Multi-GPU Based Recurrent Neural Network Language Model Training. - Xiaoci Zhang; Naijie Gu; Hong Ye (ICYCSEE (1), 2016)

GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models. - Xiaoci Zhang; Naijie Gu; Robail Yasrab; Hong Ye (NaNA, 2017)

An efficient conflict-free memory-addressing unit for SIMD VLIW DSP. - Hong Ye; Naijie Gu; Xiaoci Zhang; Chuanwen Lin (SPECTS, 2017)

Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss. - Jie Chang 001; Xiaoci Zhang; Minquan Ye; Daobin Huang; Peipei Wang; Chuanwen Yao (CISP-BMEI, 2018)

A Robust and Real-Time Approach for License Plate Detection. - Dan Pu; Naijie Gu; Xiaoci Zhang (ICNC-FSKD, 2018)

Design and implementation of a conflict-free memory accessing technique for FFT on multicluster VLIW DSP. - Hong Ye; Naijie Gu; Xiaoci Zhang; Chuanwen Lin (IEICE Electron. Express, 2018)

Vehicle license plate detection and recognition using deep neural networks and generative adversarial networks. - Xiaoci Zhang; Naijie Gu; Hong Ye; Chuanwen Lin (J. Electronic Imaging, 2018)

An uniformizing method of MR image intensity transformation. - Jie Chang 001; Naijie Gu; Xiaoci Zhang; Li Yang; Chuanwen Lin; Zengshi Huang; Junjie Su (J. Vis. Commun. Image Represent., 2018)

Nonlinear Model Identification Adaptive Heater Control Design for Loop Heat Pipes. - Thomas Gellrich; Xiaoci Zhang; Stefan Schwab; Sören Hohmann (CCTA, 2019)

Automatical Pulmonary Nodule Detection by Feature Contrast Learning. - Jie Chang 001; Minquan Ye; Naijie Gu; Xiaoci Zhang; Chuanwen Lin; Hong Ye (ICIC (1), 2019)

Tire X-ray Image Defects Detection Based on Adaptive Thresholding Method. - Yuxiang Zhang; Naijie Gu; Xiaoci Zhang; Chuanwen Lin (PAAP, 2019)

A mix-pooling CNN architecture with FCRF for brain tumor segmentation. - Jie Chang 001; Luming Zhang; Naijie Gu; Xiaoci Zhang; Minquan Ye; Rongzhang Yin; Qianqian Meng (J. Vis. Commun. Image Represent., 2019)

Mining discriminative spatial cues for aerial image quality assessment towards big data. - Xiaoci Zhang; Naijie Gu; Jie Chang 001; Hong Ye; Chuanwen Lin; Jie Shen (Signal Process. Image Commun., 2020)

Predicting stock price movement using a DBN-RNN. - Xiaoci Zhang; Naijie Gu; Jie Chang 001; Hong Ye (Appl. Artif. Intell., 2021)

Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation. - Jie Du 001; Xiaoci Zhang; Peng Liu 070; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

Exploring the Impact of ChatGPT on Student Interactions in Computer-Supported Collaborative Learning. - Han Kyul Kim; Shriniwas Nayak; Aleyeh Roknaldin; Xiaoci Zhang; Marlon Twyman; Stephen Lu (CoRR, 2024)

An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation. - Jie Du 001; Xiaoci Zhang; Peng Liu 070; Chi-Man Vong; Tianfu Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)