百晓学者学者目录

李畅

副教授、副研究员、博士生导师、硕士生导师,合肥工业大学

精选作品

期刊论文

2026

DriHBN: A Transformer-Mamba hybrid net for driver distraction detection

Zhuoying Li, Jiantao Wang, Yuyang Zhang, Bo Yang, Haotian Luo, Chang Li, Wei Zheng, Yiqun Wang

Neurocomputing

2026

Multimodal fusion classification of driving fatigue based on teacher–student model architecture

Chang Li, Chao Wang, Bo Yang, Haotian Luo, Ji-Hu Zhang, Junxing Ma, Wei Zheng

Biomedical Signal Processing and Control

2026

An open-set learning framework for EEG-based sleep stage classification

Qiunan Feng, Chang Li, Hu Peng, Heyuan Qiao, Rencheng Song, Xun Chen

Journal of Neural Engineering

2026

Domain Generalization for EEG-Based Patient-Independent Seizure Prediction via Balanced Graph Adversarial Model

Yuchang Zhao, Chang Li, Le Wu, Yikai Gao, Xun Chen

IEEE Sensors Journal

2026

Personalized Federated Learning with Mixture of Experts for EEG-Based Seizure Prediction

Yunfeng Zhao, Chang Li, Yuanguo Wang, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Internet of Things Journal

2026

Dataset distillation for efficient seizure prediction: tiny-scale data, comparable performance

Yuchang Zhao, Xun Chen, Chang Li, Yikai Gao, Ruobing Qian, Aiping Liu

Journal of Neural Engineering

2026

Wavelet‐Based Frequency Replacement and Edge Enhancement for Semi‐Supervised Fetal Ultrasound Image Segmentation

Wenbo Yue, Xiaming Wu, Qing Huang, Xinglong Wu, Chang Li, Yajun Yu, Jun Lyu, Guoping Xu

Journal of Ultrasound in Medicine

2025

RMTSE: A Spatial-Channel Dual Attention Network for Driver Distraction Recognition

Junyi He, Chang Li, Yang Xie, Haotian Luo, Wei Zheng, Yiqun Wang

Italian National Conference on Sensors

2025

Single-channel EEG-based sleep stage classification via hybrid data distillation

Hanfei Guo, Junhao Xu, Chang Li, Wei Guo Zhao, Hu Peng, Zhihui Han, Yuanguo Wang, Xun Chen

Journal of Neural Engineering

2025

EEGCMCNet: A Hybrid Network for Sleep-Stage Classification

Leyuan Huang, Weijie Zhang, Chang Li, Wei Guo Zhao, Hu Peng, Xun Chen

IEEE Sensors Journal

2025

Incremental Learning for Patient-Specific EEG-Based Seizure Detection

Zhiwei Deng, Chang Li, Gang Zhao, Xun Chen

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2025

Motion-Robust Remote Photoplethysmography With Time–Frequency Wiener Filtering

Jincheng Bian, Juan Cheng, Chang Li, Hailin Shi, Xuezhi Yang, Rencheng Song

IEEE Sensors Journal

2025

DM-UNet: a Dilated Multi-Scale and Bottleneck Attention UNet for Ultrasound Image Segmentation

Xin Cheng, Wenbo Yue, Chang Li, Yajun Yu, Xinglong Wu, Guoping Xu

International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2025

Easy data augmentation strategies for enhanced blastomeres detection

Xiao‐Lei Wang, Chang Li, Jingwei Yang, Guoning Huang, Xiaodong Zhang

Measurement

2025

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock

IEEE Transactions on Intelligent Transportation Systems

2025

Meta-Learning-Assisted Untrained Neural Network for Electromagnetic Inverse Scattering Problems

Qian Huang, Chang Li, Xiuzhu Ye, Kuiwen Xu, Rencheng Song

IEEE Transactions on Antennas and Propagation

2025

Data Distillation for Sleep Stage Classification

Hanfei Guo, Chang Li, Wei Guo Zhao, Hu Peng, Heyuan Qiao, Xun Chen

IEEE Internet of Things Journal

2025

Graph Representation Learning for Infrared and Visible Image Fusion

Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma

IEEE Transactions on Automation Science and Engineering

2025

A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation

Wenbo Yue, Chang Li, Guoping Xu

Proceedings - International Conference on Image Processing

2025

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation

Guoping Xu, Xiaming Wu, Wentao Liao, Xinglong Wu, Qing Huang, Chang Li

Proceedings - International Conference on Image Processing

2024

基于无源域适应的脑电情绪识别

赵红宇,李畅,刘羽,成娟,宋仁成,陈勋

《中国生物医学工程学报》

2024

Feature Unlearning for EEG-Based Seizure Prediction

Chenghao Shao, Chang Li, Rencheng Song, Guoping Xu, Xun Chen

IEEE Internet of Things Journal

2024

EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising

Xiaoyang Huang, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Journal of Biomedical and Health Informatics

