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• Joint Aspect-Sentiment Analysis with Minimal User Guidance

  Zhuang, H., Guo, F., Zhang, C., Liu, L. & 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. 1241-1250 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 proceeding › Conference contribution

  Open Access

  • Sentiment analysis
  • Glossaries
  • Seed
  • Joining
  • Experiments

• Joint feature selection and subspace learning

  Gu, Q., Li, Z. & Han, J., Dec 1 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 1294-1299 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Feature extraction
  • Face recognition
  • Machine learning
  • Set theory
  • Experiments

• KnowEnG: A knowledge engine for genomics

  Sinha, S., Song, J., Weinshilboum, R., Jongeneel, V. & Han, J., 2015, In: Journal of the American Medical Informatics Association. 22, 6, p. 1115-1119 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Genomics
  • Big Data
  • Datasets
  • Data Mining
  • Knowledge Bases

• Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform

  Blatti, C., Emad, A., Berry, M. J., Gatzke, L., Epstein, M., Lanier, D., Rizal, P., Ge, J., Liao, X., Sobh, O., Lambert, M., Post, C. S., Xiao, J., Groves, P., Epstein, A. T., Chen, X., Srinivasan, S., Lehnert, E., Kalari, K. R., Wang, L. & 8 others, Weinshilboum, R. M., Song, J. S., Jongeneel, C. V., Han, J., Ravaioli, U., Sobh, N., Bushell, C. B. & Sinha, S., 2020, In: PLoS biology. 18, 1, e3000583.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Genomics
  • engines
  • data analysis
  • Data Analysis
  • genomics

• Laplacian regularized Gaussian mixture model for data clustering

  He, X., Cai, D., Shao, Y., Bao, H. & Han, J., Jun 21 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 9, p. 1406-1418 13 p., 5677520.

  Research output: Contribution to journal › Article › peer-review

  • Probability distributions
  • Gaussian distribution
  • Maximum likelihood
  • Statistical Models
  • Geometry

• Large-scale embedding learning in heterogeneous event data

  Gui, H., Liu, J., Tao, F., Jiang, M., Norick, B. & Han, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 907-912 6 p. 7837924. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Experiments

• Large-scale spectral clustering on graphs

  Liu, J., Wang, C., Danilevsky, M. & Han, J., Dec 1 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1486-1492 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Clustering algorithms
  • Experiments

• Latent community topic analysis: Integration of community discovery with topic modeling

  Yin, Z., Cao, L., Gu, Q. & Han, J., Sep 2012, In: ACM Transactions on Intelligent Systems and Technology. 3, 4, 63.

  Research output: Contribution to journal › Article › peer-review

  • Community
  • Modeling
  • Text
  • Community Structure
  • Graph in graph theory

• Learning a Kernel for multi-task clustering

  Gu, Q., Li, Z. & Han, J., Nov 2 2011, AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. p. 368-373 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

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

  • Hilbert spaces
  • Unsupervised learning
  • Linear programming
  • Experiments

• 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 proceeding › Conference contribution

  • Cleaning
  • Semantics
  • Experiments

• Learning influence from heterogeneous social networks

  Liu, L., Tang, J., Han, J. & Yang, S., Nov 2012, In: Data Mining and Knowledge Discovery. 25, 3, p. 511-544 34 p.

  Research output: Contribution to journal › Article › peer-review

  • Heterogeneous networks
  • Marketing
  • Information retrieval
  • Agglomeration

• Learning named entity tagger using domain-specific dictionary

  Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., Jan 1 2020, 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 proceeding › Conference contribution

  • Glossaries
  • Labels
  • Labeling
  • Experiments

• Learning online discussion structures by conditional random fields

  Wang, H., Wang, C., Zhai, C. X. & Han, J., Jan 1 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 proceeding › Conference contribution

  • Statistical Models
  • Experiments

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

  Wang, C., Raina, R., Fong, D., Zhou, D., Han, J. & Badros, G., Jan 1 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 proceeding › Conference contribution

  • Marketing
  • Internet

• 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., Jan 1 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 proceeding › Conference contribution

