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Jing Rui He

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  • 2015

    Learning complex rare categories with dual heterogeneity

    Yang, P., He, J. & Pan, J. Y., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Ye, J. & Venkatasubramanian, S. (eds.). Society for Industrial and Applied Mathematics Publications, p. 523-531 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Model multiple heterogeneity via hierarchical multi-latent space learning

    Yang, P. & He, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1375-1384 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • MUVIR: Multi-view rare category detection

    Zhou, D., He, J., Candan, K. S. & Davulcu, H., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 4098-4104 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2014

    Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

    Zhu, Y. & He, J., Jan 1 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 1121-1126 6 p. 7023457. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning from Label and Feature Heterogeneity

    Yang, P., He, J., Yang, H. & Fu, H., Jan 1 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 1079-1084 6 p. 7023450. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning with dual heterogeneity: A nonparametric Bayes model

    Yang, H. & He, J., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 582-590 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linking heterogeneous input spaces with pivots for multi-task learning

    He, J., Liu, Y. & Yang, Q., 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics Publications, p. 181-189 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Social Engineering/Phishing

    He, J. & Zhu, Y., Oct 5 2014, Encyclopedia of Social Network Analysis and Mining. Alhajj, R. & Rokne, J. (eds.). Springer, p. 1777-1783

    Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

  • 2013

    Improving traffic prediction with tweet semantics

    He, J., Shen, W., Divakaruni, P., Wynter, L. & Lawrence, R., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1387-1393 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • MI2LS: Multi-instance learning from multiple information sources

    Zhang, D., He, J. & Lawrence, R. D., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 149-157 9 p. 2487651. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • MILEAGE: Multiple Instance LEArning with Global Embedding

    Zhang, D., He, J., Si, L. & Lawrence, R. D., 2013, p. 1119-1127. 9 p.

    Research output: Contribution to conference › Paper › peer-review

  • 2012

    Adaptive multi-task sparse learning with an application to fMRI study

    Chen, X., He, J., Lawrence, R. & Carbonell, J. G., 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 212-223 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Analysis of Rare Categories

    He, J. R., 2012, Springer. (Cognitive Technologies)

    Research output: Book/Report/Conference proceeding › Book

  • An effective framework for characterizing rare categories

    He, J., Tong, H. & Carbonell, J., Apr 2012, In: Frontiers of Computer Science in China. 6, 2, p. 154-165 12 p.

    Research output: Contribution to journal › Article › peer-review

  • GenDeR: A generic diversified ranking algorithm

    He, J., Tong, H., Mei, Q. & Szymanski, B. K., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 1142-1150 9 p. (Advances in Neural Information Processing Systems; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hierarchical modeling with tensor inputs

    Zhu, Y., He, J. & Lawrence, R., 2012, AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference. p. 1233-1239 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hierarchical Modeling with Tensor Inputs

    Zhu, Y., He, J. & Lawrence, R., 2012, p. 1233-1239. 7 p.

    Research output: Contribution to conference › Paper › peer-review

  • Hierarchical multi-task learning with application to wafer quality prediction

    He, J. & Zhu, Y., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 290-298 9 p. 6413894. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Virtual metrology and run-to-run control in semiconductor manufacturing

    Zhu, Y., Baseman, R. J., He, J., Restaino, D. D. & Yashchin, E., 2012, Proceedings - 18th ISSAT International Conference on Reliability and Quality in Design. p. 374-378 5 p. (Proceedings - 18th ISSAT International Conference on Reliability and Quality in Design).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2011

    A graph-based framework for multi-task multi-view learning

    He, J. & Lawrence, R., 2011, Proceedings of the 28th International Conference on Machine Learning, ICML 2011. p. 25-32 8 p. (Proceedings of the 28th International Conference on Machine Learning, ICML 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Diversified ranking on large graphs: An optimization viewpoint

    Tong, H., He, J., Wen, Z., Konuru, R. & Lin, C. Y., 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. Association for Computing Machinery, p. 1028-1036 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-view transfer learning with a large margin approach

    Zhang, D., He, J., Liu, Y., Si, L. & Lawrence, R. D., 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. Association for Computing Machinery, p. 1208-1216 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Preface

    Wang, F., He, J., Li, T., Ding, C., Yong, C., He, J., Ji, S., Kim, J., Kulis, B., Kwok, J., Luo, D., Parikh, N., Sindhwani, V., Sugiyama, M., Wright, J. & Zhu, J., 2011, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. xxvii-xxviii 6137540.

    Research output: Contribution to journal › Editorial › peer-review

  • Preface

    Aggarwal, C., Eliassi-Rad, T., Allen, G. D., Tong, H., Wang, F., Cheng, H., Akoglu, L., Chi, Y., Daly, E., Davidson, I., Gallagher, B. J., Getoor, L., Gurevich, M., He, J., Jaimes, A., Kang, U., Lerman, K., Li, L., Lu, H. & Luo, D. & 7 others, Papadimitriou, S., Prakash, B. A., Shaw, Y., Sindhwani, V., Yao, Y., Wang, D. & Zhu, H., 2011, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. xxix-xxx 6137541.

    Research output: Contribution to journal › Editorial › peer-review

  • 2010

    Coselection of features and instances for unsupervised rare category analysis

    He, J. & Carbonell, J., Dec 2010, In: Statistical Analysis and Data Mining. 3, 6, p. 417-430 14 p.

    Research output: Contribution to journal › Article › peer-review

  • Co-selection of features and instances for unsupervised rare category analysis

    He, J. & Carbonell, J., 2010, p. 525-536. 12 p.

    Research output: Contribution to conference › Paper › peer-review

  • Ensemble-based method for Task 2: Predicting traffic Jam

    He, J., He, Q., Swirszcz, G., Kamarianakis, Y., Lawrence, R., Shen, W. & Wynter, L., 2010, Proceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010. p. 1363-1365 3 p. 5693453. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rare category characterization

    He, J., Tong, H. & Carbonell, J., 2010, Proceedings - 10th IEEE International Conference on Data Mining, ICDM 2010. p. 226-235 10 p. 5693976. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Traffic velocity prediction using GPS data: IEEE ICDM Contest task 3 report

    Shen, W., Kamarianakis, Y., Wynter, L., He, J., He, Q., Lawrence, R. & Swirszcz, G., 2010, Proceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010. p. 1369-1371 3 p. 5693455. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2009

    Graph-based transfer learning

    He, J., Liu, Y. & Lawrence, R., 2009, ACM 18th International Conference on Information and Knowledge Management, CIKM 2009. p. 937-946 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • PaCK: Scalable parameter-free clustering on K-partite graphs

    He, J., Tong, H., Papadimitriou, S., Eliassi-Rad, T., Faloutsos, C. & Carbonell, J., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 1278-1287 10 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Prior-free rare category detection

    He, J. & Carbonell, J., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 154-162 9 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2008

    Graph-based rare category detection

    He, J., Yan, L. & Lawrence, R., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 833-838 6 p. 4781187. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Nearest-neighbor-based active learning for rare category detection

    He, J. & Carbonell, J., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rare class discovery based on active learning

    He, J. & Carbonell, J., 2008, p. 7P.

    Research output: Contribution to conference › Paper › peer-review

  • 2007

    An evolutionary system for near-regular texture synthesis

    Wu, F., Zhang, C. & He, J., Aug 2007, In: Pattern Recognition. 40, 8, p. 2271-2282 12 p.

    Research output: Contribution to journal › Article › peer-review

  • Asymmetric gradient boosting with application to spam filtering

    He, J. & Thiesson, B., 2007.

    Research output: Contribution to conference › Paper › peer-review

  • Graph-based semi-supervised learning as a generative model

    He, J., Carbonell, J. & Liu, Y., 2007, In: IJCAI International Joint Conference on Artificial Intelligence. p. 2492-2497 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  • 2006

    Generalized manifold-ranking-based image retrieval

    He, J., Li, M., Zhang, H. J., Tong, H. & Zhang, C., Oct 2006, In: IEEE Transactions on Image Processing. 15, 10, p. 3170-3177 8 p.

    Research output: Contribution to journal › Article › peer-review

  • Manifold-ranking-based keyword propagation for image retrieval

    Tong, H., He, J., Li, M., Ma, W. Y., Zhang, H. J. & Zhang, C., 2006, In: Eurasip Journal on Applied Signal Processing. 2006, p. 1-10 10 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • 2005

    Anomaly internet network traffic detection by kernel principle component classifier

    Tong, H., Li, C., He, J., Chen, J., Tran, Q. A., Duan, H. & Li, X., 2005, In: Lecture Notes in Computer Science. 3498, III, p. 476-481 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  • A novel boosting-based anomaly detection scheme

    Tong, H. H., Li, C. R., He, J. R., Tran, Q. A., Duan, H. X. & Li, X., 2005, 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. p. 3199-3203 5 p. (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A unified optimization based learning method for image retrieval

    Tong, H., He, J., Li, M., Ma, W. Y., Zhang, C. & Zhang, H. J., 2005, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society, p. 230-235 6 p. 1467447. (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; vol. II).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Boosting web image search by co-ranking

    He, J., Zhang, C., Zhao, N. & Tong, H., 2005, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. p. II409-II412 1415428. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. II).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graph based multi-modality learning

    Tong, H., He, J., Li, M., Zhang, C. & Ma, W. Y., 2005, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005. p. 862-871 10 p. (Proceedings of the 13th ACM International Conference on Multimedia, MM 2005).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Internet traffic prediction by W-Boost: Classification and regression

    Tong, H., Li, C., He, J. & Chen, Y., 2005, In: Lecture Notes in Computer Science. 3498, III, p. 397-402 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Learning no-reference quality metric by examples

    Tong, H., Li, M., Zhang, H. J., Zhang, C., He, J. & Ma, W. Y., 2005, Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005. p. 247-254 8 p. 1385998. (Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multiple random walk and its application in content-based image retrieval

    He, J., Tong, H., Li, M., Wei-Ying, M. & Zhang, C., Nov 10 2005, MIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005. Association for Computing Machinery, p. 151-158 8 p. (MIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2004

    A boosting-based framework for self-similar and non-linear internet traffic prediction

    Tong, H., Li, C. & He, J., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Yin, F., Guo, C. & Wang, J. (eds.). Springer, p. 931-936 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3174).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Automatic peak number detection in image symmetry analysis

    He, J., Li, M., Zhang, H. J., Tong, H. & Zhang, C., 2004, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3333, p. 111-118 8 p.

    Research output: Contribution to journal › Article › peer-review