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教师风采
 



高 旻

职称:副教授/硕导

研究方向:个性化推荐系统、异常模式检测、社会媒体挖掘

邮箱:gaomin@cqu.edu.cn

高旻,博士、副教授、硕士生导师,IEEE/CCF会员。2018年美国亚利桑那州立大学访学一年,2008年英国雷丁大学访学一年。研究领域包括推荐系统、托攻击检测、社会媒体挖掘。目前作为项目负责人承担国家自然科学基金(青年)项目1项、重庆市前沿与应用基础研究计划项目1项、中国博士后基金面上项目1项,以主研身份参加国家973计划项目、国家重点研发计划项目、国家科技支撑计划项目、国家自然科学基金项目等多项;目前以第一作者或通讯作者发表学术论文30余篇。担任多个国际权威期刊和会议评审人。

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团队招募 - Join us

团队以科学研究为导向,研究内容与实际应用紧密结合,注重学生能力培养。团队氛围自由学风浓厚,实验室设备齐全(包括图形工作站、大型服务器、高性能PC机若干)。尊重学生自主性,按学生意愿选择研究方向,时间分配自由无强制,对外学术交流机会充足。欢迎编程能力强、数学英语基础扎实有强烈科研兴趣的同学加入,有科研经历或学术成果者优先。2019年招收秋季入学硕士研究生3-4名,欢迎联系!

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团队最新动态 - Bulletin

[ 2018/08 ]  团队四名同学赴香港大学参与访学实践项目

[ 2018/08 ]  一篇论文被数据挖掘顶级会议CIKM 2018(CCF B)接收

[ 2018/08 ]  两篇论文被人工智能著名会议ICTAI 2018(CCF C)接收

[ 2018/05 ]  一篇论文在FCS(SCI /CCF C) 2018年第5期刊出

[ 2018/02 ]  团队开发的音乐推荐算法平台Yue在GitHub上线

[ 2017/12 ]  团队三名同学赴苏格兰爱丁堡交流,参加学术会议并做论文报告

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代表性科研项目 - Research Projects  

[1]     国家自然科学基金,基于用户可信度的抗托攻击协同过滤推荐机理研究,71102065,主持

[2]     中国博士后基金,基于项目时间序列异常检测的抗攻击协同过滤推荐研究,2012M521680,主持

[3]     重庆市前沿与应用基础研究计划项目,基于多维社交关系挖掘的抗干扰社会化推荐研究,CSTC2015jcyjA40049,主持

[4]     中央高校基金重点项目,多视图协同训练的托攻击检测研究,106112014CDJZR095502,主持

[5]   智能检测监测云服务平台研发与示范应用,科技部国家重点研发计划(课题),主研

[6]   在线交易可靠性监测与分析技术研究,科技部国家科技支撑计划项目,主研

[7]    微波源功率实时智能控制理论与控制方法,科技部国家基础研究规划项目(973计划),主研

[8]    国家自然科学基金,基于异构服务网络分析的Web服务推荐研究, 61103114,主研

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实验室开源项目 - Opensource Projects 

l  RecQ - 推荐算法实验平台

l  Yue - 音乐推荐算法实验平台

l  SDLib - 托攻击检测实验平台

l  Datasets - 数据集

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硕士研究生及毕业去向 - Alumni

l  大数据与软件学院学生

   袁泉 (2011.9-2013.12) 腾讯公司

   崔丽艳(2012.9-2015.6)西南医院信息中心

   田仁丽(2013.9-2016.6)网易公司

   谭侃(2014.9-2017.6)湖南中国移动通信有限公司

   李祥(2014.9-2017.6)重庆锐明信息技术有限公司

   余俊良(2015.9-2018.6)澳大利亚昆士兰大学攻博

   宋宇琦(2016.9-

   赵泽华(2017.9-

   王昕毅(2017.9-

   张峻伟(2018.9-

   王润生(2018.9-

l  汽车协同创新中心学生

   钟浩文(2015.9-2018.6)长安汽车有限公司

   杨帆(2016.9-

   卢珍妮(2017.9-

   王宗威(2018.9-

l  参与实验室科研项目学生

   夏会 (2012.6-2014.6) 澳大利亚威尼斯在线平台联合培养博士,重庆理工大学讲师

   黄海魂 (2012.6-2014.6) 大众点评

   李文涛 (2014.6-2016.12) 悉尼科技大学攻博

   窦桐 (2016.9-2018.6) 爱奇艺科技有限公司

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团队研究生获奖情况 - Awards

田仁丽(2013.9-2016.6)获2015研究生国家奖学金 ¥20,000 (综评第一)

