Weike Pan's photo

Weike Pan

Associate Professor
College of Computer Science and Software Engineering, Shenzhen University
Big Data Institute
National Engineering Laboratory for Big Data System Computing Technology
Email: panweike(at)szu(dot)edu(dot)cn or weikep(at)gmail(dot)com
Phone: (0086) 755-26534310
Fax: (0086) 755-26534078
Address: RM936, College of Computer Science and Software Engineering, South Campus of Shenzhen University, 3688# Nanhai Avenue, Nanshan District, Shenzhen, 518060, P.R. China


News:

  • Our team has won the highest award of MCM/ICM 2018 (Outstanding Winner)! (Link)
  • Our ACM TiiS article on transfer learning and intelligent recommendation has won the TiiS 2016 Best Paper Award! (Official Announcement)
  • There are some Postdoc positions available (working with Prof. Zhong Ming and Dr. Weike Pan). Please send me your CV if you are interested in data mining and artificial intelligence. More information (in Chinese) ...

Biography

Weike Pan is currently an Associate Professor with the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, P.R. China. He received the B.Eng. degree in Computer Science from Zhejiang University, Hangzhou, P.R. China, in 2005, and the Ph.D. degree in Computer Science and Engineering from the Hong Kong University of Science and Technology, Kowloon, Hong Kong, P.R. China, in 2012. He was a senior engineer at Baidu Inc. and a post-doctoral research fellow at Hong Kong Baptist University. His current research interests include data mining and artificial intelligence, with a particular focus on transfer learning, intelligent recommendation and machine learning. 中文主页 (in Chinese)

Research Interests

  • Data Mining and Artificial Intelligence: Transfer Learning, Recommender Systems and Machine Learning.

Work Experience

  • December 2016 - present, Associate Professor, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, P.R. China.
  • 11 July 2013 - December 2016, Lecturer, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, P.R. China.
  • 15 August 2012 - 14 June 2013, Post-doctoral Research Fellow, Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong, P.R. China.
  • 18 June 2012 - 19 July 2012, Senior Engineer, NLP Group, Baidu Inc., Shenzhen, P.R. China.

Visiting and Intern Experience

  • February 2012 - June 2012 (full/part time), Intern, NLP Group, Baidu Inc.
  • June 2011 - December 2011 (full/part time), Intern, Data Mining Group, Tencent Inc.
  • May 2010 - August 2010, Intern, NLP Group, Baidu Inc.
  • February 2006 - June 2006, Intern, Speech Group, Microsoft Research Asia (MSRA).
  • April 2005 - June 2005, Oversea Scholarship Student, Institute of Medical Informedics, Luebeck University.

Education

  • 15 August 2007 - 15 June 2012, Ph.D. Student/Candidate (Thesis Advisor: Prof. Qiang Yang), Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, P.R. China.
  • 1 September 2005 - 30 June 2007, Ph.D. Student, College of Computer Science, Zhejiang University, Hangzhou, P.R. China.
  • 1 September 2001 - 30 June 2005, Bachelor Student, College of Computer Science, Zhejiang University, Hangzhou, P.R. China.

Research Projects

  • Research on Transfer Learning based One-Class Collaborative Recommendation Algorithms. PI. Natural Science Foundation of SZU No. 201436 (a.k.a., Shenzhen University New Junior Faculty Research Startup Project). 2014.06-2016.05.
  • Research on Transfer Learning based Semi-supervised Collaborative Recommendation Algorithms. PI. Ph.D. Startup Project of Natural Science Foundation of Guangdong Province No. 2014A030310268. 2015.01-2018.01.
  • Research on Transfer Learning Techniques for Modeling of Heterogeneous Implicit Feedbacks in Recommender Systems. PI. National Natural Science Foundation of China (NSFC) No. 61502307. 2016.01-2018.12.
  • Research on Transfer Learning based Heterogeneous Collaborative Filtering Algorithms. PI. Natural Science Foundation of Guangdong Province No. 2016A030313038. 2016.06-2019.06.

Research Group

  • Ms. Mengsi LIU (September 2014 - June 2016)
  • Mr. Zijie ZENG (September 2015 -)
  • Ms. Wei DAI (June 2017 -)
  • Ms. Liulan ZHONG (July 2017 -)
  • more

Teaching

  • Fall 2017, 150003006: Java Program Design (Online course by University Open Online Courses)
  • Fall 2017, 2705008: Information Retrieval (PG course)
  • Spring 2017, 1502940001: Information Retrieval (Tuesday afternoon: 5-6 @ C409; even week, 7-8 @ 322)
  • Spring 2017, 1502770001: Ethical, Social and Global Issues in Computing (Wednesday afternoon: 7-8 @ C308)
  • Fall 2016, 1501560004: Java Program Design (Online course by University Open Online Courses), September 8 & 29, October 27, November 24, December 15 & 29 (Thursday) 3-4 @ B506
  • Spring 2016, MC15031301/MC15031302: Java Program Design (Co-teach with Xi Zhang and Shiqi Yu, Online course by University Open Online Courses), 14:00-16:00 on June 12 (Sunday) and June 26 (Sunday) @ D506
  • Spring 2016, 162201013110/162023030029/1622011081108/1622011081210: Information Retrieval (PG course on Sunday evenings: 18:00-21:00, March 6,13,20,27 and April 10 @ N304)
  • Spring 2016, 1502100001: Information Retrieval Systems (Tuesday afternoon: 5-6 @ A207; odd week, 7-8 @ D324)
  • Spring 2016, 1502770001: Ethical, Social and Global Issues in Computing (Thursday afternoon: 7-8 @ N306)
  • Fall 2015, 1500530001: E-Commerce (Co-teach with Dingming Wu)
  • Fall 2015, 1501560007: Java Program Design (Online course by University Open Online Courses)
  • Spring 2015, 1502030001: Semantic Web (focus on Intelligent Recommendation Technology, 主讲"智能推荐技术")
  • Fall 2014, 1500980001: Java EE Technology
  • Fall 2014, 1501560005: Java Program Design
  • Spring 2014, 1502030001: Semantic Web (focus on Intelligent Recommendation Technology, 主讲"智能推荐技术")
  • Spring 2014, 1501040013: Multimedia Technology and Applications (Co-teach with Yuan Ruan)
  • Fall 2013, 23151921: Java EE Technology

