Data Mining Lab

We are actively looking for multiple self-motivated Master's and Ph.D. students, along with postdocs, to conduct research in the areas of data mining, generative AI, machine learning, natural language processing, and social computing.

Apply Here!

[12/2023] One paper accepted at Proceedings of The 2023 ACM Web Conference (WWW 2023).

Attacking Fake News Detectors via Manipulating News Social Engagement.

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu and Kai Shu.

[11/2023] One paper accepted at Empirical Methods in Natural Language Processing.

Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.

Haoran Wang, Kai Shu

[06/2023] One paper accepted at Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023).

PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.

Canyu Chen, Kai Shu.

[11/2023] Received a DHS grant through CAOE to study combating misinformation in LLM era.

[08/2023] Received a DOE grant to study machine learning surrogate modeling for distributed system simulations.

[08/2023] Received the DARPA AI Forward Scholarship.