曹亚男-中国科学院大学-UCAS


本站和网页 http://people.ucas.ac.cn/~0046013 的作者无关,不对其内容负责。快照谨为网络故障时之索引,不代表被搜索网站的即时页面。

曹亚男-中国科学院大学-UCAS
[中文]
[English]
教育背景
工作经历
教授课程
专利与奖励
出版信息
科研活动
组内毕业生去向
学生获奖情况
获奖情况
基本信息
曹亚男 女 研究员 博导 中国科学院信息工程研究所电子邮件: caoyanan@iie.ac.cn通信地址: 北京市海淀区闵庄路89号中国科学院信息工程研究所知乎专栏:ASCII LAB的知识分享课题组主页:https://ascii-iie.github.io/个人简介:研究方向为自然语言处理、社交网络分析、机器学习,具体研究领域包括知识图谱构建与推理、文本生成、图神经网络等。入选2016年度中国科学院信息工程研究所青年之星;获2017年度百度之星开发者大赛第一名;入选2018年度中国科学院青年创新促进会;获2019年度OAG-WHOISWHO大赛第三名;获2020年度PAKDD最佳论文奖;2021年任信工所青促会小组副组长。迄今在包括WWW、AAAI、ICDM、CIKM等CCF-A/B类会议和期刊上发表30余篇学术论文,累计发表EI和SCI检索论文70余篇,论文引用量上千次。连续多年任ACL、AAAI、EMNLP、CIKM程序委员会委员,IJCAI高级程序委员会委员,是TKDE、TIS、FCS、《计算机学报》、《中文信息学报》等国内外学术刊物的审稿人,担任国家自然科学基金和北京市自然科学基金评审专家。先后主持和参与多项国家自然科学基金、国家重点研发计划项目、中科院先导专项等项目,具有丰富的科研经验和项目经验。 在国科大开设研究生课程《深度学习与自然语言处理》、《自然语言处理实战》,深受学生喜爱和好评。
招生信息
招生专业
083900-网络空间安全
招生方向
自然语言处理社会计算机器学习
教育背景
2006-09--2012-07 中国科学院计算技术研究所 博士2002-09--2006-07 山东大学计算机科学与技术学院 学士
工作经历
工作简历
2020-10~现在, 中国科学院信息工程研究所, 研究员2015-10~2020-10,中国科学院信息工程研究所, 副研究员2012-07~2015-10,中国科学院信息工程研究所, 助理研究员(副研究员)
社会兼职
2022-07-03-今,中国指挥控制学会开源信息融合专委会委员, 委员2022-07-01-今,中国指挥控制学会网络空间测绘专委会, 委员2022-06-20-今,COLING-2022, Area Chair2022-01-01-2022-04-30,ACL-2022, Area Chair2021-05-19-今,中文信息学会青年工作委员会, 委员2019-11-07-2019-11-12,CIKM 2019, Session Chair2019-08-20-今,中国计算机学会YOCSEF, 委员2019-07-31-今,CCF YOCSEF, 委员2016-01-31-今,中文信息学报, 审稿人2015-12-31-今,计算机学报, 审稿人
教授课程
深度学习与自然语言处理
专利与奖励
专利成果
[1] 曹聪, 张路, 刘燕兵, 曹亚男, 谭建龙, 郭莉. 一种基于支持向量机的面向智能专家推荐的用户画像方法.&nbspCN:&nbspCN111597330A,&nbsp2020-08-28.[2] 曹聪, 张路, 刘燕兵, 曹亚男, 谭建龙, 郭莉. 一种基于卷积神经网络的面向智能专家推荐的用户画像方法.&nbspCN:&nbspCN111581368A,&nbsp2020-08-25.[3] 李扬曦, 佟玲玲, 井雅琪, 曹亚男, 任博雅, 胡燕林, 时磊, 段东圣, 刘权. 一种基于多特征融合的社交群体分类方法及系统.&nbspCN:&nbspCN110879856A,&nbsp2020-03-13.[4] 曹亚男, 徐灏, 尚燕敏, 刘燕兵, 谭建龙, 郭莉. 一种基于图文融合的生成式摘要生成方法.&nbspCN:&nbspCN110704606A,&nbsp2020-01-17.[5] 曹亚男, 徐灏, 尚燕敏, 刘燕兵, 谭建龙, 郭莉. 一种用于生成式摘要的评估方法及排序网络.&nbspCN:&nbspCN110688479A,&nbsp2020-01-14.[6] 曹亚男, 徐灏, 尚燕敏, 刘燕兵, 谭建龙, 郭莉. 一种基于生成对抗网络的中文摘要生成方法和装置.&nbspCN:&nbspCN109766432A,&nbsp2019-05-17.[7] 朱梓豪, 周川, 曹亚男, 张鹏, 刘萍, 郭莉. 一种基于图卷积网络的图可视化方法.&nbspCN:&nbspCN109753589A,&nbsp2019-05-14.[8] 曹聪, 谢洁, 刘燕兵, 曹亚男, 谭建龙, 郭莉. 一种基于文本分类的中文表格列标签恢复方法和系统.&nbspCN:&nbspCN109710725A,&nbsp2019-05-03.[9] 曹亚男, 李晓雪, 尚燕敏, 刘燕兵, 谭建龙, 郭莉. 一种基于卷积神经网络的用户属性推断方法和装置.&nbspCN:&nbspCN108492200A,&nbsp2018-09-04.[10] 敖吉, 牛温佳, 曹亚男, 张鹏, 乔治, 谭建龙, 郭莉. 一种微博热点事件的地理位置发现方法.&nbspCN:&nbspCN105630884A,&nbsp2016-06-01.[11] 马云龙, 张鹏, 曹亚男, 翟立东, 杜跃进. 一种基于自动编码机的分布式离群点检测方法及系统.&nbspCN:&nbspCN104008420A,&nbsp2014-08-27.[12] 李凌云, 张鹏, 曹亚男, 乔治, 敖吉, 谭建龙, 郭莉. 一种基于微博的事件实时监测方法及系统.&nbspCN:&nbspCN103955505A,&nbsp2014-07-30.
出版信息
发表论文
