activity
20182026
most citedAnalyzing the Noise Robustness of Deep Neural Networks

2 citations · 3 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

PixelART: Image-to-Layer Decomposition without Latents or Text-to-Image Pretraining

Zelin Jia, Zhao Zhang, Zhicong Tang +2

Image-to-layer decomposition converts a flattened image into editable RGBA layers, enabling element-level editing in design workflows. Existing diffusion-based systems typically ad…

cs.CV2026

Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection

Jiangning Zhu, Bowen Li, Shenyu Qiao +4

Graphic designs, such as posters, advertisements, and infographics, are an important medium for communicating information and shaping understanding. Unlike natural images, they con…

cs.HC2026

VisPuzzle: Task-Aware Composite Visualization Construction

Zheng Wang, Zhiyang Shen, Lingyun Yu +1

Compositing multiple visualizations into a coherent whole remains challenging due to the vast design space and the need to balance the coverage of task-relevant data insights (e.g.…

cs.CV2025

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts

Tianchi Xie, Minzhi Lin, Mengchen Liu +3

Understanding infographic charts with design-driven visual elements (e.g., pictograms, icons) requires both visual recognition and reasoning, posing challenges for multimodal large…

cs.CV2025

InfoDet: A Dataset for Infographic Element Detection

Jiangning Zhu, Yuxing Zhou, Zheng Wang +4

Given the central role of charts in scientific, business, and communication contexts, enhancing the chart understanding capabilities of vision-language models (VLMs) has become inc…

cs.LG2024

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Tianchi Xie, Jiangning Zhu, Guozu Ma +4

Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…

cs.HC2024

ReorderBench: A Benchmark for Matrix Reordering

Jiangning Zhu, Zheng Wang, Zhiyang Shen +4

Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, al…

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.HC2023

Enhancing Single-Frame Supervision for Better Temporal Action Localization

Changjian Chen, Jiashu Chen, Weikai Yang +6

Temporal action localization aims to identify the boundaries and categories of actions in videos, such as scoring a goal in a football match. Single-frame supervision has emerged a…

cs.HC2023

Interactive Reweighting for Mitigating Label Quality Issues

Weikai Yang, Yukai Guo, Jing Wu +4

Label quality issues, such as noisy labels and imbalanced class distributions, have negative effects on model performance. Automatic reweighting methods identify problematic sample…

cs.LG2023★ 1 cited

Foundation Models Meet Visualizations: Challenges and Opportunities

Weikai Yang, Mengchen Liu, Zheng Wang +1

Recent studies have indicated that foundation models, such as BERT and GPT, excel in adapting to a variety of downstream tasks. This adaptability has established them as the domina…

cs.LG2018★ 2 cited

Analyzing the Noise Robustness of Deep Neural Networks

Mengchen Liu, Shixia Liu, Hang Su +2

Deep neural networks (DNNs) are vulnerable to maliciously generated adversarial examples. These examples are intentionally designed by making imperceptible perturbations and often…