基本信息
胡玥  女  博导  中国科学院信息工程研究所
电子邮件: huyue@iie.ac.cn
通信地址: 北京海淀区闵庄路91号A3楼
邮政编码: 1000190

招生信息

   
招生专业
083900-网络空间安全
081202-计算机软件与理论
招生方向
信息检索与数据挖掘
自然语言处理

教育背景

1996-09--2000-06   北京科技大学   工学博士
1994-09--1996-08   北京科技大学   工学硕士
1982-09--1986-06   太原理工大学   工学学士

工作经历

   
工作简历
2013-12~现在, 中国科学院信息工程研究所, 研究员
2000-09~2013-11,北京科技大学, 副教授,教授/博导
1986-07~1994-08,太原理工大学, 助教,讲师

教授课程

自然语言处理
统计自然语言处理

专利与奖励

   
奖励信息
(1) 我爱我师--我心目中最优秀的老师”, 一等奖, 研究所(学校), 2011
(2) “计算机组成原理”评为校级精品课程, 一等奖, 研究所(学校), 2010
(3) 北京科技大学科技贡献奖, 一等奖, 研究所(学校), 2009
(4) 第四届中国科协期刊优秀学术论文, 一等奖, 其他, 2007
(5) 北京科协第六届青年优秀科技论文, 二等奖, 市地级, 2002
(6) 第六届北京冶金青年科技优秀论文, 一等奖, 其他, 2001
专利成果
[1] 翁金塔, 林锦天, 严基杰, 胡玥, 高鹰. 一种基于对比学习的自动化知识点识别方法与装置. CN: CN115640850A, 2023-01-24.

[2] 胡玥, 翁金塔, 严基杰, 林锦天, 谢玉强. 一种基于对抗学习的鲁棒性教学知识点识别方法与装置. CN: CN115587180A, 2023-01-10.

[3] 于静, 丁阳, 庄佳敏, 胡玥, 熊刚. 一种基于层次结构的无偏置场景图生成方法. CN: CN115269925A, 2022-11-01.

[4] 黄河燕, 徐永秀, 胡玥, 尤浩, 张家瑞. 一种基于序列到森林的非连续实体识别方法. CN: CN115114930A, 2022-09-27.

[5] 黄河燕, 尤浩, 魏旭, 胡玥. 一种基于多模型集成的政务问答方法. CN: CN113342953A, 2021-09-03.

[6] 胡玥, 谢玉强. 一种人类行为与情感的预测、溯源方法及装置. CN113254576A, 2021-08-13.

[7] 胡玥. 一种基于多步证据推理的机器阅读理解方法与系统. 202110441185X, 2021-04-23.

[8] 于静, 郭晶晶, 胡玥, 谭建龙, 郭莉. 一种面向文本和图像的跨媒体检索方法及电子装置. CN: CN112000818A, 2020-11-27.

[9] 周川, 高扬, 胡玥, 谭建龙, 郭莉. 一种基于共现图的系统告警聚类分析方法. CN: CN110399261A, 2019-11-01.

[10] 昝文, 周川, 胡玥, 郭莉. 一种基于图卷积网络的网络节点标签主动学习方法和系统. CN: CN110363282A, 2019-10-22.

[11] 黄琪, 周川, 胡玥, 谭建龙, 郭莉. 基于用户关系结构特征的微博谣言检测方法和系统. CN: CN110362818A, 2019-10-22.

[12] 刘全超, 胡玥. 一种面向产品属性的观点倾向性分析方法及系统. CN: CN110362817A, 2019-10-22.

[13] 周川, 胡玥, 谭建龙, 郭莉. 一种基于差分预解集的网络信息扩散源头推断方法. CN: CN110300016A, 2019-10-01.

[14] 周川, 高扬, 胡玥, 谭建龙, 郭莉. 一种基于可疑性度量的团伙诈骗电话识别方法. CN: CN110233938A, 2019-09-13.

[15] 高扬, 周川, 时金桥, 王斌, 胡玥, 郭莉. 一种基于社会传感器优化的网络级联传播早期发现方法. CN: CN109560966A, 2019-04-02.

[16] 姚启鹏, 周川, 张鹏, 胡玥, 郭莉. 一种基于话题模型的网络负面信息影响最小化方法. CN: CN105468681A, 2016-04-06.

[17] 姚启鹏, 周川, 张鹏, 胡玥, 郭莉. 一种基于阻断连边的网络负面信息影响最小化方法. CN: CN105138580A, 2015-12-09.

[18] 杨凡, 牛温佳, 胡玥, 毛志, 张博, 敖吉, 谭建龙, 郭莉. 一种基于时序数据挖掘的视频推荐方法. CN: CN104935963A, 2015-09-23.

[19] 李歌, 胡玥, 于延宇, 李丹. 基于用户特征的预测社交网络信息流行度的方法及系统. CN: CN104281882A, 2015-01-14.

[20] 于延宇, 胡玥, 李歌, 李丹. 一种对社交网络信息传播趋势预测的方法及系统. CN: CN104008150A, 2014-08-27.

[21] 李倩, 牛温佳, 管洋洋, 黄超, 孙卫强, 李丹, 胡玥, 郭莉. 基于水军检测模型构建方法和系统及水军检测方法. CN: CN103955714A, 2014-07-30.

[22] 李丹, 李倩, 牛温佳, 管洋洋, 黄超, 孙卫强, 胡玥, 郭莉. 一种基于混合狄利克雷过程的网络水军行为检测方法及系统. CN: CN103812872A, 2014-05-21.

[23] 孙卫强, 牛温佳, 赵卫中, 管洋洋, 黄超, 李倩, 胡玥, 刘萍, 郭莉. 网络水军的检测方法及装置. CN: CN103795592A, 2014-05-14.

[24] 牛温佳, 李倩, 管洋洋, 黄超, 孙卫强, 李丹, 胡玥, 郭莉. 一种基于行为特征与内容特征融合的水军识别方法及系统. CN: CN103745002A, 2014-04-23.

[25] 管洋洋, 牛温佳, 李倩, 黄超, 孙卫强, 胡玥, 刘萍, 郭丽. 一种基于改进DBN模型的水军检测方法及系统. CN: CN103729678A, 2014-04-16.

[26] 胡玥, 高小宇, 高庆狮. 用于形成机器翻译的语义单元及其表示库的方法及其系统. CN: CN101452447A, 2009-06-10.

出版信息

   
发表论文
[1] Weng, Jinta, Hu, Yue, Huang, Heyan. LPSA: Online educational video evaluation considering cognitive and teaching style. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION. 2023, http://dx.doi.org/10.1002/cae.22662.
[2] 翁金塔, 邓一帆, 胡玥, 黄河燕. Personalized Educational Video Evaluation Combining Student's Cognitive and Teaching Style. SMCnull. 2023, [3] 尤浩, 黄河燕, 胡玥, 徐永秀. Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning. KSEMnull. 2023, [4] 彭伟, 胡玥. Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. SIGIRnull. 2023, [5] 郭平, 胡玥, 任昱冰, 李运鹏, 张家瑞, 张兴盛. Mitigating Long-tail Language Representation Collapsing via Cross-lingual Bootstrapped Unsupervised Fine-tuning. ECAInull. 2023, [6] Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou. GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2023, 35(7): 6973-6987, [7] 牛晨旭, 胡玥, 彭伟, 谢玉强. Learning To Balance The Global Coherence And Informativeness In Knowledge-grounded Dialogue Generation. ICASSPnull. 2023, [8] 李运鹏, 胡玥, 彭伟, 谢玉强. Think before you speak: Concept-guided Explicit Persona Reasoning for Personalized Dialogue Generation. ICASSPnull. 2023, [9] 张家瑞, 黄河燕, 胡玥, 郭平, 谢玉强. Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. KSEMnull. 2023, [10] 郭平, 魏相鹏, 胡玥, 杨宝嵩, 刘大一衡. EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. NeurIPSnull. 2023, [11] 邓一帆, 张兴盛, 黄河燕, 胡玥. Towards Faithful Dialogues via Focus Learning. ACLnull. 2023, [12] Peng, Wei, Qin, Ziyuan, Hu, Yue, Xie, Yuqiang, Li, Yunpeng. FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation. KNOWLEDGE-BASED SYSTEMS[J]. 2023, 264: http://dx.doi.org/10.1016/j.knosys.2023.110340.
[13] 庄佳敏, 于静, 丁阳, 屈详颜, 胡玥. Towards Fast and Accurate Image-Text Retrieval With Self-Supervised Fine-Grained Alignment. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2023, PP(99): 1-12, [14] 翁金塔, 李东浩, 张家瑞, 胡玥, 黄河燕. Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models. ICONIPnull. 2023, [15] 李运鹏, 胡玥, 孙雅静, 郭平, 邢璐茜, 谢玉强, 彭伟. Learning to Know Myself: A Coarse-to-Fine Persona-aware Training Framework for Personalized Dialogue Generation. AAAInull. 2023, [16] Peng, Wei, Hu, Yue, Xie, Yuqiang, Xing, Luxi, Sun, Yajing. CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective. 2022, [17] Wei, Xiangpeng, Yu, Heng, Hu, Yue, Weng, Rongxiang, Luo, Weihua, Xie, Jun, Jin, Rong. Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. 2022, [18] Peng, Wei, Hu, Yue, Xing, Luxi, Xie, Yuqiang, Zhang, Xingsheng, Sun, Yajing. Modeling Intention, Emotion and External World in Dialogue Systems. 2022, [19] 张兴盛, 胡玥, 孙雅静. Document-Level Multi-Event Extraction via Event Ontology Guiding. KSEMnull. 2022, [20] 徐永秀, 周川, 黄河燕, 于静, 胡玥. WLinker: Modeling Relational Triplet Extraction as Word Linking. ICASSPnull. 2022, [21] Xie, Yuqiang, Hu, Yue, Xing, Luxi, Li, Yunpeng, Peng, Wei, Guo, Ping. CLSEG: Contrastive Learning of Story Ending Generation. 2022, [22] 丁阳, 于静, 刘邦, 胡玥, 崔明鑫, 吴琦. MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CVPR[J]. 2022, [23] Xia, Xue, Chang, Wenxi, Cheng, Shuwen, Huang, Chuande, Hu, Yue, Xu, Weibin, Zhang, Li, Jiang, Bo, Sun, Zhehao, Zhu, Yanyan, Wang, Xiaodong. Oxygen Activity Tuning via FeO6 Octahedral Tilting in Perovskite Ferrites for Chemical Looping Dry Reforming of Methane. ACSCATALYSIS[J]. 2022, 12(12): 7326-7335, http://dx.doi.org/10.1021/acscatal.2c00920.
[24] 彭伟, 胡玥, 邢璐茜. Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System. ECML-PKDDnull. 2022, [25] 李运鹏, 胡玥, 郭平. A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. IJCNNnull. 2022, [26] Peng, Wei, Hu, Yue, Xing, Luxi, Xie, Yuqiang, Sun, Yajing, Li, Yunpeng. Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation. 2022, [27] 邢璐茜, 胡玥, 谢玉强. Calibration of the Multiple Choice Machine Reading Comprehension. IJCNNnull. 2022, [28] 孙雅静, Yong Shan, 堂程光, 胡玥, Yinpei Dai, 于静, Jian Sun, Fei Huang, SI Luo. Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. AAAI[J]. 2021, [29] 李金鹏, 张闯, 陈小军, 胡玥, 廖鹏程. 自动文本摘要研究综述. 计算机研究与发展[J]. 2021, 58(1): 1-21, http://lib.cqvip.com/Qikan/Article/Detail?id=7103712550.
[30] Peng, Wei, Hu, Yue, Yu, Jing, Xing, Luxi, Xie, Yuqiang, Zhu, Zihao, Sun, Yajing, IEEE. MCR-NET: A MULTI-STEP CO-INTERACTIVE RELATION NETWORK FOR UNANSWERABLE QUESTIONS ON MACHINE READING COMPREHENSION. 2021IEEEINTERNATIONALCONFERENCEONACOUSTICSSPEECHANDSIGNALPROCESSINGICASSP2021[J]. 2021, 7818-7822, [31] Wei, Xiangpeng, Weng, Rongxiang, Hu, Yue, Xing, Luxi, Yu, Heng, Luo, Weihua. On Learning Universal Representations Across Languages. 2021, http://arxiv.org/abs/2007.15960.
[32] Xing, Luxi, Hu, Yue, Yu, Jing, Xie, Yuqiang, Peng, Wei, IEEE. COARSE-TO-CAREFUL: SEEKING SEMANTIC-RELATED KNOWLEDGE FOR OPEN-DOMAIN COMMONSENSE QUESTION ANSWERING. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)[J]. 2021, 7798-7802, [33] Peng, Wei, Hu, Yue, Yu, Jing, Xing, Luxi, Xie, Yuqiang. APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions. KNOWLEDGE-BASED SYSTEMS[J]. 2021, 229: http://dx.doi.org/10.1016/j.knosys.2021.107364.
[34] Zhang, JiaRui, Li, HongZheng, Shi, ShuMin, Huang, HeYan, Hu, Yue, Wei, XiangPeng, IEEE. Dynamic Attention Aggregation with BERT for Neural Machine Translation. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [35] 胡玥. 面向神经机器翻译不确定性的语义增强方法. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. 2020, [36] 胡玥. 基于多尺度协作机制的深度神经机器翻译模型. The 58th Annual Meeting of the Association for Computational Linguistics. 2020, [37] 胡玥. 多轮对话系统的历史自适应知识整合机制. The Thirty-Fourth AAAI conference on Artificial Intelligence. 2020, [38] 胡玥. 通过自我监督学习增强预训练语言模型的故事完形测试. The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020). 2020, [39] 胡玥. 基于匹配-整合-验证的多选型阅读理解模型. The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020). 2020, [40] 胡玥. 面向机器阅读理解的双向认知思维网络. The 28 th International Conference on Computational Liguistics. 2020, [41] Wei, Xiangpeng, Yu, Heng, Hu, Yue, Weng, Rongxiang, Xing, Luxi, Luo, Weihua. Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. 2020, http://arxiv.org/abs/2010.04411.
[42] Yu, Jing, Lu, Yuhang, Zhang, Weifeng, Qin, Zengchang, Liu, Yanbing, Hu, Yue. Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. PATTERN RECOGNITION LETTERS[J]. 2020, 130: 189-198, http://dx.doi.org/10.1016/j.patrec.2018.08.017.
[43] Yu, Jing, Zhu, Zihao, Wang, Yujing, Zhang, Weifeng, Hu, Yue, Tan, Jianlong. Cross-modal knowledge reasoning for knowledge-based visual question answering. PATTERN RECOGNITION[J]. 2020, 108: http://dx.doi.org/10.1016/j.patcog.2020.107563.
[44] Yu, Jing, Zhang, Weifeng, Yang, Zhuoqian, Qin, Zengchang, Hu, Yue. Cross-modal learning with prior visual relation knowledge. KNOWLEDGE-BASED SYSTEMS[J]. 2020, 203: http://dx.doi.org/10.1016/j.knosys.2020.106150.
[45] Wei, Xiangpeng, Yu, Heng, Hu, Yue, Zhang, Yue, Weng, Rongxiang, Luo, Weihua. Multiscale Collaborative Deep Models for Neural Machine Translation. 2020, http://arxiv.org/abs/2004.14021.
[46] 胡玥. 基于多词义融合的词义消岐模型. The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020). 2020, [47] 魏相鹏, 胡玥, 邢璐茜. Unsupervised Neural Machine Translation with Future Rewarding. CoNLLnull. 2019, [48] 胡玥. 面向神经机器翻译的门控自注意力编码机制. nternational Conference on Knowledge Science, Engineering and Management. 2019, [49] Liu, Quanchao, Hu, Yue, Nayak, AC, Sharma, A. Joint Extraction of Opinion Targets and Opinion Expressions Based on Cascaded Model. PRICAI 2019: TRENDS IN ARTIFICIAL INTELLIGENCE, PT IIInull. 2019, 11672: 543-554, [50] 胡玥. 基于级联模型的意见目标与意见表达的联合提取方法. Pacific Rim International Conference on Artificial Intelligence. 2019, [51] 胡玥. 基于门限自注意编码器的神经机器翻译. Knowledge Science, Engineering and Management. 2019, [52] 胡玥. 基于未来奖励的无监督神经机器翻译. Conference on Computational Natural Language Learning. 2019, [53] Xu, Yiming, Yu, Jing, Guo, Jingjing, Hu, Yue, Tan, Jianlong, Rodrigues, JMF, Cardoso, PJS, Monteiro, J, Lam, R, Krzhizhanovskaya, VV, Lees, MH, Dongarra, JJ, Sloot, PMA. Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval. COMPUTATIONAL SCIENCE - ICCS 2019, PT IInull. 2019, 11537: 304-317, [54] Guo, Jingjing, Yu, Jing, Lu, Yuhang, Hu, Yue, Liu, Yanbing, Rodrigues, JMF, Cardoso, PJS, Monteiro, J, Lam, R, Krzhizhanovskaya, VV, Lees, MH, Dongarra, JJ, Sloot, PMA. 2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. COMPUTATIONAL SCIENCE - ICCS 2019, PT IInull. 2019, 11537: 131-144, [55] 胡玥. 基于双语主题知识的神经机器翻译. Thirty-Third AAAI Conference on Artifical Intelligence. 2019, [56] 魏相鹏, 胡玥, 邢璐茜. Gated Self-Attentive Encoder for Neural Machine Translation. KSEMnull. 2019, [57] 胡玥. 基于图卷积网络的句法感知句子匹配. Knowledge Science, Engineering and Management. 2019, [58] 胡玥. 特定任务因子的动态元嵌入. Knowledge Science, Engineering and Management. 2019, [59] Wei, Xiangpeng, Hu, Yue, Xing, Luxi, Wang, Yipeng, Gao, Li, AAAI. Translating with Bilingual Topic Knowledge for Neural Machine Translation. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 7257-7264, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501098.
[60] Chen Jianjun, Xie Hongtao, Hu Yue, Yan Chenggang, Schoeffmann K, Chalidabhongse TH, Ngo CW, Aramvith S, OConnor NE, Ho YS, Gabbouj M, Elgammal A. Uyghur Text Localization with Fast Component Detection. MULTIMEDIA MODELING, MMM 2018, PT Inull. 2018, 10704: 565-577, [61] Zhou, Chuan, Lu, WeiXue, Zhang, Jingzun, Li, Lei, Hu, Yue, Guo, Li. Early detection of dynamic harmful cascades in large-scale networks. JOURNAL OF COMPUTATIONAL SCIENCE[J]. 2018, 28: 304-317, http://dx.doi.org/10.1016/j.jocs.2017.10.014.
[62] Zan, Wen, Zhou, Chuan, Yang, Hong, Hu, Yue, Guo, Li, IEEE. iWalk: Interest-Aware Random Walk for Network Embedding. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [63] 胡玥. 基于兴趣感知的随机游走的网络嵌入. IJCNN 2018: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS. 2018, [64] Gao Li, Wu Jia, Zhou Chuan, Hu Yue, AAAI. Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 1316-1322, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630701050.
[65] Liu ChunYi, Zhou Chuan, Wu Jia, Xie Hongtao, Hu Yue, Guo Li, IEEE. CPMF: A Collective Pairwise Matrix Factorization Model for Upcoming Event Recommendation. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2017, 1532-1539, [66] Lu Yao, Qiao Zhi, Zhou Chuan, Hu Yue, Guo Li, ACM. Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach. CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2016, 1957-1960, http://dx.doi.org/10.1145/2983323.2983883.
[67] Zhou Chuan, Lu WeiXue, Zhang Peng, Wu Jia, Hu Yue, Guo Li, AAAI. On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 79-85, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474200011.
[68] Chen Hongsong, Hu Yue, Destech Publicat Inc. Information Diffusion Model and Hadoop Implementation Research on Online Social Network. INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS AND ELECTRONIC ENGINEERING (CMEE 2016)null. 2016, [69] 李保珲, 徐克付, 张鹏, 郭莉, 胡玥, 方滨兴. 虚拟机自省技术研究与应用进展. 软件学报[J]. 2016, 1384-1401, http://lib.cqvip.com/Qikan/Article/Detail?id=669126884.
[70] 胡玥. 基于事件的贝叶斯潜在社交推荐. CIKM-16. 2016, [71] 胡玥. 基于影响力最大化的改进贪婪算法. CCT2015. 2015, [72] 胡玥. 可扩展的谣言溯源算法. The International Conference on Cyberspace Technology. 2015, [73] Liang, Jiguang, Zhou, Xiaofei, Hu, Yue, Guo, Li, Bai, Shuo, IEEE. Optimization-based Model for Determining Words' Sentiment Orientations. INFOCOM 2015 WORKSHOP[J]. 2015, 87-88, [74] 胡玥. 基于情感语境的情感词识别. APWeb2015. 2015, [75] Li, Qian, Niu, Wenjia, Li, Gang, Tong, Endong, Hu, Yue, Liu, Ping, Guo, Li. Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT[J]. 2015, 23(3): 474-501, https://www.webofscience.com/wos/woscc/full-record/WOS:000356295800004.
[76] 胡玥. 词汇情感倾向优化模型. Infocom2015. 2015, [77] 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.
[78] Zhou Xiaofei, Hu Yue, Guo Li, Shi Y, Lepskiy A, Aleskerov F. Text Categorization Based on Clustering Feature Selection. 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014null. 2014, 31: 398-405, http://dx.doi.org/10.1016/j.procs.2014.05.283.
[79] 胡玥. 基于无监督标签传播的词聚类. 25th International Conference on Computational Linguistics. 2014, [80] Li Dan, Li Qian, Hu Yue, Niu Wenjia, Tan Jianlong, Guo Li, Batten L, Li G, Niu W, Warren M. An Approach to Detect the Internet Water Army via Dirichlet Process Mixture Model Based GSP Algorithm. APPLICATIONS AND TECHNIQUES IN INFORMATION SECURITY, ATIS 2014null. 2014, 490: 82-95, [81] 胡玥. BBS信息传播曲线的模式发现. APWeb2014(The 16th Asia-Pacific Web Conference). 2014, [82] Xiaofei Zhou. Text Document Latent Subspace Clustering by PLSA Factors. WI-IAT. 2014, [83] Niu, Wenjia, Li, Gang, Tong, Endong, Sheng, Quan Z, Li, Qian, Hu, Yue, Vasilakos, Athanasios V, Guo, Li. A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS[J]. 2014, 44: 120-133, http://dx.doi.org/10.1016/j.jnca.2014.05.006.
[84] 胡玥. 基于用户行为的天涯论坛流行度预测. Applications and Techniques in Information Security. 2014, [85] Yue Hu. Chinese Question Classify Model Based on Interrogative Semantic Unit. International conference on Information Science and Computer Applications. 2013, [86] 崔文科, 徐克付, 李娜娜, 胡玥. 基于CUDA的位并行近似串匹配算法. 计算机工程[J]. 2012, 38(22): 267-270,275, http://lib.cqvip.com/Qikan/Article/Detail?id=43911126.
[87] HU Yue, GAO QingShi, GUO Li, WANG PeiFeng. Giant complete automaton for uncertain multiple string matching and its high speed construction algorithm. 中国科学:信息科学(英文版)[J]. 2011, 54(8): 1562-1571, http://lib.cqvip.com/Qikan/Article/Detail?id=38698935.
[88] 胡玥, 高庆狮, 郭莉, 王培凤. 巨型多不确定串匹配完全自动机及其快速生成算法. 中国科学:信息科学[J]. 2011, 41(5): 552-561, http://lib.cqvip.com/Qikan/Article/Detail?id=37682114.
[89] Hu Yue, Gao QingShi, Guo Li, Wang PeiFeng. Giant complete automaton for uncertain multiple string matching and its high speed construction algorithm. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2011, 54(8): 1562-1571, http://lib.cqvip.com/Qikan/Article/Detail?id=38698935.
[90] Yue Hu. Process_Level Virtual Machine Embedded Chain Mode. 2011, [91] Yue Hu. An Efficient Automata Based Matching Algorithm. 2011, [92] 胡玥, 高小宇, 李莉, 高庆狮. 自然语言合理句子的生成系统. 计算机学报[J]. 2010, 33(3): 535-544, http://lib.cqvip.com/Qikan/Article/Detail?id=33205091.
[93] Yue Hu. Complete Automata for Fast Matching of Multiple. 2nd International Conference On Information Science and. 2010, [94] Yue Hu. A Fast Algorithm for Multi-String Matching Based. 2010, [95] 高庆狮, 高小宇, 胡玥. A New Fuzzy Set Theory Satisfying All Classical Set Formulas. 计算机科学技术学报:英文版[J]. 2009, 798-804, http://lib.cqvip.com/Qikan/Article/Detail?id=30866674.
[96] 高庆狮. A New Fuzzy Set Theory Satisfying All Classical Set Formulas. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2009, 24(4): 798-804, http://lib.cqvip.com/Qikan/Article/Detail?id=30866674.
[97] 胡玥, 高小宇, 高庆狮. 多语言机译系统中高质量语义单元库形成方法. 北京科技大学学报[J]. 2008, 30(6): 698-704, http://lib.cqvip.com/Qikan/Article/Detail?id=27622284.
[98] Gao, Xiaoyu, Yue, Hu, Li, L, Gao, Qingshi. SEMANTIC-PARSING BASED ON SEMANTIC UNITS THEORY - A NEW APPROACH TO NATURAL LANGUAGES PROCESSING. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE[J]. 2008, 22(7): 1447-1459, https://www.webofscience.com/wos/woscc/full-record/WOS:000262598400009.
[99] 胡玥, 高小宇, 高庆狮. 统一语言学中的类几何变换函数. 北京工业大学学报[J]. 2008, 34(8): 891-896, http://lib.cqvip.com/Qikan/Article/Detail?id=28074263.
[100] Yue Hu, Xiaoyu Gao, Li Li, Qingshi Gao. Style transformation in natural languages. FRONTIERS OF COMPUTER SCIENCE IN CHINA[J]. 2008, 2(4): 424-430, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=3427229&detailType=1.
[101] 胡玥. 多语言机译系统之高质量语义单元库形成方法. 北京科技大学学报. 2008, [102] Yue Hu. Wang,Tansformation of Two-Dimensional Negation in. 2008, [103] 胡玥, 高庆狮, 高小宇. 多语互译机译系统统一算法基础——差异函数. 北京航空航天大学学报[J]. 2008, 34(5): 604-608, http://lib.cqvip.com/Qikan/Article/Detail?id=27408433.
[104] Yue Hu. Gao,Style Transformation in Nature Language. Frontiers of Computer Science in China. 2008, [105] 刘凤晨, 刘庆文, 胡玥, 黄河. n-Gram/2L索引结构的存储与时间优化算法. 计算机工程与应用[J]. 2008, 44(5): 180-183, http://lib.cqvip.com/Qikan/Article/Detail?id=26461689.
[106] 李士达, 胡玥, 王兴秋, 于真. 一种基于ECC的SIP认证方案的提出与实现. 计算机应用[J]. 2007, 27(2): 311-313, http://lib.cqvip.com/Qikan/Article/Detail?id=23985043.
[107] 崔涛, 刘庆文, 胡玥. Linux系统下基于PCI控制器(PLX9054)的DMA编程. 微计算机信息. 测控自动化[J]. 2006, 22(1): 95-97,43, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=2801115&detailType=1.
[108] 韩智华, 刘庆文, 胡玥. 一种TCP窗口控制协议. 微计算机信息. 管控一体化[J]. 2006, 22(5): 194-196, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=2804110&detailType=1.
[109] 孟繁杰, 刘庆文, 胡玥, 张铁壁. UCLA网络加速器路由表快速查找改进模型. 计算机工程与应用[J]. 2004, 40(27): 138-141,232, http://lib.cqvip.com/Qikan/Article/Detail?id=10606834.
[110] 高庆狮. Semantic language and multi-language MT approach based on SL. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2003, 18(6): 848-852, http://lib.cqvip.com/Qikan/Article/Detail?id=8906951.
[111] Gao, QH, Hu, Y, Li, L, Chen, X, Liu, HL. A novel computer architecture to prevent destruction by viruses. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2002, 17(3): 241-248, http://lib.cqvip.com/Qikan/Article/Detail?id=6672287.
[112] 胡玥, 高庆狮, 刘宏岚. 一种优化BITONIC算法:“并行—优化—串行”合并和分类向量算法. 计算机研究与发展[J]. 2002, 39(10): 1307-1316, http://lib.cqvip.com/Qikan/Article/Detail?id=6896067.
[113] 高庆狮, 胡, 刘志勇. k—Bitonic排序. 中国科学:E辑[J]. 1999, 29(2): 155-, http://lib.cqvip.com/Qikan/Article/Detail?id=3472123.
[114] 胡玥, 高庆狮. 一个带有可变结构总线的常数排序处理机阵列. 计算机学报[J]. 1998, 237-246, http://lib.cqvip.com/Qikan/Article/Detail?id=3000893331.
[115] 胡玥. 一类递归方程的一个新的优化向量并行算法. 计算机学报. 1997, 
发表著作
(1) 串行算法并行化基础 , FOUNDATION OF PARALLELIZATION OF SERIAL ALGORITHM, 科学出版社, 2008-06, 第 1 作者
(2) 巨量串匹配基础 , FOUNDATION OF MATCHING IN MASSIVE STRING, 科学出版社, 2012-01, 第 3 作者

