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• A hierarchical Dirichlet model for taxonomy expansion for search engines

  Wang, J., Kang, C., Chang, Y. & Han, J., Apr 7 2014, WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 961-970 10 p. (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web).

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

  • Taxonomies
  • Search engines
  • Navigation systems
  • World Wide Web
  • Industry

• A graph-based consensus maximization approach for combining multiple supervised and unsupervised models

  Gao, J., Liang, F., Fan, W., Sun, Y. & Han, J., Jan 1 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 1, p. 15-28 14 p., 6035707.

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

  • Labeling
  • Labels
  • Set theory
  • Costs

• A general framework for efficient clustering of large datasets based on activity detection

  Jin, X., Kim, S., Han, J., Cao, L. & Yin, Z., Feb 2011, In: Statistical Analysis and Data Mining. 4, 1, p. 11-29 19 p.

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

  • Large Data Sets
  • Large dataset
  • Clustering
  • Framework
  • K-means

• A framework of traveling companion discovery on trajectory data streams

  Tang, L. A., Zheng, Y., Yuan, J., Han, J., Leung, A., Peng, W. C. & Porta, T. L., Dec 1 2013, In: ACM Transactions on Intelligent Systems and Technology. 5, 1, 2542185.

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

  • Data Streams
  • Trajectory
  • Trajectories
  • Object
  • Framework

• A framework of mining trajectories from untrustworthy data in cyber-physical system

  Tang, L. A., Yu, X., Gu, Q., Han, J., Jiang, G., Leung, A. & La Porta, T., Feb 1 2015, In: ACM Transactions on Knowledge Discovery from Data. 9, 3, 1 p.

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

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

• 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 feature-enhanced ranking-based classifier for multimodal data and heterogeneous information networks

  Chen, S. D., Chen, Y. Y., Han, J. & Moulin, P., Dec 1 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 997-1002 6 p., 6729588.

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

  • Classifiers
  • Support vector machines

• A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer

  Prostate Cancer DREAM Challenge Community, 2017, In: JCO Clinical Cancer Informatics. 2017, 1, p. 1-15 15 p.

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

  Open Access

  • Docetaxel
  • Castration
  • Prostatic Neoplasms
  • Clinical Trials
  • Phase III Clinical Trials

• AdaQAC: Adaptive query auto-completion via implicit negative feedback

  Zhang, A., Goyal, A., Kong, W., Deng, H., Dong, A., Chang, Y., Gunter, C. A. & Han, J., Aug 9 2015, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 143-152 10 p. (SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Feedback
  • Chemical analysis
  • Experiments

• 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

• Active learning: A survey

  Aggarwal, C. C., Kong, X., Gu, Q., Han, J. & Yu, P. S., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 571-605 35 p.

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

  • Active Learning
  • Problem-Based Learning
  • Node
  • Labels
  • Social Networks

• A confidence-aware approach for truth discovery on long-tail data

  Li, Q., Li, Y., Gao, J., Su, L., Zhao, B., Demirbas, M., Fan, W. & Han, J., Dec 2014, In: Proceedings of the VLDB Endowment. 8, 4, p. 425-436 12 p.

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

  • Experiments

• A bayesian approach to discovering truth from conflicting sources for data integration

  Zhao, B., Rubinstein, B. I. P., Gemmell, J. & Han, J., Feb 2012, In: Proceedings of the VLDB Endowment. 5, 6, p. 550-561 12 p.

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

  • Data integration
  • Sampling
  • Experiments