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- 教师拼音名称： dongwei
- 电子邮箱： 28380eff625a36deb8a89eec433bde6456108b2fed22b211029051be04dfbf31f3cd047a8b2b577ed897802698a6d00f46cfc2643a040cdf06d4c7011d7830fd280c54aa5070cfd9b715264c5545e2d43d2303751cb3c365d398a86a310285cad3f5be0c6aa94956e0ffd54bcc79101191de1e9d80746782be151c97f703f376
- 所在单位： 信息与控制工程学院
- 性别： 男
- 在职信息： 在职
- 董玮,Ying Li,Junsheng Wu,Weigang Li,Aiqing Fang.Temporal–Spatial Dynamic Convolutional Neural Network for Human Activity Recognition Using Wearable Sensors:IEEE Transactions on Instrumentation and Measurement,2023
- 董玮,申恒涛,林智君,闫庆森,张号逵,王鹏,杨阳,孙源,杨毅婷,张兴.Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation:Conference on Neural Information Processing Systems,2024
- 董玮,Peng Wang,闫大伟.Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment:IEEE Transactions on Pattern Analysis and Machine Intelligence,2024
- 董玮,Junsheng Wu,Yi Luo,Zongyuan Ge,Peng Wang.Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization:Computer Vision and Pattern Recognition,2022
- 董玮,闫庆森,吴鹏,Duwei Dai,Shuhang Gu,张艳宁,胡涛.Efficient Image Enhancement with A Diffusion-Based Frequency Prior:IEEE Transactions on Circuits and Systems for Video Technology,2025
- 董玮,闫庆森,Axi Niu,Chaoqun Wang,Marcin Woźniak,张艳宁.KGSR: A kernel guided network for real-world blind super-resolution:Pattern Recognition,2023
- 董玮,闫大伟,沈春华,Pengcheng Li,Yang Li,Hao Chen,Qingguo Chen,Weihua Luo,闫庆森,张号逵.TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings:AAAI Conference on Artificial Intelligence,2025
- 董玮,闫庆森,Marcin Woźniak,王海申,马一帆,刘宇航,张艳宁.Uncertainty estimation in HDR imaging with Bayesian neural networks:Pattern Recognition,2024
- 董玮,闫庆森,Hao Tang,Yu Zhu,Luc Van Gool,张艳宁,胡涛,孙源.Toward High-Quality HDR Deghosting With Conditional Diffusion Models:IEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Circuits and Systems for Video Technology,2023
- 董玮,Junsheng Wu,Zongwen Bai,Weigang Li,Wei Qiao.Design of Affinity-aware Encoding by Embedding Graph Centrality for Graph Classification:Neurocomputing,2020