[1] 王晗炜, 李丕绩, 曹亚男, 贾瑞鹏, 王海龙, 李阳春. Decoupled Extractive Summarization as Graph Nodes Pruning. IJCNNnull. 2022, [2] Si, Qingyi, Liu, Yuanxin, Meng, Fandong, Lin, Zheng, Fu, Peng, Cao, Yanan, Wang, Weiping, Zhou, Jie. Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP-Findingsnull. 2022, http://arxiv.org/abs/2210.04563.[3] 谭宇彤, 林政, 付鹏, 王岚睿, 曹亚男, 王伟平. Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset. ACM MMnull. 2022, [4] Li, Ren, Cao, Yanan, Zhu, Qiannan, Bi, Guanqun, Fang, Fang, Liu, Yi, Li, Qian. How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAInull. 2022, http://arxiv.org/abs/2109.11800.[5] 周玉晨, 曹亚男, 尚燕敏, 周川, 潘石瑞, 林政, 李倩. Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. TOIS[J]. 2022, [6] 王青悦, 曹亚男, 李丕绩, 傅延赫, 林政, 郭莉. Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking. COLINGnull. 2022, [7] 石逢钊, 曹亚男, 尚燕敏, 周玉晨, 周川, 吴佳. H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. WWWnull. 2022, https://dl.acm.org/doi/10.1145/3485447.3512195.[8] Ruipeng Jia, Xingxing Zhang, 曹亚男, Shi Wang, Zheng Lin, Furu Wei. Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization.. ACLnull. 2022, [9] 任昱冰, 曹亚男, 方芳, 郭平, 马伟, 林政, 刘益. CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. COLINGnull. 2022, [10] Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li. Task-level Relations Modelling for Graph Meta-learning. 2022 IEEE International Conference on Data Mining (ICDM-22)null. 2022, [11] Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu. API-GNN: Attribute Preserving Oriented Interactive Graph Neural Network. WWWJ[J]. 2022, [12] Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu. Semantics-Guided Disentangled Learning for Recommendation. PAKDDnull. 2022, [13] Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou. Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACLnull. 2022, [14] 刘源鑫, 孟凡东, 林政, 李江楠, 付鹏, 曹亚男, 王伟平, 周杰. A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPSnull. 2022, http://arxiv.org/abs/2210.05211.[15] Si, Qingyi, Meng, Fandong, Zheng, Mingyu, Lin, Zheng, Liu, Yuanxin, Fu, Peng, Cao, Yanan, Wang, Weiping, Zhou, Jie. Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP-Findingsnull. 2022, http://arxiv.org/abs/2210.04692.[16] 李江楠, 孟凡东, 林政, 刘睿, 付鹏, 曹亚男, 王伟平, 周杰. Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. IJCAInull. 2022, [17] Tang, Hengzhu, Cao, Yanan, Zhang, Zhenyu, Jia, Ruipeng, Fang, Fang, Wang, Shi, IEEE. MULTI-GRANULARITY HETEROGENEOUS GRAPH FOR DOCUMENT-LEVEL RELATION EXTRACTION. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)null. 2021, 7683-7687, [18] Kang, Zhezhou, Cao, Yanan, Shang, Yanmin, Liang, Tao, Tang, Hengzhu, Tong, Lingling, Karlapalem, K, Cheng, H, Ramakrishnan, N, Agrawal, RK, Reddy, PK, Srivastava, J, Chakraborty, T. Fake News Detection with Heterogenous Deep Graph Convolutional Network. PAKDD[J]. 2021, 12712: 408-420, [19] Lin, Xixun, Wu, Jia, Zhou, Chuan, Pan, Shirui, Cao, Yanan, Wang, Bin. Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021null. 2021, http://arxiv.org/abs/2103.06137.