activity
20192026
most citedSentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

57 citations · 60 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Benchmarking General Mobile Assistants in Challenging Real-World Scenarios

Yiqi Zhu, Feiyu Gao, Jiaxing Fan +7

Graphical user interfaces have emerged as an important environment for evaluating autonomous AI agents on multimodal interactive tasks. Existing benchmarks such as AndroidWorld and…

cs.AI2026

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing

Bangbang Zhou, Hangdi Xing, Yifan Chen +8

Document parsing converts visually rich documents into machine-readable structured representations, forming a crucial foundation for information systems. Although many benchmarks h…

cs.AI2026

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Haiyang Xu, Xi Zhang, Haowei Liu +16

The paper introduces GUI-Owl-1.5, the latest native GUI agent model that features instruct/thinking variants in multiple sizes (2B/4B/8B/32B/235B) and supports a range of platforms…

cs.AI2025

Mobile-Agent-v3: Fundamental Agents for GUI Automation

Jiabo Ye, Xi Zhang, Haiyang Xu +12

This paper introduces GUI-Owl, a foundational GUI agent model that achieves state-of-the-art performance among open-source end-to-end models on ten GUI benchmarks across desktop an…

cs.CV2025

A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Zhaoqing Zhu, Chuwei Luo, Zirui Shao +4

Recent methods that integrate spatial layouts with text for document understanding in large language models (LLMs) have shown promising results. A commonly used method is to repres…

cs.AI2024

Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding

Zirui Shao, Feiyu Gao, Zhaoqing Zhu +6

Multimodal large language models (MLLMs) have shown impressive capabilities in document understanding, a rapidly growing research area with significant industrial demand. As a mult…

cs.CV2024

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

Zirui Shao, Feiyu Gao, Hangdi Xing +5

In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital com…

cs.CV2024

Visual Text Generation in the Wild

Yuanzhi Zhu, Jiawei Liu, Feiyu Gao +6

Recently, with the rapid advancements of generative models, the field of visual text generation has witnessed significant progress. However, it is still challenging to render high-…

cs.CV2023★ 2 cited

LORE: Logical Location Regression Network for Table Structure Recognition

Hangdi Xing, Feiyu Gao, Rujiao Long +5

Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…

cs.CL2021★ 57 cited

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

Chengxi Li, Feiyu Gao, Jiajun Bu +8

Aspect-based sentiment analysis (ABSA) is an emerging fine-grained sentiment analysis task that aims to extract aspects, classify corresponding sentiment polarities and find opinio…

cs.CV2021

Parsing Table Structures in the Wild

Rujiao Long, Wen Wang, Nan Xue +4

This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images wi…

cs.IR2019★ 1 cited

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

Xiaojing Liu, Feiyu Gao, Qiong Zhang +1

Visually rich documents (VRDs) are ubiquitous in daily business and life. Examples are purchase receipts, insurance policy documents, custom declaration forms and so on. In VRDs, v…