Mingyang Geng

According to our database, Mingyang Geng authored at least 27 papers between 2017 and 2024.

Collaborative distances:

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

2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

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

2023

Ultrathin optically transparent and flexible wideband absorber based on ANN and DGCNN.

Xiaolu Yang, Zhenguo Liu, Zhe Zhang, Wei Xiang, Mingyang Geng, Hao Chen, Xiaochun Liu, Weibing Lu

Eng. Appl. Artif. Intell., November, 2023

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.

Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao

ACM Trans. Softw. Eng. Methodol., April, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

CoRR, 2023

Natural Language to Code: How Far Are We?

Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Input Transformation for Pre-Trained-Model-Based Cross-Language Code Search.

Mingyang Geng, Dezun Dong, Pingjing Lu

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Hierarchical Semantic Graph Construction and Pooling Approach for Cross-language Code Retrieval.

Mingyang Geng, Dezun Dong, Pingjing Lu

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Treatment Effect Estimation with Adjustment Feature Selection.

Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Interpretation-based Code Summarization.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Domain Specified Optimization for Deployment Authorization.

Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Fine-grained code-comment semantic interaction analysis.

Mingyang Geng, Shangwen Wang, Dezun Dong, Shanzhi Gu, Fang Peng, Weijian Ruan, Xiangke Liao

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021

How to cherry pick the bug report for better summarization?

Haoran Liu, Yue Yu, Shanshan Li, Mingyang Geng, Xiaoguang Mao, Xiangke Liao

Empir. Softw. Eng., 2021

Attention-Based Fault-Tolerant Approach for Multi-Agent Reinforcement Learning Systems.

Shanzhi Gu, Mingyang Geng, Long Lan

Entropy, 2021

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.

Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao

CoRR, 2021

2020

Unsupervised Learning-Based Depth Estimation-Aided Visual SLAM Approach.

Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang

Circuits Syst. Signal Process., 2020

Pairwise Similarity Regularization for Adversarial Domain Adaptation.

Haotian Wang, Wenjing Yang, Ji Wang, Ruxin Wang, Long Lan, Mingyang Geng

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning.

Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Sensor Fusion-Based Cooperative Trail Following for Autonomous Multi-Robot System.

Mingyang Geng, Shuqi Liu, Zhaoxia Wu

Sensors, 2019

Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration.

Mingyang Geng, Kele Xu, Xing Zhou, Bo Ding, Huaimin Wang, Lei Zhang

Entropy, 2019

Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems.

Mingyang Geng, Kele Xu, Yiying Li, Shuqi Liu, Bo Ding, Huaimin Wang

CoRR, 2019

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach.

Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang, Lei Zhang

CoRR, 2019

Towards Deep Learning on Resource-Constrained Robots: A Crowdsourcing Approach with Model Partition.

Zhibo Huai, Bo Ding, Huaimin Wang, Mingyang Geng, Lei Zhang

Proceedings of the 2019 IEEE SmartWorld, 2019

Learning to Communicate Efficiently with Group Division in Decentralized Multi-agent Cooperation.

Shuqi Liu, Mingyang Geng, Kele Xu

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

2018

Learning data augmentation policies using augmented random search.

Mingyang Geng, Kele Xu, Bo Ding, Huaimin Wang, Lei Zhang

CoRR, 2018

Deep Learning-based Cooperative Trail Following for Multi-Robot System.

Mingyang Geng, Yiying Li, Bo Ding, Huaimin Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments.

Mingyang Geng, Xing Zhou, Bo Ding, Huaimin Wang, Lei Zhang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Manage Learning Space to Improve Learning Experience: Case Study in Beijing Normal University on Classroom Layout.

Jing Du, Xinzhu Wang, Mingyang Geng, Ronghuai Huang

Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017