Yifan Zhang

31 papers A* 3A 3Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models.
NAACL (Industry Track)
Yifan Zhang, Xue Yang
2025 J jnl
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models.
CoRR
Yifan Zhang, Xue Yang
2025 J jnl
CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement.
CoRR
Yueke Zhang, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences.
CoRR
Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang
2025 — conf
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming.
ACL (1)
Xinwei Yang, Zhaofeng Liu, Chen Huang, Jiashuai Zhang, Tong Zhang, Yifan Zhang, Wenqiang Lei
2025 J jnl
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming.
CoRR
Xinwei Yang, Zhaofeng Liu, Chen Huang, Jiashuai Zhang, Tong Zhang, Yifan Zhang, Wenqiang Lei
2025 — conf
Enhancing Code LLM Training with Programmer Attention.
SIGSOFT FSE Companion
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 J jnl
Enhancing Code LLM Training with Programmer Attention.
CoRR
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 J jnl
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2025 — conf
Leveraging Human Insights for Enhanced LLM-based Code Repair.
SIGSOFT FSE Companion
Yifan Zhang, Kevin Leach
2025 A conf
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
EuroS&P
Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach
2025 A conf
Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation.
ICPC
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation.
CoRR
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Pre-Training Representations of Binary Code Using Contrastive Learning.
Trans. Mach. Learn. Res.
Yifan Zhang, Chen Huang, Yueke Zhang, Huajie Shao, Kevin Leach, Yu Huang
2025 — conf
Training Large Language Models to Comprehend LLVM IR via Feedback-Driven Optimization.
SIGSOFT FSE Companion
Yifan Zhang, Kevin Leach
2024 J jnl
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.
ACM Trans. Softw. Eng. Methodol.
Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2024 A* conf
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem.
WWW
Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv
2024 J jnl
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem.
CoRR
Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv
2024 A conf
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
ICPC
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
CoRR
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
CoRR
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng.
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
CoRR
Eric Li, Yifan Zhang, Yu Huang, Kevin Leach
2023 A* conf
Modeling Programmer Attention as Scanpath Prediction.
ASE
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Modeling Programmer Attention as Scanpath Prediction.
CoRR
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images.
IEEE Trans. Medical Imaging
Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski
2022 J jnl
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.
CoRR
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang
2022 J jnl
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
2022 A* conf
Leveraging Artificial Intelligence on Binary Code Comprehension.
ASE
Yifan Zhang
2022 — conf
Lightweight Transformer Backbone for Medical Object Detection.
CaPTion@MICCAI
Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
2021 J jnl
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection.
CoRR
Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski