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2020 – today
- 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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