Fumeng Yang
Assistant Professor
Studies how people interpret uncertainty and outputs of computational models, designing visualizations that communicate probabilistic forecasts and AI predictions.
Fumeng Yang's lab at UMD works on visualization & visual analytics and probabilistic & causal inference. 19 papers since 2023, 9 at top venues, mostly CHI and ACL. 4 PhD students and 2 master's students. 7 alumni.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 47%
- PhD students
- 4
- MS students
- 2
- alumni listed
- 7
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 3 · collecting
- 4 papers2025 · T1 3
- 4 papers2024 · T1 1
- 4 papers2023 · T1 2
T1 venuesOtherVenues: CHI, ACL, EMNLP, Findings of ACL, ISMAR
Research focuspaper titles that use each topic's words
- Visualization & visual analytics6 papers
- Probabilistic & causal inference0 papers
- outputs0 papers
- communicate0 papers
- designing0 papers
Paper list
From the lab homepage.
20267 papers
- CHI (T1)Codesigning Ripplet: An LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows (opens in a new tab)
- ISMAR (T1)DuoZone: A User-Centric, LLM-Guided Mixed-Initiative XR Window Management System (opens in a new tab)
- SMCExploring the Motor Learning Experience of Personalized Multi-Haptic Feedback
- VIS Short PapersMade to Feel: How Designers Bring Emotions into Affective Visualization (opens in a new tab)
- Findings of ACLReheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms (opens in a new tab)
- CHI (T1)Through a Live Elections Dashboard, Darkly: Managing Expectations and Trust in Progressive Vote Counting During the 2024 U.S. Election (opens in a new tab)
- VIS Short PapersWhat Do We Mean When We Talk About Infographics? (opens in a new tab)
20254 papers
- EMNLP (T1)A Good Plan is Hard to Find: Aligning LLMs with Preferences is Misaligned with What Helps Users (opens in a new tab)
- CHI (T1)Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization (opens in a new tab)
- VISSelf-Supervised Continuous Colormap Recovery from a Scalar Field Visualization without a Legend (opens in a new tab)
- ACL (T1)Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas (opens in a new tab)
20244 papers
- TVCGA Comparative Study on Visualizations of Scheduled Event Sequences: Gantt, Extended Gantt, and Stringline Charts (opens in a new tab)
- CHI (T1)In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time (opens in a new tab)
- VISPromises and Pitfalls: Using Large Language Models to Generate Visualization Items (opens in a new tab)
- VISThe Backstory to "Swaying the Public": A Design Chronicle of Election Forecast Visualizations (opens in a new tab)
20234 papers
- VISAdaptive Assessment of Visualization Literacy (opens in a new tab)
- CHI (T1)How Can Deep Neural Networks Aid Visualization Perception Research? (opens in a new tab)
- CHI (T1)Subjective Probability Correction for Uncertainty Representations (opens in a new tab)
- VISSwaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms (opens in a new tab)
Where alumni went7 listed
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- Papers
- The lab homepage
- Members
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Tiers are venue classifications, not lab rankings.