Context-Aware Framework for Spontaneous Interaction of Services in Multiple Heterogeneous Spaces. - Brian Y. Lim; Daqing Zhang 001; Manli Zhu; Song Zheng (ICME, 2007)

Context-Aware Informative Display. - Manli Zhu; Daqing Zhang 001; Jun Zhang; Brian Y. Lim (ICME, 2007)

Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments. - Daqing Zhang 001; Brian Y. Lim; Manli Zhu; Song Zheng (ICOST, 2007)

Spontaneous Interaction Framework for Thin-Client Access to Services. - Brian Y. Lim; Daqing Zhang 001; Manli Zhu; Song Zheng; Mounir Mokhtari (UIC, 2007)

Supporting intercultural collaboration with dynamic feedback systems: preliminary evidence from a creative design task. - E. Ilana Diamant; Brian Y. Lim; Andy Echenique; Gilly Leshed; Susan R. Fussell (CHI Extended Abstracts, 2009)

Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe. - Chris Harrison 001; Brian Y. Lim; Aubrey Shick; Scott E. Hudson (CHI, 2009)

Why and why not explanations improve the intelligibility of context-aware intelligent systems. - Brian Y. Lim; Anind K. Dey; Daniel Avrahami (CHI, 2009)

Assessing demand for intelligibility in context-aware applications. - Brian Y. Lim; Anind K. Dey (UbiComp, 2009)

Show me a good time: using content to provide activity awareness to collaborators with activityspotter. - Brian Y. Lim; Oliver Brdiczka; Victoria Bellotti (GROUP, 2010)

Improving trust in context-aware applications with intelligibility. - Brian Y. Lim (UbiComp (Adjunct Papers), 2010)

Toolkit to support intelligibility in context-aware applications. - Brian Y. Lim; Anind K. Dey (UbiComp, 2010)

Investigating intelligibility for uncertain context-aware applications. - Brian Y. Lim; Anind K. Dey (UbiComp, 2011)

Design of an intelligible mobile context-aware application. - Brian Y. Lim; Anind K. Dey (Mobile HCI, 2011)

Pediluma: motivating physical activity through contextual information and social influence. - Brian Y. Lim; Aubrey Shick; Chris Harrison 001; Scott E. Hudson (TEI, 2011)

Software provision in smart environment based on fuzzy logic intelligibility. - Charles Gouin-Vallerand; Brian Y. Lim; Anind K. Dey (UbiComp, 2012)

Weights of evidence for intelligible smart environments. - Brian Y. Lim; Anind K. Dey (UbiComp, 2012)

Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application. - Brian Y. Lim; Anind K. Dey (HCI (5), 2013)

Improving Understanding and Trust with Intelligibility in Context-Aware Applications. - Brian Y. Lim (2015)

Differential Location Privacy for Sparse Mobile Crowdsensing. - Leye Wang; Daqing Zhang 001; Dingqi Yang; Brian Y. Lim; Xiaojuan Ma (ICDM, 2016)

Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging. - Brian Y. Lim; Xinni Chng; Shengdong Zhao 001 (CCHI, 2017)

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. - Ashraf M. Abdul; Jo Vermeulen; Danding Wang; Brian Y. Lim; Mohan S. Kankanhalli (CHI, 2018)

Interpreting Intelligibility under Uncertain Data Imputation. - Brian Y. Lim; Danding Wang; Tze Ping Loh; Kee Yuan Ngiam (IUI Workshops, 2018)

RecGAN: recurrent generative adversarial networks for recommendation systems. - Homanga Bharadhwaj; Homin Park; Brian Y. Lim (RecSys, 2018)

TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating. - Kai Lukoff; Taoxi Li; Yuan Zhuang; Brian Y. Lim (Proc. ACM Hum. Comput. Interact., 2018)

Designing Theory-Driven User-Centric Explainable AI. - Danding Wang; Qian Yang 004; Ashraf M. Abdul; Brian Y. Lim (CHI, 2019)

Hierarchical Multi-Task Learning for Healthy Drink Classification. - Homin Park; Homanga Bharadhwaj; Brian Y. Lim (IJCNN, 2019)

The Human(s) in the Loop - Bringing AI and HCI Together. - Tom Gross; Kori Inkpen; Brian Y. Lim; Michael Veale (INTERACT (4), 2019)

ExSS: explainable smart systems 2019. - Brian Y. Lim; Advait Sarkar; Alison Smith-Renner; Simone Stumpf (IUI Companion, 2019)

Why these Explanations? Selecting Intelligibility Types for Explanation Goals. - Brian Y. Lim; Qian Yang 004; Ashraf M. Abdul; Danding Wang (IUI Workshops, 2019)