[20] Li, Xiaoxue, Cao, Yanan, Li, Qian, Shang, Yanmin, Li, Yangxi, Liu, Yanbing, Xu, Guandong. RLINK: Deep reinforcement learning for user identity linkage. WWWJ[J]. 2021, 24(1):&nbsp85-103, https://www.webofscience.com/wos/woscc/full-record/WOS:000557222400001.[21] 资康莉, 王石, Yanan Cao, Yu Liu, Jicun Li, Cungen Cao. SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. EMNLPnull. 2021, [22] Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbin Liu, Can Ma. Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. International Conference on Computational Sciencenull. 2021, [23] Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang. Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences?. AAAI[J]. 2021, [24] Zheng Fang, Yanan Cao, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu. TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. EMNLP[J]. 2021, [25] 唐钰葆, 李哲舟, 曹聪, 方芳, 曹亚男, 刘燕兵. Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. The 14th International Conference on Knowledge Science, Engineering and Management (KSEM)null. 2021, [26] Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang. Deep Differential Amplifier for Extractive Summarization. ACL[J]. 2021, [27] Zhu, Shichao, Pan, Shirui, Zhou, Chuan, Wu, Jia, Cao, Yanan, Wang, Bin. Graph Geometry Interaction Learning. NeurIPS[J]. 2020, http://arxiv.org/abs/2010.12135.[28] Li, Jinpeng, Zhang, Chuang, Chen, Xiaojun, Cao, Yanan, Jia, Ruipeng, IEEE. Improving Abstractive Summarization with Iterative Representation. IJCNN[J]. 2020, [29] Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu. Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network. AAAI[J]. 2020, [30] Yanbing Liu. High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. The Web Conference (WWW). 2020, [31] 尚燕敏, 曹亚男, 刘燕兵. 基于异构社交网络信息和内容信息的事件推荐. 软件学报[J]. 2020, 31(4):&nbsp1212-1224, http://lib.cqvip.com/Qikan/Article/Detail?id=7101493137.[32] Shaokang Zhang, Huailiang Peng, Yanan Cao, Lei Jiang, Qiong Dai, Jianlong Tan. Category-Level Adversarial Network for Cross-Domain Sentiment Classification. KSEM 2020null. 2020, [33] Yanan Cao. Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP. 2020, [34] Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin. HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (Best Paper)[J]. 2020, 12084: 197-209, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206265/.[35] 尚燕敏, 曹亚男, 刘燕兵. 基于异构社交网络信息和内容信息的事件推荐方法. 软件学报[J]. 2020, [36] 周玉晨, 尚燕敏, 曹亚男, 刘燕兵, 谭建龙. UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. KSEM[J]. 2019, [37] Fang Zheng, Cao Yanan, Zhang Dongjie, Li Qian, Zhang Zhenyu, Liu Yanbing, Assoc Comp Machinery. Joint Entity Linking with Deep Reinforcement Learning. WWW[J]. 2019, 438-447, http://dx.doi.org/10.1145/3308558.3313517.[38] Shang Yanmin, Kang Zhezhou, Cao Yanan, Zhang Dongjie, Li Yangxi, Li Yang, Liu Yanbing, IEEE. PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. ICME[J]. 