School of Information Sciences

Junwei Deng

Junwei Deng headshot 2025

PhD, Information Sciences, Illinois (in progress)

MS, Information, University of Michigan

B.Eng., Electrical and Computer Engineering, Shanghai Jiao Tong University

Pronouns: he/him

Research focus

I am interested in data-centric AI (e.g., data attribution), trustworthy machine learning (e.g., robustness, fairness), responsible AI (e.g., copyright issue for generative AI), and AI toolkit development.

Field Exam Area: Data attribution in modern AI models: methods and applications

Honors and Awards

  • Shanghai Outstanding College Graduate (2020)
  • National Scholarship (2018), the highest award provided by Ministry of Education in P.R. China.

Advisor

Publications & Papers

Deng, J., Li, T. W., Zhang, S., Liu, S., Pan, Y., Huang, H., ... & Ma, J. W. (2024). dattri: A Library for Efficient Data Attribution. Advances in Neural Information Processing Systems, 37.

Dai, J. J., Ding, D., Shi, D., Huang, S., Wang, J., Qiu, X., ... Deng, J. & Song, G. (2022). Bigdl 2.0: Seamless scaling of ai pipelines from laptops to distributed cluster. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 21439-21446).

Ma, J., Deng, J., & Mei, Q. (February 2022). Adversarial attack on graph neural networks as an influence maximization problem. In Proceedings of the fifteenth ACM international conference on web search and data mining (pp. 675-685).

Ma, J., Deng, J., & Mei, Q. (2021). Subgroup generalization and fairness of graph neural networks. Advances in Neural Information Processing Systems, 34, 1048-1061.

School of Information Sciences

501 E. Daniel St.

MC-493

Champaign, IL

61820-6211

Voice: (217) 333-3280

Fax: (217) 244-3302

Email: ischool@illinois.edu

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