Find Research outputs

Search results

• GeoBurst+: Effective and real-time local event detection in geo-tagged tweet streams

  Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S. & Han, J., Feb 2018, In: ACM Transactions on Intelligent Systems and Technology. 9, 3, 34.

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

  • Event Detection
  • Crowdsourcing
  • Real-time
  • Disasters
  • Monitoring

• Geo-friends recommendation in GPS-based cyber-physical social network

  Yu, X., Pan, A., Tang, L. A., Li, Z. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 361-368 8 p. 5992600. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Global positioning system
  • Random processes
  • Merging
  • Mobile computing
  • Trajectories

• Geographical topic discovery and comparison

  Yin, Z., Cao, L., Han, J., Zhai, C. & Huang, T. S., Dec 1 2011, Proceedings of the 20th International Conference on World Wide Web, WWW 2011. p. 247-256 10 p. (Proceedings of the 20th International Conference on World Wide Web, WWW 2011).

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

  • Global positioning system
  • Geographical distribution
  • Geographical regions
  • Sales
  • Websites

• gIceberg: Towards iceberg analysis in large graphs

  Li, N., Guan, Z., Ren, L., Wu, J., Han, J. & Yan, X., Aug 15 2013, ICDE 2013 - 29th International Conference on Data Engineering. p. 1021-1032 12 p. 6544894. (Proceedings - International Conference on Data Engineering).

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

  • Agglomeration
  • Scalability
  • Experiments

• GIN: A clustering model for capturing dual heterogeneity in networked data

  Liu, J., Wang, C., Gao, J., Gu, Q., Aggarwal, C., Kaplan, L. & Han, J., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 388-396 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

  Open Access

  • Set theory
  • Experiments

• 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

• Graph cube: On warehousing and OLAP multidimensional networks

  Zhao, P., Li, X., Xin, D. & Han, J., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 853-864 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Data warehouses
  • Query processing
  • Agglomeration

• Graph regularized meta-path based transductive regression in heterogeneous information network

  Wan, M., Ouyang, Y., Kaplan, L. & Han, J., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 918-926 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

  Open Access

  • Heterogeneous networks
  • Experiments

• Graph regularized nonnegative matrix factorization for data representation

  Cai, D., He, X., Han, J. & Huang, T. S., 2011, In: IEEE transactions on pattern analysis and machine intelligence. 33, 8, p. 1548-1560 13 p., 5674058.

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

  • Factorization
  • Matrix Factorization
  • Information Retrieval
  • Graph in graph theory
  • Graph Algorithms

• Growing parallel paths for entity-page discovery

  Weninger, T., Fumarola, F., Lin, C. X., Barber, R., Han, J. & Malerba, D., Apr 29 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 145-146 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

  • Websites

• Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion

  Huang, J., Xie, Y., Meng, Y., Shen, J., Zhang, Y. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2188-2198 11 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

  • Seed
  • Semantics
  • Taxonomies
  • Data mining
  • Set theory

• Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts

  Ren, X., Wang, Y., Yu, X., Yan, J., Chen, Z. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 23-32 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

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

  • Websites
  • Learning algorithms
  • Industry
  • Experiments

• Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

  Yang, C., Xiao, Y., Zhang, Y., Sun, Y. & Han, J., 2020, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.

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

  • Heterogeneous networks
  • Labels
  • Availability

• Heterogeneous supervision for relation extraction: A representation learning approach

  Liu, L., Ren, X., Zhu, Q., Gui, H., Zhi, S., Ji, H. & Han, J., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 46-56 11 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

  Open Access

  • Labels

• Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks

  Su, L., Gao, J., Yang, Y., Abdelzaher, T. F., Ding, B. & Han, J., Dec 19 2011, SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. p. 40-53 14 p. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

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

  • Data reduction
  • Wireless sensor networks
  • Sensor networks
  • Network protocols
  • Labels

