Automated morphometric study of brain variation in XXY males. - Dinggang Shen; Dengfeng Liu; Hong Liu; Liv S. Clasen; Jay N. Giedd; Christos Davatzikos (NeuroImage, 2004)

Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. - Zhiqiang Lao; Dinggang Shen; Abbas Jawad; Bilge Karaçali; Dengfeng Liu; Elias R. Melhem; R. Nick Bryan; Christos Davatzikos (ISBI, 2006)

A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard. - Dengfeng Liu; Dong Wang; Jichun Wu; Yuankun Wang; Lachun Wang; Xinqing Zou; Yuanfang Chen; Xi Chen (J. Intell. Fuzzy Syst., 2014)

Flat Folding Table Design Based on Multi-Objective Optimization Model. - Haixin Yu; Yaqi Zhu; Dengfeng Liu (AIAM (IEEE), 2019)

Sun Shadow Localization Problem Based on Genetic Algorithm. - Yaqi Zhu; Dengfeng Liu; Haixin Yu (AIAM (IEEE), 2019)

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. - Chaoqiang Ren; Dengfeng Liu (ICCAI, 2022)

A Review: Data and Semantic Augmentation for Relation Classification in Low Resource. - Peihong Li; Fei Cai; Siyuan Wang; Shixian Liu; Dengfeng Liu (ACAI, 2023)

A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation. - Dengfeng Liu; Yitong Wang; Fei Cai (DASC/PiCom/CBDCom/CyberSciTech, 2023)

IF-Net: information fusion network for meibomian gland area and atrophy area segmentation. - Dengfeng Liu; Weifang Zhu; Xinyu Zhuang; Xiaofeng Zhang; Xinjian Chen 001; Fei Shi; Dehui Xiang (Image Processing, 2023)

Non-Intrusive Electric Load Monitoring Approach Based on Current Feature Visualization for Smart Energy Management. - Yiwen Xu; Dengfeng Liu; Liangtao Huang; Zhiquan Lin; Tiesong Zhao; Sam Kwong (CoRR, 2023)

Lightweight Deep Neural Network Model With Padding-Free Downsampling. - Dengfeng Liu; Xiaohe Guo; Ning Wang 039; Qin Wu (IEEE Signal Process. Lett., 2024)

Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management. - Nian He; Dengfeng Liu; Zhichen Zhang; Zhiquan Lin; Tiesong Zhao; Yiwen Xu (Sensors, 2024)

Distance Enhanced Hypergraph Learning for Dynamic Node Classification. - Dengfeng Liu; Zhiqiang Pan; Shengze Hu; Fei Cai (Neural Process. Lett., 2024)

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion. - Dengfeng Liu; Jucai Zhai; Xiaoguang Jiang; Ziqun Li; Qianjin Yu; Feng Liu; Rui Ye; Huang Liu; Zhiguo Yang; Yongsheng Du; Fang Tan (CoRR, 2025)

Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning. - Xiaojun Wu; Xiaoguang Jiang; Huiyang Li; Jucai Zhai; Dengfeng Liu; Qiaobo Hao; Huang Liu; Zhiguo Yang; Ji Xie; Ninglun Gu; Jin Yang; Kailai Zhang; et al. (CoRR, 2025)