Brian Y. Lim

85 papers A* 18A 9B 3C 2Misc 5Journal 32Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR
Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026 A* conf
Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy.
CHI
Yuang Wei, Fei Wang, Yifan Zhang, Brian Y. Lim, Bo Jiang
2026 J jnl
Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy.
CoRR
Yuang Wei, Fei Wang, Yifan Zhang, Brian Y. Lim, Bo Jiang
2026 A* conf
Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments.
CHI
Yifan Zhang, Tianle Ren, Fei Wang, Brian Y. Lim
2026 J jnl
Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments.
CoRR
Yifan Zhang, Tianle Ren, Fei Wang, Brian Y. Lim
2026 A* conf
Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes.
CHI
Haoyang Chen, Jingwen Bai, Fang Tian, Brian Y. Lim
2026 J jnl
Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes.
CoRR
Haoyang Chen, Jingwen Bai, Fang Tian, Brian Y. Lim
2026 J jnl
From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration.
CoRR
Gaole He, Brian Y. Lim
2026 A* conf
Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds.
AAAI
Zhecheng Yu, Yan Lyu, Chen Yang, Tao Chen, Yishuang Zhang, Bo Ling, Peng Wang, Guanyu Gao, Weiwei Wu, Brian Y. Lim
2026 A conf
Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model.
IUI
Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim
2026 J jnl
Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model.
CoRR
Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim
2026 A conf
Transferable XAI: Relating Understanding Across Domains with Explanation Transfer.
IUI
Fei Wang, Yifan Zhang, Brian Y. Lim
2026 J jnl
Transferable XAI: Relating Understanding Across Domains with Explanation Transfer.
CoRR
Fei Wang, Yifan Zhang, Brian Y. Lim
2026 A* conf
iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision.
CHI
Jingwen Bai, Wei Soon Cheong, Philippe Muller, Brian Y. Lim
2026 J jnl
iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision.
CoRR
Jingwen Bai, Wei Soon Cheong, Philippe Muller, Brian Y. Lim
2025 A* conf
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis.
CHI
Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew
2025 J jnl
Enhancing XAI Interpretation through a Reverse Mapping from Insights to Visualizations.
CoRR
Aniket Nuthalapati, Nicholas Hinds, Brian Y. Lim, Qianwen Wang
2025 A conf
Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency.
IUI
Harshavardhan Sunil Abichandani, Wencan Zhang, Brian Y. Lim
2025 A conf
Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation.
Conference on Designing Interactive Systems
Mario Michelessa, Jamie Ng, Christophe Hurter, Brian Y. Lim
2025 J jnl
Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation.
CoRR
Mario Michelessa, Jamie Ng, Christophe Hurter, Brian Y. Lim
2024 J jnl
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality.
IEEE Trans. Vis. Comput. Graph.
Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim
2024 A* conf
Incremental XAI: Memorable Understanding of AI with Incremental Explanations.
CHI
Jessica Y. Bo, Pan Hao, Brian Y. Lim
2024 J jnl
Incremental XAI: Memorable Understanding of AI with Incremental Explanations.
CoRR
Jessica Y. Bo, Pan Hao, Brian Y. Lim
2023 J jnl
Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses.
CoRR
Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew
2023 A conf
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment.
IUI
Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim
2023 J jnl
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment.
CoRR
Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim
2023 A* conf
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions.
CHI
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
2023 J jnl
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions.
CoRR
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
2023 J jnl
Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem.
Big Data Cogn. Comput.
Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Suat Ling Ng, Bogdan Cautis, Carol Anne Hargreaves
2022 A* conf
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning.
CHI
Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
2022 — conf
Grand Challenges for Personal Informatics and AI.
CHI Extended Abstracts
Lena Mamykina, Daniel A. Epstein, Predrag V. Klasnja, Donna Spruijt-Metz, Jochen Meyer, Mary Czerwinski, Tim Althoff, Eun Kyoung Choe, Munmun De Choudhury, Brian Y. Lim
2022 J jnl
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality.
CoRR
Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim
2022 A* conf
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation.
CHI
Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim
2022 — conf
TExSS 22: Transparency and Explanations in Smart Systems.
IUI Companion
Tsvi Kuflik, Jonathan Dodge, Styliani Kleanthous Loizou, Brian Y. Lim, Carina Negreanu, Avital Shulner-Tal, Simone Stumpf
2022 A* conf
Towards Relatable Explainable AI with the Perceptual Process.
CHI
Wencan Zhang, Brian Y. Lim
2021 A* conf
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation.
CHI
Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim
2021 J jnl
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation.
CoRR
Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim
2021 A* conf
Exploiting Explanations for Model Inversion Attacks.
ICCV
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
2021 J jnl
Exploiting Explanations for Model Inversion Attacks.
CoRR
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
2021 J jnl
Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting.
IEEE Trans. Vis. Comput. Graph.
Yan Lyu, Fan Gao, I-Shuen Wu, Brian Y. Lim
2021 J jnl
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation.
CoRR
Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim
2021 J jnl
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations.
CoRR
Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Brian Y. Lim
2021 J jnl
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations.
CoRR
Danding Wang, Wencan Zhang, Brian Y. Lim
2021 J jnl
Show or suppress? Managing input uncertainty in machine learning model explanations.
Artif. Intell.
Danding Wang, Wencan Zhang, Brian Y. Lim
2021 — conf
TExSS: Transparency and Explanations in Smart Systems.
IUI Companion
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
2021 J jnl
Towards Relatable Explainable AI with the Perceptual Process.
CoRR
Wencan Zhang, Brian Y. Lim
2020 A* conf
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations.
CHI
Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim
2020 J jnl
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks.
CoRR
Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
2020 — conf
ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract).
ExSS-ATEC@IUI
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 — conf
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020.
IUI Companion
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 A conf
NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names.
Conference on Designing Interactive Systems (Companion Volume)
Guang Jiang, Mengzhen Shi, Pengcheng An, Ying Su, Yunlong Wang, Brian Y. Lim
2020 J jnl
OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling.
IEEE Trans. Vis. Comput. Graph.
Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, Brian Y. Lim
2020 — ed.
Proceedings of the Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), Cagliari, Italy, March 17, 2020.
ExSS-ATEC@IUI
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 J jnl
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy.
IEEE Trans. Inf. Forensics Secur.
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma
2019 J jnl
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors.
IEEE Trans. Mob. Comput.
Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, Leye Wang
2019 A* conf
Designing Theory-Driven User-Centric Explainable AI.
CHI
Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim
2019 — conf
ExSS: explainable smart systems 2019.
IUI Companion
Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf
2019 J jnl
Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System.
IEEE Trans. Veh. Technol.
Yan Lyu, Victor C. S. Lee, Joseph Kee-Yin Ng, Brian Y. Lim, Kai Liu, Chao Chen
2019 B conf
Hierarchical Multi-Task Learning for Healthy Drink Classification.
IJCNN
Homin Park, Homanga Bharadhwaj, Brian Y. Lim
2019 J jnl
How Does a Nation Walk?: Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Brian Y. Lim, Judy Kay, Weilong Liu
2019 — conf
The Human(s) in the Loop - Bringing AI and HCI Together.
INTERACT (4)
Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale
2019 — conf
Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
IUI Workshops
Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang
2018 — conf
Interpreting Intelligibility under Uncertain Data Imputation.
IUI Workshops
Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam
2018 A conf
RecGAN: recurrent generative adversarial networks for recommendation systems.
RecSys
Homanga Bharadhwaj, Homin Park, Brian Y. Lim
2018 J jnl
TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating.
Proc. ACM Hum. Comput. Interact.
Kai Lukoff, Taoxi Li, Yuan Zhuang, Brian Y. Lim
2018 A* conf
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda.
CHI
Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli
2017 — conf
Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging.
CCHI
Brian Y. Lim, Xinni Chng, Shengdong Zhao
2016 A* conf
Differential Location Privacy for Sparse Mobile Crowdsensing.
ICDM
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma
2015 — —
Improving Understanding and Trust with Intelligibility in Context-Aware Applications.
Brian Y. Lim
2013 — conf
Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application.
HCI (5)
Brian Y. Lim, Anind K. Dey
2012 Misc conf
Software provision in smart environment based on fuzzy logic intelligibility.
UbiComp
Charles Gouin-Vallerand, Brian Y. Lim, Anind K. Dey
2012 Misc conf
Weights of evidence for intelligible smart environments.
UbiComp
Brian Y. Lim, Anind K. Dey
2011 — conf
Design of an intelligible mobile context-aware application.
Mobile HCI
Brian Y. Lim, Anind K. Dey
2011 Misc conf
Investigating intelligibility for uncertain context-aware applications.
UbiComp
Brian Y. Lim, Anind K. Dey
2011 B conf
Pediluma: motivating physical activity through contextual information and social influence.
TEI
Brian Y. Lim, Aubrey Shick, Chris Harrison, Scott E. Hudson
2010 — conf
Improving trust in context-aware applications with intelligibility.
UbiComp (Adjunct Papers)
Brian Y. Lim
2010 B conf
Show me a good time: using content to provide activity awareness to collaborators with activityspotter.
GROUP
Brian Y. Lim, Oliver Brdiczka, Victoria Bellotti
2010 Misc conf
Toolkit to support intelligibility in context-aware applications.
UbiComp
Brian Y. Lim, Anind K. Dey
2009 Misc conf
Assessing demand for intelligibility in context-aware applications.
UbiComp
Brian Y. Lim, Anind K. Dey
2009 — conf
Supporting intercultural collaboration with dynamic feedback systems: preliminary evidence from a creative design task.
CHI Extended Abstracts
E. Ilana Diamant, Brian Y. Lim, Andy Echenique, Gilly Leshed, Susan R. Fussell
2009 A* conf
Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe.
CHI
Chris Harrison, Brian Y. Lim, Aubrey Shick, Scott E. Hudson
2007 A conf
Context-Aware Framework for Spontaneous Interaction of Services in Multiple Heterogeneous Spaces.
ICME
Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng
2007 A conf
Context-Aware Informative Display.
ICME
Manli Zhu, Daqing Zhang, Jun Zhang, Brian Y. Lim
2007 C conf
Spontaneous Interaction Framework for Thin-Client Access to Services.
UIC
Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng, Mounir Mokhtari
2007 C conf
Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments.
ICOST
Daqing Zhang, Brian Y. Lim, Manli Zhu, Song Zheng