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  • Conference contribution

    Learning a Kernel for Multi-Task Clustering

    Gu, Q., Li, Z. & Han, J., Aug 11 2011, Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011. American Association for Artificial Intelligence (AAAI) Press, p. 368-373 6 p. (Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011).

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

  • Learning a spatially smooth subspace for face recognition

    Cai, D., He, X., Hu, Y., Han, J. & Huang, T., 2007, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07. 4270079. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  • Learning hierarchical relationships among partially ordered objects with heterogeneous attributes and links

    Wang, C., Han, J., Li, Q., Li, X., Lin, W. P. & Ji, H., 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 516-527 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Learning named entity tagger using domain-specific dictionary

    Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 2054-2064 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

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

  • Learning online discussion structures by conditional random fields

    Wang, H., Wang, C., Zhai, C. X. & Han, J., 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 435-444 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Learning relevance from heterogeneous social network and its application in online targeting

    Wang, C., Raina, R., Fong, D., Zhou, D., Han, J. & Badros, G., 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 655-664 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Learning search tasks in queries and web pages via graph regularization

    Ji, M., Yan, J., Gu, S., Han, J., He, X., Zhang, W. V. & Chen, Z., 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 55-64 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Learning to efficiently rank on big data

    Wang, L., Lin, J., Metzler, D. & Han, J., Apr 7 2014, WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, p. 209 1 p. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

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

  • Leveraging pattern semantics for extracting entities in enterprises

    Tao, F., Zhao, B., Fuxman, A., Li, Y. & Han, J., May 18 2015, WWW 2015 - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, p. 1078-1088 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

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

  • Leveraging periodicity in human mobility for next place prediction

    Prabhala, B., Wang, J., Deb, B., La Porta, T. & Han, J., Apr 3 2016, IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., p. 2665-2670 6 p. 6952829. (IEEE Wireless Communications and Networking Conference, WCNC).

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

  • Liberal event extraction and event schema induction

    Huang, L., Cassidy, T., Feng, X., Ji, H., Voss, C. R., Han, J. & Sil, A., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 258-268 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 1).

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

  • Life-iNet: A structured network-based knowledge exploration and analytics system for life sciences

    Ren, X., Shen, J., Qu, M., Wang, X., Wu, Z., Zhu, Q., Jiang, M., Tao, F., Sinha, S., Liem, D., Ping, P., Weinshilboum, R. & Han, J., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations. Association for Computational Linguistics (ACL), p. 55-60 6 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations).

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

  • LikeMiner: A system for mining the power of'like'in social media networks

    Jin, X., Wang, C., Luo, J., Yu, X. & Han, J., 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. Association for Computing Machinery, p. 753-756 4 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Linear discriminant dimensionality reduction

    Gu, Q., Li, Z. & Han, J., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. PART 1 ed. p. 549-564 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

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

    Open Access
  • Link prediction across aligned networks with sparse & low rank matrix estimation

    Zhang, J., Chen, J., Zhi, S., Chang, Y., Allen, G. D. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 971-982 12 p. 7930040. (Proceedings - International Conference on Data Engineering).

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

  • LINKREC: A unified framework for link recommendation with user attributes and graph structure

    Yin, Z., Gupta, M., Weninger, T. & Han, J., Jul 20 2010, Proceedings of the 19th International Conference on World Wide Web, WWW '10. p. 1211-1212 2 p. (Proceedings of the 19th International Conference on World Wide Web, WWW '10).

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

  • Locality preserving nonnegative matrix factorization

    Cai, D., He, X., Wang, X., Bao, H. & Han, J., 2009, IJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, p. 1010-1015 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Local learning for mining outlier subgraphs from network datasets

    Gupta, M., Mallya, A., Roy, S., Cho, J. H. D. & Han, J., 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. 73-81 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

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

  • LPTA: A probabilistic model for latent periodic topic analysis

    Yin, Z., Cao, L., Han, J., Zhai, C. & Huang, T., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 904-913 10 p. 6137295. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • MACFP: Maximal approximate consecutive frequent pattern mining under edit distance

    Shang, J., Peng, J. & Han, J., 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

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

    Open Access
  • Mapping web pages to database records via link paths

    Weninger, T., Fumarola, F., Han, J. & Malerba, D., 2010, CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. p. 1637-1640 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • MATCH: Metadata-aware text classification in a large hierarchy

    Zhang, Y., Shen, Z., Dong, Y., Wang, K. & Han, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, p. 3246-3257 12 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

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

  • MedRank: Discovering influential medical treatments from literature by information network analysis

    Chen, L., Li, X. & Han, J., 2013, Proceedings of the 24th Australasian Database Conference, ADC 2013. Wang, H. & Zhang, R. (eds.). Australian Computer Society, p. 3-12 10 p. (Conferences in Research and Practice in Information Technology Series; vol. 137).

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

  • MentorGNN: Deriving Curriculum for Pre-Training GNNs

    Zhou, D., Zheng, L., Fu, D., Han, J. & He, J., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2721-2731 11 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • 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, 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

  • Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes

    Kamber, M., Han, J. & Chiang, J. Y., 1997, Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997. Heckerman, D., Mannila, H., Pregibon, D. & Uthurusamy, R. (eds.). American Association for Artificial Intelligence (AAAI) Press, p. 207-210 4 p. (Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997).

    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, 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, 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, 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, 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., 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 Frequent Patterns without Candidate Generation

    Han, J., Pei, J. & Yin, Y., 2000, SIGMOD 2000 - Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1-12 12 p. (SIGMOD 2000 - Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data).

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

  • Mining heterogeneous information networks: The next frontier

    Han, J., 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