2024

IEEG-HCT: A Hierarchical CNN-Transformer Combined Network for Intracranial EEG Signal Identification

Ming Yang, Kun Wang, Chang Li, Ruobing Qian, Xun Chen

IEEE Sensors Letters

2024

Domain Incremental Learning for EEG-Based Seizure Prediction

Zishun Deng, Tingting Mao, Chenghao Shao, Chang Li, Xun Chen

Lecture notes in computer science

2024

Video-based heart rate estimation with spectrogram signal quality ranking and fusion

Rencheng Song, Zhixing Du, Juan Cheng, Chang Li, Xuezhi Yang

Biomedical Signal Processing and Control

2024

Reliable Source-Free Domain Adaptation for Cross-User Myoelectric Pattern Recognition

Xuan Zhang, Le Wu, Xu Zhang, Xiang 'Anthony' Chen, Chang Li, Xun Chen

IEEE Sensors Journal

2024

Test time adaptation for cross-domain sleep stage classification

Hanfei Guo, Chang Li, Hu Peng, Zhihui Han, Xun Chen

Biomedical Signal Processing and Control

2024

A CNN-Transformer-ConvLSTM-CRF Hybrid Network for Sleep Stage Classification

Weijie Zhang, Sheng Zhang, Yuanguo Wang, Chang Li, Hu Peng, Xun Chen

IEEE Sensors Journal

2024

An improved you only look once algorithm for pronuclei and blastomeres localization

Xinghao Dong, Chang Li, Xu Zhang, Xu Zhang, Guoning Huang, Xiaodong Zhang, Xiaodong Zhang

Engineering Applications of Artificial Intelligence

2024

Machine Unlearning for Seizure Prediction

Chenghao Shao, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Transactions on Cognitive and Developmental Systems

2024

Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation

Tingting Mao, Chang Li, Rencheng Song, Guoping Xu, Xun Chen

IEEE Internet of Things Journal

2024

A pixel and channel enhanced up-sampling module for biomedical image segmentation

Xuan Zhang, Guoping Xu, Xinglong Wu, Wentao Liao, Xuesong Leng, Xiaxia Wang, Xinwei He, Chang Li

Machine Vision and Applications

2024

CTCNet: A CNN Transformer capsule network for sleep stage classification

Weijie Zhang, Chang Li, Hu Peng, Heyuan Qiao, Xun Chen

Measurement

2024

Video-Based Respiration Rate Measurement With Adaptive Filtering and Quality-Guided Pulse Selection

Rencheng Song, Wei Zhao, Juan Cheng, Chang Li, Xuezhi Yang

IEEE Transactions on Instrumentation and Measurement

2023

整型推理量化CNN的SAR图像跨域变化检测

王蓉芳,王良,李畅,霍春雷,陈佳伟

《中国图象图形学报》

2023

A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG

Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2023

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction

Zishun Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2023

EEG-Based Seizure Prediction Via GhostNet and Imbalanced Learning

Tingting Mao, Chang Li, Yuchang Zhao, Rencheng Song, Xun Chen

IEEE Sensors Letters

2023

Privacy-Preserving Domain Adaptation for Intracranial EEG Classification via Information Maximization and Gaussian Mixture Model

Kun Wang, Ming Yang, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Sensors Journal

2023

EEG-based sleep staging via self-attention based capsule network with Bi-LSTM model

Jin Chen, Zhihui Han, Heyuan Qiao, Chang Li, Hu Peng

Biomedical Signal Processing and Control

2023

A GAN Guided Parallel CNN and Transformer Network for EEG Denoising

Yin Jin, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen

IEEE Journal of Biomedical and Health Informatics

2023

A Segmentation-Denoising Network for Artifact Removal From Single-Channel EEG

Y.Z. Li, Aiping Liu, Yin Jin, Chang Li, Xun Chen

IEEE Sensors Journal

2023

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning

Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

Engineering Applications of Artificial Intelligence

2023

EEG-Based Sleep Stage Classification via Neural Architecture Search

Gangwei Kong, Chang Li, Hu Peng, Zhihui Han, Heyuan Qiao

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2023

Semantic perceptive infrared and visible image fusion Transformer

Xin Yang, Hongtao Huo, Chang Li, Xiaowen Liu, Wenxi Wang, Cheng Wang

Pattern Recognition

2023

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

Tao Wei, Ze Wang, Chi Man Wong, Ziyu Jia, Chang Li, Xun Chen, C. L. Philip Chen, Feng Wan

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2023

Privacy-preserving multi-source semi-supervised domain adaptation for seizure prediction

Liang Deng, Aiping Liu, Le Wu, Chang Li, Ruobing Qian, Xun Chen

Cognitive Neurodynamics

2023

Non-contact human respiratory rate measurement based on two-level fusions of video and FMCW radar information

Rencheng Song, Cong Ren, Juan Cheng, Chang Li, Xuezhi Yang

Measurement

2023

Online Test-Time Adaptation for Patient-Independent Seizure Prediction

Tingting Mao, Chang Li, Yuchang Zhao, Rencheng Song, Xun Chen

IEEE Sensors Journal

2023

Motion-robust anterior–posterior imaging ballistocardiography for non-contact heart rate measurements

Juan Cheng, Yue Bicheng, Rencheng Song, Yü Liu, Chang Li, Xun Chen

Biomedical Signal Processing and Control

2023

Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction

Yuchang Zhao, Shuai Feng, Chang Li, Rencheng Song, Liang Deng, Xun Chen

IEEE Transactions on Industrial Informatics

2023

Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation

Guoping Xu, Wentao Liao, Xuan Zhang, Chang Li, Xinwei He, Xinglong Wu

Pattern Recognition

2023

Spatio-temporal deep forest for emotion recognition based on facial electromyography signals

Muhua Xu, Juan Cheng, Chang Li, Yü Liu, Xun Chen

Computers in Biology and Medicine

2023

Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition

Xuan Zhang, Le Wu, Xu Zhang, Xiang 'Anthony' Chen, Chang Li, Xun Chen

Journal of Neural Engineering

2023

A Generalized Zero-Shot Learning Scheme for SSVEP-Based BCI System

Xietian Wang, Aiping Liu, Le Wu, Chang Li, Yü Liu, Xun Chen

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2023

Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization

Liang Deng, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2023

TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer

Jing Li, Bin Yang, Lu Bai, Hao Dou, Chang Li, Lingfei Ma

IEEE Transactions on Instrumentation and Measurement

2023

Uncertainty Quantification for Deep Learning-Based Remote Photoplethysmography

Rencheng Song, Han Wang, Haojie Xia, Juan Cheng, Chang Li, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2023

MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image Segmentation

Guoping Xu, Xuesong Leng, Chang Li, Xingwei He, Xinglong Wu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2022

用于红外眼动图像分割的优化方法

李畅,刘昱,孙景林

《激光与光电子学进展》

2022

利用深度学习研究2型糖尿病的全自动腹部CT生物标志物

H.Tallam, D.C.Elton, S.Lee, P.Wakim, P.J.Pickhardt, R.M.Summers, 姚峄杉, 李畅

《国际医学放射学杂志》

2022

基于多模态磁共振图像特征选择的脑胶质瘤分割

成娟,张楚雅,刘羽,李畅,朱智勤,陈勋

《中国生物医学工程学报》

2022

Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition

Yü Liu, Yi Wei, Chang Li, Juan Cheng, Rencheng Song, Xun Chen

IEEE Journal of Biomedical and Health Informatics

2022

TC-Net: A Transformer Capsule Network for EEG-based emotion recognition

Yi Wei, Yü Liu, Chang Li, Juan Cheng, Rencheng Song, Xun Chen

Computers in Biology and Medicine

2022

Spatio-temporal MLP network for seizure prediction using EEG signals

Chang Li, Chenghao Shao, Rencheng Song, Guoping Xu, Xiang Liu, Ruobing Qian, Xun Chen

Measurement

2022

EEG-Based Seizure Prediction via Model Uncertainty Learning

Chang Li, Zhiwei Deng, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2022

Frequency Information Enhanced Deep EEG Denoising Network for Ocular Artifact Removal

Yin Jin, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen

IEEE Sensors Journal

2022

EEG-based seizure prediction via Transformer guided CNN

Chang Li, Xiaoyang Huang, Rencheng Song, Ruobing Qian, Xiang Liu, Xun Chen

Measurement

2022

EEG-Based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning

Chang Li, Xuejuan Lin, Yü Liu, Rencheng Song, Juan Cheng, Xun Chen

IEEE Sensors Journal

2022

EEG-based Emotion Recognition via Transformer Neural Architecture Search

Chang Li, Zhongzhen Zhang, Xiaodong Zhang, Guoning Huang, Yü Liu, Xun Chen

IEEE Transactions on Industrial Informatics

2022

Multi-channel EEG-based emotion recognition in the presence of noisy labels

Chang Li, Yimeng Hou, Rencheng Song, Juan Cheng, Yü Liu, Xun Chen

Science China Information Sciences

2022

Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism

Chang Li, Bin Wang, Silin Zhang, Yü Liu, Rencheng Song, Juan Cheng, Xun Chen

Computers in Biology and Medicine

2022

Semisupervised Seizure Prediction in Scalp EEG Using Consistency Regularization

Liang Deng, Aiping Liu, Le Wu, Chang Li, Ruobing Qian, Rabab Kreidieh Ward, Xun Chen

Journal of Healthcare Engineering

2022

DGLT-Fusion: A decoupled global–local infrared and visible image fusion transformer

Xin Yang, Hongtao Huo, Ren-Hua Wang, Chang Li, Xiaowen Liu, Jing Li

Infrared Physics & Technology

2022

Dual-branch body and boundary supervision network for ultrasound image segmentation

Wentao Liao, Guoping Xu, Xinglong Wu, Xuan Zhang, Xinwei He, Chang Li

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2022

Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network

Chang Li, Yuchang Zhao, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Transactions on Cognitive and Developmental Systems

2022

Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion

Yü Liu, Fuhao Mu, Yu Shi, Juan Cheng, Chang Li, Xun Chen

Frontiers in Neuroscience

2022

Electromagnetic Inverse Scattering With an Untrained SOM-Net

Rencheng Song, Meilan Li, Kuiwen Xu, Chang Li, Xun Chen

IEEE Transactions on Microwave Theory and Techniques

2022

A novel consistency-based training strategy for seizure prediction

Liang Deng, Aiping Liu, Chang Li, Jun Liu, Xun Chen

Journal of Neuroscience Methods

2022

Spatial-Spectral Nonlinear Hyperspectral Unmixing Under Complex Noise

Chang Li, Jing Li, Chenhong Sui, Rencheng Song, Xun Chen

IEEE Sensors Journal

2022

Learning-Based Inversion Method for Solving Electromagnetic Inverse Scattering With Mixed Boundary Conditions

Rencheng Song, Youyou Huang, Xiuzhu Ye, Kuiwen Xu, Chang Li, Xun Chen

IEEE Transactions on Antennas and Propagation

2022

CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion

Jing Li, Jianming Zhu, Chang Li, Xun Chen, Bin Yang

IEEE Transactions on Instrumentation and Measurement

2022

Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning

Yuchang Zhao, Chang Li, Xiang Liu, Ruobing Qian, Rencheng Song, Xun Chen

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2022

SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems

Yü Liu, Hao Zhao, Rencheng Song, Xudong Chen, Chang Li, Xun Chen

IEEE Transactions on Geoscience and Remote Sensing

2022

Multimodal MRI Volumetric Data Fusion With Convolutional Neural Networks

Yü Liu, Yu Shi, Fuhao Mu, Juan Cheng, Chang Li, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2021

基于深度学习的膀胱肿瘤MRI图像分级分期预测

蔡亚洁,李畅,杜悦,张文龙,白羽,黄道斌

《电脑知识与技术》

2021

基于深度学习的腺体病理图像分割

蔡亚洁,李畅,杜悦,黄道斌

《电脑知识与技术》

2021

EEG-Based Emotion Recognition via Neural Architecture Search

Chang Li, Zhongzhen Zhang, Rencheng Song, Juan Cheng, Yü Liu, Xun Chen

IEEE Transactions on Affective Computing

2021

Superpixel-Based Noise-Robust Sparse Unmixing of Hyperspectral Image

Chang Li, Chenhong Sui, Rencheng Song, Juan Cheng, Yü Liu, Xun Chen

IEEE Geoscience and Remote Sensing Letters

2021

Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks

Juan Cheng, Yufei Xu, Rencheng Song, Yü Liu, Chang Li, Xun Chen

Computers in Biology and Medicine

2021

A Convolutional Sparsity Regularization for Solving Inverse Scattering Problems

Rencheng Song, Qiao Zhou, Yü Liu, Chang Li, Xun Chen

IEEE Antennas and Wireless Propagation Letters

2021

Constrained independent vector extraction of quasi-periodic signals from multiple data sets

