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• 2019

  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
• 2018

  Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach

  Xin, D., El-Kishky, A., Liao, D., Norick, B. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1350-1355 6 p. 8594993. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Problem-Based Learning
  • Labels
  • Labeling
  • Machine learning
  • Costs

• Annotating gene sets by mining large literature collections with protein networks

  Wang, S., Ma, J., Yu, M. K., Zheng, F., Huang, E. W., Han, J., Peng, J. & Ideker, T., 2018, In: Pacific Symposium on Biocomputing. 0, 212669, p. 602-613 12 p.

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

  • Proteins
  • Genes
  • Biological Ontologies
  • Natural Language Processing
  • Set theory

• ASPEM: Embedding learning by aspects in heterogeneous information networks

  Shi, Y., Gui, H., Zhu, Q., Kaplan, L. & Han, J., 2018, p. 144-152. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Semantics
  • Statistics
  • Experiments

• A spherical hidden Markov model for semantics-rich human mobility modeling

  Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 4613-4620 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Hidden Markov models
  • Semantics
  • Bessel functions
  • Newton-Raphson method
  • Global positioning system

• Automated Phrase Mining from Massive Text Corpora

  Shang, J., Liu, J., Jiang, M., Ren, X., Voss, C. R. & Han, J., Oct 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 10, p. 1825-1837 13 p., 8306825.

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

  • Text processing
  • Taxonomies
  • Labeling
  • Linguistics

• 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

• 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

• 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

• 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

• 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

• 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 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

• 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

• 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

• 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

• 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

• 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

• Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

  Yang, C., Feng, Y., Li, P., Shi, Y. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 657-666 10 p. 8594890. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

  • Semantics
  • Embeddings (Algorithms)
  • Graph theory
  • Supervised learning
  • Set theory

• Node, motif and subgraph: Leveraging network functional blocks through structural convolution

  Yang, C., Liu, M., Zheng, V. W. & Han, J., Oct 24 2018, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Tagarelli, A., Reddy, C. & Brandes, U. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 47-52 6 p. 8508729. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

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

  • Convolution
  • Node
  • Graph
  • Toxicity
  • Proteins

• Open Information Extraction with Global Structure Constraints

  Zhu, Q., Ren, X., Shang, J., Zhang, Y., Xu, F. F. & Han, J., Apr 23 2018, The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, p. 57-58 2 p. (The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018).

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

  Open Access

  • Statistics
  • Experiments

• Open Information Extraction with Meta-pattern Discovery in Biomedical Literature

  Wang, X., Zhang, Y., Li, Q., Chen, Y. & Han, J., Aug 15 2018, ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 291-300 10 p. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

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

  • Information Storage and Retrieval
  • Names

• Open-schema event profiling for massive news corpora

  Yuan, Q., Ren, X., He, W., Zhang, C., Geng, X., Huang, L., Ji, H., Lin, C. Y. & 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. 587-596 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Profiling
  • News
  • Induction
  • Event Detection
  • Nonparametric Model

• Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease

  Liem, D. A., Murali, S., Sigdel, D., Shi, Y., Wang, X., Shen, J., Choi, H., Caufield, J. H., Wang, W., Ping, P. & Han, J., Oct 2018, In: American Journal of Physiology - Heart and Circulatory Physiology. 315, 4, p. H910-H924

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

  • Extracellular Matrix Proteins
  • Data Analysis
  • Cardiovascular Diseases
  • Proteins
  • Extracellular Matrix

• SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks

  Shen, W., Han, J., Wang, J., Yuan, X. & Yang, Z., Feb 1 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 2, p. 353-366 14 p., 7990163.

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

  • Statistical Models

• Spatiotemporal activity modeling under data scarcity: A graph-regularized cross-modal embedding approach

  Zhang, C., Liu, M., Liu, Z., Yang, C., Zhang, L. & Han, J., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 531-538 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

  • Urban planning
  • Marketing

• TaxoGen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering

  Zhang, C., Tao, F., Chen, X., Shen, J., Jiang, M., Sadler, B., Vanni, 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. 2701-2709 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
  • Information filtering
  • Semantics
  • Experiments

• TextCube: Automated construction and multidimensional exploration

  Meng, Y., Huang, J., Shang, J. & Han, J., 2018, In: Proceedings of the VLDB Endowment. 12, 12, p. 1974-1977 4 p.

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

  • Data Science

• Towards quality aware information integration in distributed sensing systems

  Jiang, W., Miao, C., Su, L., Li, Q., Hu, S., Wang, S., Gao, J., Liu, H., Abdelzaher, T. F., Han, J., Liu, X., Gao, Y. & Kaplan, L., Jan 2018, In: IEEE Transactions on Parallel and Distributed Systems. 29, 1, p. 198-211 14 p.

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

  • Sensor nodes
  • Agglomeration
  • Labels
  • Decision making
  • Availability

• TruePIE: Discovering reliable patterns in pattern-based information extraction

  Li, Q., Jiang, M., Zhang, X., Qu, M., Hanratty, T., Gao, 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. 1675-1684 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

  • Seed
  • Labels
  • Statistics
  • Semantics
  • Experiments

• Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks

  Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., Nov 1 2018, In: Data Mining and Knowledge Discovery. 32, 6, p. 1735-1767 33 p.

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

  • Semantics
  • Costs
  • Experiments

• Weakly-supervised neural text classification

  Meng, Y., Shen, J., Zhang, 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. 983-992 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Text Classification
  • Supervision
  • Module
  • Bootstrap
  • Generator

• Weakly-supervised relation extraction by pattern-enhanced embedding learning

  Qu, M., Ren, X., Zhang, Y. & Han, J., Apr 10 2018, The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, p. 1257-1266 10 p. (The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018).

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

  • Seed
  • Statistics
  • Classifiers
  • Neural networks
  • Experiments
• 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