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Weishan Zhang

7 accepted papers

2026

Fair-FedMOE: Group-Fair One-Shot Federated Learning via Prototype-Guided Experts for Medical Imaging Analysis

ICML 2026poster

Group fairness can ensure equitable performance across different demographic subgroups for medical image analysis. However, the current fine-tuned foundation models (FMs) exhibit significant subgroup disparity. One-shot federated learning (OFL) can potentially mitigate this by leveraging cross-insti…

Cited by 0SourceScholar
2026

FedUP: Uncertainty-Aware Personalized Federated Learning via Probabilistic Prototypes

IJCAI 2026

Prototype-based federated learning enables efficient knowledge sharing by exchanging class prototypes rather than full model parameters. However, heterogeneous client data and limited local samples increase prototype estimation variance, making many client prototypes unreliable. Existing methods usu

Cited by 0Scholar
2023

Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation

AAAI 2023technical

Choreography refers to creation of dance motions according to both music and dance knowledge, where the created dances should be style-specific and consistent. However, most of the existing methods generate dances using the given music as the only reference, lacking the stylized dancing knowledge, n…

2023

SIEDOB: Semantic Image Editing by Disentangling Object and Background

CVPR 2023highlight

Semantic image editing provides users with a flexible tool to modify a given image guided by a corresponding segmentation map. In this task, the features of the foreground objects and the backgrounds are quite different. However, all previous methods handle backgrounds and objects as a whole using a…

2023

Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture

AAAI 2023technical

Video Compression Artifact Reduction aims to reduce the artifacts caused by video compression algorithms and improve the quality of compressed video frames. The critical challenge in this task is to make use of the redundant high-quality information in compressed frames for compensation as much as p…

2022

Context-Consistent Semantic Image Editing with Style-Preserved Modulation

ECCV 2022poster

"Semantic image editing utilizes local semantic label maps to generate the desired content in the edited region. A recent work borrows SPADE block to achieve semantic image editing. However, it cannot produce pleasing results due to style discrepancy between the edited region and surrounding pixels.…

2017

A new chaotic feature for EEG classification based seizure diagnosis

ICASSP 2017accepted

Seeking effective measures to characterize the chaotic patterns of EEG signals for seizure diagnosis is a long-term endeavor in the literature. We propose to count the number of zero-crossing (ZC) points on Poincaré surface as a feature when the time series of interest is embedded into the reconstru…

Cited by 0SourceScholar