Linkai Luo

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 31

Top Topics

Convolutional Neural Networks

Bridging The Semantic Gap

Top Venues

Appl. Soft Comput.

Publications

Linkai Luo, Qiaoling Yang, Hong Peng, Yiding Wang, Ziyang Chen
MaxMin-L2-SVC-NCH: A Novel Approach for Support Vector Classifier Training and Parameter Selection. CoRR (2023)
Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu
Automatic Sparse Connectivity Learning for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Qiaoling Yang, Linkai Luo, Haoyu Zhang, Hong Peng, Ziyang Chen
SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture. CoRR (2023)
Zhimin Tang, Rujie Zhao, Linkai Luo, Haibo Wang, Chao Lu
Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip. HPSR (2023)
Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. Neurocomputing 554 (2023)
Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo
Compressing convolutional neural networks with cheap convolutions and online distillation. Displays 78 (2023)
Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu
Automatic Sparse Connectivity Learning for Neural Networks. CoRR (2022)
Shengwei Peng, Linkai Luo, Hong Peng
A new framework for graph neural network with local information diffusion. Appl. Intell. 52 (9) (2022)
Hao Wu, Linkai Luo, Hong Peng, Wei Wen
A method of multi-models fusion for speaker recognition. Int. J. Speech Technol. 25 (2) (2022)
Linkai Luo, Yue Wang, Hai Liu
COVID-19 personal health mention detection from tweets using dual convolutional neural network. Expert Syst. Appl. 200 (2022)
Yue Wang, Linkai Luo, Hai Liu
Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content. IEEE Trans. Engineering Management 69 (4) (2022)
Linkai Luo, Yue Wang, Daniel Y. Mo
Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model. IEEE Access 10 (2022)
Weiqiang Liu, Tianshuo Ge, Linkai Luo, Hong Peng, Xide Xu, Yuangui Chen, Zefeng Zhuang
A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity. Neural Process. Lett. 54 (6) (2022)
Linkai Luo, Longmin Zhang, Hong Peng
An unsupervised keyphrase extraction model by incorporating structural and semantic information. Prog. Artif. Intell. 9 (1) (2020)
Yiming Wang, Linkai Luo, Qifeng Zhou, Junsong Lin, Zixuan Wu
A Recommendation for Flight Extra Fuel Based on Random Forest. ICCPR (2020)
Weiqiang Liu, Linkai Luo, Hong Peng, Longmin Zhang, Wei Wen, Hao Wu, Wei Shao
A three-stage method for batch-based incremental nonnegative matrix factorization. Neurocomputing 400 (2020)
Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo
Training convolutional neural networks with cheap convolutions and online distillation. CoRR (2019)
Linkai Luo, Yue Wang
EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification. CoRR (2019)
Qingyun Sun, Linkai Luo, Hong Peng, Chaojie An
A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. ICCSE (2019)
Zhimin Tang, Shaohui Li, Linkai Luo, Min Fu, Hong Peng, Qifeng Zhou
Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers. IEEE Access 7 (2019)
Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin
Neural Machine Translation for Financial Listing Documents. ICONIP (5) (2018)
Zhimin Tang, Linkai Luo
Compression artifact removal using multi-scale reshuffling convolutional network. CVPR Workshops (2018)
Linkai Luo, Haiqing Yang, Francis Y. L. Chin
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogue. CoRR (2018)
Linkai Luo, Haiqing Yang, Francis Y. L. Chin
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogues. SocialNLP@ACL (2018)
Linkai Luo, Songfei Zhang, Yudan Wang, Hong Peng
An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine. Knowl. Based Syst. 144 (2018)
Zhimin Tang, Linkai Luo, Hong Peng, Shaohui Li
A joint residual network with paired ReLUs activation for image super-resolution. Neurocomputing 273 (2018)
Linkai Luo, Shiyang You, Yanru Xu, Hong Peng
Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction. Appl. Soft Comput. 56 (2017)
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2017)
Shiyang You, Yudan Wang, Linkai Luo, Hong Peng
Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering. ICCSE (2016)
Linkai Luo, Yudan Wang, Hong Peng, Zhimin Tang, Shiyang You, Xiaoqin Huang
Training restricted Boltzmann Machine with dynamic learning rate. ICCSE (2016)
Hong Peng, Shuyi Hong, Linkai Luo, Qifeng Zhou, Xiaoqin Huang
A New Approach of Matrix Factorization and Its Application in Recommender Systems. ICMLA (2016)
Qifeng Zhou, Hao Zhou, Qingqing Zhou, Fan Yang, Linkai Luo, Tao Li
Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory. Appl. Soft Comput. 36 (2015)
Linkai Luo, Ling-Jun Ye, Qifeng Zhou, Hong Peng
A Support Vector Classification Model with Partial Empirical Risks Given. ICMLA (2015)
Linkai Luo, Yuan Yao, Furong Gao
Iterative improvement of parameter estimation for model migration by means of sequential experiments. Comput. Chem. Eng. 73 (2015)
Qifeng Zhou, Jianchao Ding, Yongpeng Ning, Linkai Luo, Tao Li
Stable feature selection with ensembles of multi-reliefF. ICNC (2014)
Linkai Luo, Xiao-Dong Zhang, Hong Peng, Weihang Lv, Yan Zhang
A new pruning method for decision tree based on structural risk of leaf node. Neural Comput. Appl. 22 (Supplement-1) (2013)
Guifang Shao, Fan Yang, Qian Zhang, Qifeng Zhou, Linkai Luo
Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (1) (2013)
Linkai Luo, Xi Chen
Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction. Appl. Soft Comput. 13 (2) (2013)
Yan Zhang, Linkai Luo
Background Subtraction Method Based on Block-Wise Mixture Models. CCPR (2012)
Fan Yang, Wei-hang Lu, Linkai Luo, Tao Li
Margin optimization based pruning for random forest. Neurocomputing 94 (2012)
Linkai Luo, Ling-Jun Ye, Meixiang Luo, Dengfