Qing Li

28 papers Misc 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decoding the brain via multi-view brain topology contrastive learning.
Pattern Recognit.
Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu
2026 J jnl
Graph pre-trained framework with spatio-temporal importance masking and fine-grained optimizing for neural decoding.
Pattern Recognit.
Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu
2026 J jnl
Hands-Free Mobility Control: A Low-Latency Asynchronous MI-BCI System for Real-Time Robotic Navigation With Cognitive-Ergonomic Enhancement.
IEEE Trans. Hum. Mach. Syst.
Qing Li, Qi Huang, Wei Jiang, Zexi Song, Xia Wu
2025 J jnl
A Brain-Inspired Harmonized Learning With Concurrent Arbitration for Enhancing Motion Planning in Fuzzy Environments.
IEEE Trans. Fuzzy Syst.
Tianyuan Jia, Chaoqiong Fan, Qing Li, Ziyu Li, Li Yao, Xia Wu
2025 J jnl
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification.
CoRR
Kexin Di, Xiuxing Li, Yuyang Han, Ziyu Li, Qing Li, Xia Wu
2025 J jnl
BrainyHGNN: Brain-Inspired Memory Retrieval and Cross-Modal Interaction for Emotion Recognition in Conversations.
IEEE Trans. Circuits Syst. Video Technol.
Qixin Wang, Ziyu Li, Xiuxing Li, Tianyuan Jia, Qing Li, Li Yao, Xia Wu
2025 J jnl
BrainyMP: Enhancing Motion Planning Using Graph Neural Network Inspired by Brain Spatial Relational Memory.
IEEE Trans. Intell. Transp. Syst.
Tianyuan Jia, Ziyu Li, Qing Li, Xiuxing Li, Xia Wu
2024 J jnl
BLSAN: A Brain Lateralization-Guided Subject Adaptive Network for Motor Imagery Classification.
IEEE Signal Process. Lett.
Fulin Wei, Xueyuan Xu, Qing Li, Xiuxing Li, Xia Wu
2024 J jnl
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding.
IEEE J. Biomed. Health Informatics
Ziyu Li, Qing Li, Zhiyuan Zhu, Zhongyi Hu, Xia Wu
2024 — conf
Visual Explanations of Deep Convolutional Neural Network for EEG Brain Fingerprint.
ISBI
Shihao Zhang, Zhaodi Pei, Haonan Mou, Wenting Yang, Qing Li, Xia Wu
2023 J jnl
EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition.
IEEE Trans. Affect. Comput.
Xueyuan Xu, Tianyuan Jia, Qing Li, Fulin Wei, Long Ye, Xia Wu
2023 — conf
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
2023 J jnl
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
2023 — conf
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.
ADMA (3)
Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu
2023 J jnl
Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method.
IEEE J. Biomed. Health Informatics
Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu
2022 J jnl
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition.
IEEE Trans. Biomed. Eng.
Qing Li, Wei Zhang, Lin Zhao, Xia Wu, Tianming Liu
2022 — conf
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
MLMI@MICCAI
Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu
2021 J jnl
Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform.
IEEE J. Biomed. Health Informatics
Han Zhang, Rui Li, Xiaotong Wen, Qing Li, Xia Wu
2021 J jnl
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition.
Medical Image Anal.
Qing Li, Xia Wu, Tianming Liu
2020 — conf
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.
MICCAI (7)
Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu
2020 — conf
Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.
ISBI
Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu
2019 — conf
A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion.
MICCAI (3)
Wenyan Xu, Qing Li, Zhiyuan Zhu, Xia Wu
2019 — conf
Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.
MICCAI (3)
Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu
2019 — conf
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
IPMI
Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu
2017 J jnl
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
Frontiers Comput. Neurosci.
Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Alzheimer's Disease Neuroimaging Initiative
2017 Misc conf
Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease.
DICTA
Qing Li, Xia Wu, Lele Xu, Li Yao, Kewei Chen
2017 J jnl
Multi-feature kernel discriminant dictionary learning for face recognition.
Pattern Recognit.
Xia Wu, Qing Li, Lele Xu, Kewei Chen, Li Yao
2017 J jnl
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.
Comput. Methods Programs Biomed.
Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Rui Li