Brian Y. Lim
Associate Professor
Leads the NUS Ubicomp Lab, designing explainable AI and human-centred AI tools for healthcare, wellness and urban sustainability.
Brian Y. Lim's lab at NUS works on human-AI collaboration & trust, accessibility, health & wellbeing and trustworthy & safe ML. 16 papers since 2023, 8 at top venues, mostly CHI and IUI. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 50%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 5 · collecting
- 3 papers2025 · T1 1
- 2 papers2024 · T1 1
- 3 papers2023 · T1 1
T1 venuesOtherVenues: CHI, IUI, AAAI, FAccT
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML5 papers
- Human-AI collaboration & trust3 papers
- Accessibility, health & wellbeing0 papers
- nus0 papers
- sustainability0 papers
Paper list
From DBLP.
20268 papers
- CHI (T1)Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy (opens in a new tab)
- FAccTCoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations (opens in a new tab)
- CHI (T1)Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments (opens in a new tab)
- CHI (T1)Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes (opens in a new tab)
- CHI (T1)iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision (opens in a new tab)
- AAAI (T1)Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds (opens in a new tab)
- IUIRules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model (opens in a new tab)
- IUITransferable XAI: Relating Understanding Across Domains with Explanation Transfer (opens in a new tab)
20253 papers
- CHI (T1)Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis (opens in a new tab)
- IUIRobust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency (opens in a new tab)
- Conference on Designing Interactive SystemsVarif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation (opens in a new tab)
20242 papers
20233 papers
- IUIIRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment (opens in a new tab)
- CHI (T1)RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions (opens in a new tab)
- Big Data Cogn. Comput.Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NUSFall 2027
School of Computing PhD in Computer Science
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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