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. I am also interested in AI4Med and am currently a data scientist intern (remote) at CAMCA, Harvard Medical School. My specific areas of research include:

Interpretable AI System Design: Retrieval Augmented Model Editing, Medical RAG, ChatGraph, GiGaMAE.
Explainability and its utilization: XAI Usage with LLMs, ENGAGE, Explanation of Deep Visual Neurons, XAI with Time Series.
Reliability and Safety: Black-box backdoor defense (ZIP).
Medical Foundation Models: Radiology Llama 70B Post-training (tech report).

I am actively seeking a research internship starting in Summer 2025.

UGA / Harvard | LinkedIn | Google Scholar | GitHub | CV

News

2024/11 - Our paper received Distinguished Paper Award from AMIA 2024.
2024/07 - One paper accepted by CIKM 2024.
2024/06 - One paper accepted by AMIA 2024.
2024/06 - Give one tutorial about XAI and its medical application on ICHI 2024.
2024/05 - Starting my remote internship at Harvard Medical School, advised by Dr. Xiang Li.
2024/01 - One paper accepted by TheWenConf 2024.
2023/09 - One paper accepted by NeurIPS 2023.
2022/01 - I joined the DLGA lab at the University of Georgia as a research assistant.

Selected Papers

*Equal contribution.

Interpretable AI System Design

	Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu. (CIKM), ACM International Conference on Information and Knowledge Management, 2024. [Paper] [code]
	MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering Yucheng Shi^, Shaochen Xu^, Tianze Yang^, Zhengliang Liu, Tianming Liu, Quanzheng Li, Xiang Li, Ninghao Liu. (AMIA)*, American Medical Informatics Association Annual Symposium, 2024. [Paper] [Distinguished Paper Award]
	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. [Paper] [code]
	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. [Paper] [code]

Reliability and Safety

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.
[Paper] [code]

Explainability and its utilization

	Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era Xuansheng Wu^, Haiyan Zhao^, Yaochen Zhu^, Yucheng Shi^, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu. (Preprints) [Paper] [code]
	Quantifying Multilingual Performance of Large Language Models Across Languages Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du. (Preprints) [Paper]
	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. [Paper]
	Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao^, Yucheng Shi^, Shushan Wu^, Fan Yang, Wenzhan Song, Ninghao Liu. (Preprints)* [Paper] [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. [Paper] [code]

Recommendation System

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.
[Paper] [code]

Teaching

Teaching Assistant of CSCI4380/6380 Data Mining and CSCI4370/6370 Database Management, University of Georgia, Spring 2024
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

Miscellaneous

Outside of research, I enjoy photography as a way to capture and appreciate life's small, beautiful moments. My camera helps me celebrate the everyday joys that surround us. My Flickr.