Dengfeng Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 9

Top Topics

Unsupervised Methods

Top Venues

IEEE Signal Process. Lett.

Publications

Nian He, Dengfeng Liu, Zhichen Zhang, Zhiquan Lin, Tiesong Zhao, Yiwen Xu
Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management. Sensors 24 (10) (2024)
Dengfeng Liu, Xiaohe Guo, Ning Wang, Qin Wu
Lightweight Deep Neural Network Model With Padding-Free Downsampling. IEEE Signal Process. Lett. 31 (2024)
Dengfeng Liu, Yitong Wang, Fei Cai
A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation. DASC/PiCom/CBDCom/CyberSciTech (2023)
Peihong Li, Fei Cai, Siyuan Wang, Shixian Liu, Dengfeng Liu
A Review: Data and Semantic Augmentation for Relation Classification in Low Resource. ACAI (2023)
Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang
IF-Net: information fusion network for meibomian gland area and atrophy area segmentation. Medical Imaging: Image Processing (2023)
Yiwen Xu, Dengfeng Liu, Liangtao Huang, Zhiquan Lin, Tiesong Zhao, Sam Kwong
Non-Intrusive Electric Load Monitoring Approach Based on Current Feature Visualization for Smart Energy Management. CoRR (2023)
Chaoqiang Ren, Dengfeng Liu
Light PaDiM for Unsupervised Defect Detection and Location: Aiming at the lack of unsupervised defect detection and location methods with fast, high precision and low memory in the field of industrial defect detection, a light Patch Distribution Modeling (PaDiM) method is proposed. ICCAI (2022)
Yaqi Zhu, Dengfeng Liu, Haixin Yu
Sun Shadow Localization Problem Based on Genetic Algorithm. AIAM (IEEE) (2019)
Haixin Yu, Yaqi Zhu, Dengfeng Liu
Flat Folding Table Design Based on Multi-Objective Optimization Model. AIAM (IEEE) (2019)
Dengfeng Liu, Dong Wang, Jichun Wu, Yuankun Wang, Lachun Wang, Xinqing Zou, Yuanfang Chen, Xi Chen
A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard. J. Intell. Fuzzy Syst. 27 (5) (2014)
Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. ISBI (2006)
Dinggang Shen, Dengfeng Liu, Hong Liu, Liv S. Clasen, Jay N. Giedd, Christos Davatzikos
Automated morphometric study of brain variation in XXY males. NeuroImage 23 (2) (2004)