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• Conference contribution

  Reliability-aware dynamic feature composition for name tagging

  Lin, Y., Liu, L., Ji, H., Yu, D. & Han, J., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 165-174 10 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

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

  • Tagging
  • Chemical analysis
  • Names
  • genre
  • Word Frequency

• RelSim: Relation similarity search in schema-rich heterogeneous information networks

  Wang, C., Sun, Y., Song, Y., Han, J., Song, Y., Wang, L. & Zhang, M., 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. 621-629 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

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

  Open Access

  • Linear programming
  • Semantics
  • Experiments

• Representing documents via latent keyphrase inference

  Liu, J., Ren, X., Shang, J., Cassidy, T., Voss, C. R. & Han, J., 2016, 25th International World Wide Web Conference, WWW 2016. International World Wide Web Conferences Steering Committee, p. 1057-1067 11 p. (25th International World Wide Web Conference, WWW 2016).

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

  • Industry

• Research-insight: Providing insight on research by publication network analysis

  Tao, F., Yu, X., Lei, K. H., Brova, G., Cheng, X., Han, J., Kanade, R., Sun, Y., Wang, C., Wang, L. & Weninger, T., Jul 29 2013, SIGMOD 2013 - International Conference on Management of Data. p. 1093-1096 4 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 mining

• Resolving entity morphs in censored data

  Huang, H., Wen, Z., Yu, D., Ji, H., Sun, Y., Han, J. & Li, H., Jan 1 2013, Long Papers. Association for Computational Linguistics (ACL), p. 1083-1093 11 p. (ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).

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

  • Morph
  • censorship
  • peace
  • semantics
  • candidacy

• Retrieving k-nearest neighboring trajectories by a set of point locations

  Tang, L. A., Zheng, Y., Xie, X., Yuan, J., Yu, X. & Han, J., Sep 19 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. p. 223-241 19 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

  • Point Location
  • Set of points
  • Trajectory
  • Trajectories
  • Query

• Robust classification of information networks by consistent graph learning

  Zhi, S., Han, J. & Gu, Q., 2015, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015. Costa, V. S., Soares, C., Appice, A., Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J., Jorge, A., Rodrigues, P. P., Gama, J., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Gama, J., Appice, A., Soares, C., Jorge, A., Gama, J., Rodrigues, P. P., Costa, V. S., Soares, C. & Jorge, A. (eds.). Springer-Verlag Berlin Heidelberg, p. 752-767 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9285).

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

  • Learning
  • Graph in graph theory
  • Inconsistent
  • Regularization
  • Vertex of a graph

• SCENE: Structural conversation evolution network

  Danilevsky, M., Hailpern, J. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 29-36 8 p. 5992582. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Linguistics
  • Communication

• Selective sampling on graphs for classification

  Gu, Q., Aggarwal, C., Liu, J. & Han, J., 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. 131-139 9 p. 2487641. (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

  • Sampling
  • Labels
  • Hilbert spaces
  • Structural properties
  • Learning algorithms

• SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

  Shen, J., Wu, Z., Lei, D., Shang, J., Ren, X. & Han, J., 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Vens, C., Todorovski, L. & Hollmen, J. (eds.). Springer-Verlag Berlin Heidelberg, p. 288-304 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10534 LNAI).

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

  • Corpus
  • Feature Selection
  • Ensemble
  • Feature extraction
  • Semantics

• Signature pattern covering via local greedy algorithm and Pattern Shrink

  Kim, H., Im, S., Abdelzaher, T., Han, J., Sheridan, D. & Vasudevan, S., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 330-339 10 p. 6137237. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Labels
  • Computer hardware

• Social patterns: Community detection using behavior-generated network datasets

  Leung, A., Dron, W., Hancock, J. P., Aguirre, M., Purnell, J., Han, J., Wang, C., Srivastava, J., Mahapatra, A., Roy, A. & Scott, L., 2013, Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013. p. 82-89 8 p. 6609198. (Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013).

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

  • Weighing
  • Communication

• Spatiotemporal activity modeling under data scarcity: A graph-regularized cross-modal embedding approach

  Zhang, C., Liu, M., Liu, Z., Yang, C., Zhang, L. & Han, J., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 531-538 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Urban planning
  • Marketing

• Spatiotemporal periodical pattern mining in traffic data

  Jindal, T., Giridhar, P., Tang, L. A., Li, J. & Han, J., Sep 19 2013, 2nd International Workshop on Urban Computing, UrbComp 2013 - Held in Conjunction with KDD 2013. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  • Sensors
  • Urban planning
  • Snow
  • Highway accidents
  • Probability distributions

• STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream

  Feng, W., Zhang, C., Zhang, W., Han, J., Wang, J., Aggarwal, C. & Huang, J., May 26 2015, 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015. IEEE Computer Society, p. 1561-1572 12 p. 7113425. (Proceedings - International Conference on Data Engineering; vol. 2015-May).

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

  • Agglomeration
  • Scalability
  • Data structures
  • Experiments

• 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

• TaxoGen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering

  Zhang, C., Tao, F., Chen, X., Shen, J., Jiang, M., Sadler, B., Vanni, M. & Han, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2701-2709 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

  • Taxonomies
  • Information filtering
  • Semantics
  • Experiments

• 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

• 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 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

• 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

• TruePIE: Discovering reliable patterns in pattern-based information extraction

  Li, Q., Jiang, M., Zhang, X., Qu, M., Hanratty, T., Gao, J. & Han, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1675-1684 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

  • Seed
  • Labels
  • Statistics
  • Semantics
  • Experiments

• 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

• 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

  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., 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

• 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

• 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
• 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
• 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