午
午空AI笔记 NoonSky AI Notes
上海立信会计金融学院实验室主页 Laboratory Homepage of Shanghai Lixin University of Accounting and Finance
Research Group · AI · FinTech · Causality Research Group · AI · FinTech · Causality

午空AI笔记 NoonSky AI Notes

面向金融科技、统计学习、因果推断与智能决策的实验室 / 科研组主页。我们依托上海立信会计金融学院，关注从数学建模到产业应用的跨学科研究路径，把学术深度与真实世界问题连接起来。 A laboratory and research group homepage focused on financial technology, statistical learning, causal inference, and intelligent decision-making. Based at Shanghai Lixin University of Accounting and Finance, we work across the full path from mathematical modeling to industrial application, connecting rigorous scholarship with real-world problems.
查看指导老师 Meet the Supervisor 研究方向 Research Areas
Institution Institution
上海立信会计金融学院 Shanghai Lixin University of Accounting and Finance
依托金融科技、统计学与人工智能交叉研究，连接财经教育、学术研究与产业实践。 Anchored in interdisciplinary work across financial technology, statistics, and AI, linking business education, academic research, and industry practice.
Faculty Lead Faculty Lead
程宏 / Hong Cheng, Ph.D.
副教授、副院长、硕士生导师，青海省大数据金融与人工智能应用技术重点实验室主任。 Associate Professor, Vice Dean, Master's Supervisor, and Director of the Qinghai Key Laboratory of Big Data Finance and Artificial Intelligence Applications.
Research Signal Research Signal
数学建模 · 金融统计与风险管理 · 统计学习 · 模式识别 · 工业大数据 · 因果推断 Mathematical modeling · Financial statistics and risk management · Statistical learning · Pattern recognition · Industrial big data · Causal inference

实验室气质 Studio Character

我们希望这不仅是一张主页，也是一张关于研究取向的名片：严谨、开放、面向问题，并对技术与社会之间的连接保持敏感。 This page is meant to be more than a profile. It is also a statement of research character: rigorous, open, problem-driven, and attentive to the connection between technology and society.
午空AI笔记聚焦“财经 + STEM + AI”的交叉研究与人才培养，强调从基础理论、方法创新到行业落地的完整链条。页面延续这一取向：以清晰的信息结构展示研究团队的学术脉络，也保留足够的温度与现代感，适合作为实验室对外展示与长期更新的首页基础。 NoonSky AI Notes focuses on the intersection of finance, STEM, and AI, with equal attention to foundational theory, methodological innovation, and industry deployment. The page follows that logic: it presents the group's academic trajectory with clarity while retaining warmth and a distinctly modern visual presence, making it suitable as a long-term public-facing laboratory homepage.

研究方向 Research Areas

实验室关注理论与应用之间的过渡层，用可解释、可验证、可迁移的方法回应复杂系统与真实场景中的问题。 The group is especially interested in the transitional layer between theory and application, using interpretable, verifiable, and transferable methods to address complex systems and real scenarios.
01

计算神经科学建模 Computational Neuroscience Modeling

围绕神经元网络、动力学分析与因果结构重建，探索复杂脑网络中的数学机制。 Investigating neuronal networks, dynamical analysis, and causal structure reconstruction to understand mathematical mechanisms in complex brain systems.

02

金融统计与风险管理 Financial Statistics & Risk Management

关注金融市场联动、分位数格兰杰因果检验、风险溢出与市场复杂关系的刻画。 Focusing on market linkage, quantile-based Granger causality, risk spillover, and complex dependence structures in financial systems.

03

统计学习与模式识别 Statistical Learning & Pattern Recognition

结合机器学习、计算机视觉和隐私保护框架，推动数据驱动方法在多场景中的可用性。 Combining machine learning, computer vision, and privacy-preserving frameworks to advance data-driven methods across scenarios.

04

工业大数据与因果推断 Industrial Big Data & Causal Inference

将人工智能、因果推断和智能制造结合起来，服务产业数字化与决策优化。 Integrating AI, causal inference, and intelligent manufacturing to support industrial digitalization and decision optimization.

指导老师 Faculty Supervisor

以下内容基于程宏老师提供的个人学术信息整理，采用“概览 + 详细档案”的方式呈现，便于首页浏览与后续维护。 The profile below is organized from the provided academic record of Professor Hong Cheng, presented as an overview plus expandable archive for readability and future maintenance.

个人简介 / Biography Biography

程宏，博士，上海交通大学理学博士，上海立信会计金融学院金融科技学院副教授、副院长，硕士生导师，青海省大数据金融与人工智能应用技术重点实验室主任。曾任上海立信会计金融学院金融统计系系主任、金融统计系教师党支部书记，并先后在纽约大学柯朗数学科学研究所、杜兰大学生物统计与生物信息实验室访学。其研究横跨计算神经科学、金融统计、统计学习、工业大数据与因果推断，也具有较强的政产学研协同背景。 Hong Cheng received his Ph.D. in Mathematics from Shanghai Jiao Tong University and is now Associate Professor, Vice Dean, and Master's Supervisor at the School of Financial Technology, Shanghai Lixin University of Accounting and Finance. He is also Director of the Qinghai Key Laboratory of Big Data Finance and Artificial Intelligence Applications. He previously served as department chair and Party branch secretary in financial statistics, and was a visiting scholar at the Courant Institute of Mathematical Sciences at New York University and at Tulane University's biostatistics and bioinformatics laboratory. His work spans computational neuroscience, financial statistics, statistical learning, industrial big data, and causal inference, with strong links across academia, government, and industry.

他入选青海省 2023 年度“昆仑英才高端创新创业”柔性领军人才、2016 年上海市青年科技英才扬帆计划，并曾入选杭州市萧山区 2021 年第一批高层次人才创业创新“5213”计划（领航类）。近年来以第一作者或通讯作者在国内外重要期刊发表论文 10 余篇，出版学术专著 1 部，主持纵向课题 10 余项，与企业联合申请发明专利 6 项，授权发明专利 2 项，登记软件著作权 4 项，参与制定团体标准 1 项。 He has been recognized as a flexible leading talent in Qinghai's 2023 Kunlun Talent program, selected for the 2016 Shanghai Young Scientific and Technological Talent Sailing Program, and included in the 2021 Hangzhou Xiaoshan District 5213 high-level entrepreneurship and innovation plan. In recent years, he has published more than ten papers as first or corresponding author, authored one academic monograph, led more than ten vertically funded research projects, co-filed six invention patents with enterprises, obtained two granted invention patents, registered four software copyrights, and participated in drafting one industry standard.

研究方向 / Research Interests Research Interests

计算神经科学中的数学建模及动力学分析 Mathematical modeling and dynamical analysis in computational neuroscience
金融统计与风险管理 Financial statistics and risk management
统计学习方法与模式识别 Statistical learning and pattern recognition
工业大数据与智能制造中的人工智能应用 AI applications in industrial big data and intelligent manufacturing
因果推断 Causal inference

教育背景 / Education Education

2011.09 – 2015.03
上海交通大学，数学系 & 自然科学研究院，数学，博士 Shanghai Jiao Tong University, Department of Mathematics & Institute of Natural Sciences, Ph.D. in Mathematics 导师：蔡申瓯、周栋焯 Advisors: Shen-Ou Cai and Dongzhuo Zhou
2009.09 – 2011.09
上海交通大学，数学系 & 自然科学研究院，应用数学，硕士（硕博连读） Shanghai Jiao Tong University, Department of Mathematics & Institute of Natural Sciences, M.S. in Applied Mathematics (direct Ph.D. track) 导师：蔡申瓯、周栋焯 Advisors: Shen-Ou Cai and Dongzhuo Zhou
2004.09 – 2008.07
江西科技师范大学，通信与电子学院，电子信息工程，本科 Jiangxi Science and Technology Normal University, School of Communication and Electronics, B.Eng. in Electronic Information Engineering

