Chang Liu

29 papers A* 1B 2C 1Misc 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Computation and Communication Resource Optimization for Efficient Hierarchical Federated Learning.
IEEE Trans. Netw.
Chang Liu, Jun Zhao, Yitong Wang
2026 J jnl
Enhancing Stability and Resource Efficiency in LLM Training for Edge-Assisted Mobile Systems.
IEEE Trans. Mob. Comput.
Chang Liu, Jun Zhao
2026 J jnl
Enhancing User Experience and Energy Efficiency in Metaverse Play to Earn Games via Mobile Edge Computing.
IEEE Trans. Veh. Technol.
Chang Liu, Jun Zhao, Terence Jie Chua
2025 J jnl
A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization.
CoRR
Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu
2025 B conf
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios.
ICPP
Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu
2025 J jnl
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios.
CoRR
Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu
2025 J jnl
Resource Allocation of Federated Learning for the Metaverse With Mobile Augmented Reality.
IEEE Trans. Wirel. Commun.
Xinyu Zhou, Chang Liu, Jun Zhao
2025 J jnl
User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications.
IEEE Trans. Wirel. Commun.
Liangxin Qian, Chang Liu, Jun Zhao
2024 — conf
Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks.
VTC Spring
Yitong Wang, Chang Liu, Jun Zhao
2024 A* conf
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn.
INFOCOM
Chang Liu, Terence Jie Chua, Jun Zhao
2024 B conf
Resource Allocation for Stable LLM Training in Mobile Edge Computing.
MobiHoc
Chang Liu, Jun Zhao
2024 J jnl
Resource Allocation for Stable LLM Training in Mobile Edge Computing.
CoRR
Chang Liu, Jun Zhao
2024 — conf
Resource Allocation in Large Language Model Integrated 6G Vehicular Networks.
VTC Spring
Chang Liu, Jun Zhao
2024 J jnl
Resource Allocation in Large Language Model Integrated 6G Vehicular Networks.
CoRR
Chang Liu, Jun Zhao
2024 J jnl
User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse over 6G Wireless Communications.
CoRR
Liangxin Qian, Chang Liu, Jun Zhao
2023 J jnl
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer.
CoRR
Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao
2023 J jnl
Offloading and Quality Control for AI Generated Content Services in Edge Computing Networks.
CoRR
Yitong Wang, Chang Liu, Jun Zhao
2023 J jnl
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn.
CoRR
Chang Liu, Terence Jie Chua, Jun Zhao
2023 J jnl
Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks.
CoRR
Yitong Wang, Chang Liu, Jun Zhao
2022 C conf
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer.
BDCAT
Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao
2022 J jnl
Mobile Edge Computing for the Metaverse.
CoRR
Chang Liu, Yitong Wang, Jun Zhao
2022 J jnl
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality.
CoRR
Xinyu Zhou, Chang Liu, Jun Zhao
2022 Misc conf
Time Minimization in Hierarchical Federated Learning.
SEC
Chang Liu, Terence Jie Chua, Jun Zhao
2022 J jnl
Time Minimization in Hierarchical Federated Learning.
CoRR
Chang Liu, Terence Jie Chua, Jun Zhao
2021 — conf
Panoramic Radiographic X-Ray Image Tooth Root Segmentation Based on LeNet-5 Networks.
AMLTA
Ruiqi Shi, Chang Liu, Jiang Tao, Guoqiang Li, Kai Xiao, Zhangqian Xie, Jian Wang, Bahram Gharabaghi
2019 — conf
Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++.
QRS Companion
Su Wu, Ziheng Wang, Chang Liu, Chenming Zhu, Shaozhi Wu, Kai Xiao
2019 — conf
Regression Task on Big Data with Convolutional Neural Network.
AMLTA
Chang Liu, Ziheng Wang, Su Wu, Shaozhi Wu, Kai Xiao
2019 — conf
Reliable Automatic Organ Segmentation from CT Images using Deep CNN.
QRS Companion
Chang Liu, Shaozhi Wu, Su Wu, Ziheng Wang, Kai Xiao
2019 — conf
The Regression of MNIST Dataset Based on Convolutional Neural Network.
AMLTA
Ziheng Wang, Su Wu, Chang Liu, Shaozhi Wu, Kai Xiao