activity
20222025
most citedDiagnosing Ensemble Few-Shot Classifiers

32 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Proceedings of The third international workshop on eXplainable AI for the Arts (XAIxArts)

Corey Ford, Elizabeth Wilson, Shuoyang Zheng +9

This third international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and di…

cs.CV2025

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

Zhen Li, Duan Li, Yukai Guo +9

Infographic charts are a powerful medium for communicating abstract data by combining visual elements (e.g., charts, images) with textual information. However, their visual and str…

cs.HC2025

RouteFlow: Trajectory-Aware Animated Transitions

Duan Li, Xinyuan Guo, Xinhuan Shu +3

Animating objects' movements is widely used to facilitate tracking changes and observing both the global trend and local hotspots where objects converge or diverge. Existing method…

cs.HC2024★ 1 cited

An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling

Lixiu Wu, Yuanrong Tang, Qisen Pan +6

Due to privacy concerns, open dialogue datasets for mental health are primarily generated through human or AI synthesis methods. However, the inherent implicit nature of psychologi…

cs.HC2024

Dynamic Color Assignment for Hierarchical Data

Jiashu Chen, Weikai Yang, Zelin Jia +2

Assigning discriminable and harmonic colors to samples according to their class labels and spatial distribution can generate attractive visualizations and facilitate data explorati…

cs.LG2022★ 32 cited

Diagnosing Ensemble Few-Shot Classifiers

Weikai Yang, Xi Ye, Xingxing Zhang +6

The base learners and labeled samples (shots) in an ensemble few-shot classifier greatly affect the model performance. When the performance is not satisfactory, it is usually diffi…