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• 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

• 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

• 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

• Detection of complexes in biological networks through diversified dense subgraph mining

  Ma, X., Zhou, G., Shang, J., Wang, J., Peng, J. & Han, J., Sep 2017, In: Journal of Computational Biology. 24, 9, p. 923-941 19 p.

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

  • Biological Networks
  • Mining
  • Protein
  • Protein Interaction Networks
  • Proteins

• Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding

  Yang, C., Zhang, C., Chen, X., Ye, J. & Han, J., Oct 24 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1404-1413 10 p. 8509379. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

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

  • Taxicabs
  • Heterogeneous networks
  • Information Networks
  • User Experience
  • Modeling

• Discriminative Topic Mining via Category-Name Guided Text Embedding

  Meng, Y., Huang, J., Wang, G., Wang, Z., Zhang, C., 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. 2121-2132 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

  • Experiments

• Distant meta-path similarities for text-based heterogeneous information networks

  Wang, C., Song, Y., Li, H., Sun, Y., 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. 1629-1638 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Information Networks
  • Proximity
  • Semantic Network
  • Similarity Measure
  • Intuition

• Doc2Cube: Allocating Documents to Text Cube Without Labeled Data

  Tao, F., Zhang, C., Chen, X., Jiang, M., Hanratty, T., Kaplan, L. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1260-1265 6 p. 8594978. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Labels
  • Competitive intelligence
  • Semantics
  • Experiments

• 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

• DPPred: An Effective Prediction Framework with Concise Discriminative Patterns

  Shang, J., Jiang, M., Tong, W., Xiao, J., Peng, J. & Han, J., Jul 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 7, p. 1226-1239 14 p.

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

  • 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

• Dynamic Truth Discovery on Numerical Data

  Zhi, S., Yang, F., Zhu, Z., Li, Q., Wang, Z. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 817-826 10 p. 8594906. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Data handling
  • Experiments

• Easing embedding learning by comprehensive transcription of heterogeneous information networks

  Shi, Y., Zhu, Q., Guo, F., Zhang, C. & 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. 2190-2199 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

  • Transcription
  • Experiments
  • Semantics

• Efficient contextualized representation: Language model pruning for sequence labeling

  Liu, L., Ren, X., Shang, J., Gu, X., Peng, J. & Han, J., 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. 1215-1225 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

  • Labeling
  • Linguistics

• 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

• Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis

  Meng, Y., Huang, J. & 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. 3573-3574 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

  • Text processing
  • Taxonomies
  • Data mining
  • Economics

• Embedding learning with events in heterogeneous information networks

  Gui, H., Liu, J., Tao, F., Jiang, M., Norick, B., Kaplan, L. & Han, J., Nov 2017, In: IEEE Transactions on Knowledge and Data Engineering. 29, 11, p. 2428-2441 14 p., 7997782.

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

  • Semantics
  • Experiments

• Empower sequence labeling with task-aware neural language model

  Liu, L., Shang, J., Ren, X., Xu, F. F., Gui, H., Peng, J. & Han, J., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 5253-5260 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Labeling
  • Linguistics
  • Graphics processing unit
  • Neural networks
  • Experiments

• End-to-end reinforcement learning for automatic taxonomy induction

  Mao, Y., Ren, X., Shen, J., Gu, X. & Han, J., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 2462-2472 11 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

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

  Open Access

  • Taxonomies
  • Reinforcement learning
  • Experiments

• 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

• Entity linking with a knowledge base: Issues, techniques, and solutions

  Shen, W., Wang, J. & Han, J., Feb 1 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 2, p. 443-460 18 p., 6823700.

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

  • Information retrieval

• Entity set search of scientific literature: An unsupervised ranking approach

  Shen, J., Xiao, J., He, X., Shang, J., Sinha, S. & Han, J., Jun 27 2018, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery, Inc, p. 565-574 10 p. (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).

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

  • Genomics
  • Agglomeration
  • Semantics
  • Set theory
  • Experiments

• EPeriodicity: Mining event periodicity from incomplete observations

  Li, Z., Wang, J. & Han, J., May 1 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 5, p. 1219-1232 14 p., 6940249.

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

  • Global positioning system
  • Data mining
  • Uncertainty
  • Sensors
  • Experiments

• EventCube: Multi-dimensional search and mining of structured and text data

  Tao, F., Lei, K. H., Han, J., Zhai, C. X., Cheng, X., Danilevsky, M., Desai, N., Ding, B., Ge, J., Ji, H., Kanade, R., Kao, A., Li, Q., Li, Y., Lin, C. X., Liu, J., Oza, N., Srivastava, A., Tjoelker, R., Wang, C. & 2 others, Zhang, D. & Zhao, B., 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. 1494-1497 4 p. 2487718. (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

  • Aviation
  • Data mining
  • Specifications

• Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks

  Deng, H., Han, J., Li, H., Ji, H., Wang, H. & Lu, Y., Jan 1 2013, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013. Parthasarathy, S., Ghosh, J., Zhou, Z-H., Dy, J., Obradovic, Z. & Kamath, C. (eds.). Siam Society, p. 378-386 9 p. (Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013).

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

  • Sentiment Analysis
  • Heterogeneous Networks
  • Sentiment analysis
  • Heterogeneous networks
  • Dissimilarity

• Exploring structure and content on the web: Extraction and integration of the semi-structured web

  Weninger, T. & Han, J., 2013, WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining. p. 779-780 2 p.

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

  • World Wide Web
  • Websites
  • Fruits
  • Search engines

• 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

• FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation

  Ma, F., Li, Y., Li, Q., Qiu, M., Gao, J., Zhi, S., Su, L., Zhao, B., 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. 745-754 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

  • Agglomeration
  • Statistical Models

• 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

• Fast inbound top-k query for random walk with restart

  Zhang, C., Jiang, S., Chen, Y., Sun, Y. & Han, J., 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. 608-624 17 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

  • Restart
  • Query
  • Random walk
  • Ripple
  • Vertex of a graph

• Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

  Wang, X., Song, X., Li, B., Zhou, K., Li, Q. & Han, J., Dec 16 2020, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. Park, T., Cho, Y-R., Hu, X. T., Yoo, I., Woo, H. G., Wang, J., Facelli, J., Nam, S. & Kang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 491-494 4 p. 9313126. (Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020).

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

  Open Access

  • Named Entity Recognition
  • Coronavirus
  • Supervision
  • Glossaries
  • Datasets

• 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

• Generalized decision aggregation in distributed sensing systems

  Su, L., Li, Q., Hu, S., Wang, S., Gao, J., Liu, H., Abdelzaher, T. F., Han, J., Liu, X., Gao, Y. & Kaplan, L., Jan 14 2015, Proceedings - IEEE 35th Real-Time Systems Symposium, RTSS 2014. January ed. Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p. 7010369. (Proceedings - Real-Time Systems Symposium; vol. 2015-January, no. January).

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

  • Sensor nodes
  • Agglomeration
  • Labels
  • Sensors
  • Decision making

• Generating Representative Headlines for News Stories

  Gu, X., Mao, Y., Han, J., Liu, J., Wu, Y., Yu, C., Finnie, D., Yu, H., Zhai, J. & Zukoski, N., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 1773-1784 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

  • Labels
  • Redundancy

• 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

• 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

• 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 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

• 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