2019, 682-687, [39] Li, Jinpeng, Zhang, Chuang, Chen, Xiaojun, Cao, Yanan, Liao, Pengcheng, Zhang, Peng, IEEE. Abstractive Text Summarization with Multi-Head Attention. IJCNN[J]. 2019, [40] 尚燕敏, 曹亚男, 韩毅, 李阳, 张闯. 基于主题和大众影响的用户动态行为倾向预测. 计算机学报[J]. 2018, 41(7):&nbsp1431-1447, http://lib.cqvip.com/Qikan/Article/Detail?id=7000685948.[41] Yanbing Liu. Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. ICANN. 2018, [42] 郭莉, 曹亚男, 苏马婧, 尚燕敏, 朱宇佳, 张鹏, 周川. 网络空间资源测绘:概念与技术. 信息安全学报[J]. 2018, 3(4):&nbsp1-14, http://lib.cqvip.com/Qikan/Article/Detail?id=676127786.[43] Yanan Cao. A Sequence learning Model for Chinese Named Entity Recognition. KSEM. 2018, [44] Kang, Zhezhou, Li, Xiaoxue, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Guo, Li, Kurkova, V, Manolopoulos, Y, Hammer, B, Iliadis, L, Maglogiannis, I. Hierarchical Attention Networks for User Profile Inference in Social Media Systems. ICANN 2018[J]. 2018, 11141: 805-816, [45] Xu, Hao, Cao, Yanan, Jia, Ruipeng, Liu, Yanbing, Tan, Jianlong, IEEE. Sequence Generative Adversarial Network for Long Text Summarization. ICTAI[J]. 2018, 242-248, [46] Yuan, Fangfang, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Tan, Jianlong, Fang, Binxing. Insider Threat Detection with Deep Neural Network. COMPUTATIONAL SCIENCE[J]. 2018, 10860: 43-54, [47] Yanbing Liu. Inferring Social Network User's Interest Based on Convolutional Neural Network. ICONIP. 2017, [48] Fang, Zheng, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Tan, Jianlong, Guo, Li, IEEE. A Co-training Method for Identifying the Same Person across Social Networks. GlobalSIP[J]. 2017, 1412-1416, [49] Qian Li, Gang Li, Wenjia Niu, Yanan Cao, Liang Chang, Jianlong Tan, Li Guo. Boosting imbalanced data learning with Wiener process oversampling. Frontiers of Computer Science,[J]. 2017, 11(5):&nbsp836-851, https://www.webofscience.com/wos/woscc/full-record/WOS:000410732200007.[50] Li, Xiaoxue, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Tan, Jianlong, Guo, Li. Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT (KSEM 2017)[J]. 2017, 10412: 274-286, [51] 乔治, 周川, 纪现才, 曹亚男, 郭莉. 基于地域特征和异构社交关系的事件推荐算法研究. 中文信息学报[J]. 2016, 30(5):&nbsp47-56, http://lib.cqvip.com/Qikan/Article/Detail?id=670605411.[52] Niu Wenjia. Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. CIKM. 2015, [53] 曹亚男. 基于用户行为倾向的社交网络事件推荐算法研究. 通信学报. 2015, [54] Yanan Cao. Two-phased Event Causality Acquisition: Coupling the Boundary Identification and Argument Identification Approaches. KSEM. 2015, [55] Yanan Cao. Tree Based Shape Similarity Measurement for Chinese Chracters. KSEM. 2015, [56] 尚燕敏, 张鹏, 曹亚男. 融合链接拓扑结构和用户兴趣的朋友推荐方法. 通信学报[J]. 2015, 36(2):&nbsp2015040-1, http://lib.cqvip.com/Qikan/Article/Detail?id=663796102.[57] Lu Yao, Zhang Peng, Cao Yanan, Hu Yue, Guo Li, Shi Y, Lepskiy A, Aleskerov F. On the Frequency Distribution of Retweets. 