Yucheng Shi

Yucheng Shi - 史淯城

I am a third-year Ph.D. student at the University of Georgia, under the mentorship of Prof. Ninghao Liu. My research is centered around the exciting fields of Responsible AI, with a primary goal to craft interpretable deep learning models that produce reliable and verified outputs. My specific areas of research include:

Faithfulness and Reliability: Retrieved augmented model editing (ongoing), MedEdit.
Explainability and its utilization: ChatGraph, ENGAGE, Explanation of Deep Visual Neurons, Time Series Survery.
Security and Safety: Black-box backdoor defense(ZIP).
Inclusivness and Fairness: GiGaMAE.

Email / Linkedin / Google Scholar / Github / CV.

News

2024/01 - One paper accepted by TheWenConf 2024.
2023/10 - One paper accepted by AAAI 2024.
2023/09 - One paper accepted by ICDMW 2023.
2023/09 - One paper accepted by NeurIPS 2023.
2023/08 - One paper accepted by CIKM 2023.
2023/06 - One paper accepted by ECML-PKDD 2023.
2022/01 - I joined the DLGA lab at the University of Georgia as a research assistant.

Selected Publications

	Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-Start Recommendation, Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu. (WWW), The Web Conference, 2024. [arXiv]
	Automated Natural Language Explanation of Deep Visual Neurons with Large Models Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu. (AAAI Student Program), AAAI-24 Student Program, 2024. [arXiv]
	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs Yucheng Shi^, Hehuan Ma^, Wenliang Zhong^, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang. (ICDMW)*, International Workshop on Learning with Knowledge Graphs @ ICDM2023, 2023. [arXiv] [code]
	Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu. (NeurIPS), Thirty-seventh Conference on Neural Information Processing Systems, 2023. [arXiv] [code]
	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu. (CIKM), ACM International Conference on Information and Knowledge Management, 2023. [arXiv] [code]
	ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi, Kaixiong Zhou, Ninghao Liu. (ECML-PKDD), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. [arXiv] [code]

Preprints

	Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao^, Yucheng Shi^, Shushan Wu^, Fan Yang, Wenzhan Song, Ninghao Liu. (Preprints)* [arXiv] [code]
	MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases Yucheng Shi^, Shaochen Xu^, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu. (Preprints) [arXiv]

Teaching

Teaching Assistant of CSCI4380/6380 Data Mining (Two Sessions), University of Georgia, Fall 2023
Teaching Assistant of CSCI4380/6380 Data Mining, University of Georgia, Spring 2023
Teaching Assistant of CSCI4360/6360 Data Science, University of Georgia, Fall 2022