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• 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

• 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

• 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 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

• 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 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

• Analysis and refinement of cross-lingual entity linking

  Cassidy, T., Ji, H., Deng, H., Zheng, J. & Han, J., 2012, Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. p. 1-12 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7488 LNCS).

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

  • Text processing
  • Linking
  • Machine Translation
  • Refinement
  • Information Extraction

• 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

• 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

• A simple algorithm for semi-supervised learning with improved generalization error bound

  Ji, M., Yang, T., Lin, B., Jin, R. & Han, J., Oct 10 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 1223-1230 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 2).

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

  • Supervised learning
  • regression
  • Eigenvalues and eigenfunctions
  • Linear regression
  • learning

• Aspect-based sentiment analysis with minimal guidance

  Zhuang, H., Hanratty, T. & Han, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 253-261 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  Open Access

  • Sentiment analysis
  • Seed
  • 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

• 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

• 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 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

• 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

• A variance minimization criterion to active learning on graphs

  Ji, M. & Han, J., 2012, In: Journal of Machine Learning Research. 22, p. 556-564 9 p.

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

  • Active Learning
  • Problem-Based Learning
  • Labels
  • Graph in graph theory
  • Gaussian Random Field

• Biomedical event extraction based on knowledge-driven tree-LSTM

  Li, D., Huang, L., Ji, H. & Han, J., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 1421-1430 10 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

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

  • Long short-term memory
  • Short-term Memory
  • knowledge
  • event
  • Knowledge representation

• BlueFinder: Estimate where a beach photo was taken

  Cao, L., Smith, J., Wen, Z., Yin, Z., Jin, X. & Han, J., May 21 2012, WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion. p. 469-470 2 p. (WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion).

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

  • Beaches
  • Iterative methods
  • Classifiers

• Building enriched web page representations using link paths

  Weninger, T., Zhai, C. & Han, J., Jul 25 2012, HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media. p. 53-62 10 p. (HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media).

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

  • Anchors
  • Websites
  • Search engines
  • World Wide Web

• 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

• Citation prediction in heterogeneous bibliographic networks

  Yu, X., Gu, Q., Zhou, M. & Han, J., Jan 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 1119-1130 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Experiments

• 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

• Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

  Sigdel, D., Kyi, V., Zhang, A., Setty, S. P., Liem, D. A., Shi, Y., Wang, X., Shen, J., Wang, W., Han, J. W. & Ping, P., Feb 23 2019, In: Journal of visualized experiments : JoVE. 144

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

  Open Access

  • Semantics
  • Publications
  • Cloud Computing
  • Data Mining
  • Biomedical Research

• 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

• Co-embedding network nodes and hierarchical labels with taxonomy based generative adversarial networks

  Yang, C., Zhang, J. & Han, J., Nov 2020, Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020. Plant, C., Wang, H., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 721-730 10 p. 9338301. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2020-November).

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

  • Taxonomies
  • Labels
  • Topology

• 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

• 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 cores: Removing size bias from community detection

  Jones, I., Wang, R., Han, J. & Liu, H., 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

• 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

• Community trend outlier detection using soft temporal pattern mining

  Gupta, M., Gao, J., Sun, Y. & Han, J., 2012, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 ed. p. 692-708 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7524 LNAI, no. PART 2).

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

  • Outlier Detection
  • Mining
  • Anomaly detection
  • Community
  • Trends

• 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

• Constructing and mining heterogeneous information networks from massive text

  Shang, J., Shen, J., Liu, L. & Han, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3191-3192 2 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

  • Data mining

• 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 web-based, service-oriented information networks: A data mining perspective (abstract)

  Han, J., Sep 6 2012, Web-Age Information Management - 13th International Conference, WAIM 2012, Proceedings. p. 17-19 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7418 LNCS).

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

  • Service-oriented
  • Web-based
  • Data Mining
  • World Wide Web
  • Data mining

• 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

• 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

• Cross-type biomedical named entity recognition with deep multi-task learning

  Wang, X., Zhang, Y., Ren, X., Zhang, Y., Zitnik, M., Shang, J., Langlotz, C. & Han, J., May 15 2019, In: Bioinformatics. 35, 10, p. 1745-1752 8 p.

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

  • Named Entity Recognition
  • Multi-task Learning
  • Recognition (Psychology)
  • Learning
  • Performance

• 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

• Cube2net: Efficient query-specific network construction with data cube organization

  Yang, C. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. Papapetrou, P., Cheng, X. & He, Q. (eds.). IEEE Computer Society, p. 1088-1089 2 p. 8955528. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2019-November).

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

  • Reinforcement learning
  • Large dataset
  • Complex networks
  • Learning algorithms
  • Pipelines

• 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