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• 2015

  On integrating network and community discovery

  Liu, J., Aggarwal, C. & Han, J., Feb 2 2015, WSDM 2015 - Proceedings of the 8th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 117-126 10 p. (WSDM 2015 - Proceedings of the 8th ACM International Conference on Web Search and Data Mining).

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

  • Costs

• On the discovery of evolving truth

  Li, Y., Li, Q., Gao, J., Su, L., Zhao, B., Fan, W. & 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. 675-684 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

  • Big data
  • Experiments

• 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

• 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

• 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., Jan 1 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 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

• Truth discovery and crowdsourcing aggregation: A unified perspective

  Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., Jan 1 2015, Proceedings of the VLDB Endowment. 12 ed. Association for Computing Machinery, p. 2048-2049 2 p. (Proceedings of the VLDB Endowment; vol. 8, no. 12).

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

  • Crowdsourcing
  • Agglomeration
  • Big data
  • Websites
  • Data acquisition
• 2016

  AFET: Automatic fine-grained entity typing by hierarchical partial-label embedding

  Ren, X., He, W., Qu, M., Huang, L., Ji, H. & Han, J., 2016, EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1369-1378 10 p. (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

  Open Access

  • Labels
  • Experiments

• A probabilistic approach to detect mixed periodic patterns from moving object data

  Li, J., Wang, J., Zhang, J., Qin, Q., Jindal, T. & Han, J., Oct 1 2016, In: GeoInformatica. 20, 4, p. 715-739 25 p.

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

  • periodicity
  • candidacy
  • filter
  • world
  • detection method

• Automatic entity recognition and typing in massive text data

  Ren, X., El-Kishky, A., Ji, H. & Han, J., Jun 26 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, p. 2235-2239 5 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 26-June-2016).

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

  • Knowledge management
  • Labels
  • Data mining

• CatchTartan: Representing and summarizing dynamic multicontextual behaviors

  Jiang, M., Faloutsos, C. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 945-954 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Costs

• Collaborative multi-level embedding learning from reviews for rating prediction

  Wei, Z., Yuan, Q., Han, J. & Jianyong, W., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2986-2992 7 p.

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

  • Factorization

• Community cores: Removing size bias from community detection

  Jones, I., Wang, R., Han, J. & Liu, H., Jan 1 2016, Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016. AAAI Press, p. 603-606 4 p. (Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016).

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

• Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery

  Li, Y., Li, Q., Gao, J., Su, L., Zhao, B., Fan, W. & Han, J., Aug 1 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 8, p. 1986-1999 14 p., 7460925.

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

  • Data structures
  • Experiments

• Data-driven contextual valence shifter quantification for multi-theme sentiment analysis

  Yu, H., Shang, J., Hsu, M., Castellanos, M. & Han, J., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 939-948 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

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

  • Sentiment Analysis
  • Valence
  • Quantification
  • Sentiment
  • Sentiment Classification

• Downside management in recommender systems

  Gui, H., Liu, H., Meng, X., Bhasin, A. & Han, J., Nov 21 2016, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Kumar, R., Caverlee, J. & Tong, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 394-401 8 p. 7752264. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

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

  • Recommender systems
  • management
  • Cost benefit analysis
  • Costs
  • cost-benefit analysis

• DPClass: An effective but concise discriminative patterns-based classification framework

  Shang, J., Tong, W., 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. 567-575 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

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

  Open Access

  • Experiments

• DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival

  Xiao, J., Wang, S., Shang, J., Lin, H., Xin, D., Ren, X., Han, J. & Peng, J., 2016, In: F1000Research. 5, 2806.

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

  • Proportional Hazards Models
  • Prostatic Neoplasms
  • Survival
  • Datasets
  • Likelihood Functions

• Efficient direct mining of selective discriminative patterns for classification

  Cheng, H., Han, J., Yan, X. & Yu, P. S., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. 39-58 20 p.

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

• EKNOT: Event Knowledge from news and opinions in twitter

  Li, M., Wang, J., Tong, W., Yu, H., Ma, X., Chen, Y., Cai, H. & Han, J., Jan 1 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI Press, p. 4367-4368 2 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

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

• Entity disambiguation with linkless knowledge bases

  Li, Y., Tan, S., Sun, H., Han, J., Roth, D. & Yan, X., 2016, 25th International World Wide Web Conference, WWW 2016. International World Wide Web Conferences Steering Committee, p. 1261-1270 10 p. (25th International World Wide Web Conference, WWW 2016).

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

  • Semantics

• FacetGist: Collective extraction of document facets in large technical corpora

  Siddiqui, T., Ren, X., Parameswaran, A. & Han, J., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 871-880 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

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

  • Graph
  • Summarization
  • Propagation
  • Business Intelligence
  • Optimization Problem

• FastHybrid: A hybrid model for efficient answer selection

  Wang, L., Tan, M. & Han, J., Jan 1 2016, COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 2378-2388 11 p. (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers).

