Chong Geng

According to our database, Chong Geng authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Distributed Multi-Agent Reinforcement Learning on a Hierarchical Game Model for Railway Engineering Data Collaborative Edge Caching.

Yannan Wang, Zhen Liu, Chong Geng, Yidong Li, Xinyu Liu, Qiang Gao

IEEE Trans. Intell. Transp. Syst., February, 2025

Landslide Inventory Mapping in the Upper Minjiang River, Eastern Tibetan Plateau, Using Multi-Source Satellite Remote Sensing.

Chong Geng, Chong Xu, Lei Li, Huiran Gao

Trans. GIS, 2025

Dual-branch feature Reinforcement Transformer for preoperative parathyroid gland segmentation.

Lei Lyu, Chen Pang, Qinghan Yang, Kailin Liu, Chong Geng

Eng. Appl. Artif. Intell., 2025

Distributed Cloud-Edge Scheduling for Multimedia Data Requests: A MARL Approach.

Chong Geng, Zhen Liu, Yannan Wang, Yiran Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2023

DCA-Net: Dual-branch contextual-aware network for auxiliary localization and segmentation of parathyroid glands.

Qian Liu, Feng Ding, Jiyu Li, Shuxia Ji, Kailin Liu, Chong Geng, Lei Lyu

Biomed. Signal Process. Control., July, 2023

Fusing enhanced Transformer and large kernel CNN for malignant thyroid nodule segmentation.

Geng Li, Ruyue Chen, Jun Zhang, Kailin Liu, Chong Geng, Lei Lyu

Biomed. Signal Process. Control., May, 2023

2022

DMU-Net: Dual-route mirroring U-Net with mutual learning for malignant thyroid nodule segmentation.

Qinghan Yang, Chong Geng, Ruyue Chen, Chen Pang, Run Han, Lei Lyu, Yuang Zhang

Biomed. Signal Process. Control., 2022

Terahertz Beam Steering Using a MEMS-Based Reflectarray Configured by a Genetic Algorithm.

Xuan Liu, Lisa Schmitt, Benedikt Sievert, Jonas Lipka, Chong Geng, Kevin Kolpatzeck, Daniel Erni, Andreas Rennings, Jan C. Balzer, Martin Hoffmann, Andreas Czylwik

IEEE Access, 2022

2020

A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning.

Donya Fozoonmayeh, Hai Vu Le, Ekaterina Wittfoth, Chong Geng, Natalie Ha, Jingjue Wang, Maria Vasilenko, Yewon Ahn, Diane Myung-kyung Woodbridge

J. Medical Syst., 2020