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Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG 期刊论文
NEURAL NETWORKS, 2026, 卷号: 193, 页码: 12
作者:  Xu, Chen-Yang;  Fan, Fei-Yi;  Zhao, Li-Xuan;  Jin, Li-Cheng;  Zhang, Yong-Hui;  Meng, Qing-Hao
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
MDD detection  Sub-domain knowledge alignment (SDKA)  Temporal-frequency-spatial transformer (TFST)  Frequency attention (FA)  
DCHF_T: A multi-dimensional adaptive compression approach for transformer-based models 期刊论文
NEUROCOMPUTING, 2025, 卷号: 656, 页码: 12
作者:  Yan, Yaoyao;  Wang, Da;  Ye, Jing;  Yu, Hui;  Lu, Dianjie;  Zhang, Yuang;  Xu, Weizhi;  Liu, Fang'ai
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Transformer  Dynamic token compression  Pruning  Multi-dimensional adaptive compression  
STP: Special token prompt for parameter-efficient tuning of pre-trained language models 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 284, 页码: 10
作者:  Yan, Yaoyao;  Yu, Hui;  Wang, Da;  Ye, Jing;  Liu, Fang'ai;  Xu, Weizhi
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Fine-tuning  Special token prompt  Transformer  Attention weight distribution  
Transformer based on regression model for the denoising of X-ray pulsar profiles 期刊论文
ADVANCES IN SPACE RESEARCH, 2025, 卷号: 76, 期号: 2, 页码: 1068-1079
作者:  Ng, Zhiwei Hua;  Zong, Hua;  Ao, Liming;  Lu, Kunfeng;  Ie, Yujia;  Xu, Qian
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Pulsar profile denoising  Transformer  X-ray pulsar-based navigation  
Fast and Scalable Neural Network Quantum States Method for Molecular Potential Energy Surfaces 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2025, 卷号: 36, 期号: 7, 页码: 1431-1443
作者:  Wu, Yangjun;  Cao, Wanlu;  Zhao, Jiacheng;  Shang, Honghui
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Artificial neural networks  Computational efficiency  Training  Wave functions  Quantum state  Computational modeling  Optimization  Electrons  Convergence  Potential energy  Quantum computational chemistry  many-body Schr & ouml  neural network quantum state  transformer based architecture  autoregressive sampling  potential energy surfaces  dinger equation  
ETBench: Characterizing Hybrid Vision Transformer Workloads Across Edge Devices 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2025, 卷号: 74, 期号: 6, 页码: 1857-1871
作者:  Zhou, Yingkun;  Tian, Zhengshuyuan;  Yang, Wenhao;  Zhang, Tingting;  Ye, Jinpeng;  Han, Chenji;  Liu, Tianyi;  Zhang, Fuxin
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Benchmark  deep learning  edge devices  vision transformer  hybrid model  Benchmark  deep learning  edge devices  vision transformer  hybrid model  
HEAT: Efficient Vision Transformer Accelerator With Hybrid-Precision Quantization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2025, 卷号: 72, 期号: 5, 页码: 758-762
作者:  Zhao, Pan;  Xue, Donghui;  Wu, Licheng;  Chang, Liang;  Tan, Haining;  Han, Yinhe;  Zhou, Jun
收藏  |  浏览/下载：16/0  |  提交时间：2025/06/25
Vision transformer  accelerator  hybrid-precision quantization  FPGA  Vision transformer  accelerator  hybrid-precision quantization  FPGA  
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction 期刊论文
INFORMATION FUSION, 2025, 卷号: 113, 页码: 15
作者:  Yu, Chengqing;  Wang, Fei;  Wang, Yilun;  Shao, Zezhi;  Sun, Tao;  Yao, Di;  Xu, Yongjun
收藏  |  浏览/下载：46/0  |  提交时间：2024/12/06
Air quality prediction  Multi-Granularity Spatiotemporal Fusion  Transformer  Spatiotemporal correlation  Multi-source information fusion  
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2025, 卷号: 99, 页码: 15
作者:  Wang, Qiyuan;  Zhao, Shang;  Xu, Zikang;  Zhou, S. Kevin
收藏  |  浏览/下载：33/0  |  提交时间：2025/06/25
Surgical data science  Stereo-temporal modeling  Set classifier  Query-based segmentation  Transformer  
LighTN: Light-Weight Transformer Network for Performance-Overhead Tradeoff in Point Cloud Downsampling 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 卷号: 27, 页码: 832-847
作者:  Wang, Xu;  Jin, Yi;  Cen, Yigang;  Wang, Tao;  Tang, Bowen;  Li, Yidong
收藏  |  浏览/下载：18/0  |  提交时间：2025/06/25
Task analysis  Point cloud compression  Transformers  Feature extraction  Voltage transformers  Three-dimensional displays  Deep learning  Point cloud  deep learning  downsampling  transformer  energy-efficient