How Does a Nation Walk?: Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns. - Brian Y. Lim; Judy Kay; Weilong Liu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. - Jiangtao Wang 001; Feng Wang 040; Yasha Wang; Daqing Zhang 001; Brian Y. Lim; Leye Wang (IEEE Trans. Mob. Comput., 2019)

Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System. - Yan Lyu; Victor C. S. Lee; Joseph Kee-Yin Ng; Brian Y. Lim; Kai Liu 001; Chao Chen 004 (IEEE Trans. Veh. Technol., 2019)

NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names. - Guang Jiang; Mengzhen Shi; Pengcheng An; Ying Su; Yunlong Wang 005; Brian Y. Lim (Conference on Designing Interactive Systems (Companion Volume), 2020)

COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. - Ashraf M. Abdul; Christian von der Weth; Mohan S. Kankanhalli; Brian Y. Lim (CHI, 2020)

ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (IUI Companion, 2020)

ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (ExSS-ATEC@IUI, 2020)

Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. - Wencan Zhang; Mariella Dimiccoli; Brian Y. Lim (CoRR, 2020)

Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy. - Leye Wang; Daqing Zhang 001; Dingqi Yang; Brian Y. Lim; Xiao Han 001; Xiaojuan Ma (IEEE Trans. Inf. Forensics Secur., 2020)

OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. - Yan Lyu; Xu Liu 014; Hanyi Chen; Arpan Mangal; Kai Liu 001; Chao Chen 004; Brian Y. Lim (IEEE Trans. Vis. Comput. Graph., 2020)

Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. - Samuel Rhys Cox; Yunlong Wang 005; Ashraf M. Abdul; Christian von der Weth; Brian Y. Lim (CHI, 2021)

Exploiting Explanations for Model Inversion Attacks. - Xuejun Zhao; Wencan Zhang; Xiaokui Xiao; Brian Y. Lim (ICCV, 2021)

TExSS: Transparency and Explanations in Smart Systems. - 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 (IUI Companion, 2021)

Show or suppress? Managing input uncertainty in machine learning model explanations. - Danding Wang; Wencan Zhang; Brian Y. Lim (Artif. Intell., 2021)

SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. - Yunlong Wang 005; Jiaying Liu 010; Homin Park; Jordan Schultz-McArdle; Stephanie Rosenthal; Brian Y. Lim (CoRR, 2021)

Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting. - Yan Lyu; Fan Gao; I-Shuen Wu; Brian Y. Lim (IEEE Trans. Vis. Comput. Graph., 2021)

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. - Yunlong Wang 005; Priyadarshini Venkatesh; Brian Y. Lim (CHI, 2022)

Grand Challenges for Personal Informatics and AI. - Lena Mamykina; Daniel A. Epstein; Predrag V. Klasnja; Donna Sprujt-Metz; Jochen Meyer 001; Mary Czerwinski; Tim Althoff; Eun Kyoung Choe; Munmun De Choudhury; Brian Y. Lim (CHI Extended Abstracts, 2022)

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. - Wencan Zhang; Mariella Dimiccoli; Brian Y. Lim (CHI, 2022)

Towards Relatable Explainable AI with the Perceptual Process. - Wencan Zhang; Brian Y. Lim (CHI, 2022)

TExSS 22: Transparency and Explanations in Smart Systems. - Tsvi Kuflik; Jonathan Dodge; Styliani Kleanthous Loizou; Brian Y. Lim; Carina Negreanu; Avital Shulner-Tal; Simone Stumpf (IUI Companion, 2022)

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. - Yunlong Wang 005; Shuyuan Shen; Brian Y. Lim (CHI, 2023)

IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. - Hitoshi Matsuyama; Nobuo Kawaguchi; Brian Y. Lim (IUI, 2023)

Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem. - Mario Michelessa; Christophe Hurter; Brian Y. Lim; Jamie Suat Ling Ng; Bogdan Cautis; Carol Anne Hargreaves (Big Data Cogn. Comput., 2023)

Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses. - Brian Y. Lim; Joseph P. Cahaly; Chester Y. F. Sng; Adam Chew (CoRR, 2023)

Incremental XAI: Memorable Understanding of AI with Incremental Explanations. - Jessica Y. Bo; Pan Hao; Brian Y. Lim (CHI, 2024)

IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. - Yan Lyu; Hangxin Lu; Min Kyung Lee; Gerhard Schmitt; Brian Y. Lim (IEEE Trans. Vis. Comput. Graph., 2024)

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation. - Mario Michelessa; Jamie Ng; Christophe Hurter; Brian Y. Lim (Conference on Designing Interactive Systems, 2025)

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis. - Brian Y. Lim; Joseph P. Cahaly; Chester Y. F. Sng; Adam Chew (CHI, 2025)

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency. - Harshavardhan Sunil Abichandani; Wencan Zhang; Brian Y. Lim (IUI, 2025)