Rencheng Song, Guoping Wang, Juan Cheng, Aiping Liu, Chang Li, Xun Chen

Signal Processing

2021

Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression

Chenhong Sui, Jun Wei Zhou, Chang Li, Qiang Zheng, Jie Feng, Xiaoguang Mei, Jing Wang

IEEE Transactions on Geoscience and Remote Sensing

2021

Remote Photoplethysmography With an EEMD-MCCA Method Robust Against Spatially Uneven Illuminations

Rencheng Song, Jiji Li, Minda Wang, Juan Cheng, Chang Li, Xun Chen

IEEE Sensors Journal

2021

PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography

Rencheng Song, Huan Chen, Juan Cheng, Chang Li, Yü Liu, Xun Chen

IEEE Journal of Biomedical and Health Informatics

2021

Electromagnetic Inverse Scattering With Perceptual Generative Adversarial Networks

Rencheng Song, Youyou Huang, Kuiwen Xu, Xiuzhu Ye, Chang Li, Xun Chen

IEEE Transactions on Computational Imaging

2021

Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network

Wei Tang, Yü Liu, Juan Cheng, Chang Li, Xun Chen

IEEE Transactions on Computational Imaging

2021

Plane-Wave Image Reconstruction via Generative Adversarial Network and Attention Mechanism

Tang Jiahua, Bao Juan Zou, Chang Li, Shuai Feng, Hu Peng

IEEE Transactions on Instrumentation and Measurement

2020

EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention

Wei Tao, Chang Li, Rencheng Song, Juan Cheng, Yü Liu, Feng Wan, Xun Chen

IEEE Transactions on Affective Computing

2020

Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network

Yü Liu, Yufeng Ding, Chang Li, Juan Cheng, Rencheng Song, Feng Wan, Xun Chen

Computers in Biology and Medicine

2020

Emotion Recognition From Multi-Channel EEG via Deep Forest

Juan Cheng, Meiyao Chen, Chang Li, Yü Liu, Rencheng Song, Aiping Liu, Xun Chen

IEEE Journal of Biomedical and Health Informatics

2020

Remote Heart Rate Measurement From Near-Infrared Videos Based on Joint Blind Source Separation With Delay-Coordinate Transformation

Juan Cheng, Ping Wang, Rencheng Song, Yü Liu, Chang Li, Yong Liu, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2020

Motion Robust Imaging Ballistocardiography Through a Two-Step Canonical Correlation Analysis

Rencheng Song, Jiji Li, Juan Cheng, Chang Li, Yü Liu, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2020

Deep Learning-Based Inverse Scattering With Structural Similarity Loss Functions

Youyou Huang, Rencheng Song, Kuiwen Xu, Xiuzhu Ye, Chang Li, Xun Chen

IEEE Sensors Journal

2020

A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion

Yü Liu, Chao Zhang, Chang Li, Juan Cheng, Yadong Zhang, Huiqin Xu, Tao Song, Liang Zhao, Xun Chen

Computers in Biology and Medicine

2020

Multigrained Attention Network for Infrared and Visible Image Fusion

Jing Li, Hongtao Huo, Chang Li, Ren-Hua Wang, Chenhong Sui, Zhao Liu

IEEE Transactions on Instrumentation and Measurement

2020

Chinese Sign Language Recognition Based on DTW-Distance-Mapping Features

Juan Cheng, Fulin Wei, Yü Liu, Chang Li, Qiang Chen, Xun Chen

Mathematical Problems in Engineering

2020

Multi-focus image fusion: A Survey of the state of the art

Yü Liu, Lei Wang, Juan Cheng, Chang Li, Xun Chen

Information Fusion

2020

A phase congruency‐based green fluorescent protein and phase contrast image fusion method in nonsubsampled shearlet transform domain

Wei Tang, Yü Liu, Juan Cheng, Chang Li, Hu Peng, Xun Chen

Microscopy Research and Technique

2020

AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks

Jing Li, Hongtao Huo, Chang Li, Ren-Hua Wang, Qi Feng

IEEE Transactions on Multimedia

2020

Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance

Jing Li, Hongtao Huo, Kejian Liu, Chang Li

Information Sciences

2020

Heart Rate Estimation From Facial Videos Using a Spatiotemporal Representation With Convolutional Neural Networks

