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20232026
most citedA Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

109 citations · 355 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

Megan Lee, Seung Ha Hwang, Inhyeok Choi +3

Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral repr…

cs.LG2025

MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding

Mengchun Zhang, Kateryna Shapovalenko, Yucheng Shao +2

Neural decoding from electroencephalography (EEG) remains fundamentally limited by poor generalization to unseen subjects, driven by high inter-subject variability and the lack of…

cs.AI2025★ 1 cited

A Survey on Foundation Models for Personalized Federated Intelligence

Yu Qiao, Huy Q. Le, Avi Deb Raha +7

The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remark…

cs.CV2024★ 1 cited

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

Yu Qiao, Huy Q. Le, Mengchun Zhang +3

Federated learning (FL) facilitates a privacy-preserving neural network training paradigm through collaboration between edge clients and a central server. One significant challenge…

cs.CY2023★ 93 cited

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era

Chaoning Zhang, Chenshuang Zhang, Chenghao Li +13

OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demonstrated to be one small step for generative AI (GAI), but one giant leap for artificial general intelligence…

cs.LG2023★ 28 cited

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Mengchun Zhang, Maryam Qamar, Taegoo Kang +4

Diffusion models have become a new SOTA generative modeling method in various fields, for which there are multiple survey works that provide an overall survey. With the number of a…

cs.SD2023★ 41 cited

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Chenshuang Zhang, Chaoning Zhang, Sheng Zheng +4

Generative AI has demonstrated impressive performance in various fields, among which speech synthesis is an interesting direction. With the diffusion model as the most popular gene…

cs.AI2023★ 109 cited

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Chaoning Zhang, Chenshuang Zhang, Sheng Zheng +14

As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond. With su…

cs.CV2023★ 82 cited

Text-to-image Diffusion Models in Generative AI: A Survey

Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang +2

This survey reviews the progress of diffusion models in generating images from text, ~\textit{i.e.} text-to-image diffusion models. As a self-contained work, this survey starts wit…