Guozhi Liu - RankMe

25 papers A* 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services. AAAI Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin
2026	J	`jnl`	Prodigal: Backdoor defense for federated learning beyond robust aggregation. Knowl. Based Syst. Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen
2026	J	`jnl`	Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink. CoRR Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Xiumin Wang, Li Shen
2025	J	`jnl`	AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth. IEEE Trans. Neural Networks Learn. Syst. Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen
2025	J	`jnl`	Deep-Learning-Based Real-Time Visual Detection Method for Robotic Cell Microinjection System With High Accuracy and Efficiency. J. Robotics Guozhi Liu, Shengzheng Kang, Tao Li, Yifan Xu, Jie Zhou
2025	J	`jnl`	Finite-time fractional-order sliding mode force control with time delay estimation and RBFNN compensation: Design and application to cell microinjection. J. Frankl. Inst. Yifan Xu, Shengzheng Kang, Tao Li, Guozhi Liu
2025	J	`jnl`	Kairos: Deterministic Scheduling Enhanced by User Collaboration for Deep Learning Workloads. IEEE Trans. Parallel Distributed Syst. Xinhua Wang, Weiwei Lin, Ruichao Mo, Guozhi Liu, Haijie Wu, Shengjun Tang
2025	J	`jnl`	Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression. Expert Syst. Appl. Ruichao Mo, Weiwei Lin, Guozhi Liu, Haolin Liu, Ligang He
2025	J	`jnl`	Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning. CoRR Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li
2025	J	`jnl`	Public Datasets for Cloud Computing: A Comprehensive Survey. ACM Comput. Surv. Guozhi Liu, Weiwei Lin, Haotong Zhang, Jianpeng Lin, Shaoliang Peng, Keqin Li
2025	J	`jnl`	Skeleton-Based Two-Person Interaction Recognition Using Multi-Stream Feature Fusion and Joint Evaluator. IEEE Access Donghui Wu, Guozhi Liu, Dasong Guan, Xiangqian Zhu, Jinfeng Wang, Jiahui Yang, Ming Guo
2025	J	`jnl`	Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine-Tuning via Layer-Wise Perturbation. IEEE Trans. Inf. Forensics Secur. Guozhi Liu, Weiwei Lin, Qi Mu, Tiansheng Huang, Ruichao Mo, Yuren Tao, Li Shen
2024	J	`jnl`	Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation. CoRR Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen
2023	J	`jnl`	An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing. Future Gener. Comput. Syst. Guozhi Liu, Fei Dai, Xiaolong Xu, Xiaodong Fu, Wanchun Dou, Neeraj Kumar, Muhammad Bilal
2023	J	`jnl`	Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation. World Wide Web (WWW) Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang
2022	—	`conf`	A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou
2022	J	`jnl`	A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach. J. Cloud Comput. Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, Shuai Wang, LeCheng Li
2022	—	`conf`	An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta LeCheng Li, Fei Dai, Bi Huang, Guozhi Liu, Shuai Wang, Yuxuan Zuo
2022	J	`jnl`	Compatibility checking for cyber-physical systems based on microservices. Softw. Pract. Exp. Fei Dai, Guozhi Liu, Xiaolong Xu, Qi Mo, Zhenping Qiang, Zhihong Liang
2022	J	`jnl`	Task offloading for vehicular edge computing with edge-cloud cooperation. World Wide Web Fei Dai, Guozhi Liu, Qi Mo, Weiheng Xu, Bi Huang
2022	—	`conf`	Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms. DASC/PiCom/CBDCom/CyberSciTech Guozhi Liu, Fei Dai, Bi Huang, LeCheng Li, Shuai Wang, Zhenping Qiang
2021	—	`conf`	A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges. CloudComp Pengfei Cao, Fei Dai, Guozhi Liu, Jinmei Yang, Bi Huang
2021	—	`conf`	EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference. HPCC/DSS/SmartCity/DependSys Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, LeCheng Li, Shuai Wang
2021	—	`conf`	Edge Computing: A Systematic Mapping Study. DASC/PiCom/CBDCom/CyberSciTech Huihui Xue, Fei Dai, Guozhi Liu, Pengfei Cao, Bi Huang
2020	—	`conf`	Microservices: architecture, container, and challenges. QRS Companion Guozhi Liu, Bi Huang, Zhihong Liang, Minmin Qin, Hua Zhou, Zhang Li