工作经历 / Professional Appointments Professional Appointments

2024.06 – Present
上海立信会计金融学院，金融科技学院副院长 Vice Dean, School of Financial Technology, Shanghai Lixin University of Accounting and Finance
2023.08 – Present
青海省大数据金融与人工智能应用技术重点实验室主任 Director, Qinghai Key Laboratory of Big Data Finance and Artificial Intelligence Applications
2022.06 – 2025.06
青海理工学院，金融研究院副院长（柔性） Vice Dean (Flexible Appointment), Institute of Finance, Qinghai Institute of Technology
2021.12 – 2024.06
上海立信会计金融学院，统计与数学学院金融统计系副教授 Associate Professor, Department of Financial Statistics, School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance
2021.05 – 2024.05
上海市人民政府驻西宁办事处，综合管理处挂职锻炼（援青） Temporary Appointment, General Administration Division, Shanghai Municipal Government Office in Xining
2015.05 – 2021.12
上海立信会计金融学院，统计与数学学院金融统计系助理教授 Assistant Professor, Department of Financial Statistics, School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance
2019.03 – 2021.05
金融统计系教师党支部书记 Secretary, Party Branch of the Department of Financial Statistics
2019.05 – 2021.05
金融统计系系主任 Chair, Department of Financial Statistics
2019.10 – 2025.06
杭州田涧云工业科技有限公司，联合创始人兼首席数据官 Co-Founder and Chief Data Officer, Hangzhou Tianjianyun Industrial Technology Co., Ltd.
2019.10 – 2025.06
汇鼎数据科技（上海）有限公司，兼职数据总监（CDO） Part-time Chief Data Officer, Huiding Data Technology (Shanghai) Co., Ltd.
2017.10 – 2018.08
纽约大学柯朗数学科学研究所（CIMS），访问学者 Visiting Scholar, Courant Institute of Mathematical Sciences, New York University Advisor: David Cai
2017.12 – 2018.02
杜兰大学生物统计和生物信息系，访问学者 Visiting Scholar, Department of Biostatistics and Bioinformatics, Tulane University Advisor: YuPing Wang

代表性研究成果 / Selected Research Outputs Selected Research Outputs

含代表性论文、会议论文与学术报告，兼顾神经科学、金融统计与机器学习方向。 Including representative journal papers, conference papers, and presentations across neuroscience, financial statistics, and machine learning.
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Journals

  • 程宏，朱沈钦钰，潘文捷. “省际人口流动与房价波动联动性研究——基于分位数格兰杰因果检验”，《数理统计与管理》，2023.03（CSSCI）。 Hong Cheng, Shenqinyu Zhu, Wenjie Pan. "Interprovincial Population Mobility and Housing Price Volatility Linkage: A Quantile Granger Causality Approach," Journal of Applied Statistics and Management, 2023.03 (CSSCI).
  • Ruoli Zhao, Yong Xie, Hong Cheng, Xingxing Jia, Syed Hamad Shirazi. "ePMLF: Efficient and Privacy-preserving Machine Learning Framework based on Fog Computing", International Journal of Intelligent Systems, 2023 (SCI).
  • Hong Cheng, Yunqing Wang, Yihong Wang, Tinggan Yang. "Inferring causal interactions in financial markets using conditional Granger causality based on quantile regression", Computational Economics, 2022, 59(2): 719-748 (SSCI, SCI).
  • Hong Cheng, David Cai, Douglas Zhou. "The Extended Granger Causality Analysis for Hodgkin-Huxley Neuronal Models", Chaos, 2020, 30(10): 103102 (SCI).
  • Hong Cheng, Lin Chen. "A Holistic Approach for Efficient Contour Detection", Journal of Computer Science and Technology, 29(6): 1038-1047, 2014 (SCI, CCF-B).
  • Hong Cheng, Lan Guo. "Local Largest Lyapunov Exponent is Critical to Threshold Voltage and Refractory Period", Italian Journal of Pure and Applied Mathematics, 34: 189-200, 2015 (EI).
  • 程宏，杨廷干. “基于分位数条件格兰杰因果的东亚股市传染研究”，《系统工程学报》，36 卷第 3 期，2021（CSCD 核心）。 Hong Cheng, Tinggan Yang. "East Asian Stock Market Contagion Based on Quantile Conditional Granger Causality", Journal of Systems Engineering, Vol. 36, No. 3, 2021 (CSCD Core).
  • 贺小娟，潘文捷，程宏. “基于集成学习方法的点击率预估模型研究”，《计算机工程与科学》，2019, 41(12): 2278-2284。 Xiaojuan He, Wenjie Pan, Hong Cheng. "Click-Through Rate Prediction Based on Ensemble Learning", Computer Engineering & Science, 2019, 41(12): 2278-2284.
  • 程宏，潘文捷. “基于 Copula 分位数格兰杰因果检验的股票市场相依性研究”，《数量经济研究》，2018, 9(02): 78-101（CSSCI）。 Hong Cheng, Wenjie Pan. "Stock Market Dependence Based on Copula Quantile Granger Causality Test", Quantitative Economics Research, 2018, 9(02): 78-101 (CSSCI).
  • Hong Cheng, Jianhui Shang, Chao Zhang. "Object Extraction by Superpixel Grouping", in Control Engineering and Information Systems, pp. 741-748, CRC Press, 2015 (EI).

