Selected Publications

Books

  1. Chuan Shi, Philip S. Yu. Heterogeneous Information Network Analysis and Applications. Springer. ISBN 978-3-319-56211-7. 2017. [preface] [ch1] [ch2] [ch3] [ch4] [ch5] [ch6] [ch7] [ch8] [ch9]
  2. 杨娟, 石川, 王柏. 形式语言与自动机(第二版). 北京邮电大学出版社. ISBN 978-7-5635-4997-9. 2017.
  3. 牛温佳, 刘吉强, 石川. 用户网络行为画像. 中国工信出版集团 & 电子工业出版社. ISBN 978-7-121-28070-2. 2016.

Book Chapters

  1. Chuan Shi. Chapter 24: Evolutionary Multi-Objective Optimization for Supervised Learning. In: Ying Tan. Swarm Intelligence - From Concepts to Applications. IET. ISBN 978-1-78561-313-5. 2017. [book info]

Heterogeneous Information Network Analysis and Social Network Analysis

  1. Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang. Matrix Factorization meets Social Network Embedding for Rating Prediction. APWeb-WAIM 2018. [pdf]
  2. Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu. Representation Learning with Depth and Breadth for Recommendation using Multi-view Data. APWeb-WAIM 2018. [pdf]
  3. Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu. A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph. PAKDD 2018. [pdf]
  4. Houye Ji, Chuan Shi. Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding. PRICAI 2018. [pdf]
  5. Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu. A Meta Path based Method for Entity Set Expansion in Knowledge Graph. IEEE Transactions on Big Data, 2018. [pdf]
  6. Yuyan Zheng, Ying Tian, Chuan Shi. Method of Entity Set Expansion Based on Frequent Pattern under Meta Path. Journal of Software, 2018, 29(10):0. [pdf]
  7. Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philiph S. Yu, Zhiping Shi. SemRec: A Personalized Semantic Recommendation Method based on Weighted Heterogeneous Information Networks. World Wide Web, 2018: 1-32. [pdf]
  8. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu. Heterogeneous Information Network Embedding for Recommendation. IEEE Transactions on Knowledge and Data Engineering, 2018. [pdf]
  9. Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu. Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model. KDD 2018. [pdf]
  10. Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song. Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI 2018. [pdf]
  11. Chuan Shi, Yizhou Sun. Research development of representation learning for heterogeneous network. Communications of CCF. 2017.12. [pdf]
  12. Chuan Shi, Yizhou Sun, Philip S. Yu. Current development and Future work of heterogeneous information network. Communications of CCF. 2017.11. [pdf]
  13. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu. Heterogeneous Information Network Embedding for Recommendation. arXiv:1711.10730, 2017. [pdf]
  14. Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu. Meta-path-based link prediction in schema-rich heterogeneous information network. International Journal of Data Science and Analytics. 2017 [pdf]
  15. Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu. Recommendation in heterogeneous information network via dual similarity regularization. International Journal of Data Science and Analytics. 2017 [pdf]
  16. Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu. A survey on Heterogeneous Information Network Analysis. IEEE Transactions on Knowledge and Data Engineering, 29(1), 17-37, 2017 [pdf]
  17. Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu. Entity Set Expansion with Meta Path in Knowledge Graph. PAKDD 2017. [pdf]
  18. Chuan Shi, Yitong Li, Philip S. Yu, Bin Wu. Constrained-Meta-Path based Ranking in Heterogeneous Information Network. Knowledge and Information System, 49(2), 719-747, 2016. [pdf]
  19. Chuan Shi, Jian Liu, Fuzheng Zhuang, Philip S. Yu, Bin Wu. Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. Knowledge and Information System, 2016. [pdf]
  20. Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi et al. RecExp: A semantic recommender system with explanation based on heterogeneous information network. RecSys 2016. [pdf]
  21. Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Bin Wu. Link Prediction in Schema-Rich Heterogeneous Information Network. PAKDD 2016. [pdf]
  22. Jing Zheng, Jian Liu, Chuan Shi, Fuzheng Zhuang, Bin Wu. Dual Similarity Regularization for Recommendation. PAKDD 2016. [pdf]
  23. Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu. Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM 2015: 453-462. [pdf] [code]
  24. Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu. HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. IEEE Transactions on Knowledge and Data Engineering, 26(10): 2479-2492, 2014. [pdf] [code & data]
  25. Chuan Shi, Wang Ran, Yitong Li, Philip S. Yu, Bin Wu. Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection. CIKM 2014: 699-708 [pdf]
  26. Xiaofeng Meng, Chuan Shi, Yitong Li, Lei Zhang, Bin Wu. Relevance Measure in Large-Scale Heterogeneous Networks. APWeb 2014: 636-643 [pdf]
  27. Yitong Li, Chuan Shi, Philip S. Yu, and Qing Chen. HRank: A Path Based Ranking Method in Heterogeneous Information Network. WAIM 2014: 553–565. [pdf]
  28. Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu. Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network. PAKDD 2013: 583-594. [pdf]
  29. Chuan Shi,Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang. HeteRecom: A Semantic-based Recommendation System in Heterogeneous Networks. KDD 2012: 1552-1555. [pdf]
  30. Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu, Relevance Search in Heterogeneous Networks, EDBT 2012: 180-191. [pdf]

Social Media Analysis

  1. Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, and Philip S. Yu. MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Transactions on Social Computing, 2018. [pdf] [code]
  2. Ding Xiao, Yugang Ji, Yitong Li. Fuzhen Zhuang, Chuan Shi. Coupled matrix factorization and topic modeling for aspect mining. Information Processing and Management, 2018. [pdf]
  3. Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He. Representation learning via Dual-Autoencoder for recommendation. Neural Networks, 90, 83-89, 2017. [pdf]
  4. Jing Zheng, Fuzhen Zhuang, Chuan Shi. Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017. [pdf]  [code & data]
  5. Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu. Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD 2017. [pdf]
  6. Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, and Bin Wu. Aspect Mining with Rating Bias. ECML2016. [pdf]
  7. 赵惠东,刘刚,石川,吴斌.基于转发传播过程的微博转发量预测[J]. 电子学报, 2016, 44(12): 2989-2996. [pdf]
  8. 王锐,吴玲玲,石川,吴斌. 基于社团结构的链接预测和属性推断联合解决方法[J]. 电子学报, 2015, 44(9): 2062-2067. [pdf]
  9. Bowei He, Zhiqiang Zhang, Jian Liu, Fuzhen Zhuang, Chuan Shi. Repeat Buyers Prediction after Sales Promotion for Tmall Platform. IJCAI 2015 workshop, 1st International Workshop on Social Influence Analysis. Champion in IJCAI 2015 Contest. [pdf]
  10. Gang Liu, Chuan Shi1, Qing Chen, Bin Wu, and Jiayin Qi. A Two-Phase Model for Retweet Number Prediction. WAIM 2014: 781-792. <[pdf]

