A Study on Piecewise Polynomial Smooth Approximation to the Plus Function. - Linkai Luo; Chengde Lin; Hong Peng; Qifeng Zhou (ICARCV, 2006)

A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem. - Linkai Luo; Chengde Lin; Hong Peng; Qifeng Zhou (ICARCV, 2006)

Polynomial Radial Base Function: A New Local Similarity Measure. - Linkai Luo; Ting Liu; Hong Peng; Qifeng Zhou (ICNC (2), 2008)

Noise Estimation and Reduction in Microarray Images. - Guifang Shao; Hong Mi; Qifeng Zhou; Linkai Luo (CSIE (1), 2009)

A New Parameter Selection Method for Support Vector Machine Based on the Decision Value. - Linkai Luo; Dengfeng Huang; Hong Peng; Qifeng Zhou; Guifang Shao; Fan Yang 010 (J. Convergence Inf. Technol., 2010)

Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data. - Qifeng Zhou; Wencai Hong; Linkai Luo; Fan Yang 010 (J. Convergence Inf. Technol., 2010)

Methods of forward feature selection based on the aggregation of classifiers generated by single attribute. - Linkai Luo; Ling-Jun Ye; Meixiang Luo; Dengfeng Huang; Hong Peng; Fan Yang 010 (Comput. Biol. Medicine, 2011)

Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection. - Linkai Luo; Dengfeng Huang; Ling-Jun Ye; Qifeng Zhou; Guifang Shao; Hong Peng (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Background Subtraction Method Based on Block-Wise Mixture Models. - Yan Zhang; Linkai Luo (CCPR, 2012)

Margin optimization based pruning for random forest. - Fan Yang 010; Wei-hang Lu; Linkai Luo; Tao Li 001 (Neurocomputing, 2012)

Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction. - Linkai Luo; Xi Chen 067 (Appl. Soft Comput., 2013)

A new pruning method for decision tree based on structural risk of leaf node. - Linkai Luo; Xiao-Dong Zhang; Hong Peng; Weihang Lv; Yan Zhang (Neural Comput. Appl., 2013)

Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images. - Guifang Shao; Fan Yang 010; Qian Zhang 005; Qifeng Zhou; Linkai Luo (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Stable feature selection with ensembles of multi-reliefF. - Qifeng Zhou; Jianchao Ding; Yongpeng Ning; Linkai Luo; Tao Li 001 (ICNC, 2014)

A Support Vector Classification Model with Partial Empirical Risks Given. - Linkai Luo; Ling-Jun Ye; Qifeng Zhou; Hong Peng (ICMLA, 2015)

Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory. - Qifeng Zhou; Hao Zhou; Qingqing Zhou; Fan Yang 010; Linkai Luo; Tao Li 001 (Appl. Soft Comput., 2015)

Iterative improvement of parameter estimation for model migration by means of sequential experiments. - Linkai Luo; Yuan Yao 002; Furong Gao (Comput. Chem. Eng., 2015)

Training restricted Boltzmann Machine with dynamic learning rate. - Linkai Luo; Yudan Wang; Hong Peng; Zhimin Tang; Shiyang You; Xiaoqin Huang (ICCSE, 2016)

Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering. - Shiyang You; Yudan Wang; Linkai Luo; Hong Peng (ICCSE, 2016)

A New Approach of Matrix Factorization and Its Application in Recommender Systems. - Hong Peng; Shuyi Hong; Linkai Luo; Qifeng Zhou; Xiaoqin Huang (ICMLA, 2016)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction. - Linkai Luo; Shiyang You; Yanru Xu; Hong Peng (Appl. Soft Comput., 2017)

EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogues. - Linkai Luo; Haiqing Yang; Francis Y. L. Chin (SocialNLP@ACL, 2018)

Compression artifact removal using multi-scale reshuffling convolutional network. - Zhimin Tang; Linkai Luo (CVPR Workshops, 2018)

Neural Machine Translation for Financial Listing Documents. - Linkai Luo; Haiqin Yang; Sai Cheong Siu; Francis Yuk-Lun Chin (ICONIP (5), 2018)

EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogue. - Linkai Luo; Haiqing Yang; Francis Y. L. Chin (CoRR, 2018)

A joint residual network with paired ReLUs activation for image super-resolution. - Zhimin Tang; Linkai Luo; Hong Peng; Shaohui Li (Neurocomputing, 2018)

An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine. - Linkai Luo; Songfei Zhang; Yudan Wang; Hong Peng (Knowl. Based Syst., 2018)

A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. - Qingyun Sun; Linkai Luo; Hong Peng; Chaojie An (ICCSE, 2019)

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers. - Zhimin Tang; Shaohui Li; Linkai Luo; Min Fu; Hong Peng; Qifeng Zhou (IEEE Access, 2019)

EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification. - Linkai Luo; Yue Wang (CoRR, 2019)

Training convolutional neural networks with cheap convolutions and online distillation. - Jiao Xie; Shaohui Lin; Yichen Zhang; Linkai Luo (CoRR, 2019)

A Recommendation for Flight Extra Fuel Based on Random Forest. - Yiming Wang; Linkai Luo; Qifeng Zhou; Junsong Lin; Zixuan Wu (ICCPR, 2020)

A three-stage method for batch-based incremental nonnegative matrix factorization. - Weiqiang Liu 002; Linkai Luo; Hong Peng; Longmin Zhang; Wei Wen; Hao Wu; Wei Shao (Neurocomputing, 2020)

An unsupervised keyphrase extraction model by incorporating structural and semantic information. - Linkai Luo; Longmin Zhang; Hong Peng (Prog. Artif. Intell., 2020)

Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model. - Linkai Luo; Yue Wang 042; Daniel Y. Mo (IEEE Access, 2022)

A new framework for graph neural network with local information diffusion. - Shengwei Peng; Linkai Luo; Hong Peng (Appl. Intell., 2022)

COVID-19 personal health mention detection from tweets using dual convolutional neural network. - Linkai Luo; Yue Wang 042; Hai Liu 001 (Expert Syst. Appl., 2022)

A method of multi-models fusion for speaker recognition. - Hao Wu; Linkai Luo; Hong Peng; Wei Wen (Int. J. Speech Technol., 2022)

A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity. - Weiqiang Liu 002; Tianshuo Ge; Linkai Luo; Hong Peng; Xide Xu; Yuangui Chen; Zefeng Zhuang (Neural Process. Lett., 2022)

Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content. - Yue Wang 042; Linkai Luo; Hai Liu 001 (IEEE Trans. Engineering Management, 2022)

Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip. - Zhimin Tang; Rujie Zhao; Linkai Luo; Haibo Wang 005; Chao Lu 005 (HPSR, 2023)

SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture. - Qiaoling Yang; Linkai Luo; Haoyu Zhang; Hong Peng; Ziyang Chen (CoRR, 2023)

Compressing convolutional neural networks with cheap convolutions and online distillation. - Jiao Xie; Shaohui Lin; Yichen Zhang; Linkai Luo (Displays, 2023)

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. - Jiao Xie; Linrui Gong; Shitong Shao; Shaohui Lin; Linkai Luo (Neurocomputing, 2023)

Automatic Sparse Connectivity Learning for Neural Networks. - Zhimin Tang; Linkai Luo; Bike Xie; Yiyu Zhu; Rujie Zhao; Lvqing Bi; Chao Lu 005 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Variable Segment Length and Domain-Adapted Feature Optimization for Speaker Diarization. - Chenyuan Zhang; Linkai Luo; Hong Peng; Wei Wen (INTERSPEECH, 2024)

BRAVE: A cascaded generative model with sample attention for robust few shot image classification. - Huayi Ji; Linkai Luo; Hong Peng (Neurocomputing, 2024)

Constructing stock portfolio with transformer. - Jinyuan Li; Linkai Luo (Int. J. Comput. Sci. Eng., 2025)

MaxMin-L2-SVC-NCH: A novel approach for support vector classifier training and parameter selection. - Linkai Luo; Qiaoling Yang; Hong Peng; Yiding Wang; Ziyang Chen (Neurocomputing, 2025)