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• 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

• 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

• A Data-Driven Graph Generative Model for Temporal Interaction Networks

  Zhou, D., Zheng, L., Han, J. & He, 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. 401-411 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

  • Discriminators
  • Social sciences
  • Anomaly detection
  • Sampling

• 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

• 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 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, p. 16 1 p.

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

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

• 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 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

• AMETHYST: A system for mining and exploring topical hierarchies of heterogeneous data

  Danilevsky, M., Wang, C., Tao, F., Nguyen, S., Chen, G., Desai, N., Wang, L. & 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. 1458-1461 4 p. 2487716. (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

  • Ontology

• A multi-graph spectral framework for mining multi-source anomalies

  Gao, J., Du, N., Fan, W., Turaga, D., Parthasarathy, S. & Han, J., Jan 1 2013, Graph Embedding for Pattern Analysis. Springer New York, p. 205-227 23 p.

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

  • Anomaly detection
  • Intrusion detection
  • Explosions
  • Health
  • Monitoring

• An attention-based collaboration framework for multi-view network representation learning

  Meng, Q., Tang, J., Shang, J., Ren, X., Zhang, M. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1767-1776 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Node
  • Proximity
  • Voting
  • Vote

• An exploration of discussion threads in social news sites: A case study of the Reddit community

  Weninger, T., Zhu, X. A. & Han, J., 2013, Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, p. 579-583 5 p. (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

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

  • Websites
  • Agglomeration

• 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

• A phrase mining framework for recursive construction of a topical hierarchy

  Wang, C., Danilevsky, M., Desai, N., Zhang, Y., Nguyen, P., Taula, T. & 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. 437-445 9 p. 2487631. (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

  • Experiments

• 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

• A spherical hidden Markov model for semantics-rich human mobility modeling

  Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 4613-4620 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Hidden Markov models
  • Semantics
  • Bessel functions
  • Newton-Raphson method
  • Global positioning system

• Assembler: Efficient discovery of spatial co-evolving patterns in massive geo-sensory data

  Zhang, C., Zheng, Y., Ma, X. & 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. 1415-1424 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

  • Sensors
  • Wavelet transforms
  • Time series
  • Experiments

• A survey of datamining methods for sensor network bug diagnosis

  Abdelzaher, T. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer US, Vol. 9781461463092. p. 429-458 30 p.

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

  • Sensor networks
  • Data mining

• A survey of RFID data processing

  Aggarwal, C. C. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer US, Vol. 9781461463092. p. 349-382 34 p.

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

  • Radio frequency identification (RFID)
  • Information management
  • Logistics
  • Sensors
  • Costs

• A text cube approach to human, social and cultural behavior in the Twitter stream

  Liu, X., Tang, K., Hancock, J., Han, J., Song, M., Xu, R. & Pokorny, B., Mar 14 2013, Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings. p. 321-330 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7812 LNCS).

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

  • Social Behavior
  • Human Behavior
  • Regular hexahedron
  • Text
  • Opacity

• A unifying framework of mining trajectory patterns of various temporal tightness

  Lee, J. G., Han, J. & Li, X., Jun 1 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 6, p. 1478-1490 13 p., 6977963.

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

  • Trajectories

• AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

  Dong, X. L., He, X., Kan, A., Li, X., Liang, Y., Ma, J., Xu, Y. E., Zhang, C., Zhao, T., Blanco Saldana, G., Deshpande, S., Michetti Manduca, A., Ren, J., Singh, S. P., Xiao, F., Chang, H. S., Karamanolakis, G., Mao, Y., Wang, Y., Faloutsos, C. & 2 others, McCallum, A. & 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. 2724-2734 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

  Open Access

  • Anomaly detection
  • Taxonomies

• Automated Phrase Mining from Massive Text Corpora

  Shang, J., Liu, J., Jiang, M., Ren, X., Voss, C. R. & Han, J., Oct 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 10, p. 1825-1837 13 p., 8306825.

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

  • Text processing
  • Taxonomies
  • Labeling
  • Linguistics

• Automatic entity recognition and typing from massive text corpora: A phrase and network mining approach

  Ren, X., El-Kishky, A., Wang, C. & 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. 2319-2320 2 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

  • Knowledge management
  • Labels
  • Data mining

• Automatic synonym discovery with knowledge bases

  Qu, M., Ren, X. & 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. 997-1005 9 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

  • Fruits
  • Learning systems
  • Supervised learning
  • Data mining
  • Statistics

• 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

• Bridging collaborative filtering and semi-supervised learning: A neural approach for POI recommendation

  Yang, C., Bai, L., Zhang, C., Yuan, Q. & 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. 1245-1254 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

  • Collaborative filtering
  • Supervised learning
  • Recommender systems
  • Factorization
  • Industry

• Bringing semantics to spatiotemporal data mining: Challenges, methods, and applications

  Zhang, C., Yuan, Q. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 1455-1458 4 p. 7930108. (Proceedings - International Conference on Data Engineering).

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

  • Data mining
  • Semantics
  • Global positioning system
  • Mobile computing

• Building structured databases of factual knowledge from massive text corpora

  Ren, X., Jiang, M., Shang, J. & Han, J., May 9 2017, SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data. Association for Computing Machinery, p. 1741-1745 5 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. Part F127746).

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

  • Data mining
  • Industry

• ClaimVerif: A real-time claim verification system using the web and fact databases

  Zhi, S., Sun, Y., Liu, J., Zhang, C. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2555-2558 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Data Base
  • Credibility
  • Source Credibility
  • Empirical Evaluation
  • Rumor

• Classification and adaptive novel class detection of feature-evolving data streams

  Masud, M. M., Chen, Q., Khan, L., Aggarwal, C. C., Gao, J., Han, J., Srivastava, A. & Oza, N. C., Jun 3 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 7, p. 1484-1497 14 p., 6205751.

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

  • Data mining
  • Detectors
  • Classifiers

• Classification with active learning and meta-paths in heterogeneous information networks

  Wan, C., Li, X., Kao, B., Yu, X., Gu, Q., Cheung, D. & Han, J., Oct 17 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 443-452 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

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

  • Active Learning
  • Information Networks
  • Classifier
  • Synergy

• Clustered support vector machines

  Gu, Q. & Han, J., Jan 1 2013, In: Journal of Machine Learning Research. 31, p. 307-315 9 p.

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

  • Support Vector Machine
  • Support vector machines
  • kernel
  • Classifier
  • Regularization

• ClusType: Effective entity recognition and typing by relation phrase-based clustering

  Ren, X., El-Kishky, A., Wang, C., Tao, F., Voss, C. R., Ji, H. & 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. 995-1004 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

  • Experiments

• Collective Multi-type Entity Alignment between Knowledge Graphs

  Zhu, Q., Wei, H., Sisman, B., Zheng, D., Faloutsos, C., Dong, X. L. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2241-2252 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

  • Deep learning
  • Agglomeration
  • Sampling
  • Neural networks
  • Experiments

• Community distribution outlier detection in heterogeneous information networks

  Gupta, M., Gao, J. & Han, J., Oct 31 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 1 ed. p. 557-573 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8188 LNAI, no. PART 1).

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

  • Outlier Detection
  • Anomaly detection
  • Heterogeneous networks
  • Community
  • Outlier

• Comparative document analysis for large text corpora

  Ren, X., Lv, Y., Wang, K. & Han, J., Feb 2 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 325-334 10 p. (WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining).

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

  • Semantics
  • Scalability
  • Set theory
  • Experiments

• Constrained information-theoretic tripartite graph clustering to identify semantically similar relations

  Wang, C., Song, Y., Roth, D., Wang, C., Han, J., Ji, H. & Zhang, M., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3882-3889 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

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

  • Supervised learning
  • Information retrieval
  • Clustering algorithms

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Liu, J., Desai, N., Danilevsky, M. & Han, J., Sep 17 2015, In: Knowledge and Information Systems. 44, 3, p. 529-558 30 p.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Danilevsky, M., Liu, J., Desai, N., Ji, H. & Han, J., 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 767-776 10 p., 6729561.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• Construction of structured heterogeneous networks from massive text data

  Han, J., May 14 2017, Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, NDA 2017. Roy, S., Bhattacharya, A. & Arora, A. (eds.). Association for Computing Machinery, Inc, 1. (Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, NDA 2017).

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

  • Data Analytics
  • Heterogeneous networks
  • Big data

• Content coverage maximization on word networks for hierarchical topic summarization

  Wang, C., Yu, X., Li, Y., Zhai, C. & Han, J., Dec 11 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 249-258 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Summarization
  • Text Summarization
  • Modeling
  • Network Analysis
  • Random Walk

• Context-Aware entity morph decoding

  Zhang, B., Huang, H., Pan, X., Li, S., Lin, C. Y., Ji, H., Knight, K., Wen, Z., Sun, Y., Han, J. & Yener, B., Jan 1 2015, ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 586-595 10 p. (ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference; vol. 1).

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

  Open Access

  • Deep learning
  • Decoding
  • Communication

• CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

  Huang, J., Xie, Y., Meng, Y., Zhang, Y. & 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. 1928-1936 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
  • Seed
  • Semantics
  • Knowledge representation

• CoType: Joint extraction of typed entities and relations with knowledge bases

  Ren, X., Wu, Z., He, W., Qu, M., Voss, C. R., Ji, H., Abdelzaher, T. F. & Han, J., Jan 1 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 1015-1024 10 p. 3052708. (26th International World Wide Web Conference, WWW 2017).

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

  • Labels
  • Pipelines
  • Labeling
  • Experiments

• CrossWeigh: Training named entity tagger from imperfect annotations

  Wang, Z., Shang, J., Liu, L., Lu, L., Liu, J. & Han, J., 2020, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 5154-5163 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

  • Labels
  • Experiments

• Curriculum learning for heterogeneous star network embedding via deep reinforcement learning

  Qu, M., Tang, J. & Han, J., Feb 2 2018, WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 468-476 9 p. (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining; vol. 2018-Febuary).

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

  • Curricula
  • Reinforcement learning
  • Stars

• Debiasing crowdsourced batches

  Zhuang, H., Parameswaran, A. G., Roth, D. & 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. 1593-1602 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

  • Labels
  • Crowdsourcing
  • Costs

• Deep multiplex graph infomax: Attentive multiplex network embedding using global information

  Park, C., Han, J. & Yu, H., Jun 7 2020, In: Knowledge-Based Systems. 197, 105861.

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

  • Discriminators
  • Graph
  • Labels
  • Node
  • Experiments

• Detecting multiple periods and periodic patterns in event time sequences

  Yuan, Q., Shang, J., Cao, X., Zhang, C., Geng, X. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 617-626 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Anomaly Detection
  • Periodicity
  • Scoring
  • Heuristic Algorithm
  • NP-hard