activity
20232026
collaborators

10 papers

cs.LG2026

FlexCast: Adaptive Weather Forecasting from Arbitrary Field Sets

Yuang Zhang, Chen Hui, Weisi Lin +4

Most deep learning weather models assign a fixed set of variables and pressure levels to predefined channels, limiting transfer across atmospheric field configurations. This depend…

cs.LG2026

SN: A Spherical Spiral Scanning Network for Weather Forecasting

Fan Yan, Chen Hui, Weisi Lin +4

Machine learning-based weather prediction (MLWP) has achieved strong performance in global weather forecasting. Recent Hierarchical Equal Area isoLatitude Pixelation (HEALPix)-base…

cs.CV2025

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models

Chenyue Song, Chen Hui, Haiqi Zhu +4

No-reference image quality assessment (NR-IQA) aims to simulate the process of perceiving image quality aligned with subjective human perception. However, existing NR-IQA methods e…

eess.IV2025

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Siqiao Li, Chen Hui, Wei Zhang +7

Positron Emission Tomography / Computed Tomography (PET/CT) plays a critical role in medical imaging, combining functional and anatomical information to aid in accurate diagnosis.…

eess.IV2025

LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Chenyue Song, Chen Hui, Qing Lin +8

Autoregressive Initial Bits is a framework that integrates sub-image autoregression and latent variable modeling, demonstrating its advantages in lossless medical image compression…

cs.CV2025

BPCLIP: A Bottom-up Image Quality Assessment from Distortion to Semantics Based on CLIP

Chenyue Song, Chen Hui, Wei Zhang +4

Image Quality Assessment (IQA) aims to evaluate the perceptual quality of images based on human subjective perception. Existing methods generally combine multiscale features to ach…

cs.RO2024

A Novel Passive Occupational Shoulder Exoskeleton With Adjustable Peak Assistive Torque Angle For Overhead Tasks

Jin Tian, Haiqi Zhu, Changjia Lu +4

Objective: Overhead tasks are a primary inducement to work-related musculoskeletal disorders. Aiming to reduce shoulder physical loads, passive shoulder exoskeletons are increasing…

cs.CV2024

Image Quality Assessment With Compressed Sampling

Ronghua Liao, Chen Hui, Lang Yuan +2

No-Reference Image Quality Assessment (NR-IQA) aims at estimating image quality in accordance with subjective human perception. However, most methods focus on exploring increasingl…

q-bio.NC2023

BDEC:Brain Deep Embedded Clustering model

Xiaoxiao Ma, Chunzhi Yi, Zhicai Zhong +4

An essential premise for neuroscience brain network analysis is the successful segmentation of the cerebral cortex into functionally homogeneous regions. Resting-state functional m…

cs.HC2023

ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition

Baichun Wei, Chunzhi Yi, Qi Zhang +3

Deep learning-based human activity recognition (HAR) methods have shown great promise in the applications of smart healthcare systems and wireless body sensor network (BSN). Despit…