COM2-03-49
660 11084

www.comp.nus.edu.sg/~brianlim

Brian LIM

Associate Professor

  • B.S. (Engineering Physics, Minor: Computer Science, Cornell University)
  • Ph.D. (Human-Computer Interaction, Carnegie Mellon University)
  • M.S. (Human-Computer Interaction, Carnegie Mellon University)

Brian Lim is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS). He received a B.S. degree in engineering physics from Cornell University, Ithaca, New York, U.S.A., in 2006, and a Ph.D. degree in human-computer interaction from Carnegie Mellon University, Pittsburgh, U.S.A., in 2012. He leads the NUS Ubicomp Lab which focuses on research on explainable AI, human-computer interaction, ubiquitous computing, and applied machine learning for user-centric and trustworthy systems. His research focuses on designing, developing and evaluating AI-driven technologies to address societal challenges in healthcare, wellness and urban sustainability.

RESEARCH AREAS

Media
  • Human-Computer Interaction
  • Ubiquitous Computing
  • Visualisation

RESEARCH INTERESTS

  • Explainable Artificial Intelligence

  • Human-Computer Interaction

  • Ubiquitous Computing

  • Healthcare Analytics and Apps

  • Context-Aware Computing

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

  • Wencan Zhang and Brian Y. Lim. 2022. Towards Relatable Explainable AI with the Perceptual Process. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). ACM, New York, NY, USA, 1–16. Best Paper Award (Top 1%).
  • Yunlong Wang, Priyadarshini Venkatesh, and Brian Y. Lim. 2022. Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). ACM, New York, NY, USA, 1–16.
  • Wencan Zhang, Mariella Dimiccoli, and Brian Y. Lim. 2022. Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). ACM, New York, NY, USA, 1–16.
  • Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, and Brian Y. Lim. 2021. Exploiting Explanations for Model Inversion Attacks. IEEE/CVF International Conference on Computer Vision (ICCV ’21), pp. 662-672.
  • Lim, B. Y., Dey, A. K., and Avrahami, D. 2009. Why and why not explanations improve the intelligibility of context-aware intelligent systems. In Proceedings of the 27th international Conference on Human Factors in Computing Systems Boston, MA, USA, April 04 - 09, 2009. CHI '09. ACM, New York, NY, 2119-2128. Best long paper nomination.
  • Sam Rhys Cox, Yunlong Wang, Ashraf Abdul, Christian von der Weth, and Brian Y. Lim. 2021. Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). ACM, New York, NY, USA, Article 393, 1–35.
  • Yan Lyu, Fan Gao, I-Shuen Wu and Brian Y. Lim. Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 27, no. 4, pp. 2369-2384.
  • Danding Wang, Wencan Zhang, and Brian Y. Lim. 2021. Show or suppress? Managing input uncertainty in machine learning model explanations. Artificial Intelligence, 294, 103456.
  • Ashraf Abdul, Christian von der Weth, Mohan Kankanhalli, and Brian Y. Lim. 2020. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM, New York, NY, USA, 1–14.
  • Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, and Brian Y. Lim. 2020. OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 26, no. 1, pp. 811-821.
  • Brian Y. Lim, Judy Kay, and Weilong Liu. 2019. How does a nation walk? Interpreting large-scale step count activity with weekly streak patterns. Proceedings of the ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 3, Issue 2, Article 57 (June 2019), 46 pages. Distinguished Paper Award (Top 6 out of 166 accepted papers).
  • Danding Wang, Qian Yang, Ashraf Abdul, and Brian Y. Lim. 2019. Designing Theory-Driven User-Centric Explainable AI. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 601, 1–15.
  • Ashraf Mohammed, Jo Vermeulen, Danding Wang, and Brian Y. Lim. 2018. Towards Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. Accepted to CHI 2018 Conference on Human Factors in Computing Systems.
  • Lim, B. Y. and Dey, A. K. 2011. Investigating Intelligibility for Uncertain Context-Aware Applications. In Proceedings of the 13th international conference on Ubiquitous computing UbiComp '11. ACM, New York, NY, USA, 415-424.
  • Lim, B. Y. and Dey, A. K. 2010. Toolkit to Support Intelligibility in Context-Aware Applications. In Proceedings of the 12th ACM international Conference on Ubiquitous Computing Copenhagen, Denmark, September 26 - 29, 2010. Ubicomp '10. ACM, New York, NY, 13-22.
  • Lim, B. Y. and Dey, A. K. 2009. Assessing Demand for Intelligibility in Context-Aware Applications. In Proceedings of the 11th international Conference on Ubiquitous Computing Orlando, Florida, USA, September 30 - October 03, 2009. Ubicomp '09. ACM, New York, NY, 195-204.

AWARDS & HONOURS

  • 2022: CHI'22 Best Paper Award (Top 1%)

  • 2020: IMWUT Distinguished Paper Award (Top 6 out of 166 accepted papers in 2019)

  • 2016: MOE Science Mentorship Programme - Outstanding Mentor Award

  • 2009: CHI'09 Best Long Paper Nomination (Top 5%)

  • 2007: A*STAR NSS(Ph.D.) Scholarship

  • 2003: A*STAR NSS(BS) Scholarship

  • 2000: International Physics Olympiad - Honorary Mention

  • 1999: Singapore Physics Oympiad - Honourable Mention

MODULES TAUGHT

CS3244
Machine Learning
CS4249
Phenomena and Theories of Human-Computer Interaction

 

In the News

20220512_Google_Res_Scholar_Award_Brian
12 May 2022
12 May 2022 — NUS Computing Assistant Professor Brian Lim has received the Google Research Scholar Award, which aims to support world-class research ...
30 April 2022
30 April 2022 — NUS Computing Assistant Professor Brian Lim and Computer Science PhD student Zhang Wencan have won the ...

Knowledge@Computing

28 April 2022
Imagine if Amazon Alexa could recommend a tub of ice cream or Siri could play a cheerful song if they ...
4 June 2021
How can you get your next great idea? One way is to ask other people, and many of them, even ...
30 April 2020
These days, artificial intelligence (AI) is everywhere we look. It’s what powers predictive searches on Google, enables Spotify and Amazon ...