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ORCIDGuozhi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j13]Guozhi Liu
, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen:
Prodigal: Backdoor defense for federated learning beyond robust aggregation. Knowl. Based Syst. 333: 114903 (2026)- 2025
- [j12]Donghui Wu, Guozhi Liu, Dasong Guan, Xiangqian Zhu, Jinfeng Wang, Jiahui Yang, Ming Guo:
Skeleton-Based Two-Person Interaction Recognition Using Multi-Stream Feature Fusion and Joint Evaluator. IEEE Access 13: 192694-192710 (2025) - [j11]Guozhi Liu, Weiwei Lin, Haotong Zhang, Jianpeng Lin, Shaoliang Peng, Keqin Li:
Public Datasets for Cloud Computing: A Comprehensive Survey. ACM Comput. Surv. 57(8): 198:1-198:38 (2025) - [j10]Ruichao Mo, Weiwei Lin, Guozhi Liu, Haolin Liu, Ligang He:
Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression. Expert Syst. Appl. 287: 127845 (2025) - [j9]Yifan Xu, Shengzheng Kang, Tao Li, Guozhi Liu:
Finite-time fractional-order sliding mode force control with time delay estimation and RBFNN compensation: Design and application to cell microinjection. J. Frankl. Inst. 362(3): 107470 (2025) - [j8]Guozhi Liu, Shengzheng Kang, Tao Li, Yifan Xu, Jie Zhou:
Deep-Learning-Based Real-Time Visual Detection Method for Robotic Cell Microinjection System With High Accuracy and Efficiency. J. Robotics 2025(1) (2025) - [j7]Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen:
AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth. IEEE Trans. Neural Networks Learn. Syst. 36(9): 17199-17211 (2025) - [j6]Xinhua Wang, Weiwei Lin, Ruichao Mo, Guozhi Liu, Haijie Wu, Shengjun Tang:
Kairos: Deterministic Scheduling Enhanced by User Collaboration for Deep Learning Workloads. IEEE Trans. Parallel Distributed Syst. 36(12): 2777-2788 (2025) - [i2]Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li:
Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning. CoRR abs/2510.10085 (2025) - 2024
- [i1]Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen:
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation. CoRR abs/2410.09760 (2024) - 2023
- [j5]Guozhi Liu, Fei Dai, Xiaolong Xu, Xiaodong Fu, Wanchun Dou, Neeraj Kumar, Muhammad Bilal:
An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing. Future Gener. Comput. Syst. 140: 422-435 (2023) - [j4]Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang:
Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation. World Wide Web (WWW) 26(2): 633 (2023) - 2022
- [j3]Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, Shuai Wang, LeCheng Li:
A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach. J. Cloud Comput. 11: 68 (2022) - [j2]Fei Dai, Guozhi Liu, Xiaolong Xu, Qi Mo, Zhenping Qiang, Zhihong Liang:
Compatibility checking for cyber-physical systems based on microservices. Softw. Pract. Exp. 52(11): 2393-2410 (2022) - [j1]Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang:
Task offloading for vehicular edge computing with edge-cloud cooperation. World Wide Web 25(5): 1999-2017 (2022) - [c7]Guozhi Liu, Fei Dai, Bi Huang, LeCheng Li, Shuai Wang, Zhenping Qiang:
Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [c6]Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou:
A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 250-257 - [c5]LeCheng Li, Fei Dai, Bi Huang, Guozhi Liu, Shuai Wang, Yuxuan Zuo:
An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 2019-2025 - 2021
- [c4]Pengfei Cao, Fei Dai, Guozhi Liu, Jinmei Yang, Bi Huang:
A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges. CloudComp 2021: 17-29 - [c3]Huihui Xue, Fei Dai, Guozhi Liu, Pengfei Cao, Bi Huang:
Edge Computing: A Systematic Mapping Study. DASC/PiCom/CBDCom/CyberSciTech 2021: 507-514 - [c2]Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, LeCheng Li, Shuai Wang:
EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference. HPCC/DSS/SmartCity/DependSys 2021: 1761-1768 - 2020
- [c1]Guozhi Liu, Bi Huang, Zhihong Liang, Minmin Qin, Hua Zhou, Zhang Li:
Microservices: architecture, container, and challenges. QRS Companion 2020: 629-635
Coauthor Index
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last updated on 2026-01-05 23:40 CET by the dblp team
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