Blockchain-Powered Service Migration for Uncertainty-Aware Workflows in Edge Computing. - Xiaolong Xu 001; Qingfan Geng; Hao Cao; Ruichao Mo; Shaohua Wan 001; Lianyong Qi; Hao Wang 003 (DependSys, 2019)

Trust-Aware Resource Provisioning for Meteorological Workflow in Cloud. - Ruichao Mo; Lianyong Qi; Zhanyang Xu; Xiaolong Xu 001 (SmartCom, 2019)

Multi-objective Cross-layer Resource Scheduling for Internet of Things in Edge-Cloud Computing. - Ruichao Mo; Fei Dai 002; Qi Liu 001; Wanchun Dou; Xiaolong Xu 001 (CLOUD, 2020)

Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud. - Xiaolong Xu 001; Ruichao Mo; Fei Dai 002; Wenmin Lin; Shaohua Wan 001; Wanchun Dou (IEEE Trans. Ind. Informatics, 2020)

Computation Offloading and Resource Management for Energy and Cost Trade-Offs with Deep Reinforcement Learning in Mobile Edge Computing. - Ruichao Mo; Xiaolong Xu 001; Xuyun Zhang; Lianyong Qi; Qi Liu 001 (ICSOC, 2021)

Blockchain-Enabled HMM Model for Sports Performance Prediction. - Ping Cao; Guoqing Zhu; Qingguo Zhang; Fan Wang 020; Yuwen Liu; Ruichao Mo (IEEE Access, 2021)

Privacy-Aware Real Estate Recommendation in Cloud for Elderly Care Based on Historical Consumption Behaviors. - Yu Li; Yulan Zhang; Wanli Huang; Xiumei Zhang; Ruichao Mo; Jia Song (IEEE Access, 2021)

PDM: Privacy-Aware Deployment of Machine-Learning Applications for Industrial Cyber-Physical Cloud Systems. - Xiaolong Xu 001; Ruichao Mo; Xiaochun Yin; Mohammad Reza Khosravi; Fahimeh Aghaei; Victor Chang 001; Guangshun Li (IEEE Trans. Ind. Informatics, 2021)

Optimization of the Pedestrian and Vehicle Detection Model based on Cloud-Edge Collaboration. - Huabin Wang; Yuping Chen; Bo Liu; Ruichao Mo; Weiwei Lin 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Feiyu Zhao; Ruichao Mo; Haotong Zhang 003 (CoRR, 2023)

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns. - Shengsheng Lin; Weiwei Lin 001; Xinyi Hu; Wentai Wu; Ruichao Mo; Haocheng Zhong (NeurIPS, 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 008 (CoRR, 2024)

Energy-aware parameter tuning for mixed workloads in cloud server. - Jiechao Liang; Weiwei Lin 001; Yangguang Xu; Yubin Liu; Ruichao Mo; Xiaoxuan Luo (Clust. Comput., 2024)

Multi-objective resource allocation in mobile edge computing using PAES for Internet of Things. - Qi Liu 001; Ruichao Mo; Xiaolong Xu 001; Xu Ma (Wirel. Networks, 2024)

FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression. - Guokai Wu; Huabin Wang; Weiwei Lin 001; Ruichao Mo; Xiaoxuan Luo (Clust. Comput., 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)