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  • Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification

    Zhang, Y., Shen, Z., Wu, C. H., Xie, B., Hao, J., Wang, Y. Y., Wang, K. & Han, J., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3162-3173 12 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

    Yang, C., Feng, Y., Li, P., Shi, Y. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 657-666 10 p. 8594890. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • MetaPAD: Meta pattern discovery from massive text corpora

    Jiang, M., Shang, J., Cassidy, T., Ren, X., Kaplan, L. M., Hanratty, T. P. & Han, 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. 877-886 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 proceedingConference contribution

  • Minimally Supervised Categorization of Text with Metadata

    Zhang, Y., Meng, Y., Huang, J., Xu, F. F., Wang, X. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1231-1240 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Minimally-supervised structure-rich text categorization via learning on text-rich networks

    Zhang, X., Zhang, C., Dong, X. L., Shang, J. & Han, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 3258-3268 11 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining, indexing, and similarity search in graphs and complex structures

    Han, J., Yan, X. & Yu, P. S., Oct 17 2006, Proceedings of the 22nd International Conference on Data Engineering, ICDE '06. 1 p. 1617474. (Proceedings - International Conference on Data Engineering; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining access patterns efficiently from web logs

    Pei, J., Han, J., Mortazavi-Asl, B. & Zhu, H., 2000, Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Terano, T., Liu, H. & Chen, A. L. P. (eds.). Springer, p. 396-407 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1805).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining advisor-advisee relationships from research publication networks

    Wang, C., Han, J., Jia, Y., Tang, J., Zhang, D. & Yu, Y., 2010, KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. p. 203-212 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining approximate top-K subspace anomalies in multi-dimensional time-series data

    Li, X. & Han, J., 2007, 33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings. Gehrke, J., Koch, C., Garofalakis, M., Aberer, K., Kanne, C-C., Neuhold, E. J., Ganti, V., Klas, W., Chan, C-Y., Srivastava, D., Florescu, D. & Deshpande, A. (eds.). Association for Computing Machinery, Inc, p. 447-458 12 p. (33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining collective intelligence in diverse groups

    Qi, G. J., Aggarwal, C. C., Han, J. & Huang, T., 2013, WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web. Association for Computing Machinery, p. 1041-1051 11 p. (WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining colossal frequent patterns by core pattern fusion

    Zhu, F., Yan, X., Han, J., Allen, G. D. & Cheng, H., 2007, 23rd International Conference on Data Engineering, ICDE 2007. p. 706-715 10 p. 4221719. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining complex matchings across web query interfaces

    He, B., Chang, K. C-C. & Han, J., 2004, Workshop Proceedings - The 9th Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, In Conjunction with ACM SIGMOD International Conference on Management of Data, SIGMOD-04. p. 3-10 8 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining compressed commodity workflows from massive RFID data sets

    Gonzalez, H., Han, J. & Li, X., 2006, Proceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006. p. 162-171 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining compressed frequent-pattern sets

    Xin, D., Han, J., Yan, X. & Cheng, H., 2005, VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases. p. 709-720 12 p. (VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining control flow abnormality for logic error isolation

    Liu, C., Yan, X. & Han, J., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 106-117 12 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining discriminative patterns to predict health status for cardiopulmonary patients

    Cheng, Q., Shang, J., Juen, J., Han, J. & Schatz, B., Oct 2 2016, ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 41-49 9 p. (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining diversity on networks

    Liu, L., Zhu, F., Chen, C., Yan, X., Han, J., Allen, G. D. & Yang, S., 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. PART 1 ed. p. 384-398 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5981 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining entity synonyms with efficient neural set generation

    Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B. & 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. 249-256 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 proceedingConference contribution

  • Mining event periodicity from incomplete observations

    Li, Z., Wang, J. & Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 444-452 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining evidences for named entity disambiguation

    Li, Y., Wang, C., Han, F., Han, J., Roth, D. & Yan, X., 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. 1070-1078 9 p. 2487681. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining evolving customer-product relationships in multi-dimensional space

    Li, X., Han, J., Yin, X. & Xin, D., Dec 12 2005, Proceedings - 21st International Conference on Data Engineering, ICDE 2005. p. 580-581 2 p. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining frequent itemsets using support constraints

    Wang, K., He, Y. & Han, J., 2000, Proceedings of the 26th International Conference on Very Large Data Bases, VLDB'00. p. 43-52 10 p. (Proceedings of the 26th International Conference on Very Large Data Bases, VLDB'00).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining frequent patterns from very high dimensional data: A top-down row enumeration approach

    Liu, H., Han, J., Xin, D. & Shao, Z., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 282-293 12 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining heterogeneous information networks: The next frontier

    Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 2-3 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining heterogeneous information networks by exploring the power of links

    Han, J., Nov 16 2009, Discovery Science - 12th International Conference, DS 2009, Proceedings. p. 13-30 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5808 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining hidden community in heterogeneous social network

