推荐系统击，社会计算

基本信息

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职称：副教授/硕导

E-mail:：gaomin@cqu.edu.cn
研究方向：个性化推荐系统、异常模式检测、社会媒体挖掘

个人简介

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高旻，博士，副教授、硕士生导师，IEEE、中国计算机学会CCF、中国人工智能学会CAAI会员，CCF服务计算专委会委员，CCF软件工程专委会通信委员，CAAI青年工作委员会委员；美国亚利桑那州立大学访问学者(合作导师：Huan Liu教授)、英国雷丁大学访问学者(合作导师：Kecheng Liu教授)。研究领域包括推荐系统、异常检测、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、重庆市自然科学基金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40余篇(Google Scholar Link)，并担任多个国际权威期刊和会议评审人，CIKM 2019、IJCAI 2020等会议的PC Member。

动态

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[ 2020/12 ] 团队同学张峻伟获国家奖学金

[ 2020/10 ]一篇论文被TKDE（JCR Q1 CCF A）接收 [link]

[ 2020/10 ] 与美国亚利桑那州立大学刘欢及Amrita、伊利诺伊理工大学舒凯合作形成一篇论文[link]

[ 2020/10 ] 一篇论文被ICDE（CCF A）接收

[ 2020/09 ]一篇论文被KAIS（JCR Q1CCF B）接收 [link]

[ 2020/09 ] 一篇论文被Information Sciences（SCI 中科院一区 JCR Q1 CCF B）接收 [link]

[ 2020/09 ] 一篇论文被ICONIP2020（CCF C）接收

[ 2020/08 ] 受邀担任IJCAI2021 PC Member

[ 2020/07 ] 团队同学余俊良获重庆市优秀硕士论文

[ 2020/06 ] 一篇论文于电子学报 (CCF A) 2020年第6期刊出

[ 2020/04 ] 两篇论文分别被IEEE Cloud 2020(CCF C)、IJCNN 2020(CCF C)接收

[ 2020/03 ] 一篇基于生成式对抗网络的推荐系统综述论文被"专知"报道[link]

[ 2020/01 ]受邀担任IJCAI 2020 PC Member

[ 2019/12 ]团队同学卢珍妮、王昕毅赴澳大利亚悉尼参加学术会议

课题

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[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

项目

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RecQ-推荐算法实验平台

Yue-音乐推荐算法实验平台

SDLib-托攻击检测实验平台

Datasets-数据集

代表性论著

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[专著] 高旻, 李文涛.面向社会化推荐的托攻击及检测研究.科学出版社,2017.01, ISBN: 9787030503367

[论文] Wentao Li,Min Gao*, Fan Wu, Wenge Rong, Junhao Wen, and Lu Qin. "Manipuating Black-Box Networks for Centrality Promotion."The 37th IEEE International Conference on Data Engineering.(ICDE2021,CCF A).

[论文] 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 2018,CCF B)[code].

[论文] 宋宇琦,高旻*,李骏东,荣文戈,熊庆宇.网络欺凌检测综述.电子学报, 2020, 48(6): 1220-1229.

[论文] 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)

[论文] 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)[已获权发明专利]

[论文]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 IF：3.232)

会议论文

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[28] Wentao Li,Min Gao*, Fan Wu, Wenge Rong, Junhao Wen, and Lu Qin. "Manipuating Black-Box Networks for Centrality Promotion."The 37th IEEE International Conference on Data Engineering.(ICDE2021,CCF A).

[27] Runsheng Wang,Min Gao*, Junwei Zhang, Quanwu Zhao. "JUST-BPR：Identify Implicit Friends with Jump and Stay for Social."The 27th International Conference on Neural Information Processing.（ICONIP 2020, CCF C)

[26] Zehua Zhao,Min Gao*, Fengji Luo, Yi Zhang, and Qingyu Xiong. "LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection."International Joint Conference on Neural Networks.(IJCNN 2020, CCF C)[code]

[25] Jia Wang,Min Gao*, Zongwei Wang, Runsheng Wang, and Junhao Wen. "Robustness Analysis of Triangle Relations Attack in Social Recommender Systems."IEEE Cloud 2020(CCF C)

[24] Junliang Yu,Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, and Qinyong Wang. "Generating Reliable Friends via Adversarial Training to Improve Social Recommendation."The19th IEEE International Conference on Data Mining.(ICDM 2019,CCF B)[code]

[23] Zongwei Wang,Min Gao*, Xinyi Wang, Junliang Yu, Qingyu Xiong, and Junhao Wen. "A Minimax Game for Generative and Discriminative Sample Models in Recommendation Systems"The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining.(PAKDD 2019,CCF C)[code].

[22]Junwei Zhang,Min Gao*, Junliang Yu, Xinyi Wang, Yuqi Song, and Qingyu Xiong. "Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation" 2019International Joint Conference on Neural Networks.(IJCNN 2019,CCF C)[code].[21] Zhenni Lu,Min Gao*, Xinyi Wang, Junwei Zhang, Haider Ali, and Qingyu Xiong. "SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning."The 26th International Conference on Neural Information Processing. (ICONIP 2019, CCF C)[code]

[20]Xinyi Wang,Min Gao*, Zhenni Lu, Zongwei Wang, Junwei Zhang, and Yi Zhang."DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation."The 26th International Conference on Neural Information Processing. (ICONIP 2019, CCF C)[code]

[19] 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 2018,CCF B)[code].

[18] 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)[code]

[17] 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)

[16]Siqi Xiang,Wenge Rong,Zhang Xiong,Min Gao,Qingyu Xiong,Visual and Audio Aware Bi-Modal Video Emotion Recognition,Proceedings of the 39th Annual Meeting of the Cognitive Science Society(CogSci 2017, CCF B)

[15] 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).

[14] 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).

[13] 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).

[12] Nan Jiang, Wenge Rong,Min Gao, Yikang Shen, Zhang Xiong(2017).Exploration of tree-based hierarchical Softmax for recurrent language models.InTwenty-Sixth International Joint Conference on Artificial Intelligence2017,07 (IJCAI 2017, CCF A).

[11] Wentao Li,Min 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)[code]

[10] 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)

[09] 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)

[08] 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)

[07] 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), São Paulo, Brazil, 2016.08. (EI)

[06] 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)

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

[04]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)

[03]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)

[02]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)

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

期刊论文- Journal Papers

[22]Junliang Yu, Hongzhi Yin, Jundong Li,Min Gao, Zi Huang, Lizhen Cui.Enhancing Social Recommendation with Adversarial Graph Convolutional Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE)（Accepted）(SCI JCR Q1 CCF A) [link]

[21] Chao Wu, Qingyu Xiong,MinGao, Qiude Li, Yang Yu, Kaige Wang.A Relative Position Attention Network for Aspect-Based Sentiment Analysis. Knowledge and Information Systems (KAIS) (2020): 1-15(SCI JCR Q1 CCF B)[link]

[20]Min Gao₁, Junwei Zhang₁, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong.Recommender Systems Based on Generative Adversarial Networks：A Problem-Driven Perspective.Information Sciences,2021 (546):1166-1185.(SCI 中科院一区 JCR Q1 CCF B)[link]

[19]宋宇琦,高旻*,李骏东,荣文戈,熊庆宇.网络欺凌检测综述.电子学报, 2020, 48(6): 1220-1229. (CCF A)

[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(中国计算机科学前沿:英文版), 2019(2): 1-16. (SCI CCF C)

[17] 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 IF: 3.557)[code]

[16] Junliang Yu,Min 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)

[15]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)

[14] 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)[code]

[13] 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)

[12] 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)

[11]Hui Xia, Bin Fang,Min Gao, Hui Ma, Yuanyan Tang, and Jing Wen.A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique,Information Sciences 306 (2015): 150-165.(SCI CCF B,IF: 4.305)

[10]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)

[09]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)

[08] 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)

[07]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)

[06]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)

[05]Min Gao*, Zhongfu Wu, and Feng Jiang. "Userrank for item-based collaborative filtering recommendation."Information Processing Letters111, no. 9 (2011): 440-446. (SCI CCF C)

[04]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)重庆大学学报（自然科学版）, 2011, 34(5): 135-142. (In Chinese) (EI)

[03]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 IF：3.232)

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

[01]Min Gaoand 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)