Rencheng Song, Senle Zhang, Chang Li, Yunfei Zhang, Juan Cheng, Xun Chen

IEEE Transactions on Instrumentation and Measurement

2019

Robust Multichannel EEG Compressed Sensing in the Presence of Mixed Noise

Chang Li, Wei Tao, Juan Cheng, Yü Liu, Xun Chen

IEEE Sensors Journal

2019

Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study

Juan Cheng, Luchang Li, Chang Li, Yü Liu, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Access

2019

Infrared and Visible Image Fusion via Multi-discriminators Wasserstein Generative Adversarial Network

Jing Li, Hongtao Huo, Kejian Liu, Chang Li, Shuo Li, Xin Yang

IEEE International Conference on Machine Learning and Applications (ICMLA)

2019

New insights on super-high resolution for video-based heart rate estimation with a semi-blind source separation method

Rencheng Song, Senle Zhang, Juan Cheng, Chang Li, Xun Chen

Computers in Biology and Medicine

2019

Sparse unmixing of hyperspectral data with bandwise model

Chang Li, Yü Liu, Juan Cheng, Rencheng Song, Jiayi Ma, Chenhong Sui, Xun Chen

Information Sciences

2019

A Robust Algorithm for Multichannel Eeg Compressed Sensing with Mixed Noise

Wei Tao, Chang Li, Juan Cheng

IEEE Global Conference on Signal and Information Processing

2019

Unsupervised Manifold-Preserving and Weakly Redundant Band Selection Method for Hyperspectral Imagery

Chenhong Sui, Chang Li, Jie Feng, Xiaoguang Mei

IEEE Transactions on Geoscience and Remote Sensing

2019

Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection

Jing Li, Hongtao Huo, Chenhong Sui, Chenchen Jiang, Chang Li

IEEE Access

2018

Position-independent gesture recognition using sEMG signals via canonical correlation analysis

Juan Cheng, Fulin Wei, Chang Li, Yü Liu, Aiping Liu, Xun Chen

Computers in Biology and Medicine

2018

Hyperspectral Unmixing with Bandwise Generalized Bilinear Model

Chang Li, Yü Liu, Juan Cheng, Rencheng Song, Hu Peng, Qiang Chen, Xun Chen

Remote Sensing

2018

Spatial–Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising

Haiyan Fan, Chang Li, Yulan Guo, Gangyao Kuang, Jiayi Ma

IEEE Transactions on Geoscience and Remote Sensing

2016

一个基于像素编组和逐级质量控制的线段检测算子

李畅,魏东

《红外与毫米波学报》

预印本

2026

PACE: Pretrained Audio Continual Learning

Chang Li, Kanglei Zhou, Liyuan Wang

arXiv preprint

2026

Fibration Policy Optimization

Chang Li, Tshihao Tsu, Yaren Zhang, Chao Xue, Xiaodong He

arXiv preprint

2026

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency

Aichen Cai, Anmeng Zhang, Anyu Li, Bo Zhang, Bohua Cai, Chang Li, Changjian Jiang, Changkai Lu, Chao Xue, Chaocai Liang, Cheng Zhang, Dongkai Liu, Fei Wang, Guoqiang Huang, Haijian Ke, Han Lin, Hao Wang, Ji Miao, Jiacheng Zhang, Jialong Shi, Jifeng Zhu, Jingjing Qian, Junhui Luo, Junwu Xiong, Lam So, Liang Huang, Ming Ke, Mingyang Li, Panfeng Shi, Peng Hao, Qi Wang, Qian Lai, Qiaoqiao Yuan, Qingyu Yin, Qiong Cao, Qixiang Wang, Rongcheng Bian, Rongduo Han, Shaoqiang Zheng, Shi Hu, Shi Suo, Shijie Ren, Shijin Zhang, Shiying Fan, Shuai Xie, Tianyi Zhang, Wei Liu, Wentao Tan, Xianghan Meng, Xiaodong He, Xing Pan, Xiran Wang, Xuyang Peng, Ya Zhang, Yang Liu, Yangyang Duan, Yanxu Chen, Yicheng Gong, Yidan Huang, Yifei Liu, Yinhao Bai, Yongqiang Liu, Yuesong Zhang, Yuqi Zhang, Zerui Xie, Zhenfang Wang, Zhennan Shen, Zheyuan Liu, Zhuwei Zeng

arXiv preprint

2026

Stage-adaptive audio diffusion modeling

Xuanhao Zhang, Chang Li

arXiv preprint

2026

LLM-Driven Training-free Location-Attribute Synergic Fusion: A Closed-Loop Paradigm for Dual-source Encrypted POIs and LULC Mapping