Evolutionary Multi-objective Optimization and Evolutionary Algorithm

  1. Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu. A Multiobjective Evolutionary Algorithm Based on Hybrid Individual Selection Mechanism. Journal of Software, 2018. [pdf]
  2. Chuan Shi, Xiangnan Kong, Di Fu, Philip S. Yu. Multi-label Classification based on Multi-Objective Optimization. ACM Transaction on Intelligent Systems and Technology, 5(2), 35, 2014. [pdf]
  3. Chuan Shi, Philip S. Yu, Zhenyu Yan, Yue Huang, Bai Wang. Comparison and Selection of Objective Functions in Multi-Objective Community Detection. Computational Intelligence, 30(3): 562-582, 2014. [pdf] [code]
  4. Chuan Shi, Yanan Cai, Di Fu, Yuxiao Dong, Bin Wu. A Link Clustering based Overlapping Community Detection Algorithm. Data & Knowledge Engineering, 87: 394-404, 2013. [pdf] [code]
  5. Jingfei Du, Jianyang Lai, Chuan Shi. Multi-objective Optimization for Overlapping Community Detection. ADMA 2013: 489-500. [pdf]
  6. Chuan Shi, Xiangnan Kong, Philip S. Yu, Multi-Objective Multi-Label Classification, SDM 2012: 355-366. [pdf]
  7. Chuan Shi, Zhenyu Yan, Yanan Cai, Bin Wu. Multi-objective community detection in complex networks. Applied Soft Computing, 12(2), 2012, 850-859. [pdf]
  8. Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai, Bin Wu. A Posteriori Approach for Community Detection. Journal of Computer Science and Technology 26(5): 792-805 2011. [pdf]
  9. Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang. Multi-label Ensemble Learning. ECML/PKDD (3) 2011: 223-239. [pdf]
  10. Chuan Shi, Philip S. Yu, Yanan Cai, Zhenyu Yan, and Bin Wu. On Selection of Objective Functions in Multi-Objective Community Detection. CIKM 2011: 2301-2304. [pdf]
  11. Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai and Bin Wu. Multi-objective Decisionmaking in the Detection of Comprehensive Community Structures. CEC 2011: 1597-1604. [pdf]
  12. Yanan Cai, Chuan Shi, Yuxiao Dong, Qing Ke, and Bin Wu, A Novel Genetic Algorithm for Overlapping Community Detection. ADMA 2011: 557-564. Best paper award [pdf]
  13. Chuan Shi, Cha Zhong, Zhenyu Yan, et al., A Multi-Objective Optimization Approach for Community Detection in complex network, CEC 2010. [pdf]
  14. Chuan Shi, Yanan Cai, Philip S. Yu, Zhenyu Yan, Bin Wu, A Comparison of Objective Functions in Network Community Detection, ICDM 2010 workshop:1234-1241. [pdf]
  15. Chuan Shi, Jian Zhang, Liangliang Shi, Yanan Cai, Bin Wu, A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks, ADMA 2010: 557-564. [pdf]
  16. Chuan Shi, Zhenyu Yan, Zhongzhi Shi, Lei Zhang, A Fast Multi-objective Evolutionary Algorithm based on a Tree Structure, Applied Soft Computing, 10(2), 2010, 468-480. [pdf]
  17. Chuan Shi, Zhenyu Yan, Yi Wang, Yanan Cai, Bin Wu, A Genetic Algorithm for Detecting Communities in Large-scale Complex Networks, Advances in Complex Systems, 13(1), 2010, 3-17. [pdf]
  18. Chuan Shi, Zhenyu Yan, Zhongzhi Shi, Bai Wang, Dominance Tree and its Application in Evolutionary Multi-objective Optimization, Information Sciences, 179, 2009, 3540-3560. [pdf]
  19. Chuan Shi, Yi Wang, Bin Wu, Cha Zhong, A New Genetic Algorithm for Community Detection, Complex 09, vol5, no1, 1298-1309. [pdf]
  20. Shi Chuan, Li qingyong, Shi zhongzhi, A Quick Multi-objective Evolutionary Algorithm Based on Dominating Tree, Journal of Software (Chinese), 18(3), 2007, 505-516. [pdf]

Others

  1. Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng. NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI 2018. [pdf] [code & data]
  2. Yang Xiao,Ding Xiao,Binbin Hu,Chuan Shi. ANE: Network Embedding via Adversarial Autoencoders. BigComp 2018. [pdf]
  3. Qiaolian Liu, Jianfei Zhao, Naiwang Guo, Ding Xiao, and Chuan Shi. High-Dimensional Data Visualization Based on User Knowledge. DMBD 2016. [pdf]
  4. Dongyu Wei, Xin Pan, Chuan Shi, and Yueguo Chen. A Novel Index Structure for Multi-key Search. WAIM 2014: 431–434. [pdf]
  5. Chuan Shi, Dan Zhou, Bin Wu, Jian Liu, VisNetMiner: An Integration Tool for Visualization and Analysis of Networks, AMDA 2009: 611-618. [pdf]