| 2026 | AAAI | Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds. | Zhecheng Yu, Yan Lyu, Chen Yang, Tao Chen, Yishuang Zhang, Bo Ling, Peng Wang, Guanyu Gao, Weiwei Wu, Brian Y. Lim |
| 2026 | CHI | iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision. | Jingwen Bai, Wei Soon Cheong, Philippe Muller, Brian Y. Lim |
| 2026 | CHI | Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes. | Haoyang Chen, Jingwen Bai, Fang Tian, Brian Y. Lim |
| 2026 | CHI | Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy. | Yuang Wei, Fei Wang, Yifan Zhang, Brian Y. Lim, Bo Jiang |
| 2026 | CHI | Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments. | Yifan Zhang, Tianle Ren, Fei Wang, Brian Y. Lim |
| 2026 | IUI | Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model. | Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim |
| 2026 | IUI | Transferable XAI: Relating Understanding Across Domains with Explanation Transfer. | Fei Wang, Yifan Zhang, Brian Y. Lim |
| 2025 | CHI | 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 |
| 2025 | IUI | Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency. | Harshavardhan Sunil Abichandani, Wencan Zhang, Brian Y. Lim |
| 2024 | CHI | Incremental XAI: Memorable Understanding of AI with Incremental Explanations. | Jessica Y. Bo, Pan Hao, Brian Y. Lim |
| 2023 | CHI | RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. | Yunlong Wang, Shuyuan Shen, Brian Y. Lim |
| 2023 | IUI | IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. | Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim |
| 2022 | CHI | Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. | Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim |
| 2022 | CHI | Grand Challenges for Personal Informatics and AI. | 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 | CHI | Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. | Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim |
| 2022 | CHI | Towards Relatable Explainable AI with the Perceptual Process. | Wencan Zhang, Brian Y. Lim |
| 2022 | IUI | 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 |
| 2021 | CHI | Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. | Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim |
| 2021 | ICCV | Exploiting Explanations for Model Inversion Attacks. | Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim |
| 2021 | IUI | 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 |
| 2020 | CHI | COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. | Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim |
| 2020 | IUI | 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 |
| 2020 | IUI | 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 |
| 2019 | CHI | Designing Theory-Driven User-Centric Explainable AI. | Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim |
| 2019 | IJCNN | Hierarchical Multi-Task Learning for Healthy Drink Classification. | Homin Park, Homanga Bharadhwaj, Brian Y. Lim |
| 2019 | Interact | The Human(s) in the Loop - Bringing AI and HCI Together. | Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale |
| 2019 | IUI | ExSS: explainable smart systems 2019. | Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf |
| 2019 | IUI | Why these Explanations? Selecting Intelligibility Types for Explanation Goals. | Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang |
| 2018 | CHI | 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 |
| 2018 | IUI | Interpreting Intelligibility under Uncertain Data Imputation. | Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam |
| 2018 | RecSys | RecGAN: recurrent generative adversarial networks for recommendation systems. | Homanga Bharadhwaj, Homin Park, Brian Y. Lim |
| 2016 | ICDM | Differential Location Privacy for Sparse Mobile Crowdsensing. | Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma |
| 2013 | HCI | Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application. | Brian Y. Lim, Anind K. Dey |
| 2011 | TEI | Pediluma: motivating physical activity through contextual information and social influence. | Brian Y. Lim, Aubrey Shick, Chris Harrison, Scott E. Hudson |
| 2010 | Group | Show me a good time: using content to provide activity awareness to collaborators with activityspotter. | Brian Y. Lim, Oliver Brdiczka, Victoria Bellotti |
| 2009 | CHI | 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 |
| 2009 | CHI | Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe. | Chris Harrison, Brian Y. Lim, Aubrey Shick, Scott E. Hudson |
| 2009 | CHI | Untitled record | Brian Y. Lim, Anind K. Dey, Daniel Avrahami |
| 2007 | ICOST | Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments. | Daqing Zhang, Brian Y. Lim, Manli Zhu, Song Zheng |
| 2007 | UIC | Spontaneous Interaction Framework for Thin-Client Access to Services. | Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng, Mounir Mokhtari |