Jiawei Han

Search results

• 2019

  Mining entity synonyms with efficient neural set generation

  Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B. & 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. American Association for Artificial Intelligence (AAAI) Press, p. 249-256 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

  • Classifiers 100%
  • Set theory 90%
  • Experiments 25%

• Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach

  Kim, H., El-Kishky, A., Ren, X. & Han, J., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 105-114 10 p. 9006049. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

  • Tsunamis 70%
  • Modeling 62%
  • Data structures 43%
  • Experiments 18%
  • Summarization 14%

• Multi-Domain Integration and Correlation Engine

  Dron, W., Hunter, A., Sydney, A., Pal, S., Hancock, J., Scott, L., Abdelzaher, T., Han, J., Adali, S. & Horne, B., Jan 2 2019, 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1074-1079 6 p. 8599706. (Proceedings - IEEE Military Communications Conference MILCOM; vol. 2019-October).

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

  • Engines 100%
  • Sensor networks 90%
  • Machine learning 76%
  • Data reduction 61%
  • Image sensors 55%

• Neural embedding propagation on heterogeneous networks

  Yang, C., Zhang, J. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 698-707 10 p. 8970814. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

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

  • Semi-supervised learning 100%
  • Labels 69%
  • Embeddings (Algorithms) 32%
  • Machine learning 19%
  • Experiments 9%

• Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings

  El-Kishky, A., Xu, F., Zhang, A. & Han, J., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 64-73 10 p. 9005957. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

  • Segmentation 100%
  • Parsimony 57%
  • Text Mining 52%
  • Text mining 49%
  • Vocabulary 35%

• Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature

  Li, Q., Wang, X., Zhang, Y., Ling, F., 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. 420-427 8 p. 8621375. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

  • Information Storage and Retrieval 100%
  • PubMed 43%
  • Experiments 12%

• 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 100%
  • Knowledge Bases 42%
  • Benchmarking 37%
  • Biological Phenomena 33%
  • Datasets 27%

• 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

  • Pipelines 100%

• 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

  • Summarization 100%
  • Query 75%
  • Evolutionary 51%
  • Computer Vision 32%
  • Experiment 13%

• 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, 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 100%
  • Path 43%
  • Reinforcement learning 42%
  • Modeling 41%
  • Vertex of a graph 27%

• 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

  • Physics 100%
  • Neural networks 70%
  • Deep neural networks 56%
  • Deep learning 51%
  • Motion sensors 36%

• 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

  • Node 100%
  • Classifier 17%
  • Modeling 17%
  • Experiment 8%

• 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. American Association for Artificial Intelligence (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 100%
  • Experiments 36%
• 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 100%
  • Labels 29%
  • Labeling 16%
  • Machine learning 12%
  • Costs 6%

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

  Zhu, W., Zhang, C., Yao, S., Gao, X. & Han, J., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. American Association for Artificial Intelligence (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 100%
  • Newton-Raphson method 21%
  • Global positioning system 16%
  • Costs 7%
  • Experiments 7%

• 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 100%
  • Stars 98%
  • Reinforcement learning 95%

• 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 100%
  • User experience 59%
  • Information Networks 58%
  • Big data 27%
  • Modeling 21%

• 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

  • Labeled data 100%
  • Labels 72%
  • Competitive intelligence 17%
  • Experiments 5%

• 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 100%
  • Experiments 29%

• 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

  Open Access

  • Transcription 100%
  • Experiments 20%

• Efficient contextualized representation: Language model pruning for sequence labeling

  Liu, L., Ren, X., Shang, J., Gu, X., Peng, J. & Han, J., 2018, 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 61%
  • Corpus 14%
  • Drop out 13%
  • Workload 13%
  • Leverage 13%

• 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. American Association for Artificial Intelligence (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 100%
  • Linguistics 16%
  • Graphics processing unit 15%
  • Neural networks 10%
  • Experiments 6%

• 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

  • Reinforcement Learning 100%
  • Taxonomies 70%
  • Reinforcement learning 66%
  • Term 21%
  • Reward 15%

• 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

  Open Access

  • Agglomeration 83%
  • Set theory 61%
  • Experiments 34%

• 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

  Open Access

  • Taxonomies 100%
  • Costs 2%
  • Experiments 2%

• 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 100%
  • Competitive intelligence 82%
  • Online systems 79%
  • Deep learning 58%
  • Experiments 23%

• 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

  • Labeled data 73%
  • Labeling 61%
  • Feedback 39%

• 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

  Open Access

  • Key Words 27%
  • Recurrent Neural Networks 18%
  • Gradient 14%
  • Boosting 13%
  • Leverage 9%

• Learning named entity tagger using domain-specific dictionary

  Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., 2018, 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. 2054-2064 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

  • Glossaries 79%
  • Learning 74%
  • Labels 52%
  • Benchmark 40%
  • Annotation 28%

• 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

  • Graph algorithms 92%
  • Embeddings (Algorithms) 88%
  • Labeled data 86%
  • Graph theory 82%
  • Supervised learning 77%

• 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 100%
  • Node 67%
  • Toxicity 42%
  • Graph 40%
  • Proteins 32%

• 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

  • Experiments 23%

• 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

  Open Access

  • Information Storage and Retrieval 100%
  • Names 13%
  • Experiments 4%

• 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

  Open Access

  • Induction 8%
  • Nonparametric Model 5%
  • Information Services 4%
  • Graph 4%
  • Performance 1%

• 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., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. American Association for Artificial Intelligence (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 100%
  • Marketing 76%

• 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

  Open Access

  • Taxonomies 100%
  • Hierarchical clustering 22%
  • Experiments 6%

• 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

  Open Access

  • Natural language processing systems 100%
  • Labels 69%
  • Experiments 29%

• 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

  Open Access

  • Text Classification 100%
  • Supervision 20%
  • Bootstrap 13%
  • Neural Networks 11%
  • Generator 10%

• 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

  • Classifiers 68%
  • Neural networks 58%
  • Experiments 34%
• 2017

  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 100%
  • Vote 17%

• 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

  • Supervised learning 91%
  • Learning systems 88%
  • Data mining 71%

• 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

  • Semi-supervised learning 100%
  • Collaborative filtering 92%
  • Factorization 27%
  • Industry 23%
  • Data mining 22%

• 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 100%
  • Global positioning system 25%
  • Mobile computing 25%

• 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

  • Labeled data 100%
  • Data mining 70%
  • Industry 37%

• 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 100%
  • Credibility 32%
  • Empirical Evaluation 21%
  • Query 20%
  • Rationale 15%

• 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

  Open Access

  • Scalability 39%
  • Set theory 31%
  • Experiments 17%

• Constructing structured information networks from massive text corpora

  Ren, X., Jiang, M., Shang, J. & Han, J., 2017, 26th International World Wide Web Conference 2017, WWW 2017 Companion. International World Wide Web Conferences Steering Committee, p. 951-954 4 p. (26th International World Wide Web Conference 2017, WWW 2017 Companion).

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

  • Data mining 100%

• 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 100%
  • Big data 27%

• 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., 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

  • Labeled data 100%
  • Labels 72%
  • Pipelines 64%
  • Labeling 41%
  • Experiments 15%

• 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 100%
  • Heuristic Algorithm 34%
  • Scoring 32%
  • NP-hard 32%
  • Objective Function 28%