Yanyan SHEN (沈艳艳)
Associate Professor with Tenure
SEIEE Building #03-528
Data Driven Software Technology Lab
Shanghai Jiao Tong University
Email: shenyy AT sjtu DOT edu DOT cn
Welcome to visit our DDST (数据驱动软件技术) lab website!
Bio
Yanyan is currently a tenured associate professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU). She received her bachelor degree from Peking University (PKU), and obtained her doctoral degree from National University of Singapore (NUS). Her broad research interests include: databases, data mining and machine learning. She focuses on developing efficient and automated solutions to facilitate data analytics in various data-driven application domains including finance, e-commerce, etc.
Yanyan has won a few awards, including ICDE 2023 best paper award, VLDB 2022 best reseach paper award, DASFAA 2019 best paper runner-up, APWeb-WAIM 2018 best student paper award, 2020 ACM SIGMOD China Rising Star award, and 2020 Shanghai Technical Invention award. She has served as a PC member of top international conferences such as SIGMOD, VLDB, ICDE, KDD and been selected as VLDB 2023 Distinguished Associate Editor, VLDB 2019 Distinguished Reviewer, and ICDE 2019 Outstanding Reviewer. She has been invited to serve as Associate Editor of IEEE TKDE, VLDB Journal and PVLDB 2023-2024, Demo Co-chair of ICDE 2023.
Research Interests
- Data management for AI systems
- Responsible and data-centric machine learning
- Complex data analytics in real applications
What's New
- 目前招收2025年入学硕士生,研究大数据和AI系统相关内容,欢迎有意愿的同学发邮件联系!
Professional Services
Journal Associate Editor
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- VLDB Journal (VLDBJ)
Journal Guest Editor
- VLDB Journal (Special Issue on Data Science for Responsible Data Management 2021)
- ACM/IMS Transactions on Data Science (Special Issue on Data Science for Next-generation Big Data 2021)
- Data Science and Engineering (Special Issue on DASFAA 2020)
Journal Reviewer
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- ACM/IMS Transactions on Data Science (TDS)
- IEEE Transactions on Computers (TC)
- IEEE Transactions on Intelligent Transportation Systems (TITS)
Conference Program Committee
- ACM International Conference on Management of Data (SIGMOD): 2021, 2023, 2024 (Demo-track)
- PVLDB Review Board: 2019, 2020, 2022, 2023-2024 (Associate Editor)
- IEEE International Conference on Data Engineering (ICDE): 2018, 2019, 2020, 2022, 2023 (Demo Co-chair)
- ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD): 2019, 2020, 2021, 2022
- International Joint Conference on Artificial Intelligence (IJCAI): 2018, 2019, 2020
- AAAI Conference on Artificial Intelligence (AAAI): 2019, 2020, 2021, 2022
- ACM Symposium on Cloud Computing (SOCC): 2020
- ACM International Conference on Information and Knowledge Management (CIKM): 2019
- SIAM International Conference on Data Mining (SDM): 2021
- Database Systems for Advanced Applications (DASFAA): 2017, 2018, 2019, 2020, 2021
Teaching
- [Fall] Database Principles (undergraduate students)
- [Spring] Computer Architecture (cs undergraduate students)
- [Spring] English for Academic Purposes (cs doctoral students)
- Problem Solving and Programming Practice (cs undergraduate students)
- Programming: Practice and Core Guidelines (2016/2017/2018)
- Programming Language (2016/2017)