Publications

Journal and Magazine Papers

  1. Weike Pan, Li Chen* and Zhong Ming*. Extended from our SDM 2013 paper.
    Personalized Recommendation with Implicit Feedback via Learning Pairwise Preferences over Item-sets [J].
    Knowledge and Information Systems (0219-1377), Accepted. ESI (Computer Science).
  2. Weike Pan, Qiang Yang*, Yuchao Duan, Ben Tan and Zhong Ming*.
    Transfer Learning for Behavior Ranking [J].
    ACM Transactions on Intelligent Systems and Technology (2157-6904), 8(5):65:1-65:23, July 2017. ESI (Computer Science).
    paper, slides, code
  3. Weike Pan and Zhong Ming*.
    Collaborative Recommendation with Multiclass Preference Context [J].
    IEEE Intelligent Systems (1541-1672), 32(2):45-51, March 2017. ESI (Engineering).
    paper, slides, code
  4. Mengsi Liu#, Weike Pan#, Miao Liu, Yaofeng Chen, Xiaogang Peng* and Zhong Ming*.
    Mixed Similarity Learning for Recommendation with Implicit Feedback [J].
    Knowledge-Based Systems (0950-7051), 119:178–185, 1 March 2017. ESI (Computer Science).
    paper, slides, code, data, bibtex
  5. Weike Pan and Li Chen.
    Group Bayesian Personalized Ranking with Rich Interactions for One-Class Collaborative Filtering [J]. Extended from our IJCAI 2013 paper.
    Neurocomputing (0925-2312), 207:501-510, 26 September 2016. ESI (Computer Science).
    paper, bibtex
  6. Weike Pan, Qiang Yang*, Yuchao Duan and Zhong Ming*.
    Transfer Learning for Semi-Supervised Collaborative Recommendation [J]. ACM TiiS 2016 Best Paper Award
    ACM Transactions on Interactive Intelligent Systems (2160-6455), 6(2):10:1-10:21, July 2016. ESI (Computer Science).
    paper, slides, code, bibtex
  7. Weike Pan, Mengsi Liu and Zhong Ming*.
    Transfer Learning for Heterogeneous One-Class Collaborative Filtering [J].
    IEEE Intelligent Systems (1541-1672), 31(4):43-49, July 2016. ESI (Engineering).
    paper, slides, code, data, bibtex
  8. Weike Pan and Qiang Yang.
    Transfer Learning for Behavior Prediction [J]. Invited Paper for Trends & Controversies on Uncovering and Predicting Human Behaviors.
    IEEE Intelligent Systems (1541-1672), 31(2):86-88, March 2016. ESI (Engineering).
    paper
  9. Weike Pan, Shanchuan Xia, Zhuode Liu, Xiaogang Peng and Zhong Ming*.
    Mixed Factorization for Collaborative Recommendation with Heterogeneous Explicit Feedbacks [J].
    Information Sciences (0020-0255), 332:84–93, 1 March 2016. ESI (Computer Science).
    paper, bibtex
  10. Weike Pan.
    A Survey of Transfer Learning for Collaborative Recommendation with Auxiliary Data [J]. Extended from part of my Ph.D. thesis.
    Neurocomputing (0925-2312), 177:447–453, 12 February 2016. ESI (Computer Science).
    paper, slides, bibtex
  11. Weike Pan, Zhuode Liu, Zhong Ming*, Hao Zhong, Xin Wang and Congfu Xu.
    Compressed Knowledge Transfer via Factorization Machine for Heterogeneous Collaborative Recommendation [J].
    Knowledge-Based Systems (0950-7051), 85:234–244, September 2015. ESI (Computer Science).
    paper, bibtex
  12. Weike Pan, Hao Zhong, Congfu Xu* and Zhong Ming.
    Adaptive Bayesian Personalized Ranking for Heterogeneous Implicit Feedbacks [J].
    Knowledge-Based Systems (0950-7051), 73:173–180, January 2015. ESI (Computer Science).
    paper, bibtex
  13. Weike Pan and Zhong Ming*.
    Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback [J].
    IEEE Intelligent Systems (1541-1672), 29(6):48-54, December 2014. ESI (Engineering).
    paper, bibtex
  14. Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan* and Li Chen.
    An Adaptive Fusion Algorithm for Spam Detection [J].
    IEEE Intelligent Systems (1541-1672), 29(4):2-8, August 2014. ESI (Engineering).
    paper, bibtex
  15. Yuanchun Zhou, Mingjie Tang, Weike Pan, Jinyan Li*, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang and Baoping Yan.
    Bird Flu Outbreak Prediction via Satellite Tracking [J].
    IEEE Intelligent Systems (1541-1672), 29(4):10-17, August 2014. ESI (Engineering).
    paper, bibtex
  16. Weike Pan and Qiang Yang*.
    Transfer Learning in Heterogeneous Collaborative Filtering Domains [J].
    Artificial Intelligence, 197:39–55, April 2013. ESI (Computer Science).
    paper, code, bibtex
  17. Wenliang Zhong, Weike Pan, James T. Kwok and Ivor W. Tsang.
    Incorporating the Loss Function into Discriminative Clustering of Structured Outputs [J].
    IEEE Transactions on Neural Networks, 21(10):1564-1575, October 2010. ESI (Computer Science).
    paper, bibtex
  18. Weike Pan and Congfu Xu*.
    BioASLM: an Efficient Biology-Inspired Acoustic Source Localization Model in Indoor Sensor Networks [J].
    Journal of Electronics (China), 16(3):406-410, July 2007.