    Cai, D., Shao, Z., He, X., Yan, X. & Han, J., Aug 21 2005, 3rd International Workshop on Link Discovery, LinkKDD 2005 - in conjunction with 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Inc, p. 58-65 8 p. (3rd International Workshop on Link Discovery, LinkKDD 2005 - in conjunction with 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining knowledge from databases: An information network analysis approach

    Han, J., Sun, Y., Yan, X. & Allen, G. D., 2010, Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10. p. 1251-1252 2 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining latent entity structures from massive unstructured and interconnected data

    Han, J. & Wang, C., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1409-1410 2 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining lines in the sand: On trajectory discovery from untrustworthy data in cyber-physical system

    Tang, L. A., Yu, X., Gu, Q., Han, J., Leung, A. & La Porta, T., 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. 410-418 9 p. 2487585. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining moving object, trajectory and traffic data

    Han, J., Li, Z. & Tang, L. A., 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. PART 2 ed. p. 485-486 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5982 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

    Wang, J., Tong, W., Yu, H., Li, M., Ma, X., Cai, H., Hanratty, T. & Han, 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. 429-438 10 p. 7373347. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining multi-dimensional constrained gradients in data cubes

    Dong, G., Han, J., Lam, J., Pei, J. & Wang, K., 2001, VLDB 2001 - Proceedings of 27th International Conference on Very Large Data Bases. Apers, P. M. G., Atzeni, P., Snodgrass, R. T., Ceri, S., Ramamohanarao, K. & Paraboschi, S. (eds.). Morgan Kaufmann, p. 321-330 10 p. (VLDB 2001 - Proceedings of 27th International Conference on Very Large Data Bases).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach

    Kim, H., El-Kishky, A., Ren, X. & Han, J., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 105-114 10 p. 9006049. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining periodic behaviors for moving objects

    Li, Z., Ding, B., Han, J., Kays, R. & Nye, P., Sep 7 2010, KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. p. 1099-1108 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining personal image collection for social group suggestion

    Yu, J., Jin, X., Han, J. & Luo, J., 2009, ICDM Workshops 2009 - IEEE International Conference on Data Mining. p. 202-207 6 p. 5360503. (ICDM Workshops 2009 - IEEE International Conference on Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining preferences from superior and inferior examples

    Jiang, B., Pei, J., Lin, X., Cheung, D. W. & Han, J., 2008, KDD 2008 - Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. p. 390-398 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining quality phrases from massive text corpora

    Liu, J., Shang, J., Wang, C., Ren, X. & Han, J., May 27 2015, SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1729-1744 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 2015-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks

    Zhuang, H., Zhang, J., Brova, G., Tang, J., Cam, H., Yan, X. & Han, 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. 1127-1132 6 p. 7023458. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining reliable information from passively and actively crowdsourced data

    Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2121-2122 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining scale-free networks using geodesic clustering

    Wu, A. Y., Garland, M. & Han, J., 2004, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Kohavi, R., Gehrke, J., DuMouchel, W. & Ghosh, J. (eds.). p. 719-724 6 p. (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining significant graph patterns by leap search

    Yan, X., Cheng, H., Han, J. & Allen, G. D., 2008, SIGMOD 2008: Proceedings of the ACM SIGMOD International Conference on Management of Data 2008. p. 433-444 12 p. 1376662. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining significant time intervals for relationship detection

    Li, Z., Lin, C. X., Ding, B. & Han, J., 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. p. 386-403 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6849 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining text outliers in document directories

    Fouche, E., Meng, Y., Guo, F., Zhuang, H., Bohm, K. & Han, J., Nov 2020, Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020. Plant, C., Wang, H., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 152-161 10 p. 9338390. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2020-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining topic-level influence in heterogeneous networks

    Liu, L., Tang, J., Han, J., Jiang, M. & Yang, S., 2010, CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. p. 199-208 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining top-K frequent closed patterns without minimum support

    Han, J., Wang, J., Lu, Y. & Tzvetkov, P., 2002, Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002. p. 211-218 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining top-n local outliers in large databases

    Jin, W., Tung, A. K. H. & Han, J., 2001, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Provost, F., Srikant, R., Schkolnick, M. & Lee, D. (eds.). Association for Computing Machinery (ACM), p. 293-298 6 p. (Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • MLR-index: An index structure for fast and scalable similarity search in high dimensions

    Malik, R., Kim, S., Jin, X., Ramachandran, C., Han, J., Gupta, I. & Nahrstedt, K., 2009, Scientific and Statistical Database Management - 21st International Conference, SSDBM 2009, Proceedings. p. 167-184 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5566 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling and exploiting heterogeneous bibliographic networks for expertise ranking

    Deng, H., Han, J., Lyu, M. R. & King, I., Jul 11 2012, JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries. p. 71-80 10 p. (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling check-in preferences with multidimensional knowledge: A minimax entropy approach

    Wang, J., Li, M., Han, J. & Wang, X., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 297-306 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling hidden topics on document manifold

    Cai, D., Mei, Q., Han, J. & Zhai, C., 2008, Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. p. 911-920 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution