Dengfeng Liu

16 papers B 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning.
CoRR
Xiaojun Wu, Xiaoguang Jiang, Huiyang Li, Jucai Zhai, Dengfeng Liu, Qiaobo Hao, Huang Liu, Zhiguo Yang, Ji Xie, Ninglun Gu, Jin Yang, Kailai Zhang, Yelun Bao, Jun Wang
2025 J jnl
CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair.
CoRR
Weixuan Sun, Jucai Zhai, Dengfeng Liu, Xin Zhang, Xiaojun Wu, Qiaobo Hao, AIMgroup, Yang Fang, Jiuyang Tang
2025 J jnl
Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion.
CoRR
Dengfeng Liu, Jucai Zhai, Xiaoguang Jiang, Ziqun Li, Qianjin Yu, Feng Liu, Rui Ye, Huang Liu, Zhiguo Yang, Yongsheng Du, Fang Tan
2024 J jnl
Distance Enhanced Hypergraph Learning for Dynamic Node Classification.
Neural Process. Lett.
Dengfeng Liu, Zhiqiang Pan, Shengze Hu, Fei Cai
2024 J jnl
Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management.
Sensors
Nian He, Dengfeng Liu, Zhichen Zhang, Zhiquan Lin, Tiesong Zhao, Yiwen Xu
2024 J jnl
Lightweight Deep Neural Network Model With Padding-Free Downsampling.
IEEE Signal Process. Lett.
Dengfeng Liu, Xiaohe Guo, Ning Wang, Qin Wu
2023 — conf
A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation.
DASC/PiCom/CBDCom/CyberSciTech
Dengfeng Liu, Yitong Wang, Fei Cai
2023 — conf
A Review: Data and Semantic Augmentation for Relation Classification in Low Resource.
ACAI
Peihong Li, Fei Cai, Siyuan Wang, Shixian Liu, Dengfeng Liu
2023 B conf
IF-Net: information fusion network for meibomian gland area and atrophy area segmentation.
Image Processing
Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang
2023 J jnl
Non-Intrusive Electric Load Monitoring Approach Based on Current Feature Visualization for Smart Energy Management.
CoRR
Yiwen Xu, Dengfeng Liu, Liangtao Huang, Zhiquan Lin, Tiesong Zhao, Sam Kwong
2022 — conf
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
Chaoqiang Ren, Dengfeng Liu
2019 — conf
Flat Folding Table Design Based on Multi-Objective Optimization Model.
AIAM (IEEE)
Haixin Yu, Yaqi Zhu, Dengfeng Liu
2019 — conf
Sun Shadow Localization Problem Based on Genetic Algorithm.
AIAM (IEEE)
Yaqi Zhu, Dengfeng Liu, Haixin Yu
2014 J jnl
A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard.
J. Intell. Fuzzy Syst.
Dengfeng Liu, Dong Wang, Jichun Wu, Yuankun Wang, Lachun Wang, Xinqing Zou, Yuanfang Chen, Xi Chen
2006 — conf
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification.
ISBI
Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos
2004 J jnl
Automated morphometric study of brain variation in XXY males.
NeuroImage
Dinggang Shen, Dengfeng Liu, Hong Liu, Liv S. Clasen, Jay N. Giedd, Christos Davatzikos