News

• 08/2022: I joined NSF AI Institute for Student-AI Teaming(iSAT) as a post-doctoral researcher.
• 06/2022: New preprint on visual analysis of neural network pruning.
• 05/2022: Guest Lecturer @ University of Idaho on CS 501 Seminar: Contemporary Issues, ‘Inductive Biases in Deep Linguistic Structured Prediction’.
• 11/2021: Applying contrastive self-supervised learning for database query plans. “Database Workload Characterization with Query Plan Encoders” is accepted to VLDB’2022.
• 03/2021: “A Comparative Study on Schema-Guided Dialogue State Tracking” is accepted to NAACL’2021.
• 12/2020: Talk about ‘Task-oriented Conversational Semantic Parsing’ on EMNLP’2020 Watch Party@Amazon Lex.

Publications

• Zhimin Li, Shusen Liu, Xin Yu, Kailkhura Bhavya, Jie Cao, Diffenderfer James Daniel, Peer-Timo Bremer, and Valerio Pascucci. 2022. "Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. arXiv preprint arXiv:2206.07918.
  • BibTeX

    @article{vis-pruning2022,
      title = {"Understanding Robustness Lottery": A Comparative Visual Analysis of
          Neural Network Pruning Approaches},
      author = {Li, Zhimin and Liu, Shusen and Yu, Xin and Bhavya, Kailkhura and Cao, Jie and Daniel, Diffenderfer James and Bremer, Peer-Timo and Pascucci, Valerio},
      journal = {arXiv preprint arXiv:2206.07918},
      year = {2022}
    }
    

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• Debjyoti Paul*, Jie Cao*, Feifei Li, and Vivek Srikumar. 2021. Database workload characterization with query plan encoders. Proceedings of the VLDB Endowment, 15(4):923–935.
  • BibTeX

    @article{cao2021dbqencoder,
      title = {Database workload characterization with query plan encoders},
      author = {{Debjyoti Paul}* and {Jie Cao}* and Li, Feifei and Srikumar, Vivek},
      journal = {Proceedings of the VLDB Endowment},
      volume = {15},
      number = {4},
      pages = {923--935},
      year = {2021},
      publisher = {VLDB Endowment}
    }
    

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• Jie Cao and Yi Zhang. 2021. A Comparative Study on Schema-Guided Dialogue State Tracking. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 782–796.
  • BibTeX

    @inproceedings{cao2021comparative,
      title = {A Comparative Study on Schema-Guided Dialogue State Tracking},
      author = {Cao, Jie and Zhang, Yi},
      booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
      pages = {782--796},
      year = {2021}
    }
    

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  • Poster
• Jie Cao, Yi Zhang, Adel Youssef, and Vivek Srikumar. 2019. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the Conference on Natural Language Learning(CoNLL), pages 138–148.
  • BibTeX

    @inproceedings{cao2019amazon,
      title = {Amazon at MRP 2019: Parsing Meaning Representations with Lexical and
          Phrasal Anchoring},
      author = {Cao, Jie and Zhang, Yi and Youssef, Adel and Srikumar, Vivek},
      booktitle = {Proceedings of the Shared Task on Cross-Framework Meaning
          Representation Parsing at the Conference on Natural Language
            Learning(CoNLL)},
      pages = {138--148},
      year = {2019}
    }
    

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  • Slides
• Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, and Vivek Srikumar. 2019. Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
  • BibTeX

    @inproceedings{cao2019observing,
      title = {Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes},
      author = {Cao, Jie and Tanana, Michael and Imel, Zac and Poitras, Eric and Atkins, David and Srikumar, Vivek},
      booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
      year = {2019},
      location = {Florence, Italy}
    }
    

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  • Slides
• Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, and Jie Zhou. 2019. Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
  • BibTeX

    @inproceedings{rhetorical-poetry2019,
      title = {Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation},
      author = {Liu, Zhiqiang and Fu, Zuohui and Cao, Jie and {de Melo}, Gerard and Tam, Yik-Cheung and Niu, Cheng and Zhou, Jie},
      booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
      year = {2019},
      location = {Florence, Italy}
    }
    

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• Shuo, Sun*, Yik-Cheung Tam*, Jie Cao*, Canxiang Yan, Zuohui Fu, Cheng Niu, and Jie Zhou. 2019. End-to-end Gated Self-attentive Memory Network for Dialog Response Selection. In AAAI DSTC7 Workshop (Equal Contribution).
  • BibTeX

    @inproceedings{jie2019dstc,
      title = {End-to-end Gated Self-attentive Memory Network for Dialog Response Selection},
      author = {{Shuo, Sun}* and {Yik-Cheung Tam}* and {Jie Cao*} and {Canxiang Yan} and {Zuohui Fu} and {Cheng Niu} and {Jie Zhou}},
      booktitle = {AAAI DSTC7 Workshop (Equal Contribution)},
      year = {2019},
      location = {Honolulu, American}
    }
    

