郑小盈，研究员，博士生导师。本科硕士毕业于浙江大学计算机系、博士毕业于美国佛罗里达大学计算机系。2014年入选中国科学院青年创新促进会会员。面向AI+科学大数据处理开展研究。主持国家重大专项子课题、中国科学院重点部署项目子课题、国家平方公里阵列射电望远镜（SKA）专项任务、国家自然科学基金2项、上海市科委项目等多项课题。发表论文60余篇，其中高水平SCI/EI 论文30余篇，申请专利超过20项，拥有近10项软件著作权登记。
1、科学数据处理
2、分布式计算
3、人工智能
1、中国科学院青年创新促进会，2014
1、国家自然科学基金面上项目，脉冲星实时相干消色散数据处理关键技术研究，项目负责人，2024-01-01 至 2027-12-31
2、科技部SKA专项，脉冲星搜寻预研-数据与计算技术研发，子课题负责人，2020-12--2025-11
3、上海市自然科学基金，数据中心复杂约束条件下资源调度高可扩展方法研究，项目负责人，2019-07 至 2022-06
4、中国科学院战略性先导科技专项，SEANET 规模试验验证评估与示范应用，参与，2019-01 至 2020-12
5、上海市科委国际合作项目，数据中心资源虚拟化管理关键技术研究，项目负责人，2014-07 至 2017-06
6、中国科学院战略性先导科技专项，未来网络现网无扰验证技术及环境研究，参与，2012-01 至 2016-12
7、中国科学院重点部署项目，面向用户行为管理的智能搜索，子课题负责人，2012-01 至2015-12
8、国家自然科学基金青年项目，内容分发网络中的P2P分群分发技术研究，项目负责人，2012-01--2014-12
[1] Yiwei Huang, Congyu Lin, Dima Bykhovsky, Tom Trigano, Zikang Chen, Xiaoying Zheng, Yongxin Zhu: Deep Learning-Based Energy Spectrum Estimation for High Counting Rate Nuclear Spectrometry. IEEE Trans. Instrum. Meas. 74: 1-14 (2025)
[2] Zikang Chen, Dima Bykhovsky, Xiaoying Zheng, Tom Trigano, Yongxin Zhu: GaSim: A python class to generate simulated time signals for gamma spectroscopy. SoftwareX 29: 102037 (2025)
[3] Congyu Lin, Zikang Chen, Chujun Feng, Songqi Gu, Xiaoying Zheng, Yongxin Zhu, Tom Trigano, Dima Bykhovsky: An Open X-Ray Spectrometric Dataset for Deep Learning-Based Pile-up Correction. WASA (3) 2025: 256-265
[4] Hang Ye, Gaoxiang Duan, Haoran Zeng, Yangxin Zhu, Lingxue Meng, Xiaoying Zheng, Yongxin Zhu: KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting. WASA (3) 2025: 266-276
[5] Chujun Feng, Ning Ni, Congyu Lin, Yongxin Zhu, Xiaoying Zheng, Hui Wang: Accelerating Elliptic Curve Digital Signature Verification on FPGA for Secure Communication. WASA (1) 2025: 358-369
[6] Duan G, Chen J, Zhou Y, Zheng X, Zhu Y. Large Language Model Inference Acceleration Based on Hybrid Model Branch Prediction. Electronics. 2024; 13(7):1376
[7] Ying Huang, Xiaoying Zheng, Yongxin Zhu: Optimized CPU-GPU collaborative acceleration of zero-knowledge proof for confidential transactions. J. Syst. Archit. 135: 102807 (2023)
[8] Xiangcong Kong, Xiaoying Zheng, Yongxin Zhu, Gaoxiang Duan, Zikang Chen: I/O-efficient GPU-based acceleration of coherent dedispersion for pulsar observation. J. Syst. Archit. 142: 102958 (2023)
[9] Gaoxiang Duan, Xiaoying Zheng, Yongxin Zhu, Tao Ren, Yan Yan: An Efficient Transformer with Distance-aware Attention. BigDataSecurity/HPSC/IDS 2023: 96-101
[10]Yueying Zhou, Xinping Ren, Xiaoying Zheng, Yongxin Zhu, Kang Xu, Shijin Song, Li Tian: Federated-Learning-based Hierarchical Diagnosis of Liver Fibrosis. SmartCloud 2022: 109-114
[11] Zikang Chen, Xiangcong Kong, Xiaoying Zheng, Yongxin Zhu, Tom Trigano: Parallel Pileup Correction for Nuclear Spectrometric Data on Many-Core Accelerators. SmartCom 2022: 258-267
[12] Xiangcong Kong, Xiaoying Zheng, Yongxin Zhu, Qinrun Zhang, Ying Huang: Custom Computing Design ａｎｄ Implementation for Multiple Dedispersion with GPU. CSCloud/EdgeCom 2021: 103-108
