Open source solution to Geospatial Infrastructure for DEMETER observation data archives. - Chaoliang Wang; Xianfeng Song; Fangzhou Xu (Geoinformatics, 2010)

Earthquake Prediction Based on Levenberg-Marquardt Algorithm Constrained Back-Propagation Neural Network Using DEMETER Data. - Lingling Ma 001; Fangzhou Xu; Xinhong Wang; Lingli Tang (KSEM, 2010)

DataLab: a version data management and analytics system. - Yang Zhang; Fangzhou Xu; Erwin Frise; Siqi Wu; Bin Yu 001; Wei Xu 005 (BIGDSE@ICSE, 2016)

Using Fractal and Local Binary Pattern Features for Classification of ECOG Motor Imagery Tasks Obtained from the Right Brain Hemisphere. - Fangzhou Xu; Weidong Zhou; Yilin Zhen; Qi Yuan; Qi Wu (Int. J. Neural Syst., 2016)

DataLab: Introducing Software Engineering Thinking into Data Science Education at Scale. - Yang Zhang; Tingjian Zhang; Yongzheng Jia; Jiao Sun; Fangzhou Xu; Wei Xu 005 (ICSE-SEET, 2017)

Gray Image Reconstruction Algorithm Based 1p Optimization for Sparse Representation. - Haiying Liu; Junmei Guo; Fangzhou Xu; Lixia Deng; Hui Zhang 040 (iThings/GreenCom/CPSCom/SmartData, 2018)

Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer. - Jian Lian; Sujuan Hou; Xiaodan Sui; Fangzhou Xu; Yuanjie Zheng (IET Comput. Vis., 2018)

Epileptic EEG Identification via LBP Operators on Wavelet Coefficients. - Qi Yuan; Weidong Zhou; Fangzhou Xu; Yan Leng; Dongmei Wei (Int. J. Neural Syst., 2018)

Using Long Short- Term Memory Network for Recognizing Motor Imagery Tasks. - Xiaoyan Xu; Fangzhou Xu; Minglei Shu; Yingchun Zhang; Qi Yuan; Yuanjie Zheng (CIVEMSA, 2019)

Classification of Motor Imagery Electrocorticogram Signals for Brain-Computer Interface*. - Wenfeng Zheng; Fangzhou Xu; Minglei Shu; Yingchun Zhang; Qi Yuan; Jian Lian; Yuanjie Zheng (NER, 2019)

Face Identification With Top-Push Constrained Generalized Low-Rank Approximation of Matrices. - Yuanjian Chen; Yanna Zhao; Yunlong He; Fangzhou Xu; Weikuan Jia; Jian Lian; Yuanjie Zheng (IEEE Access, 2019)

Automatic seizure detection based on kernel robust probabilistic collaborative representation. - Zuyi Yu; Weidong Zhou; Fan Zhang 038; Fangzhou Xu; Shasha Yuan; Yan Leng; Yang Li; Qi Yuan (Medical Biol. Eng. Comput., 2019)

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. - Shasha Yuan; Jin-Xing Liu 001; Junliang Shang; Fangzhou Xu; Lingyun Dai; Xiangzhen Kong (BIBM, 2020)

BusTr: Predicting Bus Travel Times from Real-Time Traffic. - Richard Barnes 002; Senaka Buthpitiya; James Cook; Alex Fabrikant; Andrew Tomkins; Fangzhou Xu (KDD, 2020)

Scalp EEG classification using deep Bi-LSTM network for seizure detection. - Xinmei Hu; Shasha Yuan; Fangzhou Xu; Yan Leng; Kejiang Yuan; Qi Yuan (Comput. Biol. Medicine, 2020)

Channel and Feature Selection for a Motor Imagery-Based BCI System Using Multilevel Particle Swarm Optimization. - Yingji Qi; Feng Ding; Fangzhou Xu; Jimin Yang (Comput. Intell. Neurosci., 2020)

Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network. - Zuyi Yu; Weiwei Nie; Weidong Zhou; Fangzhou Xu; Shasha Yuan; Yan Leng; Qi Yuan (J. Supercomput., 2020)

Optimization of Orderly Charge and Discharge Behavior of Electric Vehicles in Distribution Network Based on Data Mining. - Xiaojie Zhou; Fangzhou Xu; Zhenhan Zhou; Xintong Gu; Yang Xuan (SPIoT (1), 2021)