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

  • Hybrid Model
  • Tuning
  • Deep learning
  • Information Retrieval
  • Question Answering

• 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

• From truth discovery to trustworthy opinion discovery: An uncertainty-aware quantitative modeling approach

  Wan, M., Chen, X., Kaplan, L., Han, J., Gao, J. & Zhao, B., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1885-1894 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Uncertainty
  • Anomaly detection
  • Random variables
  • Probability distributions
  • Explosions

• GeoBurst: Real-time local event detection in geo-tagged tweet streams

  Zhang, C., Zhou, G., Yuan, Q., Zhuang, H., Zheng, Y., Kaplan, L., Wang, S. & Han, J., Jul 7 2016, SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 513-522 10 p. (SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Crime
  • Disasters
  • Crowdsourcing
  • Monitoring
  • Costs

• GMove: Group-level mobility modeling using geo-tagged social media

  Zhang, C., Zhang, K., Yuan, Q., Zhang, L., Hanratty, T. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1305-1314 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Hidden Markov models
  • Urban planning
  • Global positioning system
  • Sampling
  • Scheduling

• Knowledge fragment enrichment using domain knowledge base

  Zhang, J., Zhuang, H., Song, Y., Han, J., Zhang, Y., Tang, J. & Li, J., 2016, Social Media Processing - 5th National Conference, SMP 2016, Proceedings. Lin, H., Li, Y., Xiang, G. & Wang, M. (eds.). Springer-Verlag Berlin Heidelberg, p. 274-286 13 p. (Communications in Computer and Information Science; vol. 669).

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

  • Domain Knowledge
  • Knowledge Base
  • Fragment
  • Knowledge
  • Concepts

• KnowSim: A document similarity measure on structured heterogeneous information networks

  Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1015-1020 6 p. 7373428. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

  • Semantics
  • Experiments

• Label noise reduction in entity typing by heterogeneous partial-label embedding

  Ren, X., He, W., Qu, M., Voss, C. R., Ji, H. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1825-1834 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Noise abatement
  • Labels
  • Semantics

• Learning hostname preference to enhance search relevance

  Wang, J., Kang, C., Chang, Y. & Han, J., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 3903-3909 7 p.

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

  • Electric sparks
  • Parallel algorithms

• 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 proceeding › Conference contribution

  • induction
  • Induction
  • event
  • Meaning Representation
  • Event Structures

• 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 proceeding › Conference contribution

  Open Access

  • Computational complexity
  • Genomics
  • Hamming distance
  • Time series analysis
  • DNA sequences

• 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, Inc, 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 proceeding › Conference contribution

  • Smartphone
  • Health Status
  • Data Anonymization
  • Health
  • Walking

• Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

  Wang, J., Tong, W., Yu, H., Li, M., Ma, X., Cai, H., Hanratty, T. & Han, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 429-438 10 p. 7373347. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

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

• Mining reliable information from passively and actively crowdsourced data

  Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2121-2122 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

  • Crowdsourcing
  • Agglomeration

• Modeling check-in preferences with multidimensional knowledge: A minimax entropy approach

  Wang, J., Li, M., Han, J. & Wang, X., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 297-306 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

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

  • Entropy

• On predicting social unrest using social media

  Korolov, R., Lu, D., Wang, J., Zhou, G., Bonial, C., Voss, C., Kaplan, L., Wallace, W., Han, J. & Ji, H., Nov 21 2016, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Kumar, R., Caverlee, J. & Tong, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 89-95 7 p. 7752218. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

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

  • social unrest
  • mobilization
  • social media
  • protest
  • Communication

• Recurring and novel class detection using class-based ensemble for evolving data stream

  Al-Khateeb, T., Masud, M. M., Al-Naami, K. M., Seker, S. E., Mustafa, A. M., Khan, L., Trabelsi, Z., Aggarwal, C. & Han, J., Oct 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 10, p. 2752-2764 13 p., 7350165.

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

• 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

• Text classification with heterogeneous information network kernels

  Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., Jan 1 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

• 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 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

• 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

• World knowledge as indirect supervision for document clustering

  Wang, C., Song, Y., Roth, D., Zhang, M. & Han, J., Dec 2016, In: ACM Transactions on Knowledge Discovery from Data. 11, 2, 13.

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

  • Semantics
  • Clustering algorithms
  • Experiments
  • Linguistics
  • Machine learning
• 2018

  Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach

  Xin, D., El-Kishky, A., Liao, D., Norick, B. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1350-1355 6 p. 8594993. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Problem-Based Learning
  • Labels
  • Labeling
  • Machine learning
  • Costs

• Annotating gene sets by mining large literature collections with protein networks

  Wang, S., Ma, J., Yu, M. K., Zheng, F., Huang, E. W., Han, J., Peng, J. & Ideker, T., 2018, In: Pacific Symposium on Biocomputing. 0, 212669, p. 602-613 12 p.

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

  • Proteins
  • Genes
  • Biological Ontologies
  • Natural Language Processing
  • Set theory