Microservices: architecture, container, and challenges. - Guozhi Liu; Bi Huang; Zhihong Liang; Minmin Qin; Hua Zhou; Zhang Li (QRS Companion, 2020)

A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges. - Pengfei Cao; Fei Dai 002; Guozhi Liu; Jinmei Yang; Bi Huang (CloudComp, 2021)

Edge Computing: A Systematic Mapping Study. - Huihui Xue; Fei Dai 002; Guozhi Liu; Pengfei Cao; Bi Huang (DASC/PiCom/CBDCom/CyberSciTech, 2021)

EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference. - Guozhi Liu; Fei Dai 002; Bi Huang; Zhenping Qiang; LeCheng Li; Shuai Wang (HPCC/DSS/SmartCity/DependSys, 2021)

Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms. - Guozhi Liu; Fei Dai 002; Bi Huang; LeCheng Li; Shuai Wang; Zhenping Qiang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. - Fei Dai 002; Guozhi Liu; Bi Huang; Xiaolong Xu 001; Chaochao Chen 001; Zhangbing Zhou; Xiaokang Zhou (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism. - LeCheng Li; Fei Dai 002; Bi Huang; Guozhi Liu; Shuai Wang; Yuxuan Zuo (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach. - Guozhi Liu; Fei Dai 002; Bi Huang; Zhenping Qiang; Shuai Wang; LeCheng Li (J. Cloud Comput., 2022)

Compatibility checking for cyber-physical systems based on microservices. - Fei Dai 002; Guozhi Liu; Xiaolong Xu 001; Qi Mo; Zhenping Qiang; Zhihong Liang (Softw. Pract. Exp., 2022)

Task offloading for vehicular edge computing with edge-cloud cooperation. - Fei Dai 002; Guozhi Liu; Qi Mo; Weiheng Xu; Bi Huang (World Wide Web, 2022)

An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing. - Guozhi Liu; Fei Dai 002; Xiaolong Xu 001; Xiaodong Fu; Wanchun Dou; Neeraj Kumar 001; Muhammad Bilal 003 (Future Gener. Comput. Syst., 2023)

Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation. - Fei Dai 002; Guozhi Liu; Qi Mo; Weiheng Xu; Bi Huang (World Wide Web (WWW), 2023)

Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation. - Guozhi Liu; Weiwei Lin; Tiansheng Huang; Ruichao Mo; Qi Mu; Li Shen 008 (CoRR, 2024)

Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression. - Ruichao Mo; Weiwei Lin 001; Guozhi Liu; Haolin Liu; Ligang He (Expert Syst. Appl., 2025)

Finite-time fractional-order sliding mode force control with time delay estimation and RBFNN compensation: Design and application to cell microinjection. - Yifan Xu; Shengzheng Kang; Tao Li 024; Guozhi Liu (J. Frankl. Inst., 2025)

Public Datasets for Cloud Computing: A Comprehensive Survey. - Guozhi Liu; Weiwei Lin 001; Haotong Zhang 003; Jianpeng Lin; Shaoliang Peng; Keqin Li 001 (ACM Comput. Surv., 2025)