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2020 – today
- 2024
[j5]Dengfeng Liu, Zhiqiang Pan, Shengze Hu, Fei Cai:
Distance Enhanced Hypergraph Learning for Dynamic Node Classification. Neural Process. Lett. 56(5): 231 (2024)- [j4]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): 3109 (2024) - [j3]Dengfeng Liu, Xiaohe Guo, Ning Wang, Qin Wu:
Lightweight Deep Neural Network Model With Padding-Free Downsampling. IEEE Signal Process. Lett. 31: 865-869 (2024) - 2023
- [c7]Peihong Li, Fei Cai, Siyuan Wang, Shixian Liu, Dengfeng Liu:
A Review: Data and Semantic Augmentation for Relation Classification in Low Resource. ACAI 2023: 195-201 - [c6]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: 340-347 - [c5]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. Image Processing 2023 - [i1]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 abs/2308.11627 (2023) - 2022
- [c4]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: 739-744
2010 – 2019
- 2019
- [c3]Yaqi Zhu, Dengfeng Liu, Haixin Yu:
Sun Shadow Localization Problem Based on Genetic Algorithm. AIAM (IEEE) 2019: 267-272 - [c2]Haixin Yu, Yaqi Zhu, Dengfeng Liu:
Flat Folding Table Design Based on Multi-Objective Optimization Model. AIAM (IEEE) 2019: 608-612 - 2014
- [j2]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): 2409-2416 (2014)
2000 – 2009
- 2006
- [c1]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: 307-310 - 2004
- [j1]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): 648-653 (2004)
Coauthor Index
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