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• 2019

  Learning to diversify for e-commerce search with multi-Armed bandit

  Goswami, A., Zhai, C. & Mohapatra, P., 2019, In: CEUR Workshop Proceedings. 2410

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

  • Industry
  • Experiments

• Livedatalab: A cloud-based platform to facilitate hands-on data science education at scale

  Green, A. & 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

  • Data Science
  • Education
  • instructor
  • grading
  • Demonstrations

• 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

• Multi-Attribute Topic Feature Construction for Social Media-based Prediction

  Morales, A., Gandhi, N., Chan, M. P. S., Lohmann, S., Sanchez, T., Brady, K. A., Ungar, L., Albarracín, D. & Zhai, C., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1073-1078 6 p. 8622347. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

  • Viruses
  • Metadata
  • Semantics

• Neural machine translation with soft prototype

  Wang, Y., Xia, Y., Tian, F., Gao, F., Qin, T., Zhai, C. X. & Liu, T. Y., 2019, In: Advances in Neural Information Processing Systems. 32

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

  • Decoding
  • Costs

• Non-local Attention Learning on Large Heterogeneous Information Networks

  Xiao, Y., Zhang, Z., Yang, C. & Zhai, C., 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. 978-987 10 p. 9006463. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

  • Information Networks
  • Neural networks
  • Big data
  • Graph
  • Scalability

• 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

• Quantifying and visualizing the demand and supply gap from e-commerce search data using topic models

  Goswami, A., Mohapatra, P. & Zhai, C., May 13 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 348-353 6 p. (The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019).

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

  • Sales
  • Industry
  • Economics
  • Marketing
  • Engines

• 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

• Web of slides: Automatic linking of lecture slides to facilitate navigation

  Labhishetty, S., Bhavya, Pei, K., Boughoula, A. & Zhai, C., 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

  • Navigation
  • learning

• Wosview Demo: A tool to explore the web of slides

  Labhishetty, S., Bhavya, Pei, K., Boughoula, A. & Zhai, C., 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

  • Navigation
  • Students
  • Feedback
  • student
• 2020

  A Study of Methods for the Generation of Domain-Aware Word Embeddings

  Seyler, D. & 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. 1609-1612 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

  • Interpolation
  • Embeddings (Algorithms)
  • Fusion reactions

• 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

• 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

• 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

• 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

• Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods

  Karmaker, S. S. K., Sondhi, P. & Zhai, C. X., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 3281-3284 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  Open Access

  • Learning to Rank
  • Customization
  • Query
  • Empirical Analysis
  • Relative Performance

• Explanation Mining

  Bhavya & Zhai, C. X., Aug 12 2020, L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale. Association for Computing Machinery, p. 321-324 4 p. (L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale).

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

  • Textbooks
  • Information retrieval

• 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

• Finding contextually consistent information units in legal text

  Seyler, D., Bruin, P., Bayyapu, P. & Zhai, C. X., 2020, In: CEUR Workshop Proceedings. 2645, p. 48-51 4 p.

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

  • Data mining

• 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

• Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs

  Boughoula, A., San, A. & Zhai, C. X., Aug 12 2020, L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale. Association for Computing Machinery, p. 381-384 4 p. (L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale).

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

  • Textbooks
  • Education
  • Neural networks
  • Learning algorithms
  • Machine learning

• Leveraging Personalized Sentiment Lexicons for Sentiment Analysis

  Seyler, D., Shen, J., Xiao, J., Wang, Y. & Zhai, C. X., Sep 14 2020, ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval. Association for Computing Machinery, p. 109-112 4 p. (ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval).

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

  Open Access

  • Sentiment analysis

• Structural and Textual Information Fusion for Symptom and Disease Representation Learning

  Zhao, S., Jiang, M., Qin, B., Liu, T., Zhai, C. & Wang, F., 2020, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.

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

  • Information fusion
  • Health