Chang Liu - RankMe

29 papers A* 1B 2C 1Misc 1Journal 17Unranked 7

Year	Rank	Type	Title / 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