  • Websites
  • Search engines
  • Classifiers
  • Internet
  • Experiments

• 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, Inc, p. 1078-1088 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

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

  • Semantics
  • Industry
  • Seed

• Liberal entity extraction: Rapid construction of fine-grained entity typing systems

  Huang, L., May, J., Pan, X., Ji, H., Ren, X., Han, J., Zhao, L. & Hendler, J. A., Mar 2017, In: Big Data. 5, 1, p. 19-31 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Knowledge representation
  • Language
  • Clustering algorithms
  • Hierarchical Clustering

• 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 proceeding › Conference contribution

  • Life Sciences
  • life sciences
  • Search engines
  • search engine
  • Tar

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

  Jin, X., Wang, C., Luo, J., Yu, X. & Han, J., Sep 16 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. 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 proceeding › Conference contribution

  • Websites
  • Heterogeneous networks
  • Fans
  • Internet
  • Industry

• Linear discriminant dimensionality reduction

  Gu, Q., Li, Z. & Han, J., Sep 9 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 proceeding › Conference contribution

  • Dimensionality Reduction
  • Discriminant analysis
  • Discriminant
  • Discriminant Analysis
  • Feature Selection

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

  Zhang, J., Chen, J., Zhi, S., Chang, Y., Yu, P. S. & 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 proceeding › Conference contribution

  • Experiments

• Locality preserving feature learning

  Gu, Q., Danilevsky, M., Li, Z. & Han, J., Jan 1 2012, In: Journal of Machine Learning Research. 22, p. 477-485 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Linear transformations
  • Locality
  • Learning
  • Indexing
  • Integer programming

• Locally consistent concept factorization for document clustering

  Cai, D., He, X. & Han, J., 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 6, p. 902-913 12 p., 5567104.

  Research output: Contribution to journal › Article › peer-review

  • Factorization
  • Geometry

• Locally discriminative coclustering

  Zhang, L., Chen, C., Bu, J., Chen, Z., Cai, D. & Han, J., May 7 2012, In: IEEE Transactions on Knowledge and Data Engineering. 24, 6, p. 1025-1035 11 p., 5740883.

  Research output: Contribution to journal › Article › peer-review

  • Linear regression
  • Clustering algorithms
  • Labels

• LPTA: A probabilistic model for latent periodic topic analysis

  Yin, Z., Cao, L., Han, J., Zhai, C. & Huang, T., Dec 1 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 proceeding › Conference contribution

  • Statistical Models
  • Technical presentations
  • Sales
  • Time series
  • Websites

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

  Chen, L., Li, X. & Han, J., Jan 1 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 proceeding › Conference contribution

  • Electric network analysis

• 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 proceeding › Conference contribution

  • Semantics
  • Embeddings (Algorithms)
  • Graph theory
  • Supervised learning
  • Set theory

• 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 proceeding › Conference contribution

  • Experiments

• Meta-path-based search and mining in heterogeneous information networks

  Sun, Y. & Han, J., Aug 2013, In: Tsinghua Science and Technology. 18, 4, p. 329-338 10 p., 06574671.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Feedback

• Methods for mining frequent items in data streams: An overview

  Liu, H., Lin, Y. & Han, J., 2011, In: Knowledge and Information Systems. 26, 1, p. 1-30 30 p.

  Research output: Contribution to journal › Article › peer-review

  • Cash registers
  • Monitoring
  • Information management
  • Agglomeration
  • Sensor networks

• 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 proceeding › Conference contribution

  Open Access

  • Metadata
  • Labels
  • Semantics

• 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 proceeding › Conference contribution

  • World Wide Web
  • Statistical Models

• Mining discriminative patterns for classifying trajectories on road networks

  Lee, J. G., Han, J., Li, X. & Cheng, H., 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 5, p. 713-726 14 p., 5560657.

  Research output: Contribution to journal › Article › peer-review

  • Trajectories
  • Radio frequency identification (RFID)
  • Global positioning system
  • Data structures
  • Planning

• Mining diversity on social media networks

  Liu, L., Zhu, F., Jiang, M., Han, J., Sun, L. & Yang, S., Jan 2012, In: Multimedia Tools and Applications. 56, 1, p. 179-205 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Electric network analysis
  • Websites
  • Availability
  • Semantics
  • Bandwidth

• 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 proceeding › Conference contribution

  • Global positioning system
  • Data mining
  • Uncertainty
  • Sensors
  • Experiments

• 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 proceeding › Conference contribution

  • Semantics

• Mining flipping correlations from large datasets with taxonomies

  Barsky, M., Kim, S., Weninger, T. & Han, J., Dec 2011, In: Proceedings of the VLDB Endowment. 5, 4, p. 370-381 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Large dataset
  • Taxonomies

• 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 proceeding › Conference contribution

  • Data mining
  • Medical information systems
  • Heterogeneous networks
  • Health care
  • Big data

• Mining knowledge from data: An information network analysis approach

  Han, J., Sun, Y., Yan, X. & Yu, P. S., Jul 30 2012, In: Proceedings - International Conference on Data Engineering. p. 1214-1217 4 p., 6228171.

  Research output: Contribution to journal › Conference article › peer-review

  • Electric network analysis
  • Data mining
  • Students

• Mining knowledge from interconnected data: A heterogeneous information network analysis approach

  Sun, Y., Han, J., Yan, X. & Yu, P. S., Aug 2012, In: Proceedings of the VLDB Endowment. 5, 12, p. 2022-2023 2 p.

  Research output: Contribution to journal › Article › peer-review

  • Electric network analysis
  • Semantics
  • Data storage equipment

• 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 proceeding › Conference contribution

  • Cyber Physical System
  • Sand
  • Trajectories
  • Sensors
  • Miners

• Mining periodic behaviors of object movements for animal and biological sustainability studies

  Li, Z., Han, J., Ding, B. & Kays, R., Mar 1 2012, In: Data Mining and Knowledge Discovery. 24, 2, p. 355-386 32 p.

  Research output: Contribution to journal › Article › peer-review

  • Animals
  • Sustainable development
  • Climate change
  • Ecosystems
  • Autocorrelation

• 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 proceeding › Conference contribution

  • Big data
  • Semantics
  • Experiments

• Mining significant time intervals for relationship detection

  Li, Z., Lin, C. X., Ding, B. & Han, J., Sep 19 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 proceeding › Conference contribution

  • Mining
  • Labels
  • Global positioning system
  • Trajectories
  • Relationships

• Mining software specifications: Methodologies and applications

  Lo, D., Khoo, S. C., Han, J. & Liu, C., Jan 1 2011, CRC Press. 433 p.

  Research output: Book/Report/Conference proceeding › Book

  • Specifications
  • Computer software maintenance
  • Software reliability
  • Data mining
  • Software engineering

• Mining strong relevance between heterogeneous entities from unstructured biomedical data

  Ji, M., He, Q., Han, J. & Spangler, S., Jul 8 2015, In: Data Mining and Knowledge Discovery. 29, 4, p. 976-998 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Search engines

• Mining Structures from Massive Text Data: A Data-Driven Approach

  Han, J., Jan 1 2017, In: CEUR Workshop Proceedings. 2029, p. 16-19 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Big data

• Mining top-K large structural patterns in a massive network

  Zhu, F., Qu, Q., Lo, D., Yan, X., Han, J. & Yu, P. S., Aug 1 2011, In: Proceedings of the VLDB Endowment. 4, 11, p. 807-818 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Set theory
  • Costs

• Mining trajectory data and geotagged data in social media for road map inference

  Li, J., Qin, Q., Han, J., Tang, L. A. & Lei, K. H., Feb 1 2015, In: Transactions in GIS. 19, 1, p. 1-18 18 p.

  Research output: Contribution to journal › Article › peer-review

  • social media
  • trajectory
  • labor
  • commercial vehicle
  • road

• Mitexcube: Microtextcluster cube for online analysis of text cells

  Zhang, D., Zhai, C. & Han, J., Dec 1 2011, p. 204-218. 15 p.

  Research output: Contribution to conference › Paper › peer-review

  • Text processing