谭侃(2014.9-2017.6)获2016年华为奖学金 (综评第三)

余俊良(2015.9-2018.6)获2017研究生国家奖学金 ¥20,000   (综评第一)

宋宇琦(2016.9-)获2017研究生国家奖学金 ¥20,000   (综评第一)

赵泽华(2017.9-)获2018年研究生国家奖学金 ¥20,000   (综评第一) 

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学术论文 - Papers (第一作者及 *通讯作者)

l  学术会议论文 

[1]. Junliang Yu, Min Gao*, Jundong Li, Hongzhi Yin, and Huan Liu. "Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation." The 27th ACM International Conference on Information and Knowledge Management. (CIKM 2018CCF B).

[2]. Yuqi Song, Min Gao*, Junliang Yu and Qingyu Xiong. "Social Recommendation Based on Implicit Friends Discovering via Meta-Path." The IEEE 29th International Conference on Tools with Artificial Intelligence. (ICTAI 2018, CCF C)

[3]Fan Yang, Min Gao*, Junliang Yu, Yuqi Song and Xinyi Wang. "Detection of Shilling Attack Based on Bayesian Model and User Embedding." The IEEE 29th International Conference on Tools with Artificial Intelligence(ICTAI 2018, CCF C)

[4]. Yuqi Song, Min Gao*, Junliang Yu, Wentao Li, Junhao Wen, and Qingyu Xiong. "PUD: Social Spammer Detection Based on PU Learning." International Conference on Neural Information Processing. Springer, 2017.11 (ICONIP 2017, CCF C).

[5]. Junliang Yu, Min Gao*, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong. (2017). Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. International Conference on Neural Information Processing. Springer, 2017.11 (ICONIP 2017, CCF C).

[6]. Junliang Yu, Min Gao*, Yuqi Song, Zehua Zhao, Wenge Rong, & Qingyu Xiong. Connecting Factorization and Distance Metric Learning for Social Recommendations.Knowledge Science, Engineering and Management, Springer, Melbourne, Australia, 2017.08 (KSEM 2017, CCF C).

[7]. Wentao LiMin Gao*, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia and Tong Dou, Social Recommendation Using Euclidean Embedding,2017 International Joint Conference on Neural Networks (IJCNN), IEEE, Alaska, USA, 2017.05. (IJCNN 2017, CCF C)

[8]. Xiang Li, Min Gao*, Wenge Rong, Qingyu Xiong, and Junhao Wen, Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems, 2016 IEEE International Conference on Web Services (ICWS), San Francisco, US, 2016.06. (ICWS 2016, CCF B)

[9].  Wentao Li, Min Gao*, Hua Li, Qingyu Xiong, Junhao Wen, and Zhongfu Wu, Dropout Prediction in MOOCs Using Behavior Features and Multi-view Semi-supervised Learning,  International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, 2016.07. (IJCNN 2016, CCF C)

[10].  Wentao Li, Min Gao*, Wenge Rong, Junhao Wen, Qingyu Xiong, and Bin Ling, LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning,  International Conference on Knowledge Science, Engineering and Management (KSEM), 2016, Springer, Passau, German. 2016.10. (KSEM 2016, CCF C)

[11]. Feng Jiang, Min Gao*, Qingyu Xiong, Junhao Wen, and Yi Zhang, Robust Social Recommendation Techniques: A Review, Lecture Notes in Computer Science, the 17th International Conference on Informatics and Semiotics in Organisations (ICISO), S?o Paulo, Brazil, 2016.08. (EI)

[12]. Liyan Cui, Min Gao, Qingyu Xiong, Junhao Wen, and Ning Xie, Temperature Monitoring Based on Image Processing for Intelligent Microwave Heating, Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015,Qingdao, China, 2015.07. (EI)

[13]. Min Gao* and Zhongfu Wu, EPN-based method for web service composition. Lecture Notes in Computer Science, 2009, 5854: 345-354. (EI)

[14]. Min Gao* and Zhongfu Wu, Personalized Context-aware Collaborative Filtering based on Neural Network and Slope One, Lecture Notes in Computer Science, 2009, 5738: 109-116. (EI)

[15]. Min Gao* and Zhongfu Wu, Incorporating pragmatic information in personalized recommendation systems, The 11th International Conference on Informatics and Semiotics in Organisations, 2009, Beijing, China, 156-164. (EI)

[16]. Min Gao*, Zhongfu Wu, and Kecheng Liu, Pragmatic Grid for personalized resource provision, IEEE International Conference on Service Operations and Logistics, and Informatics, 2008: 1023-1028. (EI)

[17]. Min Gao*, et al., An EPN-based method for web service composition, in Proceedings of the 2008 IEEE International Conference on Networking, Architecture, and Storage, 2008: 163-164. (EI)

 

l  学术期刊论文 

[18]. Min Gao*, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, Shun Li, From Similarity Perspective: A Robust Collaborative Filtering Approach for Service Recommendations. Frontiers of Computer Science, 2018(5), 1-16. (SCI CCF C)

[19]. Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong. A Social Recommender Based on Factorization and Distance Metric Learning. IEEE Access, 2017(5), 21557-21566. (SCI impact factor3.557)

[20]. Junliang YuMin Gao*, Wenge Rong, Wentao Li, Qingyu Xiong and Junhao Wen, Hybrid Attacks on Model-Based Social Recommender Systems. Physica A Statistical Mechanics & Its Applications, 2017 (483), 171-181. (SCI impact factor:2.132)

[21]. Min Gao*, Xiang Li, Wenge Rong, Lulan Yu, Xinyu Xiao, Junhao Wen and Qingyu Xiong, The Performance of Location Aware Shilling Attacks in Web Service Recommendation, International Journal of Web Services Research, 2017, 14(3): 53-66. (SCI)

[22]. Wentao Li, Min Gao*, Hua Li, Jun Zeng, Qingyu Xiong, and Sachio Hirokawa, Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis, IEICE Transactions on Information and System, 2016, E99–D (10): 2600-2611. (SCI)

[23]. 谭侃高旻*, 李文涛田仁丽文俊浩熊庆宇基于双层采样主动学习的社交网络虚假用户检测方法自动化学报, 2017, 43(3): 436-449. (EI)

[24]. 李文涛高旻*,李华,熊庆宇,文俊浩,凌斌一种基于流行度分类特征的托攻击检测算法自动化学报, 2015 41 (9) 1563-1576. (EI)

[25]. Min Gao*, Renli Tian, Junhao Wen, and Qingyu Xiong, Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems, PLoS ONE 2015, 10(8) e0135155: 1-22. (SCI)

[26]Min Gao*, Quan Yuan, Bin Ling, and Qingyu Xiong, Detection of Abnormal Item Based on Time Intervals for Recommender Systems, The Scientific World Journal, 2014, 845897: 1-8. (SCI)

[27]. Min Gao*, Bin Ling, Quan Yuan, Qingyu Xiong, and Linda Yang, A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems, Mathematical Problems in Engineering, 2014, 162521: 1-8. (SCI)

[28]. Feng Jiang, Min Gao*, and Hui Xia, An Evaluation Approach Based on Word-of-Mouth for Trust Models in Recommendation Systems, Computer Modelling and New Technologies, 2014, 18(11): 605-609. (EI)

[29]. Min Gao*, Yunqing Fu, Yixiong Chen, and Feng Jiang. User-Weight Model for Item-based Recommendation Systems, Journal of Software, 2012, 7(9): 2133-2140. (EI)

[30]. Min Gao*, Yue Ma, Qingyu Xiong, Junhao Wen, Huixi Tan, and Chengliang Wang, Construction and Implementation of Surveillance System for Software Engineering Oriented Trainings, International Review on Computers and Software, 2012, 7(4): 1855-1859. (EI)

[31]. Min Gao*, Zhongfu Wu, and Feng Jiang. "Userrank for item-based collaborative filtering recommendation." Information Processing Letters 111, no. 9 (2011): 440-446. (SCI CCF C)

[32]. Min Gao*, Zhongfu Wu, and Feng Jiang, An Anti-"Shilling Attacks" Collaborative Filtering Algorithm Based on User Trust Ranks and Items, Journal of Chongqing University (Natural Science) 威尼斯在线平台学报(自然科学版), 2011, 34(5): 135-142. (In Chinese) (EI)

[33]. Min Gao* Kecheng Liu, and Zhongfu Wu. "Personalisation in web computing and informatics: Theories, techniques, applications, and future research." Information Systems Frontiers 12, no. 5 (2010): 607-629. (SCI impact factor3.232)

[34]. Min Gao* and Zhongfu Wu, Incorporating Personalized Contextual Information in Item-based Collaborative Filtering Recommendation. Journal of Software. 2010, 5(7): 729-736. (EI)

[35]. Min Gao and Zhongfu Wu*, Personalized context and item based collaborative filtering recommendation, Journal of Southeast University (Natural Science) 东南大学学报(自然科学版), 2009, 9(39): 27-31. (In Chinese) (EI)




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