Chang Liu

According to our database, Chang Liu authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

Enhancing User Experience and Energy Efficiency in Metaverse Play to Earn Games via Mobile Edge Computing.

Chang Liu, Jun Zhao, Terence Jie Chua

IEEE Trans. Veh. Technol., February, 2026

Enhancing Stability and Resource Efficiency in LLM Training for Edge-Assisted Mobile Systems.

Chang Liu, Jun Zhao

IEEE Trans. Mob. Comput., January, 2026

Computation and Communication Resource Optimization for Efficient Hierarchical Federated Learning.

Chang Liu, Jun Zhao, Yitong Wang

IEEE Trans. Netw., 2026

Novel Transform-Based Optimization for Resource Allocation and Task Offloading in Communication Networks.

Yitong Wang, Jun Zhao, Liangxin Qian, Chang Liu

IEEE Trans. Commun., 2026

2025

A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization.

Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu

CoRR, November, 2025

Resource Allocation of Federated Learning for the Metaverse With Mobile Augmented Reality.

Xinyu Zhou, Chang Liu, Jun Zhao

IEEE Trans. Wirel. Commun., August, 2025

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications.

Liangxin Qian, Chang Liu, Jun Zhao

IEEE Trans. Wirel. Commun., January, 2025

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios.

Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu

Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks.

Yitong Wang, Chang Liu, Jun Zhao

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks.

Chang Liu, Jun Zhao

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Resource Allocation for Stable LLM Training in Mobile Edge Computing.

Chang Liu, Jun Zhao

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Optimization for the Metaverse over Mobile Edge Computing with Play to Earn.

Chang Liu, Terence Jie Chua, Jun Zhao

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Offloading and Quality Control for AI Generated Content Services in Edge Computing Networks.

Yitong Wang, Chang Liu, Jun Zhao

CoRR, 2023

Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks.

Yitong Wang, Chang Liu, Jun Zhao

CoRR, 2023

2022

Mobile Edge Computing for the Metaverse.

Chang Liu, Yitong Wang, Jun Zhao

CoRR, 2022

Time Minimization in Hierarchical Federated Learning.

Chang Liu, Terence Jie Chua, Jun Zhao

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer.

Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Panoramic Radiographic X-Ray Image Tooth Root Segmentation Based on LeNet-5 Networks.

Ruiqi Shi, Chang Liu, Jiang Tao, Guoqiang Li, Kai Xiao, Zhangqian Xie, Jian Wang, Bahram Gharabaghi

Proceedings of the Advanced Machine Learning Technologies and Applications, 2021

2019

Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++.

Su Wu, Ziheng Wang, Chang Liu, Chenming Zhu, Shaozhi Wu, Kai Xiao

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Reliable Automatic Organ Segmentation from CT Images using Deep CNN.

Chang Liu, Shaozhi Wu, Su Wu, Ziheng Wang, Kai Xiao

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

The Regression of MNIST Dataset Based on Convolutional Neural Network.

Ziheng Wang, Su Wu, Chang Liu, Shaozhi Wu, Kai Xiao

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

Regression Task on Big Data with Convolutional Neural Network.

Chang Liu, Ziheng Wang, Su Wu, Shaozhi Wu, Kai Xiao

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019