Enze Shi - RankMe

36 papers A* 2Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Applying Pre-Trained Language Models on Multimodal Travel Behavior Prediction using Small-Sample Survey Data. ITSC Jiao Ye, Yuwei Yang, Zhongxi Qiu, Qi Yang, Kai Hu, Jun Chen, Enze Shi
2025	—	`conf`	BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner. MICCAI (7) Enze Shi, Huawen Hu, Qilong Yuan, Kui Zhao, Sigang Yu, Shu Zhang
2025	J	`jnl`	Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks. CoRR Enze Shi, Linglong Kong, Bei Jiang
2025	J	`jnl`	Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems. CoRR Shuocun Yang, Huawen Hu, Enze Shi, Shu Zhang
2025	A*	`conf`	HARP: Human-Assisted Regrouping With Permutation Invariant Critic for Multi-Agent Reinforcement Learning. ICRA Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang
2025	J	`jnl`	Identifying influential nodes in brain networks via self-supervised graph-transformer. Comput. Biol. Medicine Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang
2025	—	`conf`	Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset. MICCAI (13) Chenxi Yue, Huawen Hu, Qilong Yuan, Enze Shi, Jiaqi Wang, Kui Zhao, Xuhui Wang, Shu Zhang
2025	J	`jnl`	MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis. CoRR Peng Shu, Junhao Chen, Zhengliang Liu, Hanqi Jiang, Yi Pan, Khanh Nhu Nguyen, Zihao Wu, Huaqin Zhao, Yiwei Li, Enze Shi, Shaochen Xu
2025	J	`jnl`	Non-Asymptotic Analysis of Online Local Private Learning with SGD. CoRR Enze Shi, Jinhan Xie, Bei Jiang, Linglong Kong, Xuming He
2025	J	`jnl`	TF-MEET: A Transferable Fusion Multi-Band Transformer for Cross-Session EEG Decoding. CAAI Trans. Intell. Technol. Qilong Yuan, Enze Shi, Di Zhu, Xiaoshan Zhang, Kui Zhao, Dingwen Zhang, Tianming Liu, Shu Zhang
2025	J	`jnl`	Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis. CoRR Enze Shi, Pankaj Bhagwat, Zhixian Yang, Linglong Kong, Bei Jiang
2024	—	`conf`	A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection. ISBI Kui Zhao, Yanqing Kang, Jinru Wu, Enze Shi, Di Zhu, Shu Zhang
2024	—	`conf`	A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding. BIBM Qilong Yuan, Enze Shi, Kui Zhao, Di Zhu, Dingwen Zhang, Shu Zhang
2024	J	`jnl`	An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. IEEE Trans. Neural Networks Learn. Syst. Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao
2024	—	`conf`	DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. MICCAI (2) Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang
2024	—	`conf`	Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. NAACL-HLT Enze Shi, Lei Ding, Linglong Kong, Bei Jiang
2024	J	`jnl`	FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling. CoRR Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang
2024	J	`jnl`	HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning. CoRR Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang
2024	J	`jnl`	Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. CoRR Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang
2024	J	`jnl`	Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. CoRR 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
2024	J	`jnl`	MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang
2024	A*	`conf`	Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach. NeurIPS Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang
2024	—	`conf`	ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding. BIBM Xuhui Wang, Kui Zhao, Enze Shi, Sigang Yu, Geng Chen, Shu Zhang
2024	—	`conf`	TF-HiTNet: A Temporal-Frequency Hierarchical Transformer Network for EEG Motor Imagery Classification. BIBM Chenxi Yue, Huawen Hu, Enze Shi, Shu Zhang
2024	—	`conf`	The NWPU-BBIC System for the ISCSLP 2024 Chinese Auditory Attention Decoding Challenge. ISCSLP Qilong Yuan, Di Zhu, Enze Shi, Kui Zhao
2023	—	`conf`	A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design. ICCIP Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang
2023	—	`conf`	A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. MICCAI (1) Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang
2023	J	`jnl`	Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao
2023	—	`conf`	Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang
2023	—	`conf`	MCCQF: Low-Latency Transmission Based on IEEE 802.1 Qch For Hierarchical Networking. ICC Yan Liu, Dajun Zhou, Shuangping Zhan, Yao Xin, Jiashuo Lin, Xingbo Feng, Enze Shi, Ye Qi, Gang Chen, Junqing Zheng, Yi Wang, Xiao Zheng
2023	J	`jnl`	MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. Comput. Medical Imaging Graph. Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang
2023	J	`jnl`	Prompt Engineering for Healthcare: Methodologies and Applications. CoRR 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
2023	J	`jnl`	Review of Large Vision Models and Visual Prompt Engineering. CoRR 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
2022	—	`conf`	A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. MMMI@MICCAI Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang
2022	—	`conf`	A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. MLMI@MICCAI Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang
2021	J	`jnl`	Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm. CoRR Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong