Enze Shi
Orcid: 0000-0002-7416-8733
According to our database1,
Enze Shi
authored at least 32 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis.
CoRR, October, 2025
Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems.
CoRR, June, 2025
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks.
CoRR, April, 2025
Identifying influential nodes in brain networks via self-supervised graph-transformer.
Comput. Biol. Medicine, 2025
Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
HARP: Human-Assisted Regrouping With Permutation Invariant Critic for Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
2024
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Biomed. Eng., May, 2024
CoRR, 2024
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.
CoRR, 2024
CoRR, 2024
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
The NWPU-BBIC System for the ISCSLP 2024 Chinese Auditory Attention Decoding Challenge.
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
TF-HiTNet: A Temporal-Frequency Hierarchical Transformer Network for EEG Motor Imagery Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Comput. Medical Imaging Graph., September, 2023
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.
Neural Networks, August, 2023
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design.
Proceedings of the 9th International Conference on Communication and Information Processing, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR, 2021