陆雪松

2004~2008，复旦大学，计算机科学与技术系，本科。

2008~2013，新加坡国立大学，计算机科学系，博士。

2013~2015，洛桑联邦理工公司，计算机与通信科学公司，博士后研究员。

2016~2018，新加坡国立大学，计算机公司，博士后研究员。

2018~2023，yl23455永利，yl23455永利，副研究员。

2023~至今，yl23455永利，yl23455永利，副教授。

数据驱动的计算教育学，包括大规模可扩展在线教学平台研发、基于自然语言处理和程序语言处理的智慧教育研究等。

1）大规模可扩展教学平台：研发支撑大规模、全链路在线学习的新型教学平台，以及提高平台可扩展性和满足教学环境定制化的关键技术。

2）智慧教育支撑工具：研发能够促进自主学习的智慧教育支撑工具，提高教学过程的智能化程度，探索实现规模化、自适应教学的关键技术。

3）自动化学习反馈与评价：研究学习反馈与评价的自动化生成方法，探索通过即时反馈提高员工学习效率、利用多维数据实现过程性评价的关键技术。

本科教学：

    --秋季学期

        《程序设计》，学科基础课

        《计算机视觉》，专业选修课

    --春季学期

        《云计算系统》，专业必修课

研究生教学：

    --秋季学期

        《计算机视觉》，专业选修课

    --春季学期

        《计算教育学》，专业选修课

        《工程伦理》，专业必修课（非全）

1）教育大数据驱动的个性化学习关键技术研究与示范应用，国家重点研发计划专项，2023.11~2026.10，参与。

2）编程训练的智能反馈与评价，国家自然科学基金面上项目，2023.01~2026.12，主持。

3）基于NVM的自适应数据存储引擎技术研究，上海市科委项目，2021.10~2023.9，参与。

4）高等公司公司产品评价数字化转型，上海市教委教育数字化转型专项项目，2021.09~2021.12，参与。

5）智能教育信息科技创新引智基地，教育部高等公司学科创新引智计划(111计划)新，2021.01~2025.12，参与。

2026：

27）Xin Liu, Hang Su, Shuo Wang, Xuesong Lu*, Aoying Zhou. MDJOSC: Matching Digital Talents and Job Titles in Open Source Communities. Frontiers of Computer Science 2026, 20(8): 2008614.

2025：

26）Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou. Survey of natural language processing for education: Taxonomy, systematic review, and future trends. IEEE Transactions on Knowledge and Data Engineering, 2025.

25）Qingqing Liang, Xuesong Lu*, Chunyang Wang, Weining Qian, Aoying Zhou. Dynamic integration of preference and knowledge status for knowledge concept recommendation. Neurocomputing, Volume 658, 2025, 131786.

24）Hang Su, Yun Yang, Tianyang Liu, Xin Liu, Peng Pu, Xuesong Lu*. Personalized Question Answering with User Profile Generation and Compression. In Findings of the Association for Computational Linguistics: EMNLP 2025.

23）Xin Liu, Hang Su, Xuesong Lu*. Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities. In the Joint European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2025.

22) Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang. EasyTime: Time Series Forecasting Made Easy. In the 41st IEEE International Conference on Data Engineering: ICDE 2025.

2024:

21) Guolong Zeng, Qinchen Xue, and Xuesong Lu*. Instruction Tuning with LLMs for Programming Exercise Generation. In the 21th International Conference on Web Information Systems and Applications: WISA 2024.

20) Changxuan Sun, Linlin She, and Xuesong Lu*. Two Issues with Chinese Spelling Correction and A Refinement Solution. In the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024.

19) Xin Liu, Yu Wang, Qiwen Dong, and Xuesong Lu*. Job Title Prediction as A Dual Task of Expertise Prediction in Open Source Software. In the Joint European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2024.

18) Yu Wang, Xin Liu, Xuesong Lu*, and Aoying Zhou. Code Summarization with Project-Specific Features. In the Joint European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2024.

17) Yu Wang, Xin Liu, Xuesong Lu*, and Aoying Zhou. iiPCS: Intent-Based In-Context Learning for Project-Specific Code Summarization. In the IEEE International Joint Conference on Neural Network: IJCNN 2024.

2023：

16) Siqi Han, Yu Wang, and Xuesong Lu*. ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. In the 46th International ACM SIGIR conference on research and development in information retrieval: SIGIR 2023.

15) Hang Su, Xin Liu, Shanghui Yang, and Xuesong Lu*. Deep knowledge tracing with learning curves. Frontiers in Psychology 14 (2023).

14) 王宇, 朱梦霞, 杨尚辉, 陆雪松*, and 周傲英. 深度知识追踪模型综述和性能比较. 软件学报, 2023, 34(3).

13）Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan, and Xuesong Lu. FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation. In the 32nd ACM International Conference on Information & Knowledge Management: CIKM 2023.

12) En Zhang, Fan Wu, and Xuesong Lu*. An Intelligent Scheduling System for Large-Scale Online Judging. In the 18th International Conference on Computer Science and Education: ICCSE 2023.

11) Qi Si, Xuesong Lu, Weiyi Li and Peng Pu. DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud. In the 20th Pacific Rim International Conference on Artificial Intelligence: PRICAI 2023.

2022：

10) Siqi Han, Wanting Li, En Zhang, Wei Wang, and Xuesong Lu*. MLadder: An Online Training System for Machine Learning and Data Science Education. In the 31st ACM International Conference on Information & Knowledge Management: CIKM 2022. (水杉天梯: https://mladder.shuishan.net.cn/)

9) Dongxia Wang, En Zhang, and Xuesong Lu*. Automatic Grading of Student Code with Similarity Measurement. In the Joint European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2022.

8) Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu and Ming Gao. CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. In Findings of the Association for Computational Linguistics: EMNLP 2022.

7) Yu Wang, Yu Dong, Xuesong Lu*, and Aoying Zhou. GypSum: Learning Hybrid Representations for Code Summarization. In the 30th International Conference on Program Comprehension: ICPC 2022.

6) Xuhang Xie, Xuesong Lu*, and Bei Chen. Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction. In Findings of the Association for Computational Linguistics: ACL 2022.

5) Mengxia Zhu, Siqi Han, Peisen Yuan, and Xuesong Lu*. Enhancing Programming Knowledge Tracing by Interacting Programming Skills and Student Code. In the 12th International Learning Analytics and Knowledge Conference: LAK 2022. (Best Research Short Paper Nomination)

2021:

4) Wei Wang, Xuesong Lu*, Bo Huang et al. Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. In 2021 IEEE International Conference on Engineering, Technology & Education: TALE 2021. (水杉在线: https://www.shuishan.net.cn/)

2020:

3) Yilian Xin, Dezhuang Miao, Mengxia Zhu, Cheqing Jin, and Xuesong Lu*. InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management: CIKM 2020.

2) Yu Dong, Jingyang Hou, and Xuesong Lu*. An Intelligent Online Judge System for Programming Training. In Database Systems for Advanced Applications: DASFAA 2020.

1) Dezhuang Miao, Yu Dong and Xuesong Lu*. PIPE: Predicting Logical Programming Errors in Programming Exercises. In Proceedings of The 13th International Conference on Educational Data Mining: EDM 2020.

1）2023.5，国家级教学成果奖，二等奖，教育部。

2）2022.9，上海市优秀教学成果，一等奖，上海市教委。

3）2022.8，优秀指导教师奖，yl23455永利。

4）2020.7，国家级新工科研究与实践项目，优秀，教育部。