<cite id="k9yu4"><source id="k9yu4"></source></cite>
<label id="k9yu4"></label>
<label id="k9yu4"><span id="k9yu4"></span></label>
<acronym id="k9yu4"></acronym>
教師信息個人照片

姓名

吳樂

性別


出生年月

1988.06

最終學位

博士

畢業學校

中國科學技術大學

從事專業

計算機應用,數據挖掘

職務


所屬院系

計算機與信息學院

所屬科室(研究所)

多媒體所

職稱

講師


聯系方式
  辦公電話
   E-maillewu@hfut.edu.cn,  lewu.ustc@gmail.com
  通訊地址
  郵  編
簡    歷

  

1、教育經歷
碩博連讀,計算機科學與技術學院,中國科學技術大學, 2010.09-2015.11
訪問學者,計算機學院,北卡羅來納大學夏洛特分校, 2014.12-2015.07
理學本科,計算機科學學院(師范專業),陜西師范大學,2006.09-2010.06


2
、研究工作經歷
研究實習生,知識管理組,微軟亞洲研究院,2013.9 – 2014.2
研究實習生,移動平臺組,諾基亞北京研究院,2012.5 – 2012.10
開發工程師,數據產品部門,阿里巴巴公司技術部,2010.3 – 2010.8
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(數據挖掘、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)


教學工作


獲獎情況

2017.07 中國人工智能學會優秀博士論文
2015.03 SDM 2015
CCF推薦B類會議)最佳論文提名
2013.08 CCML(
中國機器學習大會)優秀學生論文
主要論著

代表性期刊論文:(#通訊作者)



[J9] Le Wu(吳樂), 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),  under Major Revision.


[J8]Richang Hong,  Yuan He, Le Wu(吳樂)#, Yong Ge,  Deep Attributed Network Embedding by Preserving Structure and Attribute Information, IEEE Transactions on Symtesm, Man and Cybernetics: Systems (IEEE TSMC: Systems), accepted with minor revision. (SCI, SCI 一區期刊)


[J7]Le Wu(吳樂), Peijie Sun, Richang Hong, Yong Ge, Meng Wang, Collaborative Neural Social Recommendation, IEEE Transactions on Symtesm, Man and Cybernetics: Systems (IEEE TSMC: Systems), accepted. (SCI, SCI 一區期刊)


[J6]Le Wu(
吳樂), Qi Liu, Richang Hong,Enhong Chen, Yong Ge, Xing Xie, Meng Wnag, 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推薦A類期刊)


[J5] Le Wu(
吳樂), 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推薦A類期刊))

[J4] Le Wu(
吳樂), Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie. Relevance meets Coverage: A Uni
 ed Framework to Generate Diversi
 ed Recommendations, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 39, February 2016. (SCI, SCI
一區期刊)


[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, December 2016.

[J2] 
朱天宇,黃振亞,陳恩紅,劉淇,吳潤澤,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,40(1): 176-191,20171

[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. ( CCML 2013優秀學生論文獎)


代表性會議論文(#通訊作者):


2018年:

[C5]Peijie Sun, Le Wu(吳樂)# ,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推薦A類會議)

[C4]Hongfeng Bao,Le Wu(吳樂)# , Peijie Sun. Contextual Attention Model for Social Recommendation. The Pacific-Rim Conference on Multimedia (PCM 2018), accepted, Hefei, 2018. (EI, CCF推薦C類會議)

[C3]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推薦B類會議)

[C2]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推薦B類會議)

[C1]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, 



2017
年:

[C3]Xunpeng Huang, Le Wu(
吳樂), 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推薦A類會議)

[C2] Yuying Chen, Qi Liu, Zhenya Huang, Le Wu(
吳樂), Enhong Chen, Runze Wu, Yu Su and Guoping Hu, Tracking Knowledge Proficiency of Students with Educational Priors, CIKM 2017, accepted. (EI, CCF推薦B類會議)

[C1] Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu(
吳樂), 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推薦A類會議)


2016
年:

[C4]Le Wu(
吳樂), 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推薦A類會議)

[C3]Yijun Wang, Le Wu(
吳樂), 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推薦B類會議)

[C2]Ming He, Yong Ge, Le Wu(
吳樂), 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推薦B類會議)

[C1]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu(
吳樂), 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推薦C類會議)



2015
年及以前:

[C6]Le Wu(
吳樂), 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 ), pages:154-162,2015. (EI, CCF推薦B類會議 )

[C5]Le Wu(
吳樂), 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 推薦C類會議)

[C4] Le Wu(
吳樂), 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 推薦B類會議)

[C3]Guowei Ma, Qi Liu, Le Wu(
吳樂) 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推薦C類會議)

[C2]Hongke Zhao, Le Wu(
吳樂), 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推薦B類會議

[C1]Gang Xu, Linli Xu, Le Wu(
吳樂). Utilizing Social and Behavioral Neighbors for Personalized Recommendations, The 10th International Symposium on Neural Networks(ISNN), pages: 541-551, 2013. (EI索引)


日本不卡一区二区三区