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Journal and Magazine Papers
Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan* and Zhong Ming*.
Conditional Restricted Boltzmann Machine for Item Recommendation [J].
Neurocomputing (0925-2312), Accepted.
Jixiong Liu, Weike Pan* and Zhong Ming*.
CoFiGAN: Collaborative Filtering by Generative and Discriminative Training for One-Class Recommendation [J].
Knowledge-Based Systems (0950-7051), Accepted.
paper, slides, project (code, data)
Wei Cai, Weike Pan*, Jixiong Liu, Zixiang Chen and Zhong Ming*.
k-Reciprocal Nearest Neighbors Algorithm for One-Class Collaborative Filtering [J].
Neurocomputing (0925-2312), Accepted.
paper, slides, project (code, data)
Zijie Zeng, Jing Lin, Lin Li, Weike Pan*, Zhong Ming*. Extended from our ICWS 2018 paper
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity [J].
ACM Transactions on Information Systems (1046-8188), 38(1):7:1-7:22, December 2019.
paper, slides, code
Yi Cao, Weifeng Zhang, Bo Song, Weike Pan, Congfu Xu*.
Position-Aware Context Attention for Session-Based Recommendation [J].
Neurocomputing (0925-2312), 376:65-72, 1 February 2020.
paper, code
Wanling Cai, Jiongbin Zheng, Weike Pan*, Jing Lin, Lin Li, Li Chen, Xiaogang Peng* and Zhong Ming*.
Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering [J].
Neurocomputing (0925-2312), 341:80-87, 14 May 2019.
paper, slides, project (code, data)
Wei Dai, Qing Zhang, Weike Pan* and Zhong Ming*.
Transfer to Rank for Top-N Recommendation [J].
IEEE Transactions on Big Data (2332-7790), Accepted.
paper, slides, project (code, data)
Weike Pan, Qiang Yang*, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng* and Zhong Ming*.
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering [J].
ACM Transactions on Information Systems (1046-8188), 37(1):10:1-10:20, January 2019.
paper, slides, project (code, data) bibtex
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), 58(2):295–318, February 2019.
paper, slides, code, data, bibtex
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.
paper, slides, code, bibtex
Weike Pan and Zhong Ming*.
Collaborative Recommendation with Multiclass Preference Context [J].
IEEE Intelligent Systems (1541-1672), 32(2):45-51, March 2017.
paper, slides, code, bibtex
Mengsi Liu#, Weike Pan#, Miao Liu, Yaofeng Chen, Xiaogang Peng* and Zhong Ming* (#:co-first author).
Mixed Similarity Learning for Recommendation with Implicit Feedback [J].
Knowledge-Based Systems (0950-7051), 119:178–185, 1 March 2017.
paper, slides, code, data, bibtex
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.
paper, bibtex
Weike Pan, Qiang Yang*, Yuchao Duan and Zhong Ming*.
Transfer Learning for Semisupervised Collaborative Recommendation [J].
ACM Transactions on Interactive Intelligent Systems (2160-6455), 6(2):10:1-10:21, July 2016.
ACM TiiS 2016 Best Paper Award
paper, slides, code, bibtex
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.
paper, slides, code, data, bibtex
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.
paper
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.
paper, slides, code, bibtex
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.
paper, slides, bibtex
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.
paper, bibtex
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.
paper, code, bibtex
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.
paper, bibtex
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.
paper, bibtex
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.
paper, bibtex
Weike Pan and Qiang Yang*.
Transfer Learning in Heterogeneous Collaborative Filtering Domains [J].
Artificial Intelligence, 197:39–55, April 2013.
paper, code, bibtex
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.
paper, bibtex
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
Liulan Zhong, Jing Lin, Weike Pan* and Zhong Ming*.
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation [C].
In: Proceedings of 2020 IEEE International Conference on Big Data and Smart Computing (BigComp 2020), Busan, Korea, pages ***-***, February 19-22, 2020. EI.
Xiancong Chen, Weike Pan* and Zhong Ming*.
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering [C].
(Short Paper) In: Proceedings of 2020 IEEE International Conference on Big Data and Smart Computing (BigComp 2020), Busan, Korea, pages ***-***, February 19-22, 2020. EI.
Wei Dai, Weike Pan* and Zhong Ming*.
Context-aware Collaborative Ranking [C].
In: Proceedings of 15th Asia Information Retrieval Societies Conference (AIRS 2019), Hong Kong, China, pages ***-***, November 7-9, 2019. EI.
Shan Ouyang, Lin Li, Weike Pan* and Zhong Ming*.
Asymmetric Bayesian Personalized Ranking for One-Class Collaborative Filtering [C]. (Short Paper, Poster)
In: Proceedings of 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, pages 373-377, September 15-20, 2019. EI.
paper, slides, poster, code
Bo Song, Yi Cao, Weike Pan and Congfu Xu*.
Modeling Item Category for Effective Recommendation [C]. (Short Paper, Poster)
In: Proceedings of 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), Chiang Mai, Thailand, pages 402-405, April 22-25, 2019. EI.
paper, bibtex
Zijie Zeng, Weike Pan* and Zhong Ming*.
BIS: Bidirectional Item Similarity for Next-Item Recommendation [C].
In: Proceedings of 2018 International Conference on Web Services (ICWS 2018), Seattle, USA, pages 311-325, June 25-30, 2018. EI.
paper, slides, bibtex
Lei Li, Weike Pan*, Li Chen and Zhong Ming*.
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood [C].
In: Proceedings of 2018 International Conference on Web Services (ICWS 2018), Seattle, USA, pages 326-336, June 25-30, 2018. EI.
paper, slides, code, bibtex
Jing Lin, Weike Pan* and Zhong Ming*.
MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction [C].
In: Proceedings of 2018 International Conference on Web Services (ICWS 2018), Seattle, USA, pages 337-349, June 25-30, 2018. EI.
paper, slides, code, bibtex
Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan*, Zhiguang Shan and Zhong Ming*.
k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering [C].
In: Proceedings of International Conference on Smart Computing and Communication (SmartCom 2017), Shenzhen, China, pages 406-416, December 10th-12th, 2017. EI.
paper, slides, bibtex
Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng*, Zhiguang Shan and Zhong Ming*.
Hybrid One-Class Collaborative Filtering for Job Recommendation [C].
In: Proceedings of International Conference on Smart Computing and Communication (SmartCom 2016), Shenzhen, China, pages 267-276, December 17th-19th, 2016. EI.
paper, code, bibtex
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, bibtex
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
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
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
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
Weike Pan and Li Chen.
CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets [C].
In: Proceedings of the SIAM International Conference on Data Mining (SDM 2013). Austin, Texas, USA, pages 180-188, May 2-4, 2013. EI.
Nominee of Best Paper Award (PDF)
paper, bibtex
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
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
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
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
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
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
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
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
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
Guanyu Lin, Feng Liang, Weike Pan* and Zhong Ming*.
FedRec: Federated Recommendation with Explicit Feedback via User Averaging.
In: Proceedings of the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML 2019) co-located with the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macau, China, August 10-16, 2019.
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, February 6-8, 2018.
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.
paper, slides, video presentation (YouTube), bibtex
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
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, slides, code, bibtex
Edited Special Issue
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, bibtex
Edited Workshop Proceedings
Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández.
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL).
Workshop Editorial. In: Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27-31, 2017.
paper, bibtex
Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández.
The 2nd Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL).
Workshop Editorial. In: Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, British Columbia, Canada, October 2-7, 2018.
paper, bibtex
Book Chapters
Weike Pan and Guangneng Hu.
Transfer Learning in Recommender Systems [M].
Transfer Learning, Qiang Yang, Yu Zhang, Wenyuan Dai and Sinno Jialin Pan, Cambridge University Press, pages ***-***, United Kingdom 2020.
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
Weike Pan.
Transfer Learning in Collaborative Filtering.
PhD Thesis, Hong Kong University of Science and Technology, June 2012.
thesis
Translation (in Chinese)
Charu C. Aggarwal. Machine Learning for Text. Springer, 2018.
翻译: 黎琳,潘微科,明仲.《文本机器学习》, 机械工业出版社, TO APPEAR. ISSN: ***.
Deepak K. Agarwal, Bee-Chung Chen. Statistical Methods for Recommender Systems. Cambridge University Press, 2016.
翻译: 戴薇,潘微科,明仲.《统计推荐系统》, 机械工业出版社, 2019年9月. ISSN: 978-7-111-63573-4. TOC, JD.com Link, TMall.com Link, 华章课堂
Francesco Ricci, Lior Rokach, Bracha Shapira. Recommender Systems Handbook (Second Edition), Springer, 2015.
翻译: 李艳民,吴宾,潘微科,刘淇,蒋凡 等.《推荐系统：技术、评估及高效算法》, 机械工业出版社, 2018年6月. ISBN:978-7-111-60075-6. TOC, JD.com Link, Tmall.com Link, 华章课堂
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, 2018年6月.
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