91 citations · 155 across the 14 of their papers we have counts for
14 papers
Pure Node Selection for Imbalanced Graph Node Classification
Fanlong Zeng, Wensheng Gan, Jiayang Wu +1
The problem of class imbalance refers to an uneven distribution of quantity among classes in a dataset, where some classes are significantly underrepresented compared to others. Cl…
Graph Diffusion Network for Drug-Gene Prediction
Jiayang Wu, Wensheng Gan, Philip S. Yu
Predicting drug-gene associations is crucial for drug development and disease treatment. While graph neural networks (GNN) have shown effectiveness in this task, they face challeng…
Towards More Accurate Full-Atom Antibody Co-Design
Jiayang Wu, Xingyi Zhang, Xiangyu Dong +5
Antibody co-design represents a critical frontier in drug development, where accurate prediction of both 1D sequence and 3D structure of complementarity-determining regions (CDRs)…
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training
Jiayang Wu, Wensheng Gan, Jiahao Zhang +1
In the current development of large language models (LLMs), it is important to ensure the accuracy and reliability of the underlying data sources. LLMs are critical for various app…
Graph Contrastive Learning on Multi-label Classification for Recommendations
Jiayang Wu, Wensheng Gan, Huashen Lu +1
In business analysis, providing effective recommendations is essential for enhancing company profits. The utilization of graph-based structures, such as bipartite graphs, has gaine…
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi +2
Artificial intelligence (AI) has a profound impact on traditional education. In recent years, large language models (LLMs) have been increasingly used in various applications such…
Geospatial Big Data: Survey and Challenges
Jiayang Wu, Wensheng Gan, Han-Chieh Chao +1
In recent years, geospatial big data (GBD) has obtained attention across various disciplines, categorized into big earth observation data and big human behavior data. Identifying g…
Data Scarcity in Recommendation Systems: A Survey
Zefeng Chen, Wensheng Gan, Jiayang Wu +2
The prevalence of online content has led to the widespread adoption of recommendation systems (RSs), which serve diverse purposes such as news, advertisements, and e-commerce recom…
Large Language Models in Law: A Survey
Jinqi Lai, Wensheng Gan, Jiayang Wu +2
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI…
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen +2
The exploration of multimodal language models integrates multiple data types, such as images, text, language, audio, and other heterogeneity. While the latest large language models…
Large Language Models in Education: Vision and Opportunities
Wensheng Gan, Zhenlian Qi, Jiayang Wu +1
With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social d…
Open Metaverse: Issues, Evolution, and Future
Zefeng Chen, Wensheng Gan, Jiayi Sun +2
With the evolution of content on the web and the Internet, there is a need for cyberspace that can be used to work, live, and play in digital worlds regardless of geography. The Me…
AI-Generated Content (AIGC): A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen +2
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist…
Metaverse Security and Privacy: An Overview
Zefeng Chen, Jiayang Wu, Wensheng Gan +1
Metaverse is a living space and cyberspace that realizes the process of virtualizing and digitizing the real world. It integrates a plethora of existing technologies with the goal…