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014null. 2014, 31: 747-753, http://dx.doi.org/10.1016/j.procs.2014.05.323.[58] 郭静, 张鹏, 方滨兴, 周川, 曹亚男, 郭莉. 基于犔犜模型的个性化关键传播用户挖掘. 计算机学报[J]. 2014, 37(4):&nbsp809-818, http://lib.cqvip.com/Qikan/Article/Detail?id=49245614.[59] 郭静, 曹亚男, 周川, 张鹏, 郭莉. 基于线性阈值模型的影响力传播权重学习. 电子与信息学报[J]. 2014, 36(8):&nbsp1804-1809, http://lib.cqvip.com/Qikan/Article/Detail?id=661807005.[60] Qiao Zhi, Zhang Peng, He Jing, Cao Yanan, Zhou Chuan, Guo Li, Assoc Comp Machinery. Combining Geographical Information of Users and Content of Items for Accurate Rating Prediction. WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEBnull. 2014, 361-362, http://dx.doi.org/10.1145/2567948.2577342.[61] Qiao Zhi, Zhang Peng, Zhou Chuan, Cao Yanan, Guo Li, Zhang Yanchun, AAAI. Event Recommendation in Event-Based Social Networks. PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2014, 3130-3131, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485439703046.[62] Ji Ao, Peng Zhang, Yanan Cao. Estimating the Locations of Emergency Events from Twitter Streams. Procedia Computer Science. 2014, 731-739, http://dx.doi.org/10.1016/j.procs.2014.05.321.[63] Qiao Zhi, Zhang Peng, Cao Yanan, Zhou Chuan, Guo Li, Fang Bingxing, AAAI. Combining Heterogenous Social and Geographical Information for Event Recommendation. PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2014, 145-151, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485439700021.[64] Yao Lu, Peng Zhang, Yanan Cao, Yue Hu, Li Guo. On the Frequency Distribution of Retweets. Procedia Computer Science. 2014, 31: 747-753, http://dx.doi.org/10.1016/j.procs.2014.05.323.[65] Cao Yanan, Zhang Peng, Guo Jing, Guo Li, Abramson D, Lees M, Krzhizhanovskaya VV, Dongarra J, Sloot PMA. Mining Large-scale Event Knowledge from Web Text. 2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCEnull. 2014, 29: 478-487, http://dx.doi.org/10.1016/j.procs.2014.05.043.[66] Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo. Improving Collaborative Recommendation via Location-based User-item Subgroup. Procedia Computer Science. 2014, 400-409, http://dx.doi.org/10.1016/j.procs.2014.05.036.[67] Guo, Jing, Zhang, Peng, Zhou, Chuan, Cao, Yanan, Guo, Li, Ding, W, Washio, T, Xiong, H, Karypis, G, Thuraisingham, B, Cook, D, Wu, X. Item-based Top-k Influential User Discovery in Social Networks. 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)null. 2013, 780-787, [68] Zhang Peng. Personalized Influence Maximization on Social Networks. CIKM. 2013, [69] Zang, LiangJun, Cao, Cong, Cao, YaNan, Wu, YuMing, Cao, CunGen. A Survey of Commonsense Knowledge Acquisition. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2013, 28(4):&nbsp689-719, https://www.webofscience.com/wos/woscc/full-record/WOS:000321566800012.