Tianyi Li (李天一)
PhD Candidate
Department of Computer Science
Virginia Tech
Blacksburg, VA 24061

Email: tianyili[at]vt[dot]edu
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I am seeking a tenure-track faculty or industry research position. Please contact me at tianyili[at]vt[dot]edu.

About Me

I’m a PhD candidate in Computer Science at Virginia Tech. I work with Dr. Chris North and Dr. Kurt Luther on creating new technologies to support complex sensemaking. I'm a member of the InfoVis Lab and the Crowd Intelligence Lab, and affiliated with the Discovery Analytics Center and the Center for Human-Computer Interaction.

My research interests include human-computer interaction (HCI), collective intelligence, visual analytics, and explainable AI. I create technologies to coordinate human and artificial intelligence on a large scale to make sense of copious data and uncover the hidden plots.

My dissertation work explores the analytical potential of the crowd -- that is, how to modularize the complex sensemaking processes to support scalable and credible analysis on large text data. Drawing on my training in Computer Science and HCI, I build and evaluate tools to support crowdsourced sensemaking, and combine quantitative and qualitative methods to study crowd performance in sensemaking tasks, probing how they succeed or fail.

I interned at Informatica and Cloudera during my graduate studies. These industry research experience expand my research interests to explore the role of artificial intelligence (AI) in sensemaking processes and beyond. I will intern at Microsoft Research in summer 2019 to continue my research in human-AI interaction.

Prior to VT, I studied Computer Science and received my bachelor's degree from the University of Hong Kong in 2015. I also studied at UC San Diego and Shanghai Jiao Tong University as an exchange student.

News
  • July 30, 2019 -- My first-author paper on errors and bottlenecks in crowdsourced sensemaking is accepted by CSCW 2019! The title is: Dropping the Baton? Understanding Errors and Bottlenecks in a Crowdsourced Sensemaking Pipeline
  • July 22, 2019 -- I'm accepted for the ACM CSCW2019 Doctoral Consortium!
  • June 13, 2019 -- I will be a student volunteer at CSCW 2019!
  • June 3, 2019 -- I will start a summer internship at Microsoft AI and Research!
  • I will be a Poster & Demo Co-Chair for IUI 2020!
  • Mar 16-20, 2019 -- I attended and presented at IUI 2019, Los Angeles, CA
  • Mar 2, 2019 -- I attended and presented at Aspirations event held at Blacksburg, VA
  • Feb 19, 2019 -- I'm featured on DAC Student Spotlight
  • Jan 31, 2019 -- I'm awarded IUI 2019 Student Travel Grant, and will be a student volunteer at IUI!
  • Dec 8, 2018 -- My first-authored paper and demo about my internship project at Informatica is accepted by IUI! The title is What data should I protect?: recommender and planning support for data security analysts.
  • Nov 2-8, 2018 -- I attended and presented at CSCW 2018, Hudson River, NJ
  • Aug 8, 2018 -- My first-authored paper on crowdsourced sensemaking is accepted by CSCW! The title is CrowdIA: Solving Mysteries with Crowdsourced Sensemaking
  • Mar 26, 2018 -- My first-authored paper on context slices is accepted by Sensemaking for CHI2018, and selected for presentation (21% acceptance rate)! The title is CrowdIA: Solving Mysteries with Crowdsourced Sensemaking
  • April 7-8, 2017 -- I'm selected and funded to pariticpate 2017 CRA-W Grad Cohort Workshop at Washington DC
Publications
Academic Papers
  1. Tianyi Li, Gregorio Convertino, Ranjeet Kumar Tayi, and Shima Kazerooni. 2019. What Data Should I Protect? Recommender and Planning Support for Data Security Analysts. In Proceedings of 24th International Conference on Intelligent User Interfaces, Marina del Ray, CA, USA, March 17–20, 2019 (IUI ’19), 13 pages.(25% acceptance rate)
  2. Tianyi Li, Gregorio Convertino, Ranjeet Kumar Tayi, Shima Kazerooni, and Gary Patterson. 2019. Adding intelligence to a data security analysis system: recommendation and planning support. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion (IUI '19). ACM, New York, NY, USA, 69-70.
  3. Tianyi Li, Kurt Luther, and Chris North. 2018. CrowdIA: Solving Mysteries with Crowdsourced Sensemaking. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 105 (November 2018), 29 pages. (25.6% acceptance rate)
  4. Tianyi Li, Gregorio Convertino, Wenbo Wang, Haley Most, Tristan Zajonc and Yi-Hsun Tsai. HyperTuner: Visual Analytics for Hyperparameter Tuning by Professionals. IEEEVIS 2018 Workshop on Machine Learning from User Interaction for Visualization and Analytics, Berlin, Germany, 2018.
  5. Tianyi Li, Asmita Shah, Kurt Luther, and Chris North. Crowdsourcing Intelligence Analysis with Context Slices. CHI 2018 Workshop on Sensemaking in a Senseless World, Montréal, Canada, 2018. (21% acceptance rate for full presentations)
Patents
  1. US Patent 15/948310: Method, apparatus, and computer-readable medium for data protection simulation and optimization in a computer network.
  2. (under review) Hyperparameter tuning using visual analytics in a data science platform
Service and reviewing
  • Poster & Demo Co-Chair of IUI 2020.
  • Program Committee (PC) of the RecSys 2019.
  • Associate Chair (AC) on the Program Committee (PC) for CHI 2019 Late Breaking Work (LBW).
  • Reviewer of Creativity & Cognition 2019 Papers
  • Reviewer of CHI 2019 Papers
  • Reviewer of VIS 2018 Machine Learning from User Interaction for Visualization and Analytics Papers
  • Reviewer of RecSys 2018 Papers
  • Reviewer of CSCW 2018 Second Cycle
  • Reviewer of VIS 2018 InfoVis