Conference Papers

  1. Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan*, Zhiguang Shan and Zhong Ming*.
    k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering.
    In Proceedings of International Conference on Smart Computing and Communication (SmartCom 2017), Shenzhen, China, pages ***-***, December 10th-12th, 2017. EI.
  2. Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng*, Zhiguang Shan and Zhong Ming*.
    Hybrid One-Class Collaborative Filtering for Job Recommendation.
    In Proceedings of International Conference on Smart Computing and Communication (SmartCom 2016), Shenzhen, China, pages 267-276, December 17th-19th, 2016. EI.
    paper, code
  3. Feng Wang, Li Chen and Weike Pan.
    Where to Place Your Next Restaurant? Optimal Restaurant Placement via Leveraging User-Generated Reviews [C]. (Short Paper)
    In: Proceedings of the 25rd ACM International Conference on Information and Knowledge Management (CIKM 2016). Indianapolis, USA, pages 2371-2376, October 24-28, 2016. EI.
    paper,
  4. Hao Zhong, Weike Pan, Congfu Xu*, Zhi Yin and Zhong Ming.
    Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks [C]. (Short Paper)
    In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). Shanghai, China, pages 1999-2002, November 3-7, 2014. EI.
    paper, bibtex
  5. Xin Wang, Weike Pan and Congfu Xu*.
    HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation [C].
    In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). Shanghai, China, pages 769-778, November 3-7, 2014. EI.
    paper, bibtex
  6. Weike Pan and Li Chen.
    GBPR: Group Preference based Bayesian Personalized Ranking for One-Class Collaborative Filtering [C].
    In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). Beijing, China, pages 2691-2697, August 3-9, 2013. EI.
    paper, code, data, bibtex
  7. Feng Wang, Weike Pan and Li Chen.
    Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications [C].
    In: Proceedings of the 21st Conference on User Modeling, Adaptation and Personalization (UMAP 2013). Rome, Italy, pages 281-288, June 10-14, 2013. EI.
    paper, bibtex
  8. Weike Pan and Li Chen.
    CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets [C]. Nominee of Best Paper Award
    In: Proceedings of the SIAM International Conference on Data Mining (SDM 2013). Austin, Texas, USA, pages 180-188, May 2-4, 2013. EI.
    paper, bibtex
  9. Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Xiang, Weike Pan and Qiang Yang.
    Selective Transfer Learning for Cross Domain Recommendation [C].
    In: Proceedings of the SIAM International Conference on Data Mining (SDM 2013). Austin, Texas, USA, pages 641-649, May 2-4, 2013. EI.
    paper, bibtex
  10. Weike Pan, Evan W. Xiang and Qiang Yang.
    Transfer Learning in Collaborative Filtering with Uncertain Ratings [C].
    In: Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI 2012). Toronto, Ontario, Canada, pages 662-668, July 22-26, 2012. EI.
    paper, bibtex
  11. Weike Pan, Nathan N. Liu, Evan W. Xiang and Qiang Yang.
    Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks [C].
    In: Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI 2011). Barcelona, Catalonia, Spain, pages 2318-2323, July 16-22, 2011. EI.
    paper, bibtex
  12. Evan W. Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang.
    Source-Selection-Free Transfer Learning [C].
    In: Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI 2011). Barcelona, Catalonia, Spain, pages 2355-2360, July 16-22, 2011. EI.
    paper, bibtex
  13. Weike Pan and James T. Kwok.
    Structured Clustering with Automatic Kernel Adaptation [C].
    In: Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN 2011). San Jose, California, USA, pages 1322-1327, July 31-August 5, 2011. EI.
    paper, bibtex
  14. Weike Pan, Evan W. Xiang, Nathan N. Liu and Qiang Yang.
    Transfer Learning in Collaborative Filtering for Sparsity Reduction [C].
    In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI 2010). Atlanta, Georgia, USA, pages 230-235, July 11-15, 2010. EI.
    paper, code, bibtex
  15. Chonghai Hu, James T. Kwok and Weike Pan.
    Accelerated Gradient Methods for Stochastic Optimization and Online Learning [C].
    In: Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pages 781-789, December 7-10, 2009. EI.
    paper, bibtex
  16. Xi Chen, Weike Pan, James T. Kwok and Jaime Carbonell.
    Accelerated Gradient Method for Multi-Task Sparse Learning Problem [C].
    In: Proceedings of the 9th International Conference on Data Mining (ICDM 2009), Miami, Florida, USA, pages 746-751, December 6-9, 2009. EI.
    paper, bibtex
  17. Shijian Li, Congfu Xu, Weike Pan and Yunhe Pan.
    Sensor Deployment Optimization for Detecting Maneuvering Targets [C].
    In: Proceedings of the 8th International Conference on Information Fusion (Fusion 2005), Philadelphia, PA, USA, pages 1629-1635, July 25-29, 2005. EI.

Workshop Papers

  1. Lin Li, Weike Pan* and Zhong Ming*.
    CoFi-points: Collaborative Filtering via Pointwise Preference Learning over Item-Sets. (Long Paper)
    In: Proceedings of the Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2018) co-located with the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, Feburary 6-8, 2018. EI.
  2. Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang* and Zhong Ming*.
    Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. (Short Paper)
    In: Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL 2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27-31, 2017. EI.
  3. Xinchao Chen, Weike Pan* and Zhong Ming*.
    TOCCF: Time-Aware One-Class Collaborative Filtering. (Short Paper)
    In: Proceedings of the Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2016) co-located with the 24th Conference on User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, Canada, July 13-17, 2016. EI.
    paper, code, bibtex
  4. Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan* and Zhong Ming*.
    RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. (Short Paper)
    In: Proceedings of the Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2016) co-located with the 24th Conference on User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, Canada, July 13-17, 2016. EI.
    paper, bibtex

Edited Special Issue

  1. Weike Pan, Qiang Yang, Charu Aggarwal and Christoph Koch.
    Big Data.
    Guest Editors' Introduction, Special Issue on Big Data, IEEE Intelligent Systems (1541-1672), 32(2):7-8, March 2017.
    paper

Book Chapter

  1. Weike Pan, Erheng Zhong and Qiang Yang.
    Transfer Learning for Text Mining [M].
    Mining Text Data, Charu C. Aggarwal and Chengxiang Zhai, Springer, pages 223-257, Germany 2012.

Ph.D. Thesis

  1. Weike Pan.
    Transfer Learning in Collaborative Filtering.
    PhD Thesis, Hong Kong University of Science and Technology, June 2012.
    thesis

Translation

  1. Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky and Paolo Cremonesi. Cross-Domain Recommender Systems. Chapter 27 of Recommender Systems Handbook (Second Edition), Springer, 2015.
    翻译: 潘微科,曾子杰. 跨领域推荐系统. 《推荐系统:技术、评估及高效算法》第27章, 机械工业出版社, 2016.
    slides

Professional Services

  • Associate Editor/Editorial Board Member:
  • Co-Guest Editor:
  • Information Officer:
    • ACM Transactions on Intelligent Systems and Technology (ACM TIST): October 2009 - October 2015, Assistant to the Editor-in-Chief
    • ACM Special Interest Group on Artificial Intelligence (ACM SIGART): September 2010 - August 2013
  • Workshop Co-Chair:
    • 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL) held in conjunction with the 11th ACM Conference on Recommender Systems (RecSys), Como, Italy, August 27, 2017. Deadline for Paper Submission: June 22th, 2017.
  • Conference Senior PC Member:
    • 23th International Joint Conference on Artificial Intelligence (IJCAI'15)
  • Conference PC Member:
    • 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'18)
    • 35th International Conference on Machine Learning (ICML'18)
    • 12th International AAAI Conference on Web and Social Media (ICWSM'18)
    • 2018 International Conference on Computing and Pattern Recognition (ICCPR'18)
    • Track on Recommender Systems: Theory and Applications (RS) at the 33th ACM SIGAPP Symposium On Applied Computing (RS@SAC'18)
    • 27th International World Wide Web Conference (WWW'18)
    • 32nd AAAI Conference on Artificial Intelligence (AAAI'18)
    • Reviewer, 14th Annual Conference on Neural Information Processing Systems (NIPS'17)
    • 26th International Joint Conference on Artificial Intelligence (IJCAI'17: Main Track and Demo Track)
    • 20th International Conference on Artificial Intelligence and Statistics (AISTATS'17)
    • 11th International AAAI Conference on Web and Social Media (ICWSM'17)
    • 31st AAAI Conference on Artificial Intelligence (AAAI'17)
    • 26th International World Wide Web Conference (WWW'17)
    • Track on Recommender Systems: Theory and Applications (RS) at the 32nd ACM SIGAPP Symposium On Applied Computing (RS@SAC'17)
    • Reviewer, 13th Annual Conference on Neural Information Processing Systems (NIPS'16)
    • 25th ACM International Conference on Information and Knowledge Management (CIKM'16)
    • 4th IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS'16)
    • Nectar Track of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'16)
    • 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16)
    • 25th International Joint Conference on Artificial Intelligence (IJCAI'16: Main Track and Demo Track)
    • Nectar Track of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'15)
    • 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'15)
    • "Best Papers From Sister Conferences" Track of 23th International Joint Conference on Artificial Intelligence (IJCAI'15)
    • 24th International World Wide Web Conference (WWW'15)
    • 8th ACM International Conference on Web Search and Data Mining (WSDM'15)
    • 26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'14)
    • 7th International AAAI Conference on Weblogs and Social Media (ICWSM'14)
    • 23rd International World Wide Web Conference (WWW'14)
    • 7th ACM International Conference on Web Search and Data Mining (WSDM'14)
    • 2013 ACM Conference on Recommender Systems (RecSys'13)
    • 23rd International Joint Conference on Artificial Intelligence (IJCAI'13)
    • 2013 SIAM International Conference on Data Mining (SDM'13)
    • 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'12)
    • 20th ACM International Conference on Information and Knowledge Management (CIKM'11)
    • 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI'11)
  • Demo/Poster PC Member:
    • 2014 ACM Conference on Recommender Systems (RecSys'14)
  • Workshop PC Member:
    • Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization @ WSDM 2018 (IFUP'18)
    • Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization @ UMAP 2016 (IFUP'16)
    • Workshop on Educational Recommender Systems (EdRecSys) @ WI 2016 (EdRecSys'16)
    • 6th International Workshop on Social Recommender Systems @ KDD 2015 (SRS'15)
    • 2nd International Workshop on Learning over Multiple Contexts @ ECML 2015 (LMCE'15)
    • Workshop on Scalable Data Analytics: Theory & Applications @ ACM WSDM 2015 (SDATA'15@WSDM)
    • 2nd Workshop on Scalable Machine Learning: Theory and Applications @ IEEE BigData 2014 (SML'14@BigData)
    • Workshop on Scalable Data Analytics: Theory and Applications @ ICDM 2014 (SDA'14@ICDM)
    • 1st International Workshop on Learning over Multiple Contexts @ ECML 2014 (LMCE'14)
    • Workshop on Scalable Data Analytics: Theory and Applications @ PAKDD 2014 (SDA'14@PAKDD)
    • 5th International Workshop on Social Recommender Systems @ WWW 2014 (SRS'14)
    • 4th International Workshop on Social Recommender Systems @ WWW 2013 (SRS'13)
  • Journal Reviewer:
  • Webmaster:
    • The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12)

Last change: April 21, 2018