Conference Paper

  • Xiaojuan He, Wenjie Pan, Hong Cheng. "Research on Advertising Click-Through Rate Prediction Model Based on Ensemble Learning", International Conference on Data Science, Medicine and Bioinformatics, Springer, Singapore, 2019: 82-93.

Presentations

  • "Conditional Granger Causality Tests Based on Quantile Regression for the Complexity of Relations in Financial Markets", SEM 2018-5th Annual Conference, Xiamen, China, June 8-10, 2018.
  • "Conditional Granger Causality Tests in Quantile Regression", 2018 Symposium on Data Science & Statistics, Reston, Virginia, USA, May 16-19, 2018.
  • "Granger Causality in Sparse Neuronal Network", The Multiscale Bioimaging and Bioinformatics Laboratory, Tulane University, January 10, 2018.
  • "Specification Tests for Conditional Granger Causality in Quantiles", Workshop on Data Analysis and Nonlinear Dynamic System, Shanghai Lixin University of Accounting and Finance, June 27, 2017.
  • “大脑神经元网络的因果关系重建”，复杂网络青年学者论坛，上海理工大学，2015 年 5 月 13 日。 "Causal Relationship Reconstruction in Brain Neuronal Networks", Seminar of Young Scholars on Complex Network, University of Shanghai for Science and Technology, May 13, 2015.
  • "Object Extraction by Superpixel Grouping", Ph.D. Candidate Forum on Computational and Applied Mathematics, Shanghai Jiao Tong University, October 13, 2012.

专利、软件著作权与出版 / Patents, Software & Publications Patents, Software & Publications

收录已授权发明专利、公开专利、软件著作权、学术专著与团体标准参与情况。 Including granted patents, published patent applications, software copyrights, monograph, and standards participation.
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Patents & Software Patents & Software

  • 【已授权】发明专利：流程制造业生产计划策略确定方法、系统及装置，公布号：CN114819601A，专利号：ZL 2022 1 0422802.6。 Granted invention patent: Method, system and device for determining production planning strategies in process manufacturing, Publication No. CN114819601A, Patent No. ZL 2022 1 0422802.6.
  • 【已授权】发明专利：一种基于 AI 分析技术的仓储库存状态感知方法，专利号：ZL 2020 1 0406537.3。 Granted invention patent: An AI-based method for perception of warehouse inventory status, Patent No. ZL 2020 1 0406537.3.
  • 发明专利：基于雾计算的高效隐私保护机器学习框架及方法，公布号：CN115983404A。 Invention patent application: Efficient privacy-preserving machine learning framework and method based on fog computing, Publication No. CN115983404A.
  • 发明专利：基于绩效评价模型的离散制造业多厂协同生产优化方法，公布号：CN115936290A。 Invention patent application: Multi-factory collaborative production optimization for discrete manufacturing based on a performance evaluation model, Publication No. CN115936290A.
  • 发明专利：数字工厂上下游企业画像评价方法以及系统，公布号：CN114298472A。 Invention patent application: Evaluation method and system for digital-factory upstream and downstream enterprise profiling, Publication No. CN114298472A.
  • 发明专利：一种基于 AI 分析技术的车辆识别感知方法，公布号：CN111598154A。 Invention patent application: An AI-based vehicle recognition perception method, Publication No. CN111598154A.
  • QuestionGo Machine Learning Teaching Experiment Software V1.0, Registration No. 2020SR701999, National Computer Software Copyright, December 2020.
  • 教学科研管理一体化软件 V1.0，登记号：2020SR0961645，国家计算机软件著作权，2020 年 8 月。 Integrated Teaching and Research Management Software V1.0, Registration No. 2020SR0961645, National Computer Software Copyright, August 2020.
  • 市政工程类绩效评价软件系统，登记号：2017SR659761，国家计算机软件著作权，2017 年 11 月。 Municipal Engineering Performance Evaluation Software System, Registration No. 2017SR659761, National Computer Software Copyright, November 2017.

Books & Standards Books & Standards

  • 程宏著，《统计因果推断模型理论与应用——基于大脑网络及金融市场研究》，经济科学出版社，2020 年 7 月，ISBN：978-7-5141-6222-6。 Hong Cheng, Theory and Application of Statistical Causal Inference Models: Based on Brain Networks and Financial Markets, Economic Science Press, July 2020, ISBN 978-7-5141-6222-6.
  • 参与《金融大模型应用评测指南》团体标准起草，上海立信会计金融学院与青海省大数据金融与人工智能应用技术重点实验室为起草单位之一，2024 年 12 月 16 日。 Participated in drafting the group standard Guidelines for the Evaluation of Financial Large-Model Applications, with Shanghai Lixin University of Accounting and Finance and the Qinghai Key Laboratory as drafting institutions, December 16, 2024.

科研项目 / Funded Projects Funded Projects

包括主持与参与项目，覆盖高等教育、金融开放、产业数字化、神经网络因果关系等主题。 Including both principal-investigator and participating roles across higher education, financial openness, industrial digitalization, and neuronal causality topics.
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Principal Investigator Principal Investigator

