Linghan Meng

According to our database, Linghan Meng authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Adaptive Multi-Robot Coordination: Integrating Improved Potential Fields with Multi-Agent Reinforcement Learning.

Qingfeng Yao, Qifeng Zhang, Qiang Li, Zhiyuan Li, Linghan Meng, Yingzhe Sun, Cong Wang

Neural Process. Lett., April, 2026

Less Is More: Feature Engineering for Fairness and Performance of Machine Learning Software.

Linghan Meng, Yanhui Li, Lin Chen, Mingliang Ma, Yuming Zhou, Baowen Xu

ACM Trans. Softw. Eng. Methodol., February, 2026

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

Haixiao Liu, Yue Hu, Lingyun Wang, Changlin Li, Dongtao Li, Linghan Meng, Guangda Zheng, Juanxia Ren, Lu Shang, Yanju Bao

Comput. Biol. Chem., 2026

2025

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts.

Yun Peng, Kisub Kim, Linghan Meng, Kui Liu

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

2024

Hybrid mutation driven testing for natural language inference.

Linghan Meng, Yanhui Li, Lin Chen, Mingliang Ma, Yuming Zhou, Baowen Xu

J. Softw. Evol. Process., October, 2024

2023

Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment.

Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin Li, Cong Wang

IEEE Robotics Autom. Lett., December, 2023

Adaptive legged manipulation: Versatile disturbance predictive control for quadruped robots with robotic arms.

Qingfeng Yao, Cong Wang, Jilong Wang, Linghan Meng, Shuyu Yang, Qifeng Zhang, Donglin Wang

Robotics Auton. Syst., September, 2023

2022

A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control.

Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Linghan Meng, Qifeng Zhang, Donglin Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Training Data Debugging for the Fairness of Machine Learning Software.

Yanhui Li, Linghan Meng, Lin Chen, Li Yu, Di Wu, Yuming Zhou, Baowen Xu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models.

Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021