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• 2019

  PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature

  Wang, X., Zhang, Y., Li, Q., Wu, C. H. & Han, J., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 540-547 8 p. 8621485. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

  • Genes
  • Knowledge Bases
  • Benchmarking
  • Biological Phenomena
  • Datasets

• Place deduplication with embeddings

  Yang, C., Mikolov, T., Hoang, D. H. & Han, J., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 3420-3426 7 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

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

  Open Access

  • Pipelines

• Query-specific knowledge summarization with entity evolutionary networks

  Yang, C., Gan, L., Wang, Z., Shen, J., Xiao, J. & Han, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2121-2124 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Summarization
  • Query
  • Evolutionary
  • Computer Vision
  • Graphical Models

• Similarity modeling on heterogeneous networks via automatic path discovery

  Yang, C., Liu, M., He, F., Zhang, X., Peng, J. & Han, J., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Berlingerio, M., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Springer-Verlag Berlin Heidelberg, p. 37-54 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

  • Heterogeneous Networks
  • Heterogeneous networks
  • Similarity
  • Reinforcement learning
  • Path

• Spherical text embedding

  Meng, Y., Huang, J., Wang, G., Zhang, C., Zhuang, H., Kaplan, L. & Han, J., 2019, In: Advances in Neural Information Processing Systems. 32

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

• STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks

  Yao, S., Piao, A., Jiang, W., Zhao, Y., Shao, H., Liu, S., Liu, D., Li, J., Wang, T., Hu, S., Su, L., Han, J. & Abdelzaher, T., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 2192-2202 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

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

  • Internet of things
  • Physics
  • Neural networks
  • Deep neural networks
  • Deep learning

• Task-guided pair embedding in heterogeneous network

  Park, C., Kim, D., Zhu, Q., Han, J. & Yu, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 489-498 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Node
  • Modeling
  • Classifier
  • Guidance
  • Experiment

• Weakly-supervised hierarchical text classification

  Meng, Y., Shen, J., Zhang, C. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 6826-6833 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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

  • Deep neural networks
  • Experiments
• 2017

  A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer

  Prostate Cancer DREAM Challenge Community, 2017, In: JCO Clinical Cancer Informatics. 2017, 1, p. 1-15 15 p.

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

  Open Access

  • Docetaxel
  • Castration
  • Prostatic Neoplasms
  • Clinical Trials
  • Phase III Clinical Trials

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

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

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

  • Node
  • Proximity
  • Voting
  • Vote

• Automatic synonym discovery with knowledge bases

  Qu, M., Ren, X. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 997-1005 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

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

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

  Yang, C., Bai, L., Zhang, C., Yuan, Q. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1245-1254 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

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

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

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

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

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

• Building structured databases of factual knowledge from massive text corpora

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

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

  • Data mining
  • Industry

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

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

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

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

• Comparative document analysis for large text corpora

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

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

  • Semantics
  • Scalability
  • Set theory
  • Experiments

• Construction of structured heterogeneous networks from massive text data

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

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

  • Data Analytics
  • Heterogeneous networks
  • Big data

• 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

• 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

• 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

• 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

• 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

  • Labels

• 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

  • Semantics
  • Screening
  • Health
  • Experiments

• 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

• 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

• 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

• Life-iNet: A structured network-based knowledge exploration and analytics system for life sciences

  Ren, X., Shen, J., Qu, M., Wang, X., Wu, Z., Zhu, Q., Jiang, M., Tao, F., Sinha, S., Liem, D., Ping, P., Weinshilboum, R. & Han, J., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations. Association for Computational Linguistics (ACL), p. 55-60 6 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations).

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

  • Life Sciences
  • life sciences
  • Search engines
  • search engine
  • Tar

• Link prediction across aligned networks with sparse & low rank matrix estimation

  Zhang, J., Chen, J., Zhi, S., Chang, Y., Yu, P. S. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 971-982 12 p. 7930040. (Proceedings - International Conference on Data Engineering).

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

  • Experiments

• MetaPAD: Meta pattern discovery from massive text corpora

  Jiang, M., Shang, J., Cassidy, T., Ren, X., Kaplan, L. M., Hanratty, T. P. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 877-886 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Experiments

• Mining Structures from Massive Text Data: A Data-Driven Approach

  Han, J., 2017, In: CEUR Workshop Proceedings. 2029, p. 16-19 4 p.

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

  • Big data

• PRED: Periodic region detection for mobility modeling of social media users

  Yuan, Q., Zhang, W., Zhang, C., Geng, X., Cong, G. & Han, J., Feb 2 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 263-272 10 p. (WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining).

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

  • Geographical regions
  • Anomaly detection
  • Availability
  • Sampling

• PReP: Path-based relevance from a probabilistic perspective in heterogeneous information networks

  Shi, Y., Chan, P. W., Zhuang, H., Gui, H. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 425-434 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Experiments

• React: Online multimodal embedding for recency-Aware spatiotemporal activity modeling

  Zhang, C., Zhang, K., Yuan, Q., Tao, F., Zhang, L., Hanratty, T. & Han, J., Aug 7 2017, SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 245-254 10 p. (SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Experiments

• Regions, periods, activities: Uncovering urban dynamics via cross-modal representation learning

  Zhang, C., Zhang, K., Yuan, Q., Peng, H., Zheng, Y., Hanratty, T., Wang, S. & Han, J., 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 361-370 10 p. 3052601. (26th International World Wide Web Conference, WWW 2017).

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

  • Recovery
  • Costs
  • Experiments

• SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

  Shen, J., Wu, Z., Lei, D., Shang, J., Ren, X. & Han, J., 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Vens, C., Todorovski, L. & Hollmen, J. (eds.). Springer-Verlag Berlin Heidelberg, p. 288-304 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10534 LNAI).

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

  • Corpus
  • Feature Selection
  • Ensemble
  • Feature extraction
  • Semantics

• TrioVecEvent: Embedding-based online local event detection in geo-tagged tweet streams

  Zhang, C., Liu, L., Lei, D., Yuan, Q., Zhuang, H., Hanratty, T. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 595-604 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Disasters
  • Crime
  • Crowdsourcing
  • Semantics
  • Monitoring

• Unsupervised concept categorization and extraction from scientific document titles

  Krishnan, A., Sankar, A., Zhi, S. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1339-1348 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Grammar
  • Probabilistic Model
  • Tag
  • Qualitative Analysis
  • Knowledge Base

• Urbanity: A system for interactive exploration of urban dynamics from streaming human sensing data

  Liu, M., Liu, Z., Zhang, C., Zhang, K., Yuan, Q., Hanratty, T. & Han, J., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2503-2506 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

  • Urban Dynamics
  • Modeling
  • Urban Environment
  • Query
  • Urbanization
• 2016

  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 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

• 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

• 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

• 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

• Community cores: Removing size bias from community detection

  Jones, I., Wang, R., Han, J. & Liu, H., Jan 1 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

• 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

• 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

• 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

• 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