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Huan Sun

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

Honors

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

  • Rising Star in EECS.

  • Outstanding Dissertation Award.

Journal Articles

2020

  • Yue, X.; Wang, Z.; Huang, J.; Parthasarathy, S. et al., 2020, "Graph embedding on biomedical networks: methods, applications and evaluations.." Bioinformatics 36, no. 4, 1241-1251 - 1241-1251.

2019

  • Zhao, W.; Guan, Z.; Huang, Y.; Xi, T. et al., 2019, "Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments." IEEE Transactions on Knowledge and Data Engineering (TKDE)

2015

  • Guan, Z.; Yang, S.; Sun, H.; Srivatsa, M. et al., 2015, "Fine-Grained Knowledge Sharing in Collaborative Environments." IEEE Transactions on Knowledge and Data Engineering (TKDE)

2014

  • Tan, S.; Li, Y.; Sun, H.; Guan, Z. et al., 2014, "Interpreting the Public Sentiment Variations on Twitter." IEEE Transactions on Knowledge and Data Engineering (TKDE)

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,
  • "Intelligent Collaboration among Humans and Machines (from Natural LanguageUnderstanding Perspective)." 2019, Presented at OSU-Tsukuba Joint Linguistics Workshop,
  • "Intelligent Collaboration among Humans and Machines (from Natural Language Understanding Perspective)." 2019, Presented at Army Science Planning and Strategy Meeting, Austin, Texas,
  • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at City Brain Project,,
  • "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at Fudan Unversity,
  • "he Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts." 2018, Presented at Tsinghua Unversity,
  • Intelligent Collaboration among Humans and Machines (from Natural Language Understanding Perspective). 2019, Presented at IEEE National Aerospace Electronics Conference (NAECON),
  • "Interactive Semantic Parsing and Question Answering." 2019, Presented at Facebook Conversational AI,
  • "Network Mining and Analysis for Social Applications (tutorials at SIGKDD'14)." 2014, Presented at Proc. of the 20th Int. Conf. on Knowledge Discovery and Data Mining,

Papers in Proceedings

2019

  • Deng, X.; Sun, H. "Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction." in 2019 Conference on Empirical Methods in Natural Language Processing. (5 2019).
  • Yao, Z.; Su, Y.; Sun, H.; Yih, W-T. "Model-based Interactive Semantic Parsing: A Unified Formulation and A Text-to-SQL Case Study." in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP). (11 2019).
  • Pan, B.; Li, H.; Yao, Z.; Cai, D. et al. "Reinforced Dynamic Reasoning for Conversational Question Generation." in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. (5 2019).
  • Zhao, J.; Guan, Z.; Sun, H. "Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering." in The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019. (4 2019).
  • Wang, Z.; Yue, X.; Moosavinasab, S.; Huang, Y. et al. "SurfCon: Synonym Discovery on Privacy-Aware Clinical Data." in The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019. (4 2019).
  • Chen, L.; Guan, Z.; Zhao, W.; Zhao, W. et al. "Answer Identification from Product Reviews for User Questions by Multi-task Attentive Networks." in The AAAI Conference on Artificial Intelligence (AAAI) 2019. (1 2019).
  • Yao, Z.; Peddamail, J.; Sun, H. "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning." in The Web Conference (former WWW Conference) 2019. (1 2019).
  • Yao, Z.; Li, X.; Gao, J.; Sadler, B. et al. "Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning." in The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019. (1 2019).

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 Conference on Empirical Methods in Natural Language Processing. (1 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).
  • 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).
  • 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).
  • Sun, H.; Ma, H.; He, X.; Yih, W-T. et al. "Table cell search for question answering." in International Conference on World Wide Web. (1 2016).
  • Su, Y.; Sun, H.; Sadler, B.; Srivatsa, M. et al. "On generating characteristic-rich question sets for qa evaluation." in Conference on Empirical Methods in Natural Language Processing. (1 2016).

2015

  • Su, Y.; Yang, S.; Sun, H.; Srivatsa, M. et al. "Exploiting relevance feedback in knowledge graph search." in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (1 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).

2014

  • Li, N.; Sun, H.; 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).
  • 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).
  • 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).
  • 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).

2013

  • Sun, H.; Miao, G.; Yan, X. "Noise-Resistant Bicluster Recognition." in IEEE Int. Conf. on Data Mining 2013 (ICDM'13). (12 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).