Guozhi Liu

According to our database, Guozhi Liu authored at least 26 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decentralized Federated Learning With Period Gradient Tracking Over Time-Varying Networks.

Fang Shi, Yuehong Chen, Qiong Huang, Tiansheng Huang, Guozhi Liu, Li Shen

IEEE Trans. Parallel Distributed Syst., July, 2026

Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Xiumin Wang, Li Shen

CoRR, February, 2026

Prodigal: Backdoor defense for federated learning beyond robust aggregation.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen

Knowl. Based Syst., 2026

Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services.

Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Kairos: Deterministic Scheduling Enhanced by User Collaboration for Deep Learning Workloads.

Xinhua Wang, Weiwei Lin, Ruichao Mo, Guozhi Liu, Haijie Wu, Shengjun Tang

IEEE Trans. Parallel Distributed Syst., December, 2025

Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning.

Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li

CoRR, October, 2025

AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Public Datasets for Cloud Computing: A Comprehensive Survey.

Guozhi Liu, Weiwei Lin, Haotong Zhang, Jianpeng Lin, Shaoliang Peng, Keqin Li

ACM Comput. Surv., August, 2025

Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine-Tuning via Layer-Wise Perturbation.

Guozhi Liu, Weiwei Lin, Qi Mu, Tiansheng Huang, Ruichao Mo, Yuren Tao, Li Shen

IEEE Trans. Inf. Forensics Secur., 2025

Deep-Learning-Based Real-Time Visual Detection Method for Robotic Cell Microinjection System With High Accuracy and Efficiency.

Guozhi Liu, Shengzheng Kang, Tao Li, Yifan Xu, Jie Zhou

J. Robotics, 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, Guozhi Liu

J. Frankl. Inst., 2025

Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression.

Ruichao Mo, Weiwei Lin, Guozhi Liu, Haolin Liu, Ligang He

Expert Syst. Appl., 2025

Skeleton-Based Two-Person Interaction Recognition Using Multi-Stream Feature Fusion and Joint Evaluator.

Donghui Wu, Guozhi Liu, Dasong Guan, Xiangqian Zhu, Jinfeng Wang, Jiahui Yang, Ming Guo

IEEE Access, 2025

2024

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

CoRR, 2024

2023

Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation.

Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang

World Wide Web (WWW), March, 2023

An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing.

Guozhi Liu, Fei Dai, Xiaolong Xu, Xiaodong Fu, Wanchun Dou, Neeraj Kumar, Muhammad Bilal

Future Gener. Comput. Syst., 2023

2022

Task offloading for vehicular edge computing with edge-cloud cooperation.

Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang

World Wide Web, 2022

Compatibility checking for cyber-physical systems based on microservices.

Fei Dai, Guozhi Liu, Xiaolong Xu, Qi Mo, Zhenping Qiang, Zhihong Liang

Softw. Pract. Exp., 2022

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach.

Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, Shuai Wang, LeCheng Li

J. Cloud Comput., 2022

An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism.

LeCheng Li, Fei Dai, Bi Huang, Guozhi Liu, Shuai Wang, Yuxuan Zuo

Proceedings of the IEEE Smartworld, 2022

A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing.

Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms.

Guozhi Liu, Fei Dai, Bi Huang, LeCheng Li, Shuai Wang, Zhenping Qiang

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference.

Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, LeCheng Li, Shuai Wang

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Edge Computing: A Systematic Mapping Study.

Huihui Xue, Fei Dai, Guozhi Liu, Pengfei Cao, Bi Huang

Proceedings of the IEEE Intl Conf on Dependable, 2021

A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges.

Pengfei Cao, Fei Dai, Guozhi Liu, Jinmei Yang, Bi Huang

Proceedings of the Cloud Computing - 11th EAI International Conference, 2021

2020

Microservices: architecture, container, and challenges.

Guozhi Liu, Bi Huang, Zhihong Liang, Minmin Qin, Hua Zhou, Zhang Li

Proceedings of the 20th IEEE International Conference on Software Quality, 2020