  • 中国高等教育学会 2025 年度高等教育科学研究规划重点课题：基于“专业-产业-就业”三元协同的智能化产教融合路径探索（25RH0207），2025/10-2027/09，在研。 Key Project of the 2025 Higher Education Scientific Research Plan, China Association of Higher Education: Intelligent industry-education integration path based on specialty-industry-employment triadic coordination (25RH0207), 2025/10-2027/09, ongoing.
  • 2024 年度上海市哲学社会科学规划课题：金融强国指数视角下的上海高水平金融对外开放探索研究（2024BJB004），2024/12-2026/12，在研。 2024 Shanghai Philosophy and Social Science Planning Project: Exploring high-level financial opening-up in Shanghai from the perspective of a financial power index (2024BJB004), 2024/12-2026/12, ongoing.
  • 上海立信会计金融学院骨干教师创新团队建设项目：面板分位数格兰杰因果检验及其应用研究（CXTD2022006），2022/05-2025/04，已结题。 SLUAF Innovation Team Project for Core Faculty: Panel quantile Granger causality tests and applications (CXTD2022006), 2022/05-2025/04, completed.
  • 杭州萧山区第一批创新创业“5213”计划项目：工业互联网操作系统 HOS-Cloud，2021/06-2025/06，已结题。 First Batch of the Xiaoshan District 5213 Innovation and Entrepreneurship Plan: Industrial Internet Operating System HOS-Cloud, 2021/06-2025/06, completed.
  • 上海立信会计金融学院金融科技研究专项：产业数字化中的金融支持问题及对策，2021/08-2021/12，已结题。 SLUAF Financial Technology Research Special Project: Financial support issues and countermeasures in industrial digitalization, 2021/08-2021/12, completed.
  • 上海立信会计金融学院财经大数据中心创新课题：基于财经大数据案例的数据科学实验软件，2021/09-2021/12，已结题。 Innovation Project of the Center for Finance and Big Data, SLUAF: Data science experimental software based on finance big-data cases, 2021/09-2021/12, completed.
  • 2019 年服务上海与长三角区域一体化发展战略项目：进一步推动人工智能与实体经济融合提高上海经济高质量发展研究，2019/06-2019/12，已结题。 2019 Shanghai and Yangtze River Delta Integration Strategy Project: Advancing the integration of AI and the real economy to improve high-quality economic development in Shanghai, 2019/06-2019/12, completed.
  • 2016 年上海市青年科技英才扬帆计划：基于 Hodgkin-Huxley 模型的神经网络因果关系研究（16YF1415900），2016/06-2019/05，已结题。 2016 Shanghai Young Scientific and Technological Talent Sailing Program: Causal relationship research in neuronal networks based on the Hodgkin-Huxley model (16YF1415900), 2016/06-2019/05, completed.
  • 2016 年上海高校青年教师培养资助计划：格兰杰因果关系在神经元网络及金融市场中的应用与研究（ZZSHJR15045），2016/06-2018/06，已结题。 2016 Shanghai Young Faculty Development Program: Applications of Granger causality in neuronal networks and financial markets (ZZSHJR15045), 2016/06-2018/06, completed.
  • 上海立信会计金融学院统计学一级学科建设课题：基于分位数的非参数格兰杰因果检验及其应用，2017/10-2019/10，已结题。 SLUAF First-Level Discipline Construction Project in Statistics: Nonparametric quantile-based Granger causality tests and applications, 2017/10-2019/10, completed.
  • 上海立信会计金融学院青年科研课题：基于分位数格兰杰因果检验的金融市场相依性研究，2017/06-2017/12，已结题。 SLUAF Young Faculty Research Project: Financial market dependence based on quantile Granger causality tests, 2017/06-2017/12, completed.
  • 上海立信会计金融学院教学改革项目：留学生商务统计学教学改革探索（AW-12-2203-005062），2017/05-2018/04，已结题。 SLUAF Teaching Reform Project: Teaching reform in business statistics for international students (AW-12-2203-005062), 2017/05-2018/04, completed.
  • 上海立信会计金融学院全国大学生学科竞赛项目：全国大学生统计建模，2017/05-2017/10，已结题。 SLUAF National Student Competition Project: National College Students Statistical Modeling, 2017/05-2017/10, completed.

Project Participation Project Participation

  • 上海立信会计金融学院高地大应用统计一流专业（B 类）建设项目，2019/06-2021/12，参与。 SLUAF First-Class Applied Statistics Major Construction Project (Category B), 2019/06-2021/12, participant.
  • 2018 年上海市智库研究专项课题：探索“科创板”设立对上海聚集金融要素推动经济转型发展问题研究（2018TZB029），2018-2019，参与。 2018 Shanghai Think Tank Research Project: Research on how the STAR Market supports Shanghai's financial agglomeration and economic transformation (2018TZB029), 2018-2019, participant.
  • 2011 年国家自然科学基金青年基金项目：整合-发放型生物神经元网络的研究与应用（No. 11101275），2012/01-2014/12，参与。 National Natural Science Foundation of China Youth Project: Research and application of integrate-and-fire biological neuronal networks (No. 11101275), 2012/01-2014/12, participant.
  • 2011 年国家自然科学基金面上基金项目：强非线性色散波湍流的研究（No. 11071161），2012/01-2014/12，参与。 National Natural Science Foundation of China General Project: Research on strongly nonlinear dispersive wave turbulence (No. 11071161), 2012/01-2014/12, participant.

