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 | 姓名 | 莫瑞超 |
| 职务/职称 | 讲师 | |
| 研究方向 | 数据中心节能与绿色计算、算力能效建模与优化、服务计算、边缘计算 | |
| 联系方式 | moruichao@jsut.edu.cn |
个人简介：
莫瑞超，CCF会员，2026年毕业于华南理工大学计算机科学与技术专业，获工学博士学位，导师为林伟伟教授。近年来在CCF‑A类会议/期刊、中科院一区Top期刊等发表论文十余篇，授权国家发明专利1项。目前研究聚焦于端侧LLM推理负载的能效建模与优化问题。欢迎对端侧LLM推理、绿色计算等方向感兴趣的本科生联系我：moruichao@jsut.edu.cn。
论文发表
[1] Ruichao Mo, Weiwei Lin, Shengsheng Lin, Simon Fong, Keqin Li. NoSPF: Non‑Stationary Long‑Term Power Consumption Forecasting for Servers in Cloud Data Centers. IEEE Transactions on Computers (TC), 2026, 75(1): 101‑113. (CCF‑A类期刊，中科院2区)
[2] Ruichao Mo, Weiwei Lin, Haocheng Zhong, Minxian Xu, Keqin Li. A Cross‑Workload Power Prediction Method Based on Transfer Gaussian Process Regression in Cloud Data Centers. IEEE Transactions on Cloud Computing (TCC), 2025, 13(3): 910‑921. (CCF‑B类期刊，中科院2区)
[3] Ruichao Mo, Weiwei Lin, Guozhi Liu, Haolin Liu, Ligang He. Learning from Imbalance: Cross‑Server Power Prediction in Large Data Centers via Domain Adaptation Regression. Expert Systems with Applications (ESWA), 2025, 127845. (CCF‑C类期刊，中科院1区Top)
[4] Ruichao Mo, Weiwei Lin, Guozhi Liu, Li Mao, Xiumin Wang. FeCS: Few‑Shot Cross‑Server Power Consumption Prediction in Large‑Scale AI Clusters. Big Data Mining and Analytics. 2026, DOI: 10.26599/BDMA.2026.9020030. (中科院1区)
[5] Ruichao Mo, Xiaolong Xu, Xuyun Zhang, Lianyong Qi, Qi Liu. Computation Offloading and Resource Management for Energy and Cost Trade‑Offs with Deep Reinforcement Learning in Mobile Edge Computing. International Conference on Service‑Oriented Computing (ICSOC), 2021: 563‑577. (CCF‑B类会议，服务计算领域顶会)
[6] Ruichao Mo, Fei Dai, Qi Liu, Wancun Dou, Xiaolong Xu. Multi‑Objective Cross‑Layer Resource Scheduling for Internet of Things in Edge‑Cloud Computing. IEEE 13th International Conference on Cloud Computing (IEEE CLOUD), 2020: 345‑352. (CCF‑C类会议，云计算领域旗舰)
[7] 莫瑞超, 许小龙, 何强, 刘琦, 赵庆展. 面向车联网边缘计算的智能计算迁移研究. 应用科学学报, 2020, 38(05): 779‑791. (中文核心)
[8] Xiaolong Xu, Ruichao Mo, Xiaochun Yin, Mohammad R. Khosravi, Fahimeh Aghaei, Victor Chang, Guangshun Li. PDM: Privacy‑Aware Deployment of Machine‑Learning Applications for Industrial Cyber–Physical Cloud Systems. IEEE Transactions on Industrial Informatics (TII), 2021, 17(8): 5819‑5828. (CCF‑C类期刊，中科院1区Top)
[9] Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Xiumin Wang, Li Shen Surgery: Mitigating Harmful Fine‑Tuning for Large Language Models via Attention Sink. International Conference on Machine Learning (ICML),2026, 306:77402‑77437. (CCF‑A类会议，Spotlight paper，入选率2.2%)
[10] Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang. SegRNN: Segment Recurrent Neural Network for Long‑Term Time‑Series Forecasting. IEEE Internet of Things Journal (IoTJ), 2026, 13(5): 9861‑9871. (CCF‑C类期刊，中科院1区Top)
[11] Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong. Cyclenet: Enhancing Time Series Forecasting through Modeling Periodic Patterns. Advances in Neural Information Processing Systems (NeurIPS), 2024, 37: 106315‑106345. (CCF‑A类会议，Spotlight paper，入选率2.08%)
[12] Guozhi Liu, Weiwei Lin, Qi Mu, Tiansheng Huang, Ruichao Mo, Yuren Tao, Li Shen. Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine‑Tuning via Layer‑Wise Perturbation. IEEE Transactions on Information Forensics and Security (T‑IFS), 2025, 20: 10806‑10817. (CCF‑A类期刊，中科院1区Top)
[13] Xinhua Wang, Weiwei Lin, Ruichao Mo, Guozhi Liu, Haijie Wu, Shengjun Tang. Kairos: Deterministic Scheduling Enhanced by User Collaboration for Deep Learning Workloads. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025, 36(12): 2777‑2788. (CCF‑A类期刊，中科院2区Top)
[14] Jiechao Liang, Weiwei Lin, Yangguang Xu, Yubin Liu, Ruichao Mo, Xiaoxuan Luo. Energy‑Aware Parameter Tuning for Mixed Workloads in Cloud Server. Cluster Computing, 2024, 27(4): 4805‑4821. (中科院3区)
[15] Guokai Wu, Huabin Wang, Weiwei Lin, Ruichao Mo, Xiaoxuan Luo. FS‑DBoost: Cross‑Server Energy Efficiency and Performance Prediction in Cloud based on Transfer Regression. Cluster Computing, 2024, 27(6): 7705‑7719. (中科院3区)
专利申请
1. 授权发明专利（202410670153.0）. 知识迁移驱动的数据中心算力能效建模方法及装置. 2026.09. 林伟伟, 莫瑞超
