Efficient meta-modelling of complex process simulations with time-space-dependent outputs. - Tao Chen 009; Kunn Hadinoto; Wenjin Yan; Yifei Ma (Comput. Chem. Eng., 2011)

Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network. - Gaosheng Wu; Yuhua Li 003; Wenjin Yan; Ruixuan Li 001; Xiwu Gu; Qi Yang 009 (ICONIP (2), 2018)

Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. - Wenjin Yan; Ruixuan Li 001; Jun Wang 018; Yuhua Li 003; Jinyang Wang; Pan Zhou 001; Xiwu Gu (CIKM, 2019)

Attentive convolutional gated recurrent network: a contextual model to sentiment analysis. - Olivier Habimana; Yuhua Li 003; Ruixuan Li 001; Xiwu Gu; Wenjin Yan (Int. J. Mach. Learn. Cybern., 2020)

GM-Pep: A High Efficiency Strategy to De Novo Design Functional Peptide Sequences. - Qushuo Chen; Changyan Yang; Yihao Xie; Yuqiang Wang; Xiaoxu Li; Kairong Wang; Jinqi Huang; Wenjin Yan (J. Chem. Inf. Model., 2022)

pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning. - Zebin Ma; Yonglin Zou; Xiaobin Huang; Wenjin Yan; Hao Xu; Jiexin Yang; Ying Zhang; Jinqi Huang (CoRR, 2023)

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning. - Chunchi Ma; Xuefeng Ran; Weihao Xu; Wenjin Yan; Tianbin Li; Kunkun Dai; Jiangjun Wan; Yu Lin; Ke Tong (Remote. Sens., 2023)

Parallel Processing Method for Microseismic Signal Based on Deep Neural Network. - Chunchi Ma; Wenjin Yan; Weihao Xu; Tianbin Li; Xuefeng Ran; Jiangjun Wan; Ke Tong; Yu Lin (Remote. Sens., 2023)