Yifan Zhang

According to our database, Yifan Zhang authored at least 22 papers between 2021 and 2025.

Collaborative distances:

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

2025

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.

Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang

CoRR, August, 2025

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement.

Yueke Zhang, Yifan Zhang, Kevin Leach, Yu Huang

CoRR, August, 2025

Leveraging Human Insights for Enhanced LLM-based Code Repair.

Yifan Zhang, Kevin Leach

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Training Large Language Models to Comprehend LLVM IR via Feedback-Driven Optimization.

Yifan Zhang, Kevin Leach

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Enhancing Code LLM Training with Programmer Attention.

Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models.

Yifan Zhang, Xue Yang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation.

Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.

Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach

Proceedings of the 10th IEEE European Symposium on Security and Privacy, 2025

ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming.

Xinwei Yang, Zhaofeng Liu, Chen Huang, Jiashuai Zhang, Tong Zhang, Yifan Zhang, Wenqiang Lei

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.

Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang

ACM Trans. Softw. Eng. Methodol., September, 2024

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang

Proc. ACM Softw. Eng., 2024

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.

Eric Li, Yifan Zhang, Yu Huang, Kevin Leach

CoRR, 2024

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem.

Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv

Proceedings of the ACM on Web Conference 2024, 2024

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.

Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

2023

SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images.

Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski

IEEE Trans. Medical Imaging, December, 2023

Pre-Training Representations of Binary Code Using Contrastive Learning.

Yifan Zhang

Dataset, August, 2023

Modeling Programmer Attention as Scanpath Prediction.

Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.

Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang

CoRR, 2022

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.

Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang

CoRR, 2022

Lightweight Transformer Backbone for Medical Object Detection.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

Proceedings of the Cancer Prevention Through Early Detection, 2022

Leveraging Artificial Intelligence on Binary Code Comprehension.

Yifan Zhang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

CoRR, 2021