About me

Bio

I am currently a joint PhD student at University of Science and Technology of China(USTC) and City University of Hong Kong(CityU), advised by Prof. Qi Liu and Prof. Xiangyu Zhao . Before that, I graduated from Hefei University of Technology(HFUT), advised by Prof. Le Wu.

Research areas that I’m interested in (but not limited to) are Trustworthy Large Language Model, Retrieval-Augmented Generation and Recommender System

Education

PhD in Data Science
Department of Data Science, City University of Hong Kong (CityU HK)
Sep. 2024 – Now

Master’s in Computer Technology
School of Computer Science, University of Science and Technology of China (USTC)
Sep. 2022 – July. 2025 (expected)

Bachelor’s in Computer Science
School of Computer Science and Information Engineering, Hefei University of Technology (HFUT)
Sep. 2018 – July. 2022

Publications

Preprint

Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression
Jingyu Peng, Maolin Wang, Nan Wang, Xiangyu Zhao, Jiatong Li, Kai Zhang, Qi Liu
[PDF]

Conferences

Stepwise Reasoning Error Disruption Attack of LLMs
Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Main
[PDF]

Towards Few-shot Self-explaining Graph Neural Networks
Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang and Yunhao Sha
Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2024 (CCF-B)
[PDF]

Meta-learned ID Embeddings for Online Inductive Recommendation
Jingyu Peng, Le Wu, Peijie Sun & Meng Wang
China Conference on Information Retrieval 2021
[PDF]

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng
The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23)
[PDF]

Internship

Baidu Search

• Research on LLM industry-specific AI search, , with a particular emphasis on Retrieval-Augmented Generation (RAG) and Knowledge Distillation.

Alibaba-Inc

• Research on multimodal search algorithms for Goofish(闲鱼) platform.
• Research on holistic modeling methods for product UI in search interfaces. June. 2024 - Sep. 2024

Alipay

• Participate in the development of Ray core.
• Participate in the development of Mars.
• Study the operating efficiency of various machine learning algorithms(XGBoost, Lightgbm) on Mars & Ray June. 2021 - Aug. 2021

IFLYTEK

• Responsible for the research of Job Competency Perception Diagnosis.
• Participate in the construction of dataset. May. 2022 - Jul. 2022

Service

• PC Member: WWW 2025, ICANN 2025, CIKM 2025, ARR May 2025
• Journal Reviewer: Applied Intelligence

Competitions

U.S. Patent Phrase to Phrase Matching

• It’s my first time to participate in Kaggle competition. I got a silver medal in U.S. Patent Phrase to Phrase Matching with my teammate Zheng Gong. The solution is available. May. 2022

Optiver Trading at the Close

• Silver medal (top 2%)

Awards

Awarded as Outstanding Graduate in HFUT. June. 2022

Awarded First Class Scholarship in USTC. Sep. 2024, Sep. 2022

Miscellaneous

I love extreme sports including Motorcycle, Car Racing and Snowboarding.