Jian Pei

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

Representative Publications

  • Zhang, J., R. Xue, W. Fan, X. Xu, Q. Li, J. Pei, and X. Liu. “Linear-Time Graph Neural Networks for Scalable Recommendations.” In WWW 2024 - Proceedings of the ACM Web Conference, 3533–44, 2024. https://doi.org/10.1145/3589334.3645486.
  • 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.
  • Xing, N., S. Cai, G. Chen, Z. Luo, B. Chin Ooi, and J. Pei. “Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems.” In Proceedings of the VLDB Endowment, 17:1020–33, 2024. https://doi.org/10.14778/3641204.3641212.
  • 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.