• Hierarchical text classification with reinforced label assignment

  Mao, Y., Tian, J., Han, J. & Ren, X., 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. 445-455 11 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
  • Reinforcement learning
  • Macros
  • Classifiers
  • Experiments

• Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

  Meng, Y., Zhang, Y., Huang, J., Zheng, Y., Zhang, C. & 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. 1908-1917 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

  • Experiments

• HiExpan: Task-guided taxonomy construction by hierarchical tree expansion

  Shen, J., Wu, Z., Lei, D., Zhang, C., Ren, X., Vanni, M. T., Sadler, B. 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. 2180-2189 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

  • Taxonomies
  • Seed

• HiGitClass: Keyword-driven hierarchical classification of github repositories

  Zhang, Y., Xu, F. F., Li, S., Meng, Y., Wang, X., Li, Q. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 876-885 10 p. 8970799. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

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

  • Labels

• HyLiEn: A hybrid approach to general list extraction on the web

  Fumarola, F., Weninger, T., Barber, R., Malerba, D. & Han, J., 2011, Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011. p. 35-36 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

  • HTML
  • Websites

• Identifying semantically deviating outlier documents

  Zhuang, H., Wang, C., Tao, F., Kaplan, L. & Han, J., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 2748-2757 10 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

  Open Access

  • Semantics
  • Screening
  • Health
  • Experiments

• I know you'll be back: Interpretable new user clustering and churn prediction on a mobile social application

  Yang, C., Shi, X., Luo, 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. 914-922 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

  • Pipelines
  • Competitive intelligence
  • Online systems
  • Deep learning
  • Experiments

• Incorporating world knowledge to document clustering via heterogeneous information networks

  Wang, C., Song, Y., El-Kishky, A., Roth, D., Zhang, M. & 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. 1215-1224 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

  • Clustering algorithms
  • Linguistics
  • Experiments

• Indirect supervision for relation extraction using question-answer pairs

  Wu, Z., Ren, X., Xu, F. F., Li, 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. 646-654 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

  • Public relations
  • Semantics
  • Labeling
  • Feedback

• 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

• Inferring human mobility patterns from taxicab location traces

  Ganti, R., Srivatsa, M., Ranganathan, A. & Han, J., 2013, UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. p. 459-468 10 p. (UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

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

  • Taxicabs
  • Pickups
  • Urban planning
  • Graph theory
  • Hidden Markov models

• InF-VAE: A variational autoencoder framework to integrate homophily and influence in diffusion prediction

  Sankar, A., Zhang, X., Krishnan, A. & Han, J., Jan 20 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 510-518 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

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

  Open Access

  • Seed
  • Network architecture
  • Chemical activation
  • Fusion reactions
  • Neural networks

• Integrating local context and global cohesiveness for open information extraction

  Zhu, Q., Ren, X., Shang, J., Zhang, Y., El-Kishky, A. & Han, J., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 42-50 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

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

  • Statistics
  • Experiments

• Investigating rumor news using agreement-aware search

  Shang, J., Shen, J., Sun, T., Liu, X., Gruenheid, A., Korn, F., Lelkes, D., Yu, 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. 2117-2126 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Rumor
  • News
  • Key Words
  • Recurrent Neural Networks
  • Gradient

• Is objective function the silver bullet? A case study of community detection algorithms on social networks

  Yang, Y., Sun, Y., Pandit, S., Chawla, N. V. & Han, J., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 394-397 4 p. 5992630. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Heterogeneous networks

• Joint Aspect-Sentiment Analysis with Minimal User Guidance

  Zhuang, H., Guo, F., Zhang, C., Liu, L. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1241-1250 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  Open Access

  • Sentiment analysis
  • Glossaries
  • Seed
  • Joining
  • Experiments

• Joint feature selection and subspace learning

  Gu, Q., Li, Z. & Han, J., Dec 1 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 1294-1299 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Feature extraction
  • Face recognition
  • Machine learning
  • Set theory
  • Experiments

• KnowEnG: A knowledge engine for genomics

  Sinha, S., Song, J., Weinshilboum, R., Jongeneel, V. & Han, J., 2015, In: Journal of the American Medical Informatics Association. 22, 6, p. 1115-1119 5 p.

