Arthur S. Pearse Distinguished Professor of Computer Science
Data science, data mining, databases, information retrieval, computational statistics, applied machine learning and AI.
Appointments and Affiliations
- Arthur S. Pearse Distinguished Professor of Computer Science
- Professor of Computer Science
- Chair of the Department of Computer Science
- Professor of Electrical and Computer Engineering
- Professor of Biostatistics & Bioinformatics
Contact Information
- Office Location: 308 Research Drive, Durham, NC 27708
- Office Phone: +1 919 660 6500
- Email Address: j.pei@duke.edu
- Websites:
Education
- Ph.D. Simon Fraser University, 2002
Courses Taught
- ECE 899: Special Readings in Electrical Engineering
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- ECE 583: Data Science
- COMPSCI 590: Advanced Topics in Computer Science
- COMPSCI 526: Data Science
- COMPSCI 394: Research Independent Study
- COMPSCI 393: Research Independent Study
- COMPSCI 391: Independent Study
- CBB 590: Special Topics in Computational Biology
- CBB 526: Data Science
In the News
- Five Decades of Creating History and Pushing Boundaries at Duke Computer Science (Nov 12, 2023 | Duke Computer Science)
- Duke Effort Aims to End Bottlenecks Preventing Secondary Use of Big Data (Jul 25, 2023 | Pratt School of Engineering)
- Duke Awards 44 Distinguished Professorships (May 4, 2023 | Duke Today)
- Spring Books from Duke Authors from Wittgenstein to Capoeira (Feb 14, 2023 | Duke Today)
- Data, Data Everywhere: Jian Pei on Equity and Efficiency in Data Science (Oct 29, 2022 | Department of Computer Science)
Representative Publications
- Cong, Z., B. Shi, S. Li, J. Yang, Q. He, and J. Pei. “FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently.” IEEE Transactions on Knowledge and Data Engineering 36, no. 4 (April 1, 2024): 1537–51. https://doi.org/10.1109/TKDE.2023.3306378.
- Zhuang, S., L. Shou, J. Pei, M. Gong, H. Ren, G. Zuccon, and D. Jiang. “Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval.” In SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 212–22, 2023. https://doi.org/10.1145/3624918.3625324.
- Wu, N., M. Gong, L. Shou, J. Pei, and D. Jiang. “RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation.” In International Conference on Information and Knowledge Management, Proceedings, 4871–78, 2023. https://doi.org/10.1145/3583780.3615498.
- Shi, H., M. A. Tayebi, J. Pei, and J. Cao. “Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information.” IEEE Transactions on Knowledge and Data Engineering 35, no. 10 (October 1, 2023): 10451–63. https://doi.org/10.1109/TKDE.2023.3240431.
- Jiang, H., H. Yu, X. Cheng, J. Pei, R. Pless, and J. Yu. “DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization.” IEEE Transactions on Knowledge and Data Engineering 35, no. 10 (October 1, 2023): 10831–44. https://doi.org/10.1109/TKDE.2023.3265605.