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Huan Sun

  • Assistant Professor, Computer Science & Engineering
  • 699 Dreese Laboratories
    2015 Neil Ave.
    Columbus, OH 43210
  • 614-688-1078

Honors

  • Outstanding Dissertation Award.

  • Rising Star in EECS.

  • SIGKDD 2016 Ph.D. Dissertation Runner-Up Award.

Journal Articles

  • Tan, S.; Li, Y.; Sun, H.; Guan, Z. et al., "Interpreting the Public Sentiment Variations on Twitter." IEEE Transactions on Knowledge and Data Engineering (TKDE 2014)
  • Guan, Z.; Yang, S.; Sun, H.; Srivatsa, M. et al., "Fine-Grained Knowledge Sharing in Collaborative Environments." IEEE Transactions on Knowledge and Data Engineering (TKDE 2015)

    • Presentations

    • "Mining Big Data to Build Your Own Intelligent Assistant." 2017, Presented at Innovation Summit 2017,
    • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at Rice University,
    • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at UMass Amherst,
    • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at Penn State University,
    • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts”." 2018, Presented at University of Illinois, Chicago,

    Papers in Proceedings

    2018

    • Su, Y.; Liu, H.; Yavuz, S.; Gur, I. et al. "Global Relation Embedding for Relation Extraction." in Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2018. (4 2018).
    • Yao, Z.; Weld, D.; Chen, W-P.; Sun, H. "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow." in The Web Conference (former International Conference on World Wide Web ) 2018. (4 2018).

    2017

    • Zhao, J.; Su, Y.; Guan, Z.; Sun, H. "An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective." in Empirical Methods in Natural Language Processing (EMNLP) 2017. (9 2017).
    • Li, Y.; Du, N.; Liu, C.; Xie, Y. et al. "Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts." in ACM International Conference on Web Search and Data Mining 2017 (WSDM'17). (2 2017).

    2016

    • Han, F.; Tan, S.; Sun, H.; Yan, X. et al. "Distributed Representations of Expertise." in SIAM Int. Conf. on Data Mining 2016 (SDM'16). (5 2016).
    • Su, Y.; Sun, H.; Sadler, B.; Srivatsa, M. et al. "On Generating Characteristic-rich Question Sets for QA Evaluation." in In 2016 Empirical Methods in Natural Language Processing (EMNLP'16). (11 2016).
    • Liu, C.; Sun, H.; Du, N.; Tan, S. et al. "Augmented LSTM Framework to Construct Medical Self-diagnosis Android." in IEEE International Conference on Data Mining (ICDM'16). (12 2016).
    • Sun, H.; Ma, H.; He, X.; Yih, W. et al. "Table Cell Search for Question Answering." in The 25th Int. World Wide Web Conference (WWW'16). (4 2016).
    • Li, Y.; Tan, S.; Sun, H.; Han, J. et al. "Entity Disambiguation with Linkless Knowledge Bases." in The 25th International World Wide Web Conference (WWW'16). (4 2016).

    2015

    • Sun, H.; Ma, H.; Yih, W.; Tsai, C. et al. "Open Domain Question Answering via Semantic Enrichment." in The 24th Int. World Wide Web Conference (WWW'15). (5 2015).
    • Su, Y.; Yang, S.; Sun, H.; Srivatsa, M. et al. "Exploiting Relevance Feedback in Knowledge Graph Search." in Proc. of the 21st Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD’15). (8 2015).

    2014

    • Zhu, F.; Sun, H.; X, Y. "Network Mining and Analysis for Social Applications." in Tutorials of SIGKDD'14. (8 2014).
    • Sun, H.; Srivatsa, M.; Tan, S.; Li, Y. et al. "Analyzing Expert Behaviors in Collaborative Networks." in Proc. of the 20th Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD'14). (8 2014).
    • Yang, S.; Wu, Y.; Sun, H.; Yan, X. "Schemaless and Structureless Graph Querying." in Proc. of Int. Conf. on Very Large Data Bases (VLDB'14). (9 2014).
    • Yang, S.; Xie, Y.; Wu, Y.; Wu, T. et al. "SLQ: A User-friendly Graph Querying System." in Proc. of Int. Conf. on Management of Data (SIGMOD'14, demo). (6 2014).
    • Sun, H.; Li, N.; Chipman, K.; George, J. et al. "A Probabilistic Approach to Uncovering Attributed Graph Anomalies." in SIAM Int. Conf. on Data Mining 2014 (SDM'14). (4 2014).

    2013

    • Sun, H.; Morales, A.; Yan, X. "Synthetic Review Spamming and Defense." in Proc. of the 19th Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD'13). (8 2013).
    • Sun, H.; Miao, G.; Yan, X. "Noise-Resistant Bicluster Recognition." in IEEE Int. Conf. on Data Mining 2013 (ICDM'13). (12 2013).