Binhang Qi

According to our database, Binhang Qi authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Generalizing Test Cases for Comprehensive Test Scenario Coverage.

Binhang Qi, Yun Lin, Xinyi Weng, Chenyan Liu, Hailong Sun, Gordon Fraser, Jinsong Dong

CoRR, April, 2026

EditFlow: Benchmarking and Optimizing Code Edit Recommendation Systems via Reconstruction of Developer Flows.

Chenyan Liu, Yun Lin, Jiaxin Chang, Jiawei Liu, Binhang Qi, Bo Jiang, Zhiyong Huang, Jin Song Dong

CoRR, February, 2026

2025

NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models.

Xiaohan Bi, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang

CoRR, August, 2025

Intention-Driven Generation of Project-Specific Test Cases.

Binhang Qi, Yun Lin, Xinyi Weng, Yuhuan Huang, Chenyan Liu, Hailong Sun, Jin Song Dong

CoRR, July, 2025

Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction.

Chenyan Liu, Yun Lin, Yuhuan Huang, Jiaxin Chang, Binhang Qi, Bo Jiang, Zhiyong Huang, Jinsong Dong

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging.

Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao, Xiang Gao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Clustering Properties of Self-Supervised Learning.

Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Reusing Convolutional Neural Network Models through Modularization and Composition.

Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao

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

ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering.

Xiaohan Bi, Ruobing Zhao, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Modularizing while Training: A New Paradigm for Modularizing DNN Models.

Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Reusing Deep Neural Network Models through Model Re-engineering.

Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu

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

AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning.

Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization.

Binhang Qi, Hailong Sun, Wei Yuan, Hongyu Zhang, Xiangxin Meng

IEEE Trans. Reliab., 2022

Patching Weak Convolutional Neural Network Models through Modularization and Composition.

Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang

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

2020

A Low-Code Development Framework for Constructing Industrial Apps.

Jingyue Wang, Binhang Qi, Wentao Zhang, Hailong Sun

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

DependLoc: A Dependency-based Framework For Bug Localization.

Wei Yuan, Binhang Qi, Hailong Sun, Xudong Liu

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

HCIC: Hardware-Assisted Control-Flow Integrity Checking.

Jiliang Zhang, Binhang Qi, Zheng Qin, Gang Qu

IEEE Internet Things J., 2019

2018

HCIC: Hardware-assisted Control-flow Integrity Checking.

Jiliang Zhang, Binhang Qi, Gang Qu

CoRR, 2018