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Jing Rui He

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  • 2020

    Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting

    Zhou, D., Zheng, L., Zhu, Y., Li, J. & He, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 2230-2240 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

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

  • Generic Outlier Detection in Multi-Armed Bandit

    Ban, Y. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 913-923 11 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

  • InFoRM: Individual Fairness on Graph Mining

    Kang, J., He, J., MacIejewski, R. & Tong, H., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 379-389 11 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

  • Local Motif Clustering on Time-Evolving Graphs

    Fu, D., Zhou, D. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 390-400 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Towards fine-grained temporal network representation via time-reinforced random walk

    Liu, Z., Zhou, D., Zhu, Y., Gu, J. & He, J., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. American Association for Artificial Intelligence (AAAI) Press, p. 4973-4980 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

  • 2019

    Convolution-consistent collective matrix completion

    Liu, X., He, J., Duddy, S. & O'Sullivan, L., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2209-2212 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Deep multimodality model for multi-task multi-view learning

    Zheng, L., Cheng, Y. & He, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 10-16 7 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  • Deep multi-task learning with adversarial-and-cooperative nets

    Yang, P., Tan, Q., Ye, J., Tong, H. & He, J., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 4078-4084 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

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

    Open Access

  • Demo-Net: Degree-specific graph neural networks for node and graph classification

    Wu, J., He, J. & Xu, 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. 406-415 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

  • Gold panning from the mess: Rare category exploration, exposition, representation, and interpretation

    Zhou, D. & 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. 3213-3214 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

  • 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