Xin Qian

Ph.D. Candidate, Information Studies, University of Maryland

Email: xinq [at] umd [dot] edu

Hi! My name is Xin. My thesis topic is on dialog interaction from historical personal collections, advised by Douglas W. Oard.

I am excited to join ASAPP, inc. as a Machine Learning Research Intern, mentored by Ramya Ramakrishnan in summer 2022. I was also fortunate to intern at Adobe Research in 2019 and 2020, on ML techniques for visual analytics, mentored by Eunyee Koh, Ryan Rossi et al. Prior to candidacy, it was my pleasure contributing to computational sensemaking and creativity led by Joel Chan from HCIL.

Previously, I obtained a MS in Language Technologies from Carnegie Mellon University (2018) and a BEng in Software Engineering from Chu Kochen Honors College, Zhejiang University (2016).

Papers

• Conversational Interaction with Historical Figures: What’s it good for?
  Xin Qian, Douglas W. Oard, and Joel Chan.
  iConference'22. [PDF] [Presentation]
  


• Learning to Recommend Visualizations from Data.
  Xin Qian, Ryan Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, and Joel Chan.
  KDD'21 (Research track). [PDF] [Presentation] [Corpus] [Arxiv, Sept 2020]
  


• Personalized Visualization Recommendation.
  Xin Qian*, Ryan Rossi*, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, and Nesreen K. Ahmed.
  Transactions on the Web. Feb 2022.
  


• ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives.
  Jian Zhao, Shenyu Xu, Senthil Chandrasegaran, Chris Bryan, Fan Du, Aditi Mishra, Xin Qian, Yiran Li, Kwan-Liu Ma.
  IEEE Transactions on Visualization and Computer Graphics. Sept 2021.
  


• Generating Accurate Caption Units For Figure Captioning.
  Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan Rossi, Sana Malik, and Tak Yeon Lee.
  TheWebConf'21 (WWW). [PDF] [Presentation] [Corpus]
  


• Opening Up the Black Box of Scholarly Synthesis: Intermediate products, processes, and tools.
  Xin Qian, Katrina Fenlon, Wayne Lutters, and Joel Chan.
  ASIS&T'20. [Blogpost] [Presentation] [HCIL Symposium]


• A Formative Study on Designing Accurate and Natural Figure Captioning Systems.
  Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, and Joel Chan.
  CHI'20 (Late Breaking Works). [PDF] [Corpus]


• Complex Factoid Question Answering with a Free-Text Knowledge Graph.
  Chen Zhao, Chenyan Xiong, Xin Qian, and Jordan Boyd-Graber.
  TheWebConf'20 (WWW). [Presentation]
  Contribution: Local knowledge graph construction and edge classification on two benchmark datasets.


• Beyond iTunes for Papers: Redefining the unit of interaction in literature review tools.
  Xin Qian, Matt J. Erhart, Aniket Kittur, Wayne G. Lutters, and Joel Chan.
  CSCW'19 (Extended Abstract). [PDF] [Video]


• Interleaved Evaluation for Retrospective Summarization and Prospective Notification on Document Streams.
  Xin Qian, Jimmy Lin, and Adam Roegiest.
  SIGIR'16. Oral presentation.

The Google Scholar profile also includes technical reports.