation in survey sampling. Journal of Nonparametric Statistics, 30(4), 906–925.

Chuanhua Wei*, Chao Liu, & Fengyun Gui. (2017). Geographically weight seemingly unrelated regression (GWSUR): A method for exploring spatio-temporal heterogeneity. Applied Economics, 49(42), 4189–4195.

刘超, 韦杰, & 魏传华*. (2017). 部分线性变系数模型的随机约束岭估计. 应用数学, 30(4), 774–779.

项目：

1.国家自然科学基金青年项目：高维和纵向数据的异常检测问题理论与应用研究，主持。

2.教育部人文社科研究青年项目：基于调和平稳均值回复模型的我国气象衍生品期货期权定价研究，主持。

3.全国统计科学研究项目优选项目（省部级）：绿色金融、绿色技术创新对区域可持续发展的影响机制研究，主持。

4.深圳大学校级教学改革项目：经管类概率统计课程数字化教学方法创新策略与应用实践研究，主持。

5.中国博士后科学基金面上项目：函数型数据的异常检测与稳健统计方法研究，主持。

6.中国博士后科学基金特别资助站前项目：黎曼流形上函数型数据的回归模型研究，主持。

7.国家自然科学基金面上项目：函数型数据恢复以及数据之间的依赖关系，参与。

8.国家自然科学基金联合项目：基于深度学习的函数型数据分析与处理，参与。

9.国家自然科学基金面上项目：非欧氏度量空间中回归分析模型研究, 参与。