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Jiawei Han

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  • Conference contribution

    UnkClus: Efficient clustering via heterogeneous semantic links

    Yin, X., Han, J. & Yu, P. S., 2006, VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases. Association for Computing Machinery, p. 427-438 12 p. (VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases).

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

  • Unsupervised attributed multiplex network embedding

    Park, C., Kim, D., Han, J. & Yu, H., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. American Association for Artificial Intelligence (AAAI) Press, p. 5371-5378 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

  • Unsupervised concept categorization and extraction from scientific document titles

    Krishnan, A., Sankar, A., Zhi, S. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1339-1348 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

    Open Access

  • Unsupervised Differentiable Multi-aspect Network Embedding

    Park, C., Yang, C., Zhu, Q., Kim, D., Yu, H. & Han, 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. 1435-1445 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

  • Unsupervised disaggregation of low frequency power measurements

    Kim, H., Marwah, M., Arlitt, M., Lyon, G. & Han, J., 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Society for Industrial and Applied Mathematics Publications, p. 747-758 12 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

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

  • Unsupervised Event Chain Mining from Multiple Documents

    Jiao, Y., Zhong, M., Shen, J., Zhang, Y., Zhang, C. & Han, J., Apr 30 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 1948-1959 12 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

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

    Open Access

  • Unsupervised Key Event Detection from Massive Text Corpora

    Zhang, Y., Guo, F., Shen, J. & Han, J., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2535-2544 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

    Open Access

  • Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding

    Yoon, S., Lee, D., Zhang, Y. & Han, J., Jul 19 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 802-811 10 p. (SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

    Open Access

  • Urbanity: A system for interactive exploration of urban dynamics from streaming human sensing data

    Liu, M., Liu, Z., Zhang, C., Zhang, K., Yuan, Q., Hanratty, T. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2503-2506 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription

    Shi, Y., He, X., Zhang, N., Yang, C. & Han, J., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 361-377 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

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

  • User guided entity similarity search using meta-path selection in heterogeneous information networks

    Yu, X., Sun, Y., Norick, B., Mao, T. & Han, J., 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 2025-2029 5 p. (ACM International Conference Proceeding Series).

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

  • VideoMule: A consensus learning approach to multi-label classification from noisy user-generated videos

    Ramachandran, C., Malik, R., Jin, X., Gao, J., Nahrstedt, K. & Han, J., 2009, MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums. p. 721-724 4 p. (MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums).

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

  • Visual cube and On-Line Analytical Processing of images

    Jin, X., Han, J., Cao, L., Luo, J., Ding, B. & Lin, C. X., 2010, CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. p. 849-858 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Warehousing and analyzing massive RFID data sets

    Gonzalez, H., Han, J., Li, X. & Klabjan, D., 2006, Proceedings of the 22nd International Conference on Data Engineering, ICDE '06. p. 83 1 p. 1617451. (Proceedings - International Conference on Data Engineering; vol. 2006).

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

    Open Access

  • Warehousing and mining massive RFID data sets

    Han, J., Gonzalez, H., Li, X. & Klabjan, D., 2006, Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings. Li, X., Zaïane, O. R. & Li, Z. (eds.). Springer, p. 1-18 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4093 LNAI).

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

  • Weakly-supervised aspect-based sentiment analysis via joint aspect-sentiment topic embedding

    Huang, J., Meng, Y., Guo, F., Ji, H. & Han, J., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 6989-6999 11 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

  • Weakly-supervised hierarchical text classification

    Meng, Y., Shen, J., Zhang, C. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. American Association for Artificial Intelligence (AAAI) Press, p. 6826-6833 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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

  • Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers

    Zhang, Y., Jin, B., Chen, X., Shen, Y., Zhang, Y., Meng, Y. & Han, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3458-3469 12 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

  • Weakly-supervised neural text classification

    Meng, Y., Shen, J., Zhang, C. & Han, J., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 983-992 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    Open Access

  • Weakly-supervised relation extraction by pattern-enhanced embedding learning

    Qu, M., Ren, X., Zhang, Y. & Han, J., Apr 10 2018, The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, p. 1257-1266 10 p. (The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018).

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

    Open Access

  • When do GNNs work: Understanding and improving neighborhood aggregation

    Xie, Y., Li, S., Yang, C., Wong, R. C. W. & Han, J., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 1303-1309 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

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

  • When will it happen? - Relationship prediction in heterogeneous information networks

    Sun, Y., Han, J., Aggarwal, C. C. & Chawla, N. V., 2012, WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining. p. 663-672 10 p. (WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining).

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

  • WINACS: Construction and analysis of web-based computer science information networks

    Weninger, T., Danilevsky, M., Fumarola, F., Hailpern, J., Han, J., Johnston, T. J., Kallumadi, S., Kim, H., Li, Z., McCloskey, D., Sun, Y., TeGrotenhuis, N. E., Wang, C. & Yu, X., 2011, Proceedings of SIGMOD 2011 and PODS 2011. Association for Computing Machinery, p. 1255-1257 3 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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