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• Conference contribution

  Correlated multi-label feature selection

  Gu, Q., Li, Z. & Han, J., Dec 13 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 1087-1096 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Feature Selection
  • Cutting Planes
  • Learning Methods
  • Classifier
  • Minimax

• 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

• 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

• 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

• Demo: Distilling likely truth from noisy streaming data with Apollo

  Le, H., Wang, D., Ahmadi, H., Uddin, Y. S., Szymanski, B., Ganti, R., Abdelzaher, T., Fatemieh, O., Wang, H., Pasternack, J., Han, J., Roth, D., Adali, S. & Lei, H., Dec 19 2011, SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. p. 417-418 2 p. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

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

  • Demonstrations
  • Military applications
  • Sensors
  • Disasters

• 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

• Detecting recurring and novel classes in concept-drifting data streams

  Masud, M. M., Al-Khateeb, T. M., Khan, L., Aggarwal, C., Gao, J., Han, J. & Thuraisingham, B., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 1176-1181 6 p. 6137334. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Labeling
  • Data storage equipment

• 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

• Differentially private data cubes: Optimizing noise sources and consistency

  Ding, B., Winslett, M., Han, J. & Li, Z., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 217-228 12 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Wages
  • Polynomials

• Discovering hypernymy in text-rich heterogeneous information network by exploiting context granularity

  Shi, Y., Shen, J., Li, Y., Zhang, N., He, X., Lou, Z., Zhu, Q., Walker, M., Kim, M. & Han, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 599-608 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Information Networks
  • Quality Signal
  • Graph
  • Supervision
  • Taxonomy

• 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

• Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion

  Wang, X., Zhang, Y., Li, Q., Ren, X., Shang, J. & Han, J., Nov 2019, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. Yoo, I., Bi, J. & Hu, X. T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 496-503 8 p. 8983212. (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).

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

  • Named Entity Recognition
  • Dictionary
  • Glossaries
  • Human
  • Corpus

• 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

• Diversified trajectory pattern ranking in geo-tagged social media

  Yin, Z., Cao, L., Han, J., Luo, J. & Huang, T., Jan 1 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Society for Industrial and Applied Mathematics Publications, p. 980-991 12 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

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

  • Trajectories
  • Websites

• 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

• DustDoctor: A self-healing sensor data collection system

  Khan, M. M. H., Ahmadi, H., Dogan, G., Govindan, K., Ganti, R., Brown, T., Han, J., Mohapatra, P. & Abdelzaher, T., Jun 23 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11. p. 127-128 2 p. 5779078. (Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11).

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

  • Flow graphs
  • Critical infrastructures
  • Sensor data fusion
  • Data fusion
  • Sensors

• Dynamic social influence analysis through time-dependent factor graphs

  Wang, C., Tang, J., Sun, J. & Han, J., 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 239-246 8 p. 5992608. (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011).

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

  • Industry
  • Experiments

• 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 mining of top correlated patterns based on null-invariant measures

  Kim, S., Barsky, M. & Han, J., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. PART 2 ed. p. 177-192 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6912 LNAI, no. PART 2).

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

  • Mining
  • Invariant Measure
  • Null
  • Large dataset
  • Association rules

• Efficient topological OLAP on information networks

  Qu, Q., Zhu, F., Yan, X., Han, J., Yu, P. S. & Li, H., 2011, Database Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings. PART 1 ed. p. 389-403 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6587 LNCS, no. PART 1).

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

  • Online Analytical Processing
  • Query processing
  • Query Processing
  • Framework
  • Computational Techniques

• 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

• 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 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

• 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

• Evolutionary clustering and analysis of bibliographic networks

  Gupta, M., Aggarwal, C. C., Han, J. & Sun, Y., Sep 19 2011, Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. p. 63-70 8 p. 5992586. (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

• 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

• Exposing complex bug-triggering conditions in distributed systems via graph mining

  Seo, E., Khan, M. M. H., Mohapatra, P., Han, J. & Abdelzaher, T., 2011, Proceedings - 2011 International Conference on Parallel Processing, ICPP 2011. p. 186-195 10 p. 6047187. (Proceedings of the International Conference on Parallel Processing).

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

  • Graph Mining
  • Distributed Systems
  • Hazards and race conditions
  • Scalability
  • Debugging

• Extracting general lists from web documents: A hybrid approach

  Fumarola, F., Weninger, T., Barber, R., Malerba, D. & Han, J., Jul 25 2011, Modern Approaches in Applied Intelligence - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Proceedings. PART 1 ed. p. 285-294 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6703 LNAI, no. PART 1).

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

  • Hybrid Approach
  • Websites
  • Vision
  • HTML
  • Corpus

• 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

• FAST sequence mining based on sparse id-lists

  Salvemini, E., Fumarola, F., Malerba, D. & Han, J., Jul 14 2011, Foundations of Intelligent Systems - 19th International Symposium, ISMIS 2011, Proceedings. p. 316-325 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6804 LNAI).

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

  • Sequential Patterns
  • Mining
  • Large dataset
  • Medicine
  • World Wide Web

• Finding top-k shortest path distance changes in an evolutionary network

  Gupta, M., Aggarwal, C. C. & Han, J., Sep 19 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. p. 130-148 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6849 LNCS).

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

  • Shortest path
  • Snapshot
  • Graph in graph theory
  • Structural properties
  • 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

• 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

• GeoAttn: Localization of social media messages via attentional memory network

  Li, S., Zhang, C., Lei, D., Li, J. & Han, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 64-72 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  Open Access

  • Data storage equipment
  • mHealth
  • Metadata
  • Experiments