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• 2017

  Dynamic credit allocation in scientific literature

  Bao, P. & Zhai, C., Jul 1 2017, In: Scientometrics. 112, 1, p. 595-606 12 p.

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

  • technical literature
  • credit
  • Large scale systems
  • Reinforcement
  • scientific community
• 2019

  Automatic assessment of complex assignments using topic models

  Kuzi, S., Cope, W., Ferguson, D., Geigle, C. & Zhai, C. X., Jun 24 2019, Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).

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

  • Veterinary medicine
  • Students
  • Statistical Models
  • veterinary medicine
  • Machine learning
• 2020

  Collective development of large scale data science products via modularized assignments: An experience report

  Bhavya, Boughoula, A., Green, A. & Zhai, C. X., Feb 26 2020, SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, p. 1200-1206 7 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

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

  Open Access

  • Data Science
  • Assignment
  • Students
  • experience
  • Expert Finding
• 2017

  Text-based geolocation prediction of social media users with neural networks

  Lourentzou, I., Morales, A. & Zhai, C., Jul 1 2017, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Nie, J-Y., Obradovic, Z., Suzumura, T., Ghosh, R., Nambiar, R., Wang, C., Zang, H., Baeza-Yates, R., Baeza-Yates, R., Hu, X., Kepner, J., Cuzzocrea, A., Tang, J. & Toyoda, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 696-705 10 p. (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; vol. 2018-January).

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

  • Social Media
  • Neural Networks
  • Text
  • Recommendation System
  • Speech Recognition
• 2020

  CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums

  Morales, A., Narang, K., Sundaram, H. & Zhai, C., 2020, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings. Lauw, H. W., Lim, E-P., Wong, R. C-W., Ntoulas, A., Ng, S-K. & Pan, S. J. (eds.). Springer, p. 592-605 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12084 LNAI).

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

  Open Access

  • Trustworthiness
  • Learning
  • Community
  • Semantic Similarity
  • Reinforcement
• 2019

  Help me search: Leveraging user-system collaboration for query construction to improve accuracy for difficult queries

  Kuzi, S., Pampari, A., Narwekar, A. & Zhai, C. X., Jul 18 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1221-1224 4 p. (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  • Collaboration
  • Search engines
  • Query
  • Search Engine
  • Strategy
• 2017

  Modeling MOOC student behavior with two-layer hidden Markov models

  Geigle, C. & Zhai, C. X., 2017, p. 6. 1 p.

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

  • Hidden Markov models
  • Students
• 2020

  Axiomatic thinking for information retrieval: introduction to special issue

  Amigó, E., Fang, H., Mizzaro, S. & Zhai, C., Jun 1 2020, In: Information Retrieval Journal. 23, 3, p. 187-190 4 p.

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

  Open Access
• 2017

  On application of learning to rank for e-commerce search

  Santu, S. K. K., Sondhi, P. & Zhai, C., 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. 475-484 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

  • Feedback
  • Crowdsourcing
  • Electronic commerce
  • Search engines
  • Information retrieval
• 2020

  Interactive Information Retrieval: Models, Algorithms, and Evaluation

  Zhai, C. X., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2444-2447 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  Open Access

  • Information retrieval
  • Information retrieval systems
  • Search engines
  • Feedback
• 2019

  Multi-agent dual learning

  Wang, Y., Xia, Y., He, T., Tian, F., Qin, T., Zhai, C. X. & Liu, T. Y., 2019.

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

  • Duality
  • Dual Task
  • Computer Vision
  • English People
  • learning
• 2017

  Dual-clustering maximum entropy with application to classification and word embedding

  Wang, X., Wang, J. & Zhai, C., 2017, p. 3323-3329. 7 p.

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

  • Entropy
  • Machine learning
  • Costs

• A probabilistic approach for discovering difficult course topics using clickstream data

  Boughoula, A., Geigle, C. & Zhai, C. X., Apr 12 2017, L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale. Association for Computing Machinery, Inc, p. 303-306 4 p. (L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale).

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

  • Students
  • ranking
  • voter
  • student
  • Search engines
• 2020

  FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles

  Kuzi, S., Zhai, C. X., Tian, Y. & Tang, H., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2133-2136 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

  Open Access

  • Neural networks
• 2019

  Preface

  Zhai, C., Liu, Y., Zhang, Q., Liao, X. & Ren, Z., Jan 1 2019, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11772 LNCS, p. v-vi

  Research output: Contribution to journal › Editorial › peer-review
• 2017

  Probabilistic topic models for text data retrieval and analysis

  Zhai, C., 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. 1399-1401 3 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

  • Statistical Models
  • Semantics
  • Electronic mail
  • Intelligent systems
  • Information retrieval
• 2018

  CLaDS: A cloud-based virtual lab for the delivery of scalable hands-on assignments for practical data science education

  Geigle, C., Sundaram, H., Lourentzou, I. & Zhai, C. X., Jul 2 2018, ITiCSE 2018 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Andreou, P., Armoni, M., Read, J. C. & Polycarpou, I. (eds.). Association for Computing Machinery, p. 176-181 6 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

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

  • Data Science
  • Assignment
  • Education
  • Costs
  • education
• 2019

  TILM: A neural language model with evolving topical influence

  Santu, S. K. K., Veeramachaneni, K. & Zhai, C. X., 2019, CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics, p. 778-788 11 p. (CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2017

  Constructing and embedding abstract event causality networks from text snippets

  Zhao, S., Wang, Q., Massung, S., Qin, B., Liu, T., Wang, B. & Zhai, C. X., Feb 2 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 335-344 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

  • Financial markets
  • Vector spaces

• High-dimensional variance-reduced stochastic gradient expectation-maximization algorithm

  Zhu, R., Wang, L., Zhai, C. & Gu, Q., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 6337-6345 9 p. (34th International Conference on Machine Learning, ICML 2017; vol. 8).

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

  • Linear regression
  • Parameter estimation
  • Computational complexity
  • Experiments
• 2020

  Biosystems Design by Machine Learning

  Volk, M. J., Lourentzou, I., Mishra, S., Vo, L. T., Zhai, C. & Zhao, H., Jul 17 2020, In: ACS synthetic biology. 9, 7, p. 1514-1533 20 p.

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

  • Machine Learning
  • Machine learning
  • Nucleic acids
  • Nucleic Acids
  • Enzymes
• 2018

  Are we on the right track? An examination of information retrieval methodologies

  Amigó, E., Fang, H., Mizzaro, S. & Zhai, C., Jun 27 2018, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery, Inc, p. 997-1000 4 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

  • Information retrieval
• 2017

  Information retrieval evaluation as search simulation: A general formal framework for IR evaluation

  Zhang, Y., Liu, X. & Zhai, C., Oct 1 2017, ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc, p. 193-200 8 p. (ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval).

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

  • Information retrieval
  • Experiments
• 2018

  An online risk index for the cross-sectional prediction of new HIV chlamydia, and gonorrhea diagnoses across U.S. counties and across years

  Chan, M. P. S., Lohmann, S., Morales, A., Zhai, C., Ungar, L., Holtgrave, D. R. & Albarracín, D., Jul 2018, In: AIDS and Behavior. 22, 7, p. 2322-2333 12 p.

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

  • Gonorrhea
  • Chlamydia
  • HIV
  • Social Media
  • Vocabulary