Search Results for author: Mengchun Zhang

Found 6 papers, 0 papers with code

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

no code implementations14 Apr 2024 Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong

First, we employ clustering on the local representations of each client, aiming to capture intra-class information based on these local clusters at a high level of granularity.

Clustering Federated Learning +1

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

no code implementations4 Apr 2023 Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang

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.

Survey

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

no code implementations23 Mar 2023 Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon

This work conducts a survey on audio diffusion model, which is complementary to existing surveys that either lack the recent progress of diffusion-based speech synthesis or highlight an overall picture of applying diffusion model in multiple fields.

Speech Enhancement Speech Synthesis +3

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

no code implementations14 Mar 2023 Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon, Junmo Kim

As a self-contained work, this survey starts with a brief introduction of how diffusion models work for image synthesis, followed by the background for text-conditioned image synthesis.

Survey text-guided-generation +1

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