Enze Shi

According to our database, Enze Shi authored at least 29 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Non-Asymptotic Analysis of Online Local Private Learning with SGD.

Enze Shi, Jinhan Xie, Bei Jiang, Linglong Kong, Xuming He

CoRR, July, 2025

Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems.

Shuocun Yang, Huawen Hu, Enze Shi, Shu Zhang

CoRR, June, 2025

Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks.

Enze Shi, Linglong Kong, Bei Jiang

CoRR, April, 2025

Identifying influential nodes in brain networks via self-supervised graph-transformer.

Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang

Comput. Biol. Medicine, 2025

2024

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.

Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao

IEEE Trans. Neural Networks Learn. Syst., June, 2024

MEET: A Multi-Band EEG Transformer for Brain States Decoding.

Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang

IEEE Trans. Biomed. Eng., May, 2024

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling.

Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang

CoRR, 2024

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning.

Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang

CoRR, 2024

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.

Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang

CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang

CoRR, 2024

Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach.

Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang

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.

Enze Shi, Lei Ding, Linglong Kong, Bei Jiang

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.

Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang

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.

Qilong Yuan, Di Zhu, Enze Shi, Kui Zhao

Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024

A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection.

Kui Zhao, Yanqing Kang, Jinru Wu, Enze Shi, Di Zhu, Shu Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

TF-HiTNet: A Temporal-Frequency Hierarchical Transformer Network for EEG Motor Imagery Classification.

Chenxi Yue, Huawen Hu, Enze Shi, Shu Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding.

Qilong Yuan, Enze Shi, Kui Zhao, Di Zhu, Dingwen Zhang, Shu Zhang

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.

Xuhui Wang, Kui Zhao, Enze Shi, Sigang Yu, Geng Chen, Shu Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang

Comput. Medical Imaging Graph., September, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.

Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao

Neural Networks, August, 2023

Review of Large Vision Models and Visual Prompt Engineering.

Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.

Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding.

Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang

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.

Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang

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.

Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

MCCQF: Low-Latency Transmission Based on IEEE 802.1 Qch For Hierarchical Networking.

Yan Liu, Dajun Zhou, Shuangping Zhan, Yao Xin, Jiashuo Lin, Xingbo Feng, Enze Shi, Ye Qi, Gang Chen, Junqing Zheng, Yi Wang, Xiao Zheng

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.

Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang

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.

Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.

Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong

CoRR, 2021