教师信息

个人照片

姓名

吴乐

性别

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

出生年月

198806

最终学位

工学博士

毕业学校

合肥工业大学

从事专业


职务


所属院系

计算机与信息学院

所属科室(研究所)

多媒体计算研究所

职称

副教授

联系方式

办公电话


Email

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

通讯地址

合肥工业大学翡翠湖校区计算机与信息学院,科教楼A904

邮编

230601

简历


吴乐,女,博士,现任合肥工业大学计算机与信息学院副教授,博士生导师。于2015年博士毕业于中国科学技术大学,师从陈恩红教授。曾在美国北卡罗来纳大学夏洛特分校(2014.12-2015.07),微软亚洲研究院(2017.12-2018.052013.09-2014.02),诺基亚研究院(2012.05-2012.10),阿里巴巴集团(2010.03-2010.08)等知名研究机构交流访问。主要研究领域包括机器学习、数据挖掘,特别关注于以用户为中心的智能应用,如个性化推荐、社交网络分析等。目前主持国家、省部级及企业合作项目十余项。近五年在国际期刊(如 IEEE TKDEIEEE TSMCIEEE TMMACM TISTACM TOIS.)及国际会议(如SIGIRWWWIJCAIAAAIKDDSDMICDMCIKMPAKDDD等)发表论文四十余篇。2020年获得安徽省科协首届青年人才托举计划,2017年获得中国人工智能学会优秀博士论文奖,2015 年获得数据挖掘顶级国际会议之一SDM 2015最佳论文提名奖,2013年获得CCML优秀学生论文奖。已实审(授权)发明专利数十项。担任数十个国际期刊(如IEEE TKDEIEEE TNNLSIEEE TMMACM TIST KAIS WWW J.),国内期刊(如FCS、软件学报、计算机应用),及二十余次国际顶级会议的审稿人。

  

研究方向


欢迎对机器学习及大数据分析及应用感兴趣的学生联系毕业设计或者报考研究生!

研究方向
1.机器学习、深度学习
2.大数据分析及应用
3.以用户为中心的智能信息挖掘及应用:如推荐系统,社交网络等


博士毕业论文:面向在线用户消费行为理解的数据挖掘方法研究
2017年中国人工智能学会优秀博士论文)

  

主持科研项目

1.项目主持人,国家自然科学基金面上项目,2020.01-2023.12

2.项目主持人,国家自然科学基金青年项目,2017.01-2019.12     

3.合作单位负责人,国家自然科学基金重点支持项目,2020.01-2023.12(排序第2

4.子课题负责人,国家重点研发计划,2017.09-2021.09

5.项目主持人,安徽省自然科学基金,2017.07-2019.06

6.项目主持人,CCF-腾讯犀牛鸟基金,2018.10-2019.12

7.项目主持人,科大讯飞合作项目,2019.06-2020.05

教学工作


  

  1.承担本科生课程《深度学习原理及应用》

  2.承担研究生课程《深度学习》

  3.指导工大本科生省级大创项目一项,校级大创项目一项

  4.指导工大研究生及博士生发表IEEE/ACM 汇刊系列或者CCF推荐A类会议论文12篇(包括IEEE/ACM 汇刊系列6篇,及CCF推荐的A类会议论文7


获奖情况



1.2020.06 安徽省科协首届青年科技人才托举计划(计算机方向仅一名)

2.2017.05 微软亚洲研究院铸星学者访问计划

3.2017.07 中国人工智能学会优秀博士论文

4.2015.03  SDM 2015CCF推荐B类会议)最佳论文提名

5.2013.08  CCML(中国机器学习大会)优秀学生论文


主要论著



代表性论文

[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. (第二作者为指导

大硕士研究生)

[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.(第二作者为指导工大硕士研究生)

[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

作者为指导工大博士研究生)

[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.(第一作者为指导工大博士研究生)

[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.(第二作者为指导工大博士研究生)

[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(第二作者为指导工大博士

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.(第二作者为指导工大博士研究生)

[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别为指导工大博士研究生及硕士研究生)

[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. (第一作者为指导工大硕士研究生)

[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.(第二作者为指导工

大硕士研究生)

[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.(第二作者为指导工大硕士研究生)

[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. (第一作者为指导工大硕士研究

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 (获最佳论文提名,

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.



全部论文列表

期刊论文

[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. 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,黄振亚,陈恩红,刘淇,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vol. 40(1): 176-191, 2017.

[J3]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): 22:1-22:38, December 2016.

[J2] Le Wu(吴乐), 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]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.(CCML 2013优秀学生论文奖)


会议论文

[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 (最佳论文提名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. 

[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.

  


  


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