Chang Li, Xingtao Peng, Yongjun Zhang, Yinfei He, Cairun Huang

arXiv preprint

2026

VISTA: An End-to-End Benchmark for Visual Spec-to-Web-App Coding Agents

JunJia Guo, Yuhang Yao, Chang Li, Zimeng Pan, Jiawei, Zhou, Jingdi Chen

arXiv preprint

2026

BriMA: Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment

Kanglei Zhou, Chang Li, Qingyi Pan, Liyuan Wang

arXiv preprint

2026

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration

Haoyuan Xu, Chang Li, Xinyan Ma, Xianhao Ou, Zihan Zhang, Tao He, Xiangyu Liu, Zixiang Wang, Jiafeng Liang, Zheng Chu, Runxuan Liu, Rongchuan Mu, Dandan Tu, Ming Liu, Bing Qin

arXiv preprint

2026

PAIQ: Patch-Aligned Semantic Injection via Residual Rotation

Pinze Ren, Yuwei Zhang, Hao Chen, Linghao Meng, Chang Li, Qiankun Li

arXiv preprint

2026

Exploring Efficient Waveform Diffusion Models for Foley Sound Generation

Runwu Shi, Chang Li, Jiahui Li, Jiang Wang, Yaozhong Kang, Nabeela Khan, Linghan Fang, Benjamin Yen, Takeshi Ashizawa, Kazuhiro Nakadai

arXiv preprint

2026

The Auton Agentic AI Framework

Sheng Cao, Zhao Chang, Chang Li, Hannan Li, Liyao Fu, Ji Tang

arXiv preprint

2026

Proactive Physical AI through Continuous Observation and Timely Intervention

Zhenhua Yang, Jiafeng Liang, Xingyu Zhou, Yi Jiang, Xiayu Cao, Zui Chen, Luqi Wang, Haiyang Sun, Yufei Xiang, Chang Li, Rongchuan Mu, Bowen Chi, Zihe Tong, Mingyu Li, Huijie Ma, Yiqiao Yang, Baoqi Ren, Zhiming Ma, Zhihao Zhu, Jiahao Ji, Zhuoyao Wang, Qianyu Wang, Xiangyu Liu, Wang Zixiang, Shunliang Zhang, Ming Liu, Xiaocheng Feng, Duyu Tang, Bing Qin

arXiv preprint

2026

Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine

Peisong Zhang, Manqiang Peng, Yuxuan Wu, Pawit Phadungsaksawasdi, Wesley Yeung, Ye Zhang, Trang Nguyen, Qiang Zhang, Nan Liu, Meng Wang, Kee Yuan Ngiam, Yih-Chung Tham, Ching-Yu Cheng, Tianfan Fu, Qingyu Chen, Rosemary Ke, Chang Li, Wenzhuo Yang, Zhenghao Lu, Chunyou Lai, Yu Zhang, Sheng Zhong, Hao Deng, Dianbo Liu

arXiv preprint

2026

Unifying Distributional Training for One-Step Visual Generation

Chi Zhang, Shi Haoyang, Yueyi Liu, Ruichuan An, Junkang Zhou, Chang Li, Xiuyuan Lu, Yichi Zhang, Bo Wang, Yuhang Wu, Sen Cui, Miao Liu

arXiv preprint

2025

Bridge-SR: Schrödinger Bridge for Efficient SR

Chang Li, Zehua Chen, Fan Bao, Jun Zhu

arXiv preprint

2025

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs

Chang Li, Yaren Zhang, Haoran Lv, Qiong Cao, Chao Xue, Xiaodong He

arXiv preprint

2025

Exploiting the Prior of Generative Time Series Imputation

YuYang Miao, Chang Li, Zehua Chen

arXiv preprint

2025

Audio Super-Resolution with Latent Bridge Models

Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu

arXiv preprint

2025

An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation

Dongjiang Li, Bo Peng, Chang Li, Ning Qiao, Qi Zheng, Lei Sun, Yusen Qin, Bangguo Li, Yifeng Luan, Bo Wu, Yibing Zhan, Mingang Sun, Tong Xu, Lusong Li, Hui Shen, Xiaodong He

arXiv preprint

2025

Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models

Canhui Wu, Qiong Cao, Chang Li, Zhenfang Wang, Chao Xue, Yuwei Fan, Wei Xi, Xiaodong He

arXiv preprint

2025

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo

Chang Li, Xingtao Peng

arXiv preprint

2025

Unsupervised Single-Channel Speech Separation with Diffusion under Speaker-Embedding Guidance

Runwu Shi, Kai Li, Yiyan Wang, Jiang Wang, Chang Li, Ragib Amin Nihal, Sihan Tan, Kazuhiro Nakadai

arXiv preprint

2025

Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis

Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin, Yang Wang, Xin Yang

arXiv preprint

2025

Latent Swap Joint Diffusion for 2D Long-Form Latent Generation

Yusheng Dai, Chenxi Wang, Chang Li, Chen Wang, Jun Du, Kewei Li, Ruoyu Wang, Jiefeng Ma, Lei Sun, Jianqing Gao

arXiv preprint

2025

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving

Yuxin Cao, Yedi Zhang, Wentao He, Yifan Liao, Yan Xiao, Chang Li, Zhiyong Huang, Jin Song Dong

arXiv preprint

2025

Trace Is In Sentences: Unbiased Lightweight ChatGPT-Generated Text Detector

Mo Mu, Dianqiao Lei, Chang Li

arXiv preprint

2025

Prompt-aware classifier free guidance for diffusion models

Xuanhao Zhang, Chang Li

arXiv preprint

2025

FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation

Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu

arXiv preprint

2025

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents

Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin

arXiv preprint

2025

Unsupervised Single-Channel Audio Separation with Diffusion Source Priors

Runwu Shi, Chang Li, Jiang Wang, Rui Zhang, Nabeela Khan, Benjamin Yen, Takeshi Ashizawa, Kazuhiro Nakadai

arXiv preprint

2025

AudioMoG: Guiding Audio Generation with Mixture-of-Guidance

Junyou Wang, Zehua Chen, Binjie Yuan, Kaiwen Zheng, Chang Li, Yuxuan Jiang, Jun Zhu

arXiv preprint

2024

Quality-aware Masked Diffusion Transformer for Enhanced Music Generation

Chang Li, Ruoyu Wang, Lijuan Liu, Jun Du, Yixuan Sun, Zilu Guo, Zhenrong Zhang, Yuan Jiang, Jianqing Gao, Feng Ma

arXiv preprint

2024

MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction

Chang Li, Jiao Guo, Yufei Zhao, Yongjun Zhang

arXiv preprint

2024

ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation

Chang Li, Pengfei Zhang, Yu Wang

arXiv preprint

2024

UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation

Pengfei Zhang, Chang Li, Yongjun Zhang, Rongjun Qin, Kyle Gao, Jonathan Li

arXiv preprint

2024

ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction

Chang Li, Yu Wang, Ce Zhang, Yongjun Zhang

arXiv preprint

2024

RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals

Yuyang Miao, Zehua Chen, Chang Li, Danilo Mandic

arXiv preprint

2023

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection

Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

arXiv preprint

2023

An Intelligent Remote Sensing Image Quality Inspection System

Yijiong Yu, Tao Wang, Kang Ran, Chang Li, Hao Wu

arXiv preprint

2023

An Improved Artificial Fish Swarm Algorithm for Solving the Problem of Investigation Path Planning

Qian Huang, Weiwen Qian, Chang Li, Xuan Ding

arXiv preprint

2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System

Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao

arXiv preprint

2023

DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition

Chang Li, Qian Huang, Yingchi Mao

arXiv preprint

2022

Coverage Optimization of Camera Network for Continuous Deformable Object

Chang Li, Xi Chen, Li Chai

arXiv preprint

2022

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao

arXiv preprint

2022

Positional uncertainty and quality assurance of digital elevation change detection (DECD)

Chang Li, Qi Meng, Dong Wei, Wenzhong Shi, Ming Hao

arXiv preprint

2022

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao

arXiv preprint

2021

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey

Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

arXiv preprint

2021

Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences

Chang Li, Qian Huang, Xing Li, Qianhan Wu

arXiv preprint

2021

Elastic Tactile Simulation Towards Tactile-Visual Perception

Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li

arXiv preprint

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