90 citations · 197 across the 11 of their papers we have counts for
11 papers
Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models
Jingyi Xie, Rui Yu, He Zhang +3
Large multimodal models (LMMs) have enabled new AI-powered applications that help people with visual impairments (PVI) receive natural language descriptions of their surroundings t…
Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation System
He Zhang, Nicholas J. Falletta, Jingyi Xie +4
Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time…
When Qualitative Research Meets Large Language Model: Exploring the Potential of QualiGPT as a Tool for Qualitative Coding
He Zhang, Chuhao Wu, Jingyi Xie +5
Qualitative research, renowned for its in-depth exploration of complex phenomena, often involves time-intensive analysis, particularly during the coding stage. Existing software fo…
The Future of Learning: Large Language Models through the Lens of Students
He Zhang, Jingyi Xie, Chuhao Wu +3
As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, i…
Emerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for Design
Jingyi Xie, Rui Yu, He Zhang +3
People with visual impairments perceive their environment non-visually and often use AI-powered assistive tools to obtain textual descriptions of visual information. Recent large v…
QualiGPT: GPT as an easy-to-use tool for qualitative coding
He Zhang, Chuhao Wu, Jingyi Xie +2
Qualitative research delves deeply into individual complex perspectives on technology and various phenomena. However, a meticulous analysis of qualitative data often requires a sig…
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis
He Zhang, Chuhao Wu, Jingyi Xie +3
AI tools, particularly large-scale language model (LLM) based applications such as ChatGPT, have the potential to simplify qualitative research. Through semi-structured interviews…
Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection
Jiawei Liu, Jingyi Xie, Fanrui Zhang +2
The explosive growth of rumors with text and images on social media platforms has drawn great attention. Existing studies have made significant contributions to cross-modal informa…
Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection
Jingyi Xie, Jiawei Liu, Zheng-Jun Zha
Fake news spreads at an unprecedented speed, reaches global audiences and poses huge risks to users and communities. Most existing fake news detection algorithms focus on building…
Feasibility of Interactive 3D Map for Remote Sighted Assistance
Jingyi Xie, Rui Yu, Sooyeon Lee +3
Remote sighted assistance (RSA) has emerged as a conversational assistive technology, where remote sighted workers, i.e., agents, provide real-time assistance to users with vision…
ABD-Net: Attentive but Diverse Person Re-Identification
Tianlong Chen, Shaojin Ding, Jingyi Xie +5
Attention mechanism has been shown to be effective for person re-identification (Re-ID). However, the learned attentive feature embeddings which are often not naturally diverse nor…