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  • Poster
• Xijiang Ke, Hai Jin, Xia Xie, and Jie Cao. 2015. A distributed SVM method based on the iterative MapReduce. In Semantic Computing (ICSC), IEEE International Conference on, pages 116–119. IEEE.
  • BibTeX

    @inproceedings{ke2015distributed,
      title = {A distributed SVM method based on the iterative MapReduce},
      author = {Ke, Xijiang and Jin, Hai and Xie, Xia and Cao, Jie},
      booktitle = {Semantic Computing (ICSC), IEEE International Conference on},
      pages = {116--119},
      year = {2015},
      organization = {IEEE}
    }
    

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• Xia Xie, Jie Cao, Hai Jin, Xijiang Ke, and Wenzhi Cao. 2012. JRBridge: A framework of large-scale statistical computing for R. In Services Computing Conference (APSCC), IEEE Asia-Pacific, pages 27–34. IEEE.
  • BibTeX

    @inproceedings{xie2012jrbridge,
      title = {JRBridge: A framework of large-scale statistical computing for R},
      author = {Xie, Xia and Cao, Jie and Jin, Hai and Ke, Xijiang and Cao, Wenzhi},
      booktitle = {Services Computing Conference (APSCC), IEEE Asia-Pacific},
      pages = {27--34},
      year = {2012},
      organization = {IEEE}
    }
    

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Research Experience

• [08/2015 - now ] Research Assistant at Utah NLP Lab, Univeristy of Utah, Salt Lake City
• [06/2020 - 12/2020] Applied Scientist Intern at AWS AI, Amazon Lex, Remote
  • Our paper on schema-guided dialog got accepted by NAACL 2021.
• [06/2019 - 09/2019] Applied Scientist Intern at AWS AI, Amazon Lex, Seattle
  • In CoNLL shared task MRP 2019, over 16 teams, our system on cross-framework meaning representation parsing ranked 1st in AMR parsing task, 5th in UCCA, 6th and 7th in PSD and DM tasks. Spotlight Talk
• [05/2018 - 08/2018] Research Intern at Tecent, WechatAI, Palo Alto
  • Our dialogue system based Gated Attentive Memory Network ranked Top 2 in DSTC7, and got accepted by AAAI 2019 DSTC7 workshop.
• [09/2008 - 03/2012] Research Assistant at CGCL Lab, Huazhong University of Science and Technology, Wuhan
  • I worked closely with Prof. Xia Xie and Prof. Hai Jin. My research interests are widely around Xen, Xen-ARM virtualization, and distributed computing. We study equipping R language with JVM-based large scale distributed statistical infrastructure, such as Hadoop, Spark.

Work Experience

• [10/2014 - 07/2015] Assistant Researcher, SOHU RDC Lab, Beijing
  • Hadoop, Spark, Data migration, Data security, Distributed machine learning
• [07/2013 - 06/2014] Senior Software Engineer, ZUN CLUB (Startup), Beijing
  • Heterogeneous data intergration, Hotel recommendation system.
• [03/2012 - 06/2013] Software Engineer, Baidu, Beijing
  • Voice Assistant, Mobile Search, Speed optimization, Mobile Anti-Attack
• [08/2010 - 05/2011] Software Engineer Intern, Alibaba, Hangzhou
  • KV Storage, MySQL, Database Replication, Real-time Computing, Distributed Pub/Sub Data Pipeline.

Teaching & Mentoring

• 2019-2020, U of Utah, Mentoring Tarun Sunkaraneni, Bachlor Thesis on ‘Transformer-based Observers in Psychotherapy’
• Fall 2018, U of Utah, TA for CS 6350 Machine Learning
• Spring 2019, U of Utah, TA for CS 6355 Structured Prediction
• Fall 2016, U of Utah, TA for CS 6350 Machine Learning
• 2007-2008, HUST, Leader for Algorithm & Game Team in a student innovation organization, Unique Studio

Academic Service

• PC Member / Reviewers for MRP’2019, ACL’20-22, EMNLP’20-22, NAACL’21, EACL’21, COLING’20, AAAI’19-22, ACL Rolling Review’21-22

Honors and Awards

• [2019] CoNLL Shared Task, Cross-framework meaning representation parsing, ranked 1st(over 16 teams) for AMR parsing task.
• [2018] DSTC7 track1, ranked 2nd for both advising and ubuntu in subtask 5(with external knowledge)
• [2015] Our system ‘Talking Geckos’ winned 1st in a question-answering competition during Fall 2015 NLP class.
• [2010] VMware Cloud Computing Innovation Cup, Top 50
• [2009] Google Andriod Innovative Idea Sharing Award
• [2007] “Computer World” Magazine Scholarship (50 students awarded in China)
• [2007] Microsoft ImagineCup
  • Algorithm Challenge, Top 50
  • Visual Gaming Contest(Project Hoshimi), Top 2 in China, 18th in world final.
• [2006] HUST ACM Programming Contest, Top 3

Curriculum Vitae