基本信息
孙正雅 女 硕导 中国科学院自动化研究所
电子邮件: zhengya.sun@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号中国科学院自动化大厦
邮政编码: 100190
电子邮件: zhengya.sun@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号中国科学院自动化大厦
邮政编码: 100190
研究领域
人工智能、机器学习、时空序列预测、知识演化表示、神经符号推理
招生信息
招生专业
081104-模式识别与智能系统081203-计算机应用技术
招生方向
知识演化表示,因果网络学习,神经符号推理,时空序列预测
教育背景
2007-09--2011-07 中国科学院自动化研究所 博士2005-09--2007-07 天津大学 硕士2001-09--2005-07 天津大学 学士
工作经历
工作简历
2014-11~现在, 中国科学院自动化研究所, 副研究员2011-07~2014-10,中国科学院自动化研究所, 助理研究员
教授课程
人工智能原理与算法人工智能原理统计机器学习理论
专利与奖励
奖励信息
(1) 中国自动化学会科技进步奖, 一等奖, 省级, 2023(2) 山东省科学技术进步奖, 一等奖, 省级, 2023
专利成果
( 1 ) ENSO预测方法、装置、电子设备和存储介质, 发明专利, 2023, 第 1 作者, 专利号: CN116821673A( 2 ) 基于知识图谱的预测方法、装置和电子设备, 发明专利, 2022, 第 1 作者, 专利号: CN115114411A( 3 ) 台风强度确定方法、装置、电子设备及存储介质, 发明专利, 2022, 第 2 作者, 专利号: CN115016041A( 4 ) 基于动态通信网络的无监督异常短文本监测方法及系统, 2022, 第 3 作者, 专利号: CN112887923B( 5 ) 网络反诈骗主动巡检与预警系统, 发明专利, 2021, 第 3 作者, 专利号: CN111915468B( 6 ) 非结构化医疗文本无监督症状自动识别方法、系统、装置, 发明专利, 2020, 第 1 作者, 专利号: CN110931128A( 7 ) 基于马尔科夫逻辑网的智能交互式问答方法、系统、装置, 专利授权, 2019, 第 1 作者, 专利号: CN109902165A( 8 ) 口语化医疗问答方法及系统, 发明专利, 2019, 第 2 作者, 专利号: CN109684445A( 9 ) 面向短文本的群体性事件预警方法和系统, 发明专利, 2014, 第 1 作者, 专利号: CN104091054A( 10 ) 一种基于大规模知识库的热点事件挖掘方法, 发明专利, 2014, 第 2 作者, 专利号: CN103699663A( 11 ) 结合知识库的深层数据处理方法和系统, 发明专利, 2014, 第 2 作者, 专利号: CN103500208A
出版信息
发表论文
[1] Chuang Rui, Zhengya Sun, Wensheng Zhang, An-An Liu, Zhiqiang Wei. Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings. Frontiers in Marine Science[J]. 2024, 11: [2] Junhao Wang, Zhengya Sun, Chunxin Yuan, Wenhui Li, An-An Liu, Zhiqiang Wei, Bo Yin. Dynamic graphs attention for ocean variable forecasting. Engineering Applications of Artificial Intelligence[J]. 2024, 133: [3] Wang, Yan, Su, Yuting, Li, Wenhui, Sun, Zhengya, Wei, Zhiqiang, Nie, Jie, Li, Xuanya, Liu, AnAn. Rare-aware attention network for image-text matching. INFORMATION PROCESSING & MANAGEMENT[J]. 2023, 60(3): http://dx.doi.org/10.1016/j.ipm.2023.103280.[4] Liu, Yajing, Sun, Zhengya, Zhang, Wensheng. Improving fraud detection via hierarchical attention-based Graph Neural Network. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS[J]. 2023, 72: http://dx.doi.org/10.1016/j.jisa.2022.103399.[5] Song, Dan, Su, Xinqi, Li, Wenhui, Sun, Zhengya, Ren, Tongwei, Liu, Wen, Liu, AnAn. Spatial-temporal transformer network for multi-year ENSO prediction. FRONTIERS IN MARINE SCIENCE[J]. 2023, 10: http://dx.doi.org/10.3389/fmars.2023.1143499.[6] 刘安安, 李天宝, 宋丹, 李文辉, 孙正雅, 袁春鑫. 海洋极端天气现象预测方法研究进展. 数据采集与处理[J]. 2023, 38(2): 231-244, http://lib.cqvip.com/Qikan/Article/Detail?id=7109318797.[7] Mingda Li, Zhengya Sun, Wensheng Zhang. SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities. NEUROCOMPUTING[J]. 2022, 491: 186-196, http://dx.doi.org/10.1016/j.neucom.2022.03.063.[8] Jintong Shi, Mengxuan Sun, Zhengya Sun, Mingda Li, Yifan Gu, Wensheng Zhang. Multi-level semantic fusion network for Chinese medical named entity recognition. JOURNAL OF BIOMEDICAL INFORMATICS[J]. 2022, 133: http://dx.doi.org/10.1016/j.jbi.2022.104144.[9] Liu, AnAn, Zhang, Chenyu, Li, Wenhui, Gao, Xingyu, Sun, Zhengya, Li, Xuanya. Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2022, 32(12): 8809-8821, http://dx.doi.org/10.1109/TCSVT.2022.3191761.[10] Li, Mingda, Sun, Zhengya, Zhang, Wensheng, Liu, Wei. Leveraging semantic property for temporal knowledge graph completion. APPLIED INTELLIGENCE. 2022, [11] 聂婕, 左子杰, 黄磊, 王志刚, 孙正雅, 仲国强, 王鑫, 王玉成, 刘安安, 张弘, 董军宇, 魏志强. 面向海洋的多模态智能计算:挑战、进展和展望. 中国图象图形学报. 2022, 27(9): 2589-2610, https://d.wanfangdata.com.cn/periodical/zgtxtxxb-a202209004.[12] Xuan Gu, Zhengya Sun, Wensheng Zhang. Composition-driven symptom phrase recognition for Chinese medical consultation corpora. BMC MEDICAL INFORMATICS AND DECISION MAKING[J]. 2021, 21: [13] Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang. Enhancing knowledge graph embedding with relational constraints. NEUROCOMPUTING[J]. 2021, 429: 77-88, http://dx.doi.org/10.1016/j.neucom.2020.12.012.[14] Jinghao Niu, Yongqiang Tang, Zhengya Sun, Wensheng Zhang. Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2020, 24(5): 1321-1332, http://dx.doi.org/10.1109/JBHI.2019.2942938.[15] Zhengya Sun, ChengLin Liu, Jinghao Niu, Wensheng Zhang. Discriminative structure learning of sum-product networks for data stream classification. NEURAL NETWORKS[J]. 2020, 123: 163-175, http://dx.doi.org/10.1016/j.neunet.2019.12.002.[16] 王军平, 张文生, 王勇飞, 孙正雅. 面向大数据领域的事理认知图谱构建与推断分析. 中国科学:信息科学[J]. 2020, 50(7): 988-1002, https://www.sciengine.com/doi/10.1360/SSI-2019-0273.[17] Li, Mingda, Sun, Zhengya, Zhang, Siheng, Zhang, Wensheng, Chen, E, Antoniou, G, Wu, X, Kumar, V. Enhancing Knowledge Graph Embedding with Relational Constraints. 11TH IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH (ICKG 2020)null. 2020, 33-40, http://dx.doi.org/10.1109/ICBK50248.2020.00015.[18] Siheng Zhang, Zhengya Sun, Wensheng Zhang. Improve the translational distance models for knowledge graph embedding. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS[J]. 2020, 55(3): 445-467, http://dx.doi.org/10.1007/s10844-019-00592-7.[19] Jinghao Niu, Yehui Yang, Siheng Zhang, Zhengya Sun, Wensheng Zhang. Multi-task Character-Level Attentional Networks for Medical Concept Normalization. NEURAL PROCESSING LETTERS[J]. 2019, 49(3): 1239-1256, [20] Niu Jinghao, Sun Zhengya, Zhang Wensheng, IEEE. Enhancing Knowledge Graph Completion with Positive Unlabeled Learning. 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2018, 296-301, [21] Zhengya Sun, Yangyang Zhao, Zhuoyu Wei, Wensheng Zhang, Jue Wang. Scalable learning and inference in Markov logic networks. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING[J]. 2017, 82(82): 39-55, http://dx.doi.org/10.1016/j.ijar.2016.12.003.[22] Zhengya Sun, Yangyang Zhao, Dong Cao, Hongwei Hao. Hierarchical Multilabel Classification with Optimal Path Prediction. NEURAL PROCESSING LETTERS[J]. 2017, 45(1): 263-277, https://www.webofscience.com/wos/woscc/full-record/WOS:000394336300016.[23] Hongwei Hao, Zhengya Sun, Jiuqi Han. Structural Feature-based Event Clustering for Short Text Streams. 2016, http://ir.ia.ac.cn/handle/173211/19799.[24] Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian. Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances. CIKM2015null. 2015, http://ir.ia.ac.cn/handle/173211/11084.[25] Hongwei Hao, Yangyang Zhao, Changsheng Xu, Zhengya Sun. Seamlessly Integrating Effective Links with Attributes for Networked Data Classification. 2015, http://ir.ia.ac.cn/handle/173211/19802.[26] Jiuqi Han, Zhengya Sun, Hongwei Hao. l(0)-norm based structural sparse least square regression for feature selection. PATTERN RECOGNITION[J]. 2015, 48(12): 3927-3940, http://dx.doi.org/10.1016/j.patcog.2015.06.003.[27] Yangyang Zhao, Hongwei Hao, Changsheng Xu, Zhengya Sun. Meta-Path based Nonnegative Matrix Factorization for Clustering on Multi-type Relational Data. 2015 International Joint Conference on Neural Networks (IJCNN 2015) : Volume 3 of 5 Pages 1632-2448.null. 2015, 1731-1738, http://ir.ia.ac.cn/handle/173211/19803.[28] Jiuqi Han, Zhengya Sun, Hongwei Hao. Selecting feature subset with sparsity and low redundancy for unsupervised learning. KNOWLEDGE-BASED SYSTEMS[J]. 2015, 86: 210-223, http://dx.doi.org/10.1016/j.knosys.2015.06.008.[29] Hongwei Hao, Jue Wang, Zhuoyu Wei, Zhengya Sun. Scalable Learning for Structure in Markov Logic Networks. 2014, http://ir.ia.ac.cn/handle/173211/19805.[30] Xu Jiaming, Liu Pengcheng, Wu Gaowei, Sun Zhengya, Xu Bo, Hao Hongwei, Zhou G, Li J, Zhao D, Feng Y. A Fast Matching Method Based on Semantic Similarity for Short Texts. NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2013null. 2013, 400: 299-309, [31] Xu Jiaming, Liu Pengcheng, Wu Gaowei, Sun Zhengya, Xu Bo, Hao Hongwei. A Fast Matching Method Based on Semantic Similarity for Short Texts. NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTINGnull. 2013, http://ir.ia.ac.cn/handle/173211/10562.[32] Tao, Qing, Sun, Zhengya, Kong, Kang. Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS[J]. 2012, 42(1): 140-149, http://ir.ia.ac.cn/handle/173211/10743.[33] Zhengya Sun, Wei jin, Jue Wang. Generic subset ranking using binary classifiers. THEORETICAL COMPUTER SCIENCE[J]. 2012, 456: 89-99, http://dx.doi.org/10.1016/j.tcs.2012.05.026.[34] Jue Wang, Wei Jin, Zhengya Sun. Reducing Position-Sensitive Subset Ranking to Classification. 2011, http://ir.ia.ac.cn/handle/173211/19804.[35] Zhengya Sun, Tao Qin, Qing Tao, Jue Wang. Robust sparse rank learning for non-smooth ranking measures. SIGIRnull. 2009,
科研活动
科研项目
( 1 ) 面向大规模演化异质信息网络的未知关系学习与推理研究, 负责人, 国家任务, 2019-01--2022-12( 2 ) 非常规社会公共安全态势主动感知预警研究, 负责人, 国家任务, 2017-07--2020-06( 3 ) 基于深层网络的演化数据流分类问题研究, 负责人, 地方任务, 2017-01--2019-12( 4 ) 面向数据智能标注的弱监督与自学习方法及系统验证, 负责人, 地方任务, 2020-01--2022-12( 5 ) 健康医疗大数据类人分析推理与辅助诊疗研究, 参与, 国家任务, 2020-01--2022-12( 6 ) 中医药防治新冠研究文献实体自动抽取及运算技术研发, 负责人, 境内委托项目, 2020-11--2021-11( 7 ) 基于马尔科夫网络的故障分析和诊断技术, 参与, 境内委托项目, 2017-10--2018-10( 8 ) 一种“统计+结构”机器学习理论与方法研究, 参与, 国家任务, 2015-01--2018-12( 9 ) 跨模态大数据分析预测模型研究与知识图谱构建, 负责人, 国家任务, 2022-01--2024-12( 10 ) 中成药文献智能评价与知识图谱可视化技术研发, 负责人, 境内委托项目, 2021-11--2022-11( 11 ) 面向海洋应用的跨模态大数据智能超算模型及其算法研究, 参与, 国家任务, 2023-01--2026-12( 12 ) 海洋大数据知识演化表示与复杂问题协同推理关键技术研究, 参与, 国家任务, 2024-01--2027-12
指导学生
现指导学生
芮闯 硕士研究生 081104-模式识别与智能系统
蔡怀广 硕士研究生 081104-模式识别与智能系统
张轲俊 硕士研究生 085410-人工智能
宋超 硕士研究生 081203-计算机应用技术