Hao Guan

According to our database, Hao Guan authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation.

Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu

CoRR, October, 2025

LLM-Powered Detection of Price Manipulation in DeFi.

Lu Liu, Wuqi Zhang, Lili Wei, Hao Guan, Yongqiang Tian, Yepang Liu

CoRR, October, 2025

CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark.

Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, July, 2025

CrossProbe: LLM-Empowered Cross-Project Bug Detection for Deep Learning Frameworks.

Hao Guan, Guangdong Bai, Yepang Liu

Proc. ACM Softw. Eng., 2025

2024

Advancing Bug Detection in Fastjson2 with Large Language Models Driven Unit Test Generation.

Zhiyuan Zhong, Sinan Wang, Hailong Wang, Shaojin Wen, Hao Guan, Yida Tao, Yepang Liu

CoRR, 2024

PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks.

Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai, Jin Song Dong

CoRR, 2024

Large Language Models Can Connect the Dots: Exploring Model Optimization Bugs with Domain Knowledge-Aware Prompts.

Hao Guan, Guangdong Bai, Yepang Liu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.

Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization.

Hao Guan, Ying Xiao, Jiaying Li, Yepang Liu, Guangdong Bai

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Formalizing Robustness Against Character-Level Perturbations for Neural Network Language Models.

Zhongkui Ma, Xinguo Feng, Zihan Wang, Shuofeng Liu, Mengyao Ma, Hao Guan, Mark Huasong Meng

Proceedings of the Formal Methods and Software Engineering, 2023