[70] Ma Yunlong, Zhang Peng, Cao Yanan, Guo Li, Hu X, Lin TY, Raghavan V, Wah B, BaezaYates R, Fox G, Shahabi C, Smith M, Yang Q, Ghani R, Fan W, Lempel R, Nambiar R. Parallel Auto-encoder for Efficient Outlier Detection. 2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATAnull. 2013, [71] Yanan Cao. A New Interest-Sensitive and Network-Sensitive Method for User Recommendation. NAS. 2013, [72] 尚燕敏, 张鹏, 曹亚男. 基于社会正则的行为定向. 计算机研究与发展[J]. 2013, 234-243, http://lib.cqvip.com/Qikan/Article/Detail?id=1005551575.[73] Shang Yanmin, Zhang Peng, Cao Yanan, Guo Li. Behavioral Targeting with Social Regularization. 2013 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: BIG DATA, EMERGENT THREATS, AND DECISION-MAKING IN SECURITY INFORMATICS[J]. 2013, 233-238, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000327025200054.[74] Yanan Cao. fficient Behavior Targeting Using SVM Ensemble Indexing. ICDM. 2012, [75] Li Jun, Zhang Peng, Cao Yanan, Liu Ping, Guo Li, Zaki MJ, Siebes A, Yu JX, Goethals B, Webb G, Wu X. Efficient Behavior Targeting Using SVM Ensemble Indexing. 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2012)null. 2012, 409-418,
科研活动
科研项目
( 1 )&nbsp面向事件预测的因果知识发现、验证和推理研究, 负责人, 国家任务, 2015-01--2017-12( 2 )&nbsp网络信息源发现和信息传播关键技术研究, 负责人, 研究所自选, 2013-05--2014-04( 3 )&nbsp**信息综合分析系统, 负责人, 国家任务, 2014-05--2014-12( 4 )&nbsp**测试验证子系统, 负责人, 国家任务, 2014-09--2014-12( 5 )&nbsp**代理发现技术, 负责人, 国家任务, 2015-06--2016-06( 6 )&nbsp下一代大数据流分类系统研究, 参与, 国家任务, 2014-01--2017-12( 7 )&nbsp社会态势感知与处理, 参与, 中国科学院计划, 2012-01--2016-12( 8 )&nbsp网络空间资源测绘—虚拟用户关联分析及用户画像关键技术研究, 负责人, 国家任务, 2017-01--2019-12( 9 )&nbsp青年之星, 负责人, 研究所自选, 2017-01--2019-12( 10 )&nbsp精准专家推荐算法设计, 负责人, 国家任务, 2018-07--2021-07( 11 )&nbsp中国科学院青年创新促进会计划, 负责人, 中国科学院计划, 2018-01--2020-12( 12 )&nbsp群体行为分析技术研究, 负责人, 国家任务, 2018-11--2019-10( 13 )&nbsp用户传播行为分析, 负责人, 国家任务, 2019-07--2020-05( 14 )&nbsp信息内容主动发现与传播分析, 负责人, 国家任务, 2020-07--2021-07( 15 )&nbsp人物属性分析技术, 负责人, 国家任务, 2021-06--2022-06
组内毕业生去向
刘文芃 博士 2020年毕业 地方高校 李晓雪 博士 2021年毕业 国家互联网应急协调中心 (优秀毕业论文)​方正 博士 2022年毕业 京东管培生 (优秀毕业论文)贾瑞鹏 博士 2022年毕业 百度大搜(优秀毕业论文)徐灏 硕士 2019年毕业 美团NLP (优秀毕业论文)张东杰 硕士 2020年毕业 阿里巴巴NLP 卞娅靖 硕士 2020年毕业 中国信息通信研究院 康哲舟 硕士 2021年毕业 京东管培生 (优秀毕业论文)唐恒柱 硕士 2021年毕业 百度大搜 (优秀毕业论文)李韧 硕士 2022年毕业 出国读博
学生获奖情况
1.国家奖学金:张东杰(2019年度)、贾瑞鹏(2021年度) 2.中科院院长奖学金:贾瑞鹏(2022年度院长特别奖)3.朱李月华奖学金:李晓雪(2020年度)、方正(2021年度)4.信工所所长奖学金:李晓雪(2018年度)、周玉晨(2019年度)、方正(2020年度)、李韧(2021年度) 5.北京市优秀毕业论文:贾瑞鹏(2022年度) 6.国科大优秀毕业论文:李晓雪(2021年度)、贾瑞鹏(2022年度) 7.信工所优秀毕业论文:徐灏(2019)、李晓雪(2021)、唐恒柱(2021)、康哲舟(2021)、贾瑞鹏(2022) 、方正、(2022)、李韧(2022)
获奖情况
1. 2013年度信息内容安全技术国家工程实验室特殊贡献奖 2. 2015年度中国科学院信息工程研究所优秀共产党员 3. 2016年度中国科学院信息工程研究所青年之星 4. 2017年度百度之星开发者大赛第一名 5. 2017年度中国科学院信息工程研究所优秀员工 6. 2018年度中国科学院青年创新促进会会员 7. 2019年度OAG-WHOISWHO大赛第三名 8. 2020年度PAKDD最佳论文奖 9. 2021年度中国科学院信息工程研究所室级优秀员工 10. 2021年度中国科学院大学优秀岗位教师
2013 中国科学院大学,网络信息中心.