科研活动

   
科研项目
( 1 ) 中国科学院战略性先导科技专项, 参与, 部委级, 2012-01--2016-12
( 2 ) 社交网络的传播基础理论研究, 参与, 国家级, 2013-01--2017-12
( 3 ) 新型网络管理技术, 主持, 国家级, 2016-07--2019-06
( 4 ) 软件智能测试平台, 参与, 院级, 2017-12--2018-12
( 5 ) 面向国家安全的舆情信息发现分析与预测引导, 参与, 国家级, 2017-09--2020-08

指导学生

已指导学生

邓卫东  硕士研究生  085211-计算机技术  

高礼  博士研究生  081202-计算机软件与理论  

孙悦  硕士研究生  085211-计算机技术  

路遥  硕士研究生  081202-计算机软件与理论  

刘纯一  硕士研究生  081202-计算机软件与理论  

现指导学生

刘文芃  博士研究生  081202-计算机软件与理论  

邢璐茜  博士研究生  083900-网络空间安全  

于静  博士研究生  081202-计算机软件与理论  

雷扬帆  硕士研究生  085211-计算机技术  

高扬  博士研究生  083900-网络空间安全  

谢玉强  博士研究生  083900-网络空间安全  

陈建均  博士研究生  083900-网络空间安全  

孙雅静  硕士研究生  083900-网络空间安全  

王梓涵  硕士研究生  083900-网络空间安全  

彭伟  博士研究生  083900-网络空间安全  

魏相鹏  博士研究生  081203-计算机应用技术  

唐恒柱  硕士研究生  083900-网络空间安全