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• 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

  • Grammar
  • Probabilistic Model
  • Tag
  • Qualitative Analysis
  • Knowledge Base

• 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

  • Heterogeneous networks
  • Experiments

• Unsupervised disaggregation of low frequency power measurements

  Kim, H., Marwah, M., Arlitt, M., Lyon, G. & Han, J., Dec 1 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. 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

  • Conservation
  • Climate change
  • Hidden Markov models

• 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

  • Urban Dynamics
  • Modeling
  • Urban Environment
  • Query
  • Urbanization

• 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

  • Transcription
  • Tensors
  • Clustering
  • Semantics
  • Interaction

• 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. 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

  • Deep neural networks
  • Experiments

• 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

  • Text Classification
  • Supervision
  • Module
  • Bootstrap
  • Generator

• 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, Inc, 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

  • Seed
  • Statistics
  • Classifiers
  • Neural networks
  • Experiments

• 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

  • Agglomeration
  • Neural networks
  • Experiments

• 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., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. 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

  • Electric network analysis
  • Computer science
  • Data Science
• Editorial

  Uncovering deception in social media: A special issue in Springer Journal Social Network Analysis and Mining.

  Liu, H., Han, J. & Motoda, H., Jan 1 2014, In: Social Network Analysis and Mining. 4, 1, p. 1-2 2 p., 162.

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

• Welcome message from the organizers

  Bertino, E., Han, J., Johnson, M., Stonebraker, M., Baru, C. & Banavar, G., Jan 1 2016, In: Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. 7840576.

  Research output: Contribution to journal › Editorial › peer-review
• Foreword/postscript

  Foreword

  Han, J., Dec 1 2011, Social Network Mining, Analysis, and Research Trends: Techniques and Applications. IGI Global, p. xviii

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

• Foreword

  Han, J., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. xix-xx

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

• Foreword

  Han, J., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. xix-xx

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

• Preface

  Lo, D., Khoo, S. C., Han, J. & Liu, C., Jan 1 2011, Mining Software Specifications: Methodologies and Applications. CRC Press, p. xiii-xiv

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

• Studies in Computational Intelligence: Foreword

  Han, J., Mar 7 2011, Mining of Data with Complex Structures. p. VII-VIII (Studies in Computational Intelligence; vol. 333).

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript
• Paper

  ASPEM: Embedding learning by aspects in heterogeneous information networks

  Shi, Y., Gui, H., Zhu, Q., Kaplan, L. & Han, J., 2018, p. 144-152. 9 p.

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

  Open Access

  • Semantics
  • Statistics
  • Experiments

• Generalized fisher score for feature selection

  Gu, Q., Li, Z. & Han, J., Sep 29 2011, p. 266-273. 8 p.

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

  • Feature Selection
  • Feature extraction
  • Integer programming
  • Linear programming
  • Projected Gradient

• 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

• Regularized ℓ¹-Graph for data clustering

  Yang, Y., Wang, Z., Yang, J., Han, J. & Huang, T. S., Jan 1 2014.

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

  • Set theory
• Review article

  Individualized knowledge graph: a viable informatics path to precision medicine

  Ping, P., Watson, K., Han, J. & Bui, A., Mar 31 2017, In: Circulation Research. 120, 7, p. 1078-1080 3 p.

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

• Outlier Detection for Temporal Data: A Survey

  Gupta, M., Gao, J., Aggarwal, C. C. & Han, J., Sep 1 2014, In: IEEE Transactions on Knowledge and Data Engineering. 26, 9, p. 2250-2267 18 p., 6684530.

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

  • Anomaly detection
  • Time series
  • Computer hardware
  • Computer science
  • Information management
• Working paper

  Automatic Textual Evidence Mining in COVID-19 Literature

  Wang, X., Liu, W., Chauhan, A., Guan, Y. & Han, J., Apr 27 2020, (In preparation) (arXiv:2004.12563).

  Research output: Working paper

  • Visualization