<code id="kwfd7"><dd id="kwfd7"></dd></code>
<th id="kwfd7"></th>
  • <code id="kwfd7"><menu id="kwfd7"></menu></code>
    <th id="kwfd7"><address id="kwfd7"></address></th>

    <optgroup id="kwfd7"><xmp id="kwfd7">
  • <code id="kwfd7"><thead id="kwfd7"></thead></code>

        <code id="kwfd7"></code>

        教師信息

        個人照片

        姓名

        吳樂

        性別

        /_upload/article/images/32/35/893b7db14bb2814d068393d38018/47712bb9-1444-41dc-8f80-527fc78c1e6a.jpg

        出生年月

        198806

        最終學位

        工學博士

        畢業學校

        合肥工業大學

        從事專業


        職務


        所屬院系

        計算機與信息學院

        所屬科室(研究所)

        多媒體計算研究所

        職稱

        副教授

        聯系方式

        辦公電話


        Email

        lewu AT hfut.edu.cn, lewu.ustc AT     gmail.com

        通訊地址

        合肥工業大學翡翠湖校區計算機與信息學院,科教樓A904

        郵編

        230601

        簡歷


        吳樂,女,博士,現任合肥工業大學計算機與信息學院副教授,碩士生導師。于2015年博士畢業于中國科學技術大學,師從陳恩紅教授。曾在美國北卡羅來納大學夏洛特分校(2014.12-2015.07),微軟亞洲研究院(2017.12-2018.05,2013.09-2014.02),諾基亞研究院(2012.05-2012.10),阿里巴巴集團(2010.03-2010.08)等知名研究機構交流訪問。主要研究領域包括機器學習、數據挖掘,特別關注于以用戶為中心的智能應用,如個性化推薦、社交網絡分析等。目前主持國家、省部級及企業合作項目十余項。近五年在國際期刊(如 IEEE TKDE、IEEE TSMC、IEEE TMM、ACM TIST、ACM TOIS.)及國際會議(如SIGIR、WWW、IJCAI、AAAI、KDD、SDM、ICDM、CIKM、PAKDDD等)發表論文四十余篇。2020年獲得安徽省科協首屆青年人才托舉計劃,2017年獲得中國人工智能學會優秀博士論文獎,2015 年獲得數據挖掘頂級國際會議之一SDM 2015最佳論文提名獎,2013年獲得CCML優秀學生論文獎。已實審(授權)發明專利數十項。擔任數十個國際期刊(如IEEE TKDE、IEEE TNNLS、IEEE TMM、ACM TIST、 KAIS、 WWW J.),國內期刊(如FCS、軟件學報、計算機應用),及二十余次國際頂級會議的審稿人。

          

        詳細信息請參考個人主頁:http://www.escience.cn/people/lewu/index.html

        研究方向


        歡迎對機器學習及大數據分析及應用感興趣的學生聯系畢業設計或者報考研究生!

        研究方向
        1.機器學習、深度學習
        2.大數據分析及應用
        3.以用戶為中心的智能信息挖掘及應用:如推薦系統,社交網絡等


        博士畢業論文:面向在線用戶消費行為理解的數據挖掘方法研究
        2017年中國人工智能學會優秀博士論文)

          

        主持科研項目

        1.項目主持人,國家自然科學基金面上項目,2020.01-2023.12

        2.項目主持人,國家自然科學基金青年項目,2017.01-2019.12     

        3.合作單位負責人,國家自然科學基金重點支持項目,2020.01-2023.12(排序第2

        4.子課題負責人,國家重點研發計劃,2017.09-2021.09

        5.項目主持人,安徽省自然科學基金,2017.07-2019.06

        6.項目主持人,CCF-騰訊犀牛鳥基金,2018.10-2019.12

        7.項目主持人,科大訊飛合作項目,2019.06-2020.05

        教學工作


          

          1.承擔本科生課程《深度學習原理及應用》

          2.承擔研究生課程《深度學習》

          3.指導工大本科生省級大創項目一項,校級大創項目一項

          4.指導工大研究生及博士生發表IEEE/ACM 匯刊系列或者CCF推薦A類會議論文12篇(包括IEEE/ACM 匯刊系列6篇,及CCF推薦的A類會議論文7


        獲獎情況



        1.2020.06 安徽省科協首屆青年科技人才托舉計劃(計算機方向僅一名)

        2.2017.05 微軟亞洲研究院鑄星學者訪問計劃

        3.2017.07 中國人工智能學會優秀博士論文

        4.2015.03  SDM 2015CCF推薦B類會議)最佳論文提名

        5.2013.08  CCML(中國機器學習大會)優秀學生論文


        主要論著



        代表性論文

        [1]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang. Joint Item 

        Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network 

        Approach. The 42th International ACM SIGIR Conference on Research and Development in 

        Information Retrieval(SIGIR 2020), accepted, July 25-30, Xi’an, China. (第二作者為指導

        大碩士研究生)

        [2]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang. Learning to 

        Transfer Graph Embeddings for Inductive Graph based Content Recommendation. The 42th 

        International ACM SIGIR Conference on Research and Development in Information Retrieval

        (SIGIR 2020), accepted, April 20-24, Taipei, China.(第二作者為指導工大碩士研究生)

        [3]Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang. Dual Learning for 

        Explainable Recommendation: Towards Unifying User Preference Prediction and Review 

        Generation. The Web Conference (WWW 2020), accepted, April 20-24, Taipei, China.(第一

        作者為指導工大博士研究生)

        [4]Lei Chen, Le Wu*, Richang Hong, Kun Zhang, Meng Wang. Revisiting Graph based 

        Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. The 34th 

        AAAI Conference on Artificial Intelligence (AAAI 2020), accepted, February   7-12, New 

        York, USA.(第一作者為指導工大博士研究生)

        [5]Junwei Li,Le Wu*, Richang Hong, Kun Zhang, Yong Ge, Yan Li. A Joint Neural Model 

        for User Behavior Prediction on Social Networking Platforms.ACM Transactions on Intelligent 

        Systems and Technology, accepted, 2020.(第二作者為指導工大博士研究生)

        [6]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang. A Hierarchical 

        Attention Model for Social Contextual Image Recommendation.IEEE Transactions on 

        Knowledge and Data Engineering(IEEE TKDE), accepted, 2019(第二作者為指導工大博士

        研究生)

        [7]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong,Xiting Wang, Meng Wang. A Neural 

        Influence Diffusion Model for Social Recommendation. The 42th International ACM SIGIR 

        Conference  on Research and Development in Information Retrieval (SIGIR 2019), 235-244, 

        July 21-25,  Pairs, France.(第二作者為指導工大博士研究生)

        [8]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang. 

        Personalized Multimedia Item and Key Frame Recommendation.The 28th International Joint

        Conference on Artificial Intelligence (IJCAI 2019), 1431-1437, August 10-16, Macao, China.

        (第二作者及第三作者分別為指導工大博士研究生及碩士研究生)

        [9]Lei Chen,Le Wu, Zhenzhen Hu, Meng Wang. Quality-aware Unpaired Image-to-image

         Translation. IEEE Transactions on Multimedia (IEEE TMM), 21(10):2664-2674, October,

        2019. (第一作者為指導工大碩士研究生)

        [10]Richang Hong, Yuan He, Le Wu*, Yong Ge, Xingdong Wu. Deep Attributed Network 

        Embedding by Preserving Structure and Attribute Information. IEEE Transactions on Systems 

        Man and Cybernetics: Systems (IEEE TSMC: Systems), accepted,2019.(第二作者為指導工

        大碩士研究生)

        [11]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. Collaborative Neural Social 

        Recommendation. IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE 

        TSMC: Systems), accepted, 2018.(第二作者為指導工大碩士研究生)

        [12]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Meng Wang. Product Adoption 

        Rate Prediction in a Competitive Market. IEEE Transactions on Knowledge and Data 

        Engineering(IEEE TKDE), 30(2):325-338, February, 2018.

        [13]Peijie Sun, Le Wu*, Meng Wang. Attentive Recurrent Social Recommendation. The 41th 

        International ACM SIGIR Conference on Research and Development in Information Retrieval 

        (SIGIR 2018), 85-194, July 8-12, Ann Anbor, MI, USA. (第一作者為指導工大碩士研究

        生)

        [14]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang. 

        Modeling the Evolution of Users' Preferences and Social Links in Social Networking 

        Services.  IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE),29(6):

        1240-1253, June 2017.

        [15]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie.   

        Relevance  meets Coverage: A Unified Framework to Generate Diversified Recommendation.

        ACM  Transactions on Intelligent Systems and Technology(ACM TIST), 7(3): 39, February 

        2016.

        [16]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang. Modeling Users 

        Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, 

        The 30th AAAI Conference on Artificial Intelligence(AAAI 2016), 279-286, Phoenix, Arizona 

        USA, February 12-17, 2016.

        [17]Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tang. Product Adoption Prediction: A 

         Multi-factor View. 2015 SIAM International Conference on Data Mining (獲最佳論文提名,

        Best of SDM 2015), 154-162,Vancouver, BC, Canada, April 30-May 2, 2015.

        [18]Le Wu, Enhong Chen, Qi Liu, Linli Xu,Tengfei Bao, Lei Zhang.Leveraging Tagging for 

         Neighborhood-aware Probabilistic Matrix Factorization. The 21st ACM Conference on

         Information and Knowledge Management (CIKM'2012), 854-1858, Maui, HI, USA, 

         October 29-November 02, 2012.



        全部論文列表

        期刊論文

        [J17] Junwei Li, Le Wu*, Richang Hong, Kun Zhang, Yong Ge, Yan Li. A Joint Neural Model

         for User Behavior Prediction on Social Networking Platforms. ACM Transactions on 

        Intelligent Systems and Technology, accepted, 2020.

        [J16] Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, 

        Guoping Hu. Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge 

        Proficiency of Students. ACM Transactions on Information Systems (ACM TOIS), accepted, 2020.

        [J15]Min He, Hao Guo, Guangyi Lv,Le Wu, Yong Ge, Enhong Chen, Haiping Ma. Leveraging Proficiency and Preference for Online Karaoke Recommendation.Frontiers of Computer 

        ScienceFCS), 14(2): 273-290, 2020.

        [J14] Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He.

        Understanding the Users and Items by Mining a Novel Danmu Dataset. IEEE Transactions on 

        Big Data (IEEE TBD), accepted, 2019.

        [J13] Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao 

        Wu. Multi-Level Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE TSMC: Systems)

        accepted, 2019.

        [J12]Le Wu,Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang.A Hierarchical 

        Attention Model for Social Contextual Image Recommendation.IEEE Transactions on 

        Knowledge and Data Engineering (IEEE TKDE), accepted, 2019.

        [J11]Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang. Quality-aware Unpaired Image-to-image Translation.IEEE Transactions on Multimedia (IEEE TMM), 21(10):2664-2674, October 2019.

        [J9]Richang Hong, Yuan He, Le Wu*,Yong Ge, Xindong Wu. Deep Attributed Network 

        Embedding by Preserving Structure and Attribute Information. IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE TSMC: Systems), accepted, 2019.

        [J8] Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. Collaborative Neural Social 

        Recommendation.IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE TSMC: Systems), accepted, 2018.

        [J7]Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen. Illuminating Recommendation by 

        Understanding the Explicit Item Relations. Journal of Computer Science and Technology 

        (JCST), 33(4):739-755, 2018.

        [J6]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Meng Wang. Product Adoption 

        Rate Prediction in a Competitive Market. IEEE Transactions on Knowledge and Data 

        Engineering (IEEE TKDE), 30(2):325-338, February 2018. 

        [J5] Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang. 

        Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. 

        IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 29(6): 1240-1253, 

        June 2017..

        [J4]朱天宇,黃振亞,陳恩紅,劉淇,吳樂,蘇喻,陳志剛,胡國平,基于認知診斷的個性化試題推薦方法. 計算機學報,vol. 40(1): 176-191, 2017.

        [J3]Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu(吳樂), Chu Guan. From 

        Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM 

        Transactions on the Web (ACM TWEB), 10(4): 22:1-22:38, December 2016.

        [J2] Le Wu(吳樂), Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie.

        Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendation. 

        ACM Transactions on Intelligent Systems and Technology (ACM TIST),, 7(3): 39:1-39:30, February 2016.

        [J1]孫光福,吳樂,劉淇,朱琛,陳恩紅.基于時序行為的協同過濾推薦算法. 軟件學報,vol. 24(11), pages: 2721-2733, 2013.(EI, CCML 2013優秀學生論文獎)


        會議論文

        [C32] Le Wu, Yonghui Yang, Kun Zhang,Richang Hong, Yanjie Fu, Meng Wang. Joint Item 

        Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network 

        Approach. The 43rd International ACM SIGIR Conference on Research and Development in 

        Information Retrieval(SIGIR 2020), accepted, July 25-30, Xi’an, China.

        [C31] Le Wu, Yonghui Yang, Lei Chen, Defu Lian,Richang Hong, Meng Wang. Learning to 

        Transfer Graph Embeddings for Inductive Graph based Recommendation. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

        (SIGIR 2020), accepted, Xi’an, China.

        [C30] Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang. Dual Learning

        for Explainable Recommendation: Towards Unifying User Preference Prediction and Review 

        Generation. The Web Conference (WWW 2020), accepted, April 20-24, Taipei, China.

        [C29] Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen. Graph Convolutional 

        Networks with Markov Random Field Reasoning for Social Spammer Detection. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), accepted, February 7-12, New York, USA.

        [C28] Lei Chen, Le Wu*, Richang Hong, Kun Zhang, Meng Wang. Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), accepted, February 7-12, New York, USA.

        [C27]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li. Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. The 25th ACM SIGKDD 

        International Conference on Knowledge Discovery and Data Mining (KDD 2019), 207-215, August 4-8, Anchorage, Alaska, USA, 2019.

        [C26] Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang. A Neural Influence Diffusion Model for Social Recommendation.The 42th International ACM SIGIR 

        Conference on Research and Development in Information Retrieval(SIGIR 2019), 235-244, 

        July 21-25, Pairs, France.

        [C25] Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang. 

        Personalized Multimedia Item and Key Frame Recommendation.The 28th International Joint 

        Conference on Artificial Intelligence(IJCAI 2019), 1431-1437, August 10-16, Macao, China.

        [C24] Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W Zheng, Qi Liu. Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 4681-4688, August 10-16, Macao, China.

        [C23]Kun Zhang, GuangyiLv,Enhong Chen, Le Wu, Qi Liu, C.L. Philip Chen. Context-aware Dual Attention Network for Natural Language Inference. The 23th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), 185-198, Apirl 14-17, Macau, 

        China.

        [C22]Kun Zhang, GuangyiLv,Linyuan Wang, Le Wu, Fangzhao Wu, Xing Xie. DRr-Net: 

        Dynamic Re-read Network for Sentence Semantic Understanding.The Thirty-Third AAAI 

        Conference on Artificial Intelligence (AAAI 2019), 7442-7449, Jan.17- Feb.20, Hawaii, USA.

        [C21]Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li. Efficient Region Embedding 

        with Multi-view Spatial Networks: A Perspective of Locality-Constrained Spatial 

        AutocorrelationsThe Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 906-913, Jan.17- Feb.20, Hawaii, USA.

        [C20]Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen. Zero-shot Learning: An Energy based Approach.The 18th IEEE International Conference on Data Mining (ICDM 

        2018), 797-806, November 17-20, Singapore.

        [C19] Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu. 

        Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference. The 18th IEEE International Conference on Data Mining (ICDM 2018), 747-756, November 17-20, Singapore.

        [C18]Xiting Wang,Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie. A Reinforcement 

        Learning Framework for Explainable Recommendation. The 18thIEEE International Conference on Data Mining (ICDM 2018), 587-596, November 17-20, Singapore.

        [C17]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen. 

        Multiple Pairwise Ranking with Implicit Feedback. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 1727:1730, October 22-26, Torino, 

        Italy.

        [C16]Hongfeng Bao, Le Wu*, Peijie Sun. Contextual Attention Model for Social Recommendation. The 19th Pacific-Rim Conference on Multimedia ( PCM 2018), 630-641, Hefei, China.

        [C15]Peijie Sun, Le Wu*,Meng Wang. Attentive Recurrent Social Recommendation.The 41st 

        International ACM SIGIR Conference on Research and Development in Information Retrieval

        (SIGIR 2018), 185-194, July 8-12, Ann Anbor, MI, USA.

        [C14]Wenjuan Yang, Le Wu, Xueliang Liu, Chunxiao Fan. MFCC: An Efficient and Effective Matrix Factorization Model based on Co-clustering. The 9th International Conference on 

        Internet Multimedia Computing and Service (ICIMCS 2017), 360-370, Qingdao, 2018.

        [C13] Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu. Tracking knowledge Proficiency of Students with Educational Priors. The 26th ACM 

        International Conference on Information and Knowledge Management (CIKM 2017), 989-998, Singapore, November 6-10, 2017.

        [C12]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen*, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, The 23th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), 625-634, Halifax, Nova Scotia, Canada, August 13-17, 2017.

        [C11]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang. Incremental Matrix Factorization: A Linear Feature Transformation Perspective. The 26th International 

        Joint Conference on Artificial Intelligence (IJCAI 2017), 1901-1908, Melbourne, Australia, August 19-25, 2017

        [C10] Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu. Selecting Valuable Customers 

        for Merchants in E-commerce Platforms, The 16th IEEE International Conference on Data 

        Mining (ICDM 2016), 1281-1286, Barcelona, December 12-15, 2016.

        [C9] Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang. Modeling Users Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, The 30th AAAI Conference on Artificial Intelligence (AAAI 2016), 279-286, Phoenix, Arizona USA, 

        February 12-17, 2016.

        [C8] Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan. Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. The 21st International Conference on Database 

        Systems for Advanced Applications (DASFAA 1016), 351-366, Dallas, TX, USA, April 16-19, 2016.

        [C7] Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Minghui Qiu. Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. The 20th Pacific-Asia 

        Conference on Knowledge Discovery and Data Mining (PAKDD 2016), 130-142, Auckland, New Zealand, April 19-22, 2016.

        [C6] Guowei Ma, Qi Liu, Le Wu, Enhong Chen. Identifying Hesitant and Interested Customers for Targeted Social Marketing, The 19th Pacific-Asia Conference on Knowledge Discovery 

        and Data Mining (PAKDD 2015) , 576-590, Ho Chi Minh City, Vietnam, May 19-22, 2015.

        [C5] Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tang. Product Adoption Prediction: A Multi-factor View, The 15th SIAM International Conference on Data Mining (最佳論文提名,Best of SDM 2015 ), 154-162,Vancouver, BC, Canada, April 30-May 2, 2015.

        [C4] Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui. Predicting 

        Smartphone Adoption Social Networks. The 19th Pacific-Asia Conference on Knowledge 

        Discovery and DataMining(PAKDD 2015), 472-485, Ho Chi Minh City, Vietnam, May 19-22, 2015.

        [C3] Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen. Investment Recommendation in 

        P2P Lending: A Portfolio Perspective with Risk Management, The 14th IEEE International 

        Conference on Data Mining (ICDM 2014), 1109-1114, Shenzhen, China, December 14-17, 

        2014.

        [C2] Gang Xu, Linli Xu, Le Wu. Utilizing Social and Behavioral Neighbors for Personalized 

        Recommendations, The 10th International Symposium on Neural Networks(ISNN 2013), 541-551, Dalian, China, July 4-6, 2013. (EI)

        [C1] Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang. Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization, The 21st ACM Conference on 

        Information and Knowledge Management (CIKM 2012), 1854-1858, Maui, HI, USA, October 29-November 02, 2012.

          


          


        国民彩票在线登录app