个人简介

吴乐

吴乐 • 讲师

  |  

联系方式:

计算机与信息学院
合肥工业大学翡翠湖校区
安徽省合肥市蜀山区丹霞路485号

电话:无
传真:无

更新时间:  2018-11-02





个人经历

  • 2016.01-至今,           合肥工业大学                            讲师,硕士生导师
  • 2010.09-2015.11,      中国科学技术大学                     硕博连读             导师:陈恩红 教授
  • 2014.12-2015.07,      北卡罗来纳大学夏洛特分校        访问学者             导师: 葛永   博士
  • 2013.09-2014.05,      微软亚洲研究院                         研究实习生         导师: 谢幸   博士
  • 2012.05-2012.10,      诺基亚北京研究院                      研究实习生         导师:田继雷博士
  • 2010.03-2010.08,      阿里巴巴公司技术部                  开发工程师  


研究方向

  1. 机器学习、深度学习 ;
  2. 大数据分析及应用(数据挖掘、推荐系统、社交网络等);
  3. 多媒体分析

获奖情况

  • 2017.06,    微软铸星学者访问计划
  • 2017.05,    中国人工智能学会优秀博士论文  
  • 2015.09,     博士研究生国家奖学金
  • 2015.05,     SDM 2015 学生旅行奖
  • 2015.03,     SDM 2015(CCF推荐B类会议)最佳论文提名
  • 2014.10,     微软亚洲研究院 优秀实习生
  • 2014.09,     中国航天科工奖学金
  • 2013.08,     CCML (中国机器学习大会)优秀学生论文
  • 2012.10,     腾讯优秀奖
  • 2006.09-2010.06, 宝钢优秀学生奖、国家奖学金、一等奖学金等

科研项目(主持人)

  • 2018.08-2019.07,  腾讯犀牛鸟计划
  • 2018.05-2019.12,  校学术新人提升计划B计划
  • 2017.09-2019.12,  国家自然科学基金青年项目
  • 2017.09-2021.06,  国家重点研发计划子课题负责人
  • 2017.07-2019.06,  安徽省自然科学基金
  • 2017.01-2018.12,  模式识别国家重点实验室开放课题
  • 2016.09-2018.08,  校博士点专项基金


主要论著

  1. 代表性期刊论文(#通讯作者):
  • Le Wu(吴乐), Peijie Sun, Richang Hong, Yong Ge, Meng Wang, Collaborative Neural Social Recommendation, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), accepted . 
  • Le Wu(吴乐), Qi Liu, Richang Hong,Enhong Chen, Yong Ge, Xing Xie, Meng Wang Product Adoption Rate Prediction in a Competitive Market,IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE),30(2), 325-338,Feb 2018. (SCI, CCF推荐A类期刊) . 
  • Le Wu(吴乐), 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 (SCI, CCF推荐A类期刊) .
  • Le Wu(吴乐), Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie. Relevance meets Coverage: A Uni ed Framework to Generate Diversi commendations, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 39, February 2016. (SCI, SCI一区期刊) 
  • Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen. Illuminating Recommendation by Understanding the Explicit Item Relations. Journal of Computer Science Technology, 33(4):739-755,2018.(SCI)
  • Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu(吴乐), 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, December 2016.
  • 朱天宇,黄振亚,陈恩红,刘淇,吴润泽,吴乐,苏喻,陈志刚,胡国平,基于认知诊断的个性化试题推荐方法. 计算机学报,40(1): 176-191,2017年1月 .
  • 孙光福,吴乐,刘淇,朱琛,陈恩红. 基于时序行为的协同过滤推荐算法. 软件学报,vol. 24(11), pages: 2721-2733, 2013. ( 获CCML 2013优秀学生论文奖)

代表性会议论文(#通讯作者):

2018年:

  • Peijie Sun, Le Wu(吴乐)# ,Meng Wang. Attentive Recurrent Social Recommendation. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2018),:185-194, Ann Arbor, USA, 2018. (EI, CCF推荐A类会议)
  • Hongfeng Bao,Le Wu(吴乐)# , Peijie Sun. Contextual Attention Model for Social Recommendation. The Pacific-Rim Conference on Multimedia (PCM 2018), accepted, Hefei, 2018. (EI, CCF推荐C类会议)
  • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, and Han Wu. Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference. The IEEE International Conference on Data Mining (ICDM), accepted, Singapore 2018.(EI, CCF推荐B类会议)
  • Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie. A Reinforcement Learning Framework for Explainable Recommendation. The IEEE International Conference on Data Mining (ICDM), accepted, Singapore 2018.(EI, CCF推荐B类会议)
  • 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) , accepted, Torino, Italy.

2017年:

  • Xunpeng Huang, Le Wu(吴乐), 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), accepted, Melbourne, Australia, August 19-25, 2017. (EI, CCF推荐A类会议)
  • Yuying Chen, Qi Liu, Zhenya Huang, Le Wu(吴乐), Enhong Chen, Runze Wu, Yu Su and Guoping Hu, Tracking Knowledge Proficiency of Students with Educational Priors, CIKM 2017, accepted. (EI, CCF推荐B类会议)
  • Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu(吴乐), Tracking the Dynamics in Crowdfunding, The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2017), accepted, Halifax, Nova Scotia, Canada, August 13-17, 2017.(EI,CCF推荐A类会议)
  • 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.(EI)

2016年:

  • Le Wu(吴乐), 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), 279-286, 2016. (EI, CCF推荐A类会议)
  • Yijun Wang, Le Wu(吴乐), Zongda Wu, Enhong Chen, Qi Liu. Selecting Valuable Customers for Merchants in E-commerce Platforms, The 16th IEEE International Conference on Data Mining (ICDM), pages: 1281-1286, 2016. (EI, CCF推荐B类会议)
  • Ming He, Yong Ge, Le Wu(吴乐), Enhong Chen, Chang Tan. Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. The 21th International Conference on Database Systems for Advanced Applications (DASFAA), 351-366, 2016.(EI, CCF推荐B类会议)
  • Guangming Guo, Feida Zhu, Enhong Chen, Le Wu(吴乐), Qi Liu, Minghui Qiu. Personal Credit Pro_ling via Latent User Behavior Dimensions on Social Media. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 130-142, 2016. (EI, CCF推荐C类会议)

2015年及以前:

  • Le Wu(吴乐), Qi Liu, Enhong Chen, Xing Xie, Chang Tang. Product Adoption Prediction: A Multi-factor View, 2015 SIAM International Conference on Data Mining (获最佳论文提名,Best of SDM 2015 ), pages:154-162,2015. (EI, CCF推荐B类会议 )
  • Le Wu(吴乐), 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 Data Mining(PAKDD), pages: 472-485, 2015. (EI, CCF 推荐C类会议)
  • Le Wu(吴乐), 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), pages: 1854-1858, 2012. (EI, CCF 推荐B类会议)
  • Guowei Ma, Qi Liu, Le Wu(吴乐) and Enhong Chen. Identifying Hesitant and Interested Customers for Targeted Social Marketing, The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , pages:576-590, 2015. (EI, CCF推荐C类会议)Hongke Zhao, Le Wu(吴乐), 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), pages:1109-1114, 2014. ( EI,CCF推荐B类会议) 
  • Gang Xu, Linli Xu, Le Wu(吴乐). Utilizing Social and Behavioral Neighbors for Personalized Recommendations, The 10th International Symposium on Neural Networks(ISNN), pages: 541-551, 2013. (EI索引)