EEG-Based Seizure detection using linear graph convolution network with focal loss. - Yanna Zhao; Changxu Dong; Gaobo Zhang; Yaru Wang; Xin Chen; Weikuan Jia; Qi Yuan; Fangzhou Xu; Yuanjie Zheng (Comput. Methods Programs Biomed., 2021)

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. - Delu Ma; Shasha Yuan; Junliang Shang; Jin-Xing Liu 001; Lingyun Dai; Xiangzhen Kong; Fangzhou Xu (Int. J. Neural Syst., 2021)

Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals. - Yanna Zhao; Gaobo Zhang; Changxu Dong; Qi Yuan; Fangzhou Xu; Yuanjie Zheng (Int. J. Neural Syst., 2021)

CAF-RRT*: A 2D Path Planning Algorithm Based on Circular Arc Fillet Method. - Binpeng Wang; Dianyuan Ju; Fangzhou Xu; Chao Feng 003; Guanglong Xun (IEEE Access, 2022)

A framework for motor imagery with LSTM neural network. - Fangzhou Xu; Xiaoyan Xu; Yanan Sun; Jincheng Li; Gege Dong; Yuandong Wang; Han Li; Lei Wang 078; Yingchun Zhang; Shaopeng Pang; Sen Yin (Comput. Methods Programs Biomed., 2022)

Spatial Enhanced Pattern Through Graph Convolutional Neural Network for Epileptic EEG Identification. - Jian Lian; Fangzhou Xu (Int. J. Neural Syst., 2022)

Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery. - Fangzhou Xu; Gege Dong; Jincheng Li; Qingbo Yang; Lei Wang 060; Yanna Zhao; Yihao Yan; Jinzhao Zhao; Shaopeng Pang; Dongju Guo; Yang Zhang; Jiancai Leng (Int. J. Neural Syst., 2022)

Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning. - Yanna Zhao; Mingrui Xue; Changxu Dong; Jiatong He; Dengyu Chu; Gaobo Zhang; Fangzhou Xu; Xinting Ge; Yuanjie Zheng (Int. J. Neural Syst., 2022)

Abnormal actions detection of robotic arm via 3D convolution neural network and support vector data description. - Qingbo Yang; Fangzhou Xu; Jiancai Leng (J. Intell. Fuzzy Syst., 2022)

EEG decoding method based on multi-feature information fusion for spinal cord injury. - Fangzhou Xu; Jincheng Li; Gege Dong; Jianfei Li; Xinyi Chen; Jianqun Zhu; Jinglu Hu; Yang Zhang; Shouwei Yue; Dong Wen 002; Jiancai Leng (Neural Networks, 2022)

One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain. - Fangzhou Xu; Chongfeng Wang; Xin Yu; Jinzhao Zhao; Ming Liu; Jiaqi Zhao; Licai Gao; Xiuquan Jiang; Zhaoxin Zhu; Yongjian Wu; Dezheng Wang; Shanxin Feng; et al. (Int. J. Neural Syst., 2023)

Hybrid Attention Network for Epileptic EEG Classification. - Yanna Zhao; Jiatong He; Fenglin Zhu; Tiantian Xiao; Yongfeng Zhang; Ziwei Wang; Fangzhou Xu; Yi Niu (Int. J. Neural Syst., 2023)

Multi-path exploration guided by taint and probability against evasive malware. - Fangzhou Xu; Wang Zhang; Weizhong Qiang; Hai Jin 001 (Secur. Saf., 2023)

Interactive local and global feature coupling for EEG-based epileptic seizure detection. - Yanna Zhao; Dengyu Chu; Jiatong He; Mingrui Xue; Weikuan Jia; Fangzhou Xu; Yuanjie Zheng (Biomed. Signal Process. Control., 2023)

Epileptic EEG Classification via Graph Transformer Network. - Jian Lian; Fangzhou Xu (Int. J. Neural Syst., 2023)

A Light Vehicle License-Plate-Recognition System Based on Hybrid Edge-Cloud Computing. - Jiancai Leng; Xinyi Chen; Jinzhao Zhao; Chongfeng Wang; Jianqun Zhu; Yihao Yan; Jiaqi Zhao; Weiyou Shi; Zhaoxin Zhu; Xiuquan Jiang; Yitai Lou; Chao Feng 003; et al. (Sensors, 2023)

Self-Supervised EEG Representation Learning with Contrastive Predictive Coding for Post-Stroke Patients. - Fangzhou Xu; Yihao Yan; Jianqun Zhu; Xinyi Chen; Licai Gao; Yanbing Liu; Weiyou Shi; Yitai Lou; Wei Wang 504; Jiancai Leng; Yang Zhang 111 (Int. J. Neural Syst., 2023)

Construction of EMU Fault Knowledge Graph Based on Large Language Model. - Ziwei Han; Hui Wang; Yaxin Li; Fangzhou Xu (DASFAA (Workshops), 2024)

Peirce's Extended Euler Diagrams and the System Atl Based on Ladd-Franklin's Exclusion Relations. - Fangzhou Xu; Ahti-Veikko Pietarinen (Diagrams, 2024)

Semantic Error Detection in Code Translation Using Knowledge-Driven Static Analysis with AI Chain. - Lei Chen; Sai Zhang; Fangzhou Xu; Liang Wan; Xiaowang Zhang (ISWC (Posters/Demos/Industry), 2024)

Decompositional Semantic Analysis for LLM-based Code Quality Evaluation. - Fangzhou Xu; Sai Zhang; Xiaowang Zhang; Yahong Han (ISWC (Posters/Demos/Industry), 2024)

A test-free semantic mistakes localization framework in Neural Code Translation. - Lei Chen; Sai Zhang; Fangzhou Xu; Zhenchang Xing; Liang Wan; Xiaowang Zhang; Zhiyong Feng 002 (CoRR, 2024)

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension. - Fangzhou Xu; Sai Zhang; Zhenchang Xing; Xiaowang Zhang; Yahong Han; Zhiyong Feng 002 (CoRR, 2024)

ECG signal fusion reconstruction via hash autoencoder and margin semantic reinforcement. - Yixian Fang; Canwei Wang; Yuwei Ren; Fangzhou Xu (J. King Saud Univ. Comput. Inf. Sci., 2024)

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network - Gradient Penalty Model. - Jiancai Leng; Jianqun Zhu; Yihao Yan; Xin Yu; Ming Liu; Yitai Lou; Yanbing Liu; Licai Gao; Yuan Sun; Tianzheng He; Qingbo Yang; Chao Feng 003; et al. (Int. J. Neural Syst., 2024)

Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. - Yuxia Wang; Shasha Yuan; Jin-Xing Liu 001; Wenrong Hu; Qingwei Jia; Fangzhou Xu (Int. J. Neural Syst., 2024)

Time-Frequency-Space EEG Decoding Model Based on Dense Graph Convolutional Network for Stroke. - Jiancai Leng; Han Li; Weiyou Shi; Licai Gao; Chengyan Lv; Chen Wang; Fangzhou Xu; Yang Zhang 111; Tzyy-Ping Jung (IEEE J. Biomed. Health Informatics, 2024)

Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients. - Jiancai Leng; Jiaqi Zhao; Yongjian Wu; Chengyan Lv; Zhixiao Lun; Yanzi Li; Chao Zhang; Bin Zhang; Yang Zhang 111; Fangzhou Xu; Changsong Yi; Tzyy-Ping Jung (Int. J. Neural Syst., 2025)

Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion. - Fangzhou Xu; Weiyou Shi; Chengyan Lv; Yuan Sun; Shuai Guo; Chao Feng 003; Yang Zhang 111; Tzyy-Ping Jung; Jiancai Leng (Int. J. Neural Syst., 2025)

An object planar grasping pose detection algorithm in low-light scenes. - Fangzhou Xu; Zhaoxin Zhu; Chao Feng 003; Jiancai Leng; Peng Zhang; Xin Yu; Chongfeng Wang; Xinyi Chen (Multim. Tools Appl., 2025)

Empowering Agile-Based Generative Software Development through Human-AI Teamwork. - Sai Zhang; Zhenchang Xing; Ronghui Guo; Fangzhou Xu; Lei Chen; Zhaoyuan Zhang; Xiaowang Zhang; Zhiyong Feng 002; Zhiqiang Zhuang (ACM Trans. Softw. Eng. Methodol., 2025)