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

  • Genomics
  • Big Data
  • Datasets
  • Data Mining
  • Knowledge Bases

• 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

• Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform

  Blatti, C., Emad, A., Berry, M. J., Gatzke, L., Epstein, M., Lanier, D., Rizal, P., Ge, J., Liao, X., Sobh, O., Lambert, M., Post, C. S., Xiao, J., Groves, P., Epstein, A. T., Chen, X., Srinivasan, S., Lehnert, E., Kalari, K. R., Wang, L. & 8 others, Weinshilboum, R. M., Song, J. S., Jongeneel, C. V., Han, J., Ravaioli, U., Sobh, N., Bushell, C. B. & Sinha, S., 2020, In: PLoS biology. 18, 1, e3000583.

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

  Open Access

  • Genomics
  • engines
  • data analysis
  • Data Analysis
  • genomics

• 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

• Laplacian regularized Gaussian mixture model for data clustering

  He, X., Cai, D., Shao, Y., Bao, H. & Han, J., Jun 21 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 9, p. 1406-1418 13 p., 5677520.

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

  • Probability distributions
  • Gaussian distribution
  • Maximum likelihood
  • Statistical Models
  • Geometry

• Large-scale embedding learning in heterogeneous event data

  Gui, H., Liu, J., Tao, F., Jiang, M., Norick, B. & Han, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 907-912 6 p. 7837924. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Experiments

• Large-scale spectral clustering on graphs

  Liu, J., Wang, C., Danilevsky, M. & Han, J., Dec 1 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1486-1492 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Clustering algorithms
  • Experiments

• Learning a Kernel for multi-task clustering

  Gu, Q., Li, Z. & Han, J., Nov 2 2011, AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. p. 368-373 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

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

  • Hilbert spaces
  • Unsupervised learning
  • Linear programming
  • Experiments

• 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

• Learning named entity tagger using domain-specific dictionary

  Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., Jan 1 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 2054-2064 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

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

  • Glossaries
  • Labels
  • Labeling
  • Experiments

• Learning online discussion structures by conditional random fields

  Wang, H., Wang, C., Zhai, C. X. & Han, J., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 435-444 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Statistical Models
  • Experiments

• Learning relevance from heterogeneous social network and its application in online targeting

  Wang, C., Raina, R., Fong, D., Zhou, D., Han, J. & Badros, G., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 655-664 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Marketing
  • Internet

• Learning search tasks in queries and web pages via graph regularization

  Ji, M., Yan, J., Gu, S., Han, J., He, X., Zhang, W. V. & Chen, Z., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 55-64 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Websites
  • Search engines
  • Classifiers
  • Internet
  • Experiments

• Learning to efficiently rank on big data

  Wang, L., Lin, J., Metzler, D. & Han, J., Apr 7 2014, WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 1 p. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

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

• Leveraging pattern semantics for extracting entities in enterprises

  Tao, F., Zhao, B., Fuxman, A., Li, Y. & Han, J., May 18 2015, WWW 2015 - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 1078-1088 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

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

  • Semantics
  • Industry
  • Seed

• Leveraging periodicity in human mobility for next place prediction

  Prabhala, B., Wang, J., Deb, B., La Porta, T. & Han, J., Nov 10 2014, IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., p. 2665-2670 6 p. 6952829. (IEEE Wireless Communications and Networking Conference, WCNC).

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

  • Set theory

• Liberal entity extraction: Rapid construction of fine-grained entity typing systems

  Huang, L., May, J., Pan, X., Ji, H., Ren, X., Han, J., Zhao, L. & Hendler, J. A., Mar 2017, In: Big Data. 5, 1, p. 19-31 13 p.

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

  • Semantics
  • Knowledge representation
  • Language
  • Clustering algorithms
  • Hierarchical Clustering