activity
20242026
most citedPEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

WidgetVA: A Widget-Centric Framework and Benchmark for Agentic Visual Analytics

Yutong Chen, Zhike Tang, Zhihao Mai +4

Visual analytics (VA) enables sensemaking through interactive visualization, but effective analysis often requires experts to translate high-level intents into long sequences of in…

cs.IR2026

Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support

Jing Xu, Jiarui Hu, Zhihao Shuai +2

While infographics have become a powerful medium for communicating data-driven stories, authoring them from scratch remains challenging, especially for novice users. Retrieving rel…

cs.AI2025★ 3 cited

DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning

Zhihao Shuai, Boyan Li, Siyu Yan +2

Although data visualization is powerful for revealing patterns and communicating insights, creating effective visualizations requires familiarity with authoring tools and often dis…

cs.CV2025

Spatial-Temporal Perception with Causal Inference for Naturalistic Driving Action Recognition

Qing Chang, Wei Dai, Zhihao Shuai +2

Naturalistic driving action recognition is essential for vehicle cabin monitoring systems. However, the complexity of real-world backgrounds presents significant challenges for thi…

cs.LG2024

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics

Tian Bowen, Lai Songning, Wu Jiemin +3

Pretrained models have revolutionized deep learning by enabling significant performance improvements across a wide range of tasks, leveraging large-scale, pre-learned knowledge rep…

cs.CV2024★ 4 cited

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning

Bowen Tian, Songning Lai, Lujundong Li +4

Fine-grained image classification has witnessed significant advancements with the advent of deep learning and computer vision technologies. However, the scarcity of detailed annota…