About me

Hi! I’m Xueqi Cheng, a Ph.D. student in Computer Science at Florida State University, advised by Dr. Yushun Dong in the Responsible AI (RAI) Lab. I am passionate about data mining, machine learning, with emphasis on knowledge extraction, network analysis, and the development of secure, efficient, and serviceable ML systems. Feel free to email me if we have aligned interests, and I’m open to collaborations.

News

[06/2025] Our paper MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models is now online!
[06/2025] Joined AT&T Lab as a research intern working on improving the serviceability of LLM!
[05/2025] Awarded Dean’s Doctoral Student Award @ Florida State University!
[05/2025] Our paper BTS: A Comprehensive Benchmark for Tie Strength Prediction is accepted at KDD’25 Oral!
[02/2025] Our new survey Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey is now online!
[11/2024] Our paper Edge-Centric Network Analytics is accepted at WSDM’25 Doctoral Consortium!
[10/2024] Our paper A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions is now online!
[10/2024] Our paper Edge Classification on Graphs: New Directions in Topological Imbalance is accepted at WSDM’25!
[08/2024] Our paper A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is accepted at IEEE TKDE!
[06/2024] Our preprint Edge Classification on Graphs: New Directions in Topological Imbalance is now online!
[04/2024] Our paper Fairness and Diversity in Recommender Systems: A Survey is accepted at ACM TIST!
[01/2024] Our paper A Topological Perspective on Demystifying GNN-Based Link Prediction Performance is accepted at ICLR’24!
[11/2023] Invited to serve as the publicity chair of The 5th International Workshop on Machine Learning on Graphs (MLoG) at WSDM’24!
[10/2023] Our preprint A Topological Perspective on Demystifying GNN-Based Link Prediction Performance is now online!
[08/2023] Our preprint A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is now online!
[08/2023] Invited to serve as a PC member for the IEEE workshop BigData CTA3 2023!
[08/2023] Awarded Engineering Graduate Fellowship @ Vanderbilt University!
[07/2023] Our preprint Fairness and Diversity in Recommender Systems: A Survey is now online!
[05/2023] Excited to join NDS Lab supervised by Dr. Derr!