Brian Y. Lim

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 44

Top Topics

Location Privacy

Data Imputation

Highly Heterogeneous

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. IUI (2023)
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. CHI (2023)
Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew
Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses. CoRR (2023)
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. CoRR (2023)
Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. CoRR (2023)
Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis, Carol Anne Hargreaves
Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem. Big Data Cogn. Comput. 7 (3) (2023)
Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. CHI (2022)
Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning. CoRR (2022)
Wencan Zhang, Brian Y. Lim
Towards Relatable Explainable AI with the Perceptual Process. CHI (2022)
Tsvi Kuflik, Jonathan Dodge, Styliani Kleanthous Loizou, Brian Y. Lim, Carina Negreanu, Avital Shulner Tal, Simone Stumpf
TExSS 22: Transparency and Explanations in Smart Systems. IUI Companion (2022)
Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. CHI (2022)
Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. CoRR (2022)
Alison Marie Smith-Renner, Styliani Kleanthous Loizou, Jonathan Dodge, Casey Dugan, Min Kyung Lee, Brian Y. Lim, Tsvi Kuflik, Advait Sarkar, Avital Shulner Tal, Simone Stumpf
TExSS: Transparency and Explanations in Smart Systems. IUI Companion (2021)
Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. CoRR (2021)
Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. CoRR (2021)
Yan Lyu, Fan Gao, I-Shuen Wu, Brian Y. Lim
Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Danding Wang, Wencan Zhang, Brian Y. Lim
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. CoRR (2021)
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
Exploiting Explanations for Model Inversion Attacks. CoRR (2021)
Danding Wang, Wencan Zhang, Brian Y. Lim
Show or suppress? Managing input uncertainty in machine learning model explanations. Artif. Intell. 294 (2021)
Wencan Zhang, Brian Y. Lim
Towards Relatable Explainable AI with the Perceptual Process. CoRR (2021)
Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Brian Y. Lim
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. CoRR (2021)
Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. CHI (2021)
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
Exploiting Explanations for Model Inversion Attacks. ICCV (2021)
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner Tal
ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). ExSS-ATEC@IUI (2020)
Guang Jiang, Mengzhen Shi, Pengcheng An, Ying Su, Yunlong Wang, Brian Y. Lim
NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names. Conference on Designing Interactive Systems (Companion Volume) (2020)
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. CoRR (2020)
Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, Brian Y. Lim
OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner Tal
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. IUI Companion (2020)
Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. CHI (2020)
Brian Y. Lim, Judy Kay, Weilong Liu
How Does a Nation Walk?: Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (2) (2019)
Homin Park, Homanga Bharadhwaj, Brian Y. Lim
Hierarchical Multi-Task Learning for Healthy Drink Classification. IJCNN (2019)
Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, Leye Wang
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. IEEE Trans. Mob. Comput. 18 (9) (2019)
Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang
Why these Explanations? Selecting Intelligibility Types for Explanation Goals. IUI Workshops (2019)
Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf
ExSS: explainable smart systems 2019. IUI Companion (2019)
Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim
Designing Theory-Driven User-Centric Explainable AI. CHI (2019)
Yan Lyu, Victor C. S. Lee, Joseph Kee-Yin Ng, Brian Y. Lim, Kai Liu, Chao Chen
Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System. IEEE Trans. Veh. Technol. 68 (10) (2019)
Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale
The Human(s) in the Loop - Bringing AI and HCI Together. INTERACT (4) (2019)
Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. CHI (2018)
Homanga Bharadhwaj, Homin Park, Brian Y. Lim
RecGAN: recurrent generative adversarial networks for recommendation systems. RecSys (2018)
Kai Lukoff, Taoxi Li, Yuan Zhuang, Brian Y. Lim
TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam
Interpreting Intelligibility under Uncertain Data Imputation. IUI Workshops (2018)
Brian Y. Lim, Xinni Chng, Shengdong Zhao
Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging. CCHI (2017)
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma
Differential Location Privacy for Sparse Mobile Crowdsensing. ICDM (2016)
Brian Y. Lim, Anind K. Dey
Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application. HCI (5) (2013)
Brian Y. Lim, Anind K. Dey
Weights of evidence for intelligible smart environments. UbiComp (2012)
Charles Gouin-Vallerand, Brian Y. Lim, Anind K. Dey
Software provision in smart environment based on fuzzy logic intelligibility. UbiComp (2012)
Brian Y. Lim, Anind K. Dey
Design of an intelligible mobile context-aware application. Mobile HCI (2011)
Brian Y. Lim, Aubrey Shick, Chris Harrison, Scott E. Hudson
Pediluma: motivating physical activity through contextual information and social influence. Tangible and Embedded Interaction (2011)
Brian Y. Lim, Anind K. Dey
Investigating intelligibility for uncertain context-aware applications. UbiComp (2011)
Brian Y. Lim, Anind K. Dey
Toolkit to support intelligibility in context-aware applications. UbiComp (2010)
Brian Y. Lim, Oliver Brdiczka, Victoria Bellotti
Show me a good time: using content to provide activity awareness to collaborators with activityspotter. GROUP (2010)
Brian Y. Lim
Improving trust in context-aware applications with intelligibility. UbiComp (Adjunct Papers) (2010)
E. Ilana Diamant, Brian Y. Lim, Andy Echenique, Gilly Leshed, Susan R. Fussell
Supporting intercultural collaboration with dynamic feedback systems: preliminary evidence from a creative design task. CHI Extended Abstracts (2009)
Brian Y. Lim, Anind K. Dey
Assessing demand for intelligibility in context-aware applications. UbiComp (2009)
Chris Harrison, Brian Y. Lim, Aubrey Shick, Scott E. Hudson
Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe. CHI (2009)
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
explanations improve the intelligibility of context-aware intelligent systems. CHI (2009)
Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng, Mounir Mokhtari
Spontaneous Interaction Framework for Thin-Client Access to Services. UIC (2007)
Daqing Zhang, Brian Y. Lim, Manli Zhu, Song Zheng
Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments. ICOST (2007)
Manli Zhu, Daqing Zhang, Jun Zhang, Brian Y. Lim
Context-Aware Informative Display. ICME (2007)
Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng
Context-Aware Framework for Spontaneous Interaction of Services in Multiple Heterogeneous Spaces. ICME (2007)