No photo of Jing Rui He

View Scopus Profile

Jing Rui He

Filter
Conference contribution

Search results

  • 2019

    ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

    Wu, J., He, J. & Liu, Y., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 871-880 10 p. 8622603. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

  • Motif-Preserving Dynamic Local Graph Cut

    Zhou, D., He, J., Davulcu, H. & MacIejewski, R., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1156-1161 6 p. 8622263. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

  • Optimizing the wisdom of the crowd: Inference, learning, and teaching

    Zhou, Y., Ma, F., Gao, J. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3231-3232 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

    Open Access

  • Scalable manifold-regularized attributed network embedding via maximum mean discrepancy

    Wu, J. & He, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2101-2104 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Source Free Domain Adaptation Using an Off-the-Shelf Classifier

    Nelakurthi, A. R., MacIejewski, R. & He, J., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 140-145 6 p. 8622112. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

  • Task-adversarial co-generative nets

    Yang, P., Tong, H., Tan, Q. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1596-1604 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

    Open Access

  • Textual indicator extraction from aviation accident reports

    Hu, X., Wu, J. & He, J., 2019, AIAA Aviation 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Aviation 2019 Forum).

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

  • Towards explainable representation of time-evolving graphs via spatial-temporal graph attention networks

    Liu, Z., Zhou, D. & He, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2137-2140 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    Open Access
  • 2018

    A local algorithm for product return prediction in E-commerce

    Zhu, Y., Li, J., He, J., Quanz, B. L. & Deshpande, A. A., Jul 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3718-3724 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

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

  • A winners-take-all incentive mechanism for crowd-powered systems

    Jiang, P., Wang, W., Ying, L., Zhou, Y. & He, J., Jun 18 2018, Proceedings of NetEcon 2018: The 13th Workshop on the Economics of Networks, Systems, and Computation - In conjunction with ACM SIGMETRICS 2018: The ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery, 3. (Proceedings of NetEcon 2018: The 13th Workshop on the Economics of Networks, Systems, and Computation - In conjunction with ACM SIGMETRICS 2018: The ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems).

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

  • E-tail product return prediction via hypergraph-based local graph cut

    Li, J., He, J. & Zhu, Y., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 519-527 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

  • Unlearn what you have learned: Adaptive crowd teaching with exponentially decayed memory learners

    Zhou, Y., Nelakurthi, A. R. & He, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2817-2826 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • 2017

    A local algorithm for structure-preserving graph cut

    Zhou, D., Zhang, S., Yildirim, M. Y., Alcorn, S., Tong, H., Davulcu, H. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 655-664 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

    Open Access

  • A randomized approach for crowdsourcing in the presence of multiple views

    Zhou, Y. & He, J., Dec 15 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 685-694 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

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

  • HiDDen: Hierarchical dense subgraph detection with application to financial fraud detection

    Zhang, S., Zhou, D., Yildirim, M. Y., Alcorn, S., He, J., Davulcu, H. & Tong, H., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 570-578 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

    Open Access

  • HiMuV: Hierarchical framework for modeling multi-modality multi-resolution data

    Li, J., He, J. & Zhu, Y., Dec 15 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 267-276 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

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

  • Learning from data heterogeneity: Algorithms and applications

    He, J., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5126-5130 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

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

    Open Access

  • Learning from multi-modality multi-resolution data: An optimization approach

    Zhu, Y., Li, J. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 714-722 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

    Open Access

  • Local algorithm for user action prediction towards display ads

    Yang, H., Zhu, Y. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2091-2099 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • MultiC2: An Optimization framework for learning from task and worker dual heterogeneity

    Zhou, Y., Ying, L. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 579-587 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

    Open Access

  • Multi-task function-on-function regression with co-grouping structured sparsity

    Yang, P., Tan, Q. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1255-1264 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • User-guided cross-domain sentiment classification

    Nelakurthi, A. R., Tong, H., MacIejewski, R., Bliss, N. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 471-479 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

    Open Access
  • 2016

    A graph-based hybrid framework for modeling complex heterogeneity

    Yang, P. & He, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z.-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1081-1086 6 p. 7373439. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

  • Bi-Level rare temporal pattern detection

    Zhou, D., He, J., Cao, Y. & Seo, J. S., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 719-728 10 p. 7837896. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

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

  • Cross-Site Virtual Social Network Construction

    Xie, C., Yang, D., He, J. & Xiao, Y., Jan 29 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z.-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1660-1663 4 p. 7395882. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

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

  • Functional regression with mode-sparsity constraint

    Yang, P. & He, J., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1311-1316 6 p. 7837991. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

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

  • Heterogeneous representation learning with structured sparsity regularization

    Yang, P. & He, J., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 539-548 10 p. 7837878. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

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

  • On the connectivity of multi-layered networks: Models, measures and optimal control

    Chen, C., He, J., Bliss, N. & Tong, H., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z.-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 715-720 6 p. 7373378. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

  • Rare category detection on time-evolving graphs

    Zhou, D., Wang, K., Cao, N. & He, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z.-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1135-1140 6 p. 7373448. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

  • 2015

    A graph-based recommendation across heterogeneous domains

    Yang, D., He, J., Qin, H., Xiao, Y. & Wang, W., Oct 17 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 463-472 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

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

  • Co-clustering based dual prediction for cargo pricing optimization

    Zhu, Y., Yang, H. & 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. 1583-1592 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

  • Hierarchical active transfer learning

    Kale, D., Ghazvininejad, M., Ramakrishna, A., He, J. & Liu, Y., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 514-522 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

    Open Access

  • 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

  • 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

  • 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

  • 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 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

  • 2010

    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