媒体文章与课程 / Media & Teaching Media & Teaching

涵盖公开媒体写作与近年来主讲课程，体现“研究-教学-社会服务”的完整面向。 Covering public-facing writing and recent teaching activities to show the full arc of research, teaching, and social engagement.
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Media Articles Media Articles

  • 程宏. “探索‘财经 + STEM’教育新范式 加快构建财经类高校育人新体系”，《经济参考报》，2025 年 12 月 19 日。 Hong Cheng. "Exploring a New Finance + STEM Education Paradigm and Accelerating a New Talent-Training System for Finance Universities", Economic Information Daily, December 19, 2025.
  • 程宏，殷林森. “全国两会高度关注数字经济发展，金融如何助力产业数字化转型？”，《上观新闻》，2022 年 3 月 11 日。 Hong Cheng, Linsen Yin. "With the Two Sessions Highlighting the Digital Economy, How Can Finance Support Industrial Digital Transformation?", Jiefang Daily / Shangguan News, March 11, 2022.
  • 程宏，杨廷干. “面对经济下行压力，中国经济如何稳定发展？这个环节不能‘掉链’”，《上观新闻》，2022 年 7 月 22 日。 Hong Cheng, Tinggan Yang. "Under Downward Economic Pressure, How Can China Maintain Stable Growth? This Link Must Not Break", Shangguan News, July 22, 2022.

Teaching Teaching

  • 上海立信会计金融学院，2025 Fall：金融数据挖掘与机器学习、金融时间序列分析与实践。 Shanghai Lixin University of Accounting and Finance, Fall 2025: Financial Data Mining and Machine Learning; Financial Time Series Analysis and Practice.
  • 上海立信会计金融学院，2025 Spring：网络爬虫数据采集实践。 Shanghai Lixin University of Accounting and Finance, Spring 2025: Web Crawling and Data Collection Practice.
  • 上海立信会计金融学院，2024 Fall：深度学习理论与实践。 Shanghai Lixin University of Accounting and Finance, Fall 2024: Theory and Practice of Deep Learning.
  • 上海立信会计金融学院，2021 Spring：实用统计软件（SAS）、统计学、数据挖掘专题（短学段）、MATLAB 统计分析（短学段）。 Shanghai Lixin University of Accounting and Finance, Spring 2021: Applied Statistical Software (SAS), Statistics, Topics in Data Mining, MATLAB Statistical Analysis.
  • 上海立信会计金融学院，2020 Fall：统计机器学习导论、实用统计软件（SAS）、数据挖掘专题（短学段）。 Shanghai Lixin University of Accounting and Finance, Fall 2020: Introduction to Statistical Machine Learning, Applied Statistical Software (SAS), Topics in Data Mining.
  • 上海立信会计金融学院，2020 Spring：Python 语言与数据挖掘、MATLAB 金融计算与金融数据处理。 Shanghai Lixin University of Accounting and Finance, Spring 2020: Python and Data Mining; MATLAB Financial Computing and Financial Data Processing.
  • 上海立信会计金融学院，2019 Fall：统计机器学习导论、统计专业英语、统计学、实用统计软件（SAS）。 Shanghai Lixin University of Accounting and Finance, Fall 2019: Introduction to Statistical Machine Learning, English for Statistics, Statistics, Applied Statistical Software (SAS).
  • 上海立信会计金融学院，2019 Spring：统计学。 Shanghai Lixin University of Accounting and Finance, Spring 2019: Statistics.
  • 上海立信会计金融学院，2018 Fall：统计专业英语、MATLAB（一）、数理统计学。 Shanghai Lixin University of Accounting and Finance, Fall 2018: English for Statistics, MATLAB I, Mathematical Statistics.
  • 上海立信会计金融学院，2017 Spring：统计学、商务统计学（留学生基础必修课）。 Shanghai Lixin University of Accounting and Finance, Spring 2017: Statistics; Business Statistics for International Students.
  • 上海立信会计金融学院，2016 Fall：统计学、新生研讨课。 Shanghai Lixin University of Accounting and Finance, Fall 2016: Statistics; Freshman Seminar.
  • 青海民族大学经济与管理学院，2023 Spring：Python 金融数据分析（2022 级金融专硕）。 School of Economics and Management, Qinghai Minzu University, Spring 2023: Python Financial Data Analysis for Master of Finance students.