职位

副研究员

个人经历

2008年于复旦大学计算机科学与技术系获得学士学位。

2013年于新加坡国立大学计算机科学系获得博士学位。

2013～2015年，2016～2018年分别在瑞士洛桑联邦理工大学和新加坡国立大学从事博士后研究工作。

研究兴趣

数据驱动的计算教育学，程序语言处理，自然语言处理。研究成果发表在ACL、SIGIR、ECML、CIKM、ICPC等国际学术会议上。

科研项目

1）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。

2）高等学校教育教学评价数字化转型，上海市教委教育数字化转型专项项目，2021.09~2021.12，参与。

3）智能教育信息科技创新引智基地，教育部高等学校学科创新引智计划(111计划)新，2021.01~2025.12，参与。

近年代表性论文

1) Siqi Han, Yu Wang, and Xuesong Lu. 2023. ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. In 45th International ACM SIGIR conference on research and development in information retrieval: SIGIR 2023. (To appear).

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

3) 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. 2023. 软件学报, 2023, 34(3): 1365-1395.

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

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

6) Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu and Ming Gao. 2022. 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. 2022. GypSum: Learning Hybrid Representations for Code Summarization. In 30th International Conference on Program Comprehension: ICPC 2022.

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

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

10) Wei Wang, Xuesong Lu, Bo Huang et al. 2021. 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/) 

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

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

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