activity
20182023
most citedA Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

411 citations · 1.6k across the 30 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CV2023★ 8 cited

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation

Cheng Chen, Juzheng Miao, Dufan Wu +10

The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation ta…

cs.CL2023★ 15 cited

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models

Yue Huang, Qihui Zhang, Philip S. Y +1

Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-…

cs.DS2023★ 5 cited

Scalable Fair Influence Maximization

Xiaobin Rui, Zhixiao Wang, Jiayu Zhao +2

Given a graph , a community structure , and a budget , the fair influence maximization problem aims to select a seed set () that maximizes the inf…

cs.LG2023★ 10 cited

Decentralized Federated Learning: A Survey and Perspective

Liangqi Yuan, Ziran Wang, Lichao Sun +2

Federated learning (FL) has been gaining attention for its ability to share knowledge while maintaining user data, protecting privacy, increasing learning efficiency, and reducing…

cs.CL2023★ 260 cited

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Kai Zhang, Rong Zhou, Eashan Adhikarla +20

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…

cs.CV2023★ 6 cited

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation

Wenxuan Wang, Jing Wang, Chen Chen +4

The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from…

cs.CL2023★ 99 cited

AugGPT: Leveraging ChatGPT for Text Data Augmentation

Haixing Dai, Zhengliang Liu, Wenxiong Liao +15

Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially p…

cs.AI2023★ 411 cited

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Yihan Cao, Siyu Li, Yixin Liu +4

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and…

cs.LG2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

Yixin Liu, Haohui Ye, Kai Zhang +1

The volume of open-source biomedical data has been essential to the development of various spheres of the healthcare community since more `free' data can provide individual researc…

cs.SI2023★ 2 cited

Attacking Fake News Detectors via Manipulating News Social Engagement

Haoran Wang, Yingtong Dou, Canyu Chen +3

Social media is one of the main sources for news consumption, especially among the younger generation. With the increasing popularity of news consumption on various social media pl…