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• Conference contribution

  Task-guided pair embedding in heterogeneous network

  Park, C., Kim, D., Zhu, Q., Han, J. & Yu, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 489-498 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Node
  • Modeling
  • Classifier
  • Guidance
  • Experiment

• TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

  Shen, J., Shen, Z., Xiong, C., Wang, C., Wang, K. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 486-497 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

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

  Open Access

  • Taxonomies
  • Neural networks
  • Anchors
  • Search engines
  • Labels

• TEXplorer: Keyword-based object search and exploration in multidimensional text databases

  Zhao, B., Lin, X., Ding, B. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1709-1718 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Key Words
  • Data Base
  • Online Analytical Processing
  • Top-k
  • Ranking

• Text classification with heterogeneous information network kernels

  Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI Press, p. 2130-2136 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

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

  • Classifiers
  • Experiments

• The joint inference of topic diffusion and evolution in social communities

  Lin, C. X., Mei, Q., Han, J., Jiang, Y. & Danilevsky, M., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 378-387 10 p. 6137242. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Statistical Models
  • Videodisks
  • Experiments

• The sparse regression cube: A reliable modeling technique for open cyber-physical systems

  Ahmadi, H., Abdelzaher, T., Han, J., Pham, N. & Ganti, R. K., Aug 10 2011, Proceedings - 2011 IEEE/ACM 2nd International Conference on Cyber-Physical Systems, ICCPS 2011. p. 87-96 10 p. 5945424. (Proceedings - 2011 IEEE/ACM 2nd International Conference on Cyber-Physical Systems, ICCPS 2011).

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

  • Open systems
  • Cyber Physical System
  • Computer simulation
  • Large scale systems
  • Linear regression

• The wisdom of minority: Unsupervised slot filling validation based on multi-dimensional truth-finding

  Yu, D., Huang, H., Cassidy, T., Ji, H., Wang, C., Zhi, S., Han, J., Voss, C. & Magdon-Ismail, M., Jan 1 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 1567-1578 12 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

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

  • Minorities
  • Wisdom
  • wisdom
  • minority
  • Information Extraction

• Top-K interesting subgraph discovery in information networks

  Gupta, M., Gao, J., Yan, X., Cam, H. & Han, J., 2014, 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. IEEE Computer Society, p. 820-831 12 p. 6816703. (Proceedings - International Conference on Data Engineering).

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

  • Heterogeneous networks
  • Topology

• TOPTRAC: Topical trajectory pattern mining

  Kim, Y., Han, J. & Yuan, C., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 587-596 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

  • Global positioning system
  • Trajectories
  • Semantics
  • Clustering algorithms
  • Cellular telephones

• Torpedo: Topic periodicity discovery from text data

  Wang, J., Deng, H. & Han, J., 2015, Next-Generation Analyst III. Hanratty, T. P., Llinas, J., Broome, B. D. & Hall, D. L. (eds.). SPIE, 94990A. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9499).

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

  • torpedoes
  • Periodicity
  • Text
  • periodic variations
  • Time series

• Towards active learning on graphs: An error bound minimization approach

  Gu, Q. & Han, J., Dec 1 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 882-887 6 p. 6413838. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Problem-Based Learning
  • Experiments

• Towards faster rates and oracle property for low-rank matrix estimation

  Gui, H., Han, J. & Gu, Q., Jan 1 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3405-3431 27 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 5).

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

  • Experiments

• Towards feature selection in network

  Gu, Q. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1175-1184 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Feature Selection
  • Least Squares
  • Regularization
  • Mixed Integer Programming
  • Gradient

• Towards interactive construction of topical hierarchy: A recursive tensor decomposition approach

  Wang, C., Liu, X., Song, Y. & Han, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1225-1234 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

  • Tensors
  • Merging
  • Decomposition

• Towards mobile query auto-completion: An efficient mobile application-Aware approach

  Zhang, A., Goyal, A., Baeza-Yates, R., Chang, Y., Han, J., Gunter, C. A. & Deng, H., 2016, 25th International World Wide Web Conference, WWW 2016. International World Wide Web Conferences Steering Committee, p. 579-590 12 p. (25th International World Wide Web Conference, WWW 2016).

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

  • Mobile computing
  • Composite materials
  • Costs
  • Experiments

• Towards scalable critical alert mining

  Zong, B., Wu, Y., Song, J., Singh, A. K., Cam, H., Han, J. & Yan, X., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1057-1066 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

  • Approximation algorithms
  • Heuristic algorithms
  • Trees (mathematics)
  • Sampling
  • Set theory

• TrioVecEvent: Embedding-based online local event detection in geo-tagged tweet streams

  Zhang, C., Liu, L., Lei, D., Yuan, Q., Zhuang, H., Hanratty, T. & 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. 595-604 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

  • Disasters
  • Crime
  • Crowdsourcing
  • Semantics
  • Monitoring

• Trust analysis with clustering

  Gupta, M., Sun, Y. & Han, J., Apr 29 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 53-54 2 p. (Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011).

  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

  • 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

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

  Yu, X., Sun, Y., Norick, B., Mao, T. & Han, J., Dec 19 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

  • Semantics
  • Experiments

• 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

• 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

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

  Sun, Y., Han, J., Aggarwal, C. C. & Chawla, N. V., Mar 15 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

  • Heterogeneous networks
  • Electric network analysis
  • 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

  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

• Tweet ranking based on heterogeneous networks

  Huang, H., Zubiaga, A., Ji, H., Deng, H., Wang, D., Le, H., Abdelzaher, T., Han, J., Leung, A., Hancock, J. & Voss, C., Dec 1 2012, p. 1239-1256. 18 p.

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

  • Heterogeneous networks
  • Ranking
  • ranking
  • genre
  • Linkage
• 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