刘晓光，现任南开大学计算机学院、网络空间安全学院教授，博士生导师，副院长，天津市政协委员，天津市河北区政协副主席，入选教育部新世纪人才计划，曾获宝钢优秀教师奖。主要研究领域包括搜索引擎、云存储和区块链系统等。在SCI一区和CCF A类期刊和会议上发表论文四十余篇，主持14项囯家和省部级科研项目。入选2020年中国区块链创新人物60人。与百度、奇虎360、华为等企业建立了联合实验室或者科研合作项目，相关成果已经应用于企业的实际产品。(南开-百度联合实验室主页http://nbjl.nankai.edu.cn,招收学术博士、专业博士、学术硕士、专业硕士)

• Lixiao Cui, Kewen He, Yusen Li, Peng Li, Jiachen Zhang, Gang Wang, Xiaoguang Liu:SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems. IEEE Trans. Knowl. Data Eng. 35(1): 917-930 (2023)(CCF Tier A)
• Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu:An NVM SSD-Based High Performance Query Processing Framework for Search Engines. IEEE Trans. Knowl. Data Eng. 35(6): 5612-5625 (2023)(CCF Tier A)
• Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu:Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2075-2087 (2023)(CCF Tier B)
• Sinong Zhao, Zhaoyang Yua, Trent G. Marbachb, Gang Wanga, Airu Yina, Yatao Zhou, Xiaoguang Liu, MDGAD: Meta domain generalization for distribution drift in anomaly detection, Neurocomputing,Volume 550, 14 September 2023, 126483(CCF Tier B)
• Kewen He, Yujie An, Yijing Luo, Xiaoguang Liu, Gang Wang:FlatLSM: Write-Optimized LSM-Tree for PM-Based KV Stores. ACM Trans. Storage 19(2): 19:1-19:26 (2023)(CCF Tier A)
• Zhou, Hao ,Niu Zhiheng, Wang Gang, Liu Xiaoguang, Liu Dongshi,Kang Bingnan,Hu Zheng, Zhang Yongl.,Proactive Drive Failure Prediction for Cloud Storage System through Semi-supervised Learning, IEEE Transactions on Dependable and Secure Computing, 2023,doi: 10.1109/TDSC.2023.3286093
• Ruobing Chen , Haosen Shi , Jinping Wu , Yusen Li , Xiaoguang Liu , Gang Wang,Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters,ACM Transactions on Architecture and Code Optimization,Volume 20, 3,Article No.: 34,pp 1–24,doi.org/10.1145/3593055
• Ruobing Chen, Wangqi Peng, Yusen Li, Xiaoguang Liu, Gang Wang:，Orchid: An Online Learning Based Resource Partitioning Framework for Job Colocation With Multiple Objectives. IEEE Trans. Computers 72(12): 3443-3457 (2023)
• Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu:DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution. IEEE Trans. Multim. 25: 7222-7234 (2023)
• Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10051-10064 (2023)