activity
20242026
most citedTowards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts

18 citations · 22 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2026

Structurally Speaking: Motif-Oriented Graph Captioning through Bidirectional Graph-Text Translation

Hsiao-Ying Lu, Dongyu Liu, Kwan-Liu Ma

Graph captions should help readers understand graph structure, rather than simply translate adjacency matrices into long textual edge lists. A useful graph caption abstracts connec…

cs.LG2026

ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecasting

Yichen Jiang, Yueqiao Chen, Dongyu Liu

State-of-the-art multivariate time-series forecasters can model complex temporal and cross-variable dependencies, yet their opaque representations provide limited insight into why…

cs.LG2026

DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings

Yuya Kawakami, Daniel Cayan, Dongyu Liu +2

Pluvial (rainfall-driven) flooding accounts for 45% of National Flood Insurance Program (NFIP) claims in the United States and is harder to predict than its riverine and coastal co…

cs.HC2026

ShapeTalk: Combining Natural Language and Sketch for Time-Series Pattern Querying

Guoruizhe Sun, Yueqiao Chen, Emily Guo +2

Searching for time-series segments that match user-defined patterns is important in domains such as finance, climate science, and healthcare. However, existing visual query tools o…

cs.CV2026

VEIL: How Visual Encoding Hijacking Induces Bias In Vision Models

Suranjana Sooraj, Xuyang Chen, Madhumitha Venkatesan +1

Rendering time series as chart images for CNN-based classification has become increasingly common in time-series classification (TSC). However, it remains unclear whether models le…

cs.CV2026

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations

Madhumitha Venkatesan, Xuyang Chen, Dongyu Liu

Time-series classification (TSC) has advanced significantly with deep learning, yet most models rely solely on raw numerical inputs, overlooking alternative representations. While…

cs.LG2025

SigTime: Learning and Visually Explaining Time Series Signatures

Yu-Chia Huang, Juntong Chen, Dongyu Liu +1

Understanding and distinguishing temporal patterns in time series data is essential for scientific discovery and decision-making. For example, in biomedical research, uncovering me…

cs.HC2025

ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets

Yuya Kawakami, Daniel Cayan, Dongyu Liu +1

Ensemble datasets are ever more prevalent in various scientific domains. In climate science, ensemble datasets are used to capture variability in projections under plausible future…

cs.HC2024★ 4 cited

SpreadLine: Visualizing Egocentric Dynamic Influence

Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma

Egocentric networks, often visualized as node-link diagrams, portray the complex relationship (link) dynamics between an entity (node) and others. However, common analytics tasks a…

cs.HC2024★ 18 cited

Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts

Sam Yu-Te Lee, Aryaman Bahukhandi, Dongyu Liu +1

Recent advancements in Large Language Models (LLMs) and Prompt Engineering have made chatbot customization more accessible, significantly reducing barriers to tasks that previously…