Manage Learning Space to Improve Learning Experience: Case Study in Beijing Normal University on Classroom Layout. - Jing Du; Xinzhu Wang; Mingyang Geng; Ronghuai Huang (ICALT, 2017)

Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments. - Mingyang Geng; Xing Zhou 004; Bo Ding; Huaimin Wang; Lei Zhang 200 (ICONIP (7), 2018)

Deep Learning-based Cooperative Trail Following for Multi-Robot System. - Mingyang Geng; Yiying Li; Bo Ding; Huaimin Wang (IJCNN, 2018)

Learning data augmentation policies using augmented random search. - Mingyang Geng; Kele Xu; Bo Ding; Huaimin Wang; Lei Zhang 200 (CoRR, 2018)

Learning to Communicate Efficiently with Group Division in Decentralized Multi-agent Cooperation. - Shuqi Liu; Mingyang Geng; Kele Xu (SOSE, 2019)

Towards Deep Learning on Resource-Constrained Robots: A Crowdsourcing Approach with Model Partition. - Zhibo Huai; Bo Ding; Huaimin Wang; Mingyang Geng; Lei Zhang 200 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach. - Mingyang Geng; SuNing Shang; Bo Ding; Huaimin Wang; Pengfei Zhang 006; Lei Zhang (CoRR, 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)

Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration. - Mingyang Geng; Kele Xu; Xing Zhou 004; Bo Ding; Huaimin Wang; Lei Zhang 200 (Entropy, 2019)

Sensor Fusion-Based Cooperative Trail Following for Autonomous Multi-Robot System. - Mingyang Geng; Shuqi Liu; Zhaoxia Wu (Sensors, 2019)

Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning. - Dongzi Wang; Mingyang Geng; Bo Ding; Dawei Feng (HPCC/DSS/SmartCity, 2020)

Pairwise Similarity Regularization for Adversarial Domain Adaptation. - Haotian Wang 001; Wenjing Yang 002; Ji Wang 001; Ruxin Wang 002; Long Lan; Mingyang Geng (ACM Multimedia, 2020)

Unsupervised Learning-Based Depth Estimation-Aided Visual SLAM Approach. - Mingyang Geng; SuNing Shang; Bo Ding; Huaimin Wang; Pengfei Zhang 006 (Circuits Syst. Signal Process., 2020)

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. - Chen Zeng; Yue Yu 001; Shanshan Li 001; Xin Xia 001; Zhiming Wang; Mingyang Geng; Bailin Xiao; Wei Dong 006; Xiangke Liao (CoRR, 2021)

Attention-Based Fault-Tolerant Approach for Multi-Agent Reinforcement Learning Systems. - Shanzhi Gu; Mingyang Geng; Long Lan (Entropy, 2021)

How to cherry pick the bug report for better summarization? - Haoran Liu; Yue Yu 001; Shanshan Li 001; Mingyang Geng; Xiaoguang Mao; Xiangke Liao (Empir. Softw. Eng., 2021)

Fine-grained code-comment semantic interaction analysis. - Mingyang Geng; Shangwen Wang; Dezun Dong; Shanzhi Gu; Fang Peng; Weijian Ruan; Xiangke Liao (ICPC, 2022)

Domain Specified Optimization for Deployment Authorization. - Haotian Wang 001; Haoang Chi; Wenjing Yang 002; Zhipeng Lin; Mingyang Geng; Long Lan; Jing Zhang 037; Dacheng Tao (ICCV, 2023)

Interpretation-based Code Summarization. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Shaomeng Cao; Kechi Zhang; Zhi Jin (ICPC, 2023)

Treatment Effect Estimation with Adjustment Feature Selection. - Haotian Wang 001; Kun Kuang; Haoang Chi; Longqi Yang; Mingyang Geng; Wanrong Huang; Wenjing Yang 002 (KDD, 2023)

Hierarchical Semantic Graph Construction and Pooling Approach for Cross-language Code Retrieval. - Mingyang Geng; Dezun Dong; Pingjing Lu (QRS Companion, 2023)

Input Transformation for Pre-Trained-Model-Based Cross-Language Code Search. - Mingyang Geng; Dezun Dong; Pingjing Lu (QRS Companion, 2023)

Natural Language to Code: How Far Are We? - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (ESEC/SIGSOFT FSE, 2023)

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (CoRR, 2023)

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. - Chen Zeng; Yue Yu 001; Shanshan Li 001; Xin Xia 001; Zhiming Wang; Mingyang Geng; Linxiao Bai; Wei Dong 006; Xiangke Liao (ACM Trans. Softw. Eng. Methodol., 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., 2023)

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. - Zhipeng Lin; Wenjing Yang 002; Long Lan; Mingyang Geng; Haotian Wang 001; Haoang Chi; Xueqiong Li; Ji Wang 001 (ICASSP, 2024)

Fabric-Based Absorber for Wearable RF Wireless Energy Harvesting. - Mingyang Geng; Hao Chen; Jun-Lin Zhan; Lu Ju; Zhen-Guo Liu; Wei-Bing Lu (ICECET, 2024)

Stretchable and Miniaturized Backscatter Antenna Based on Serpentine Metallic Structures and PDMS-BaTiO3 Composite. - Lu Ju; Bu-Yun Yu; Mingyang Geng; Wei-Bing Lu (ICECET, 2024)

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (ICSE, 2024)

Using unmanned aerial vehicle acquired RGB images and Density-Cluster-Count model for tree-level apple flower quantification. - Yuying Shang; Mingyang Geng; Hongyuan Fang; Min Cai; Jiachen Wang; Huaibo Song (Comput. Electron. Agric., 2024)

Fusing Code Searchers. - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (IEEE Trans. Software Eng., 2024)

A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. - Zhipeng Liu; Peibo Duan; Mingyang Geng; Bin Zhang 001 (ICASSP, 2025)

Using improved density peak clustering algorithm for flower cluster identification and apple central and peripheral flower detection. - Mingyang Geng; Yuying Shang; Shiyu Xiang; Jiachen Wang; Lei Wang; Huaibo Song (Comput. Electron. Agric., 2025)

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning. - Ruotong Geng; Mingyang Geng; Shangwen Wang; Haotian Wang 001; Zhipeng Lin; Dezun Dong (CoRR, 2025)