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• 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

• 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

• 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

• 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

• 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 mining of correlated sequential patterns based on null hypothesis

  Lin, C. X., Ji, M., Danilevsky, M. & Han, J., Dec 7 2012, Web-KR'12 - Proceedings of the 2012 ACM International Workshop on Web-Scale Knowledge Representation, Retrieval and Reasoning, Co-located with CIKM 2012. p. 17-24 8 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Sequential Patterns
  • Pattern Mining
  • Data Mining
  • Piles
  • Experimental Study

• Efficient keyword-based search for top-K cells in text cube

  Ding, B., Zhao, B., Lin, C. X., Han, J., Zhai, C., Srivastava, A. & Oza, N. C., Oct 31 2011, In: IEEE Transactions on Knowledge and Data Engineering. 23, 12, p. 1795-1810 16 p., 5710919.

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

  • Query languages
  • Dynamic programming

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Document-topic hierarchies from document graphs

  Weninger, T., Bisk, Y. & Han, J., Jan 1 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 635-644 10 p. (ACM International Conference Proceeding Series).

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

  • Taxonomies
  • Experiments

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Density-based shrinkage for revealing hierarchical and overlapping community structure in networks

  Huang, J., Sun, H., Han, J. & Feng, B., Jun 1 2011, In: Physica A: Statistical Mechanics and its Applications. 390, 11, p. 2160-2171 12 p.

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

  • Community Structure
  • Shrinkage
  • Overlapping
  • Community
  • shrinkage

• 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

• 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

• Data Mining: Concepts and Techniques

  Han, J., Kamber, M. & Pei, J., Jan 1 2012, Elsevier Inc.

  Research output: Book/Report/Conference proceeding › Book

  • Data mining
  • Acoustic waves
  • Data warehouses
  • Data Analytics
  • Websites

• 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

• 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

• 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

• 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

• Context-Aware entity morph decoding

  Zhang, B., Huang, H., Pan, X., Li, S., Lin, C. Y., Ji, H., Knight, K., Wen, Z., Sun, Y., Han, J. & Yener, B., Jan 1 2015, ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 586-595 10 p. (ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference; vol. 1).

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

  Open Access

  • Deep learning
  • Decoding
  • Communication

• Content coverage maximization on word networks for hierarchical topic summarization

  Wang, C., Yu, X., Li, Y., Zhai, C. & Han, J., Dec 11 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 249-258 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Summarization
  • Text Summarization
  • Modeling
  • Network Analysis
  • Random Walk

• Construction of web-based, service-oriented information networks: A data mining perspective (abstract)

  Han, J., Sep 6 2012, Web-Age Information Management - 13th International Conference, WAIM 2012, Proceedings. p. 17-19 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7418 LNCS).

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

  • Service-oriented
  • Web-based
  • Data Mining
  • World Wide Web
  • Data mining

• 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

• Construction and analysis of web-based computer science information networks

  Han, J., Jul 19 2011, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings. p. 1-2 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6743 LNAI).

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

  • Web-based
  • Computer science
  • Computer Science
  • Schema
  • Electric network analysis

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Liu, J., Desai, N., Danilevsky, M. & Han, J., Sep 17 2015, In: Knowledge and Information Systems. 44, 3, p. 529-558 30 p.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• Constructing topical hierarchies in heterogeneous information networks

  Wang, C., Danilevsky, M., Liu, J., Desai, N., Ji, H. & Han, J., Dec 1 2013, In: Proceedings - IEEE International Conference on Data Mining, ICDM. p. 767-776 10 p., 6729561.

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

  • Heterogeneous networks
  • Clustering algorithms
  • Industry
  • Experiments

• Constrained information-theoretic tripartite graph clustering to identify semantically similar relations

  Wang, C., Song, Y., Roth, D., Wang, C., Han, J., Ji, H. & Zhang, M., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3882-3889 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

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

  • Supervised learning
  • Information retrieval
  • Clustering algorithms

• Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection

  Gao, J., Fan, W., Turaga, D., Verscheure, O., Meng, X., Su, L. & Han, J., Aug 2 2011, 2011 Proceedings IEEE INFOCOM. p. 181-185 5 p. 5934982. (Proceedings - IEEE INFOCOM).

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

  • Anomaly detection
  • Detectors
  • Denial-of-service attack

• 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

• 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

• Community trend outlier detection using soft temporal pattern mining

  Gupta, M., Gao, J., Sun, Y. & Han, J., 2012, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 ed. p. 692-708 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7524 LNAI, no. PART 2).

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

  • Outlier Detection
  • Mining
  • Anomaly detection
  • Community
  • Trends

• Community distribution outlier detection in heterogeneous information networks

  Gupta, M., Gao, J. & Han, J., Oct 31 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 1 ed. p. 557-573 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8188 LNAI, no. PART 1).

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

  • Outlier Detection
  • Anomaly detection
  • Heterogeneous networks
  • Community
  • Outlier

• 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

• Collective topic modeling for heterogeneous networks

  Deng, H., Zhao, B. & Han, J., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 1109-1110 2 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Heterogeneous networks
  • Statistical Models

• Collection-based sparse label propagation and its application on social group suggestion from photos

  Yu, J., Jin, X., Han, J. & Luo, J., Feb 1 2011, In: ACM Transactions on Intelligent Systems and Technology. 2, 2, 12.

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

  • Propagation
  • Labels
  • Classifiers
  • Feedback
  • Social Networks

• 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