Intelligent Simulation on Phosphate in One Trough Based on Neural Network. - Lifang Chen; Liang Chen; Jiantao Gu; Xiaomei Yuan (WGEC, 2009)

Improvement of redundancy principle for multimedia technical foreign-language learning. - Jin-Hua She; Hui Wang; Lifang Chen; Sumei Chen (Int. J. Comput. Appl. Technol., 2009)

RBF neural network modeling based on PCA clustering analysis. - Lifang Chen; Xiao Lu; Zhidian Du (GrC, 2014)

A Fourier model of periodic dynamic speech balloons. - Ruimin Lyu; Mandi Xu; Lei Meng; Wei Chen; Lifang Chen (SIGGRAPH ASIA Posters, 2014)

Hidden Conditional Random Fields for Action Recognition. - Lifang Chen; Nico Van der Aa; Robby T. Tan; Remco C. Veltkamp (VISAPP (2), 2014)

基于粒计算的哈夫曼树SVM多分类模型研究 (Research of SVM Multiclass Model Based on Granular Computing & Huffman Tree). - Lifang Chen; Liang Chen; Baoxiang Liu (计算机科学, 2016)

Lunar craters visualization based on orthogonal spline basis. - Wei Chen; Lifang Chen (ICIS, 2017)

A flexible finger-mounted airbrush model for immersive freehand painting. - Ruimin Lyu; Yuefeng Ze; Wei Chen; Fei Chen 010; Yuan Liu 021; Lifang Chen; Haojie Hao (ICIS, 2017)

A New Intelligent Jigsaw Puzzle Algorithm Base on Mixed Similarity and Symbol Matrix. - Lifang Chen; Dai Cao; Yuan Liu 021 (Int. J. Pattern Recognit. Artif. Intell., 2018)

基于粒计算的极限学习机模型设计与应用 (Design and Application of Extreme Learning Machine Model Based on Granular Computing). - Lifang Chen; Qi Dai; Qifeng Fu (计算机科学, 2018)

Distribution-aware cache replication for cooperative road side units in VANETs. - Fei Chen 010; Detian Zhang; Jian Zhang 054; Xiaofeng Wang; Lifang Chen; Yuan Liu 021; Jiangchuan Liu (Peer-to-Peer Netw. Appl., 2018)

An Unsupervised Monocular Image Depth Prediction Algorithm Based on Multiple Loss Deep Learning. - Xiaojiao Tang; Lifang Chen (IEEE Access, 2019)

Further results on stability and synchronization of fractional-order Hopfield neural networks. - Feng-Xian Wang; Xinge Liu; Meilan Tang; Lifang Chen (Neurocomputing, 2019)

A Research of Neural Style Transfer on Line Structure Based on Sequence to Sequence Learning. - Wei He; Lifang Chen (IEEE Access, 2020)

Chinese Live-streaming Barrage Chatbot Combined with User Vectors. - Yu Shi; Lifang Chen; Yuan Liu 021 (CCEAI, 2021)

Green Clothing Design Based on Computer Aided Design in Ecological Times. - Lifang Chen; Wei Ding (ICISCAE (ACM), 2021)

Robust corner detection with fractional calculus for magnetic resonance imaging. - Xiang Pan; Jing Zhu; Hongbin Yu; Lifang Chen; Yuan Liu 021; Lihua Li 002 (Biomed. Signal Process. Control., 2021)

ELF-Net: Enriching local features network for 3D point cloud classification and semantic segmentation. - Lifang Chen; Mengru Wei (J. Intell. Fuzzy Syst., 2021)

Degradation-Oriented Adaptive Network for Blind Super-Resolution. - Shuo Wang; Lifang Chen (CECNet, 2022)

Identifying cardiomegaly in chest x-rays using dual attention network. - Lifang Chen; Tengfei Mao; Qian Zhang (Appl. Intell., 2022)

Three New Arnoldi-Type Methods for the Quadratic Eigenvalue Problem in Rotor Dynamics. - Dong Li; Lifang Chen (CoRR, 2022)

Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block. - Yunhao Chen; Yunjie Zhu; Zihui Yan; Lifang Chen (CoRR, 2022)

An unsupervised monocular image depth prediction algorithm using Fourier domain analysis. - Lifang Chen; Xiaojiao Tang (IET Signal Process., 2022)

Feature fusion network for clothing parsing. - Lifang Chen; Enting Yu; Honglian Cong (Int. J. Mach. Learn. Cybern., 2022)

Real-time monitoring system of cyanobacteria blooms using deep learning approach. - Lifang Chen; Yu Shi; Yuanxin Du (Multim. Tools Appl., 2022)

SECPNet - secondary encoding network for estimating camera parameters. - Defeng Liu; Lifang Chen (Vis. Comput., 2022)

Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block. - Yunhao Chen; Yunjie Zhu; Zihui Yan; Zhen Ren; Yifan Huang; Jianlu Shen; Lifang Chen (ICIC (2), 2023)

TMTrans: texture mixed transformers for medical image segmentation. - Lifang Chen; Tao Wang; Hongze Ge (AI Commun., 2023)

CrossFormer: Multi-scale cross-attention for polyp segmentation. - Lifang Chen; Hongze Ge; Jiawei Li (IET Image Process., 2023)

DDGCN: graph convolution network based on direction and distance for point cloud learning. - Lifang Chen; Qian Zhang (Vis. Comput., 2023)

TransPIFu: Combining Transformer and Pixel-Aligned Implicit Function for Single-view Clothed Human Reconstruction. - Lifang Chen; Jianghu Su; Shiyong Luo (Comput. Graph., 2023)

Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm. - Yu Tang; Qi Dai; Mengyuan Yang 003; Tony Du; Lifang Chen (Int. J. Mach. Learn. Cybern., 2023)

CTUNet: automatic pancreas segmentation using a channel-wise transformer and 3D U-Net. - Lifang Chen; Li Wan (Vis. Comput., 2023)

TBUnet: A Pure Convolutional U-Net Capable of Multifaceted Feature Extraction for Medical Image Segmentation. - Lifang Chen; Jiawei Li; Hongze Ge (J. Medical Syst., 2023)

Lightweight intrusion detection model based on CNN and knowledge distillation. - Long-Hui Wang; Qi Dai; Tony Du; Lifang Chen (Appl. Soft Comput., 2024)

SP-SeaNeRF: Underwater Neural Radiance Fields with strong scattering perception. - Lifang Chen; Yuchen Xiong; Yanjie Zhang; Ruiyin Yu; Lian Fang; Defeng Liu (Comput. Graph., 2024)

Class-overlap detection based on heterogeneous clustering ensemble for multi-class imbalance problem. - Qi Dai; Long-hui Wang; Kai-long Xu; Tony Du; Lifang Chen (Expert Syst. Appl., 2024)

A software defect prediction method based on learnable three-line hybrid feature fusion. - Yu Tang; Qi Dai; Ye Du 001; Lifang Chen; Xuanwen Niu (Expert Syst. Appl., 2024)

GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self-attention. - Lifang Chen; Shanglai Wang; Li Wan; Jianghu Su; Shunfeng Wang (IET Comput. Vis., 2024)

Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine. - Yu Tang; Qi Dai; Mengyuan Yang; Lifang Chen; Ye Du 001 (Clust. Comput., 2024)

Style Transfer for Underwater Image Enhancement Combining Red Channel Prior and Feature Matching. - Lifang Chen; Yanjie Zhang; Lian Fang; Yuchen Xiong (ICIC (18), 2025)

Novel resampling algorithms with maximal cliques for class-imbalance problems. - Long-hui Wang; Qi Dai; Tony Du; Lifang Chen (Comput. Ind. Eng., 2025)

A mutually supervised heterogeneous selective ensemble learning framework based on matrix decomposition for class imbalance problem. - Qi Dai; Xu Zhou; Jia-peng Yang; Tony Du; Lifang Chen (Expert Syst. Appl., 2025)

GQEO: Nearest neighbor graph-based generalized quadrilateral element oversampling for class-imbalance problem. - Qi Dai; Longhui Wang; Jing Zhang; Weiping Ding 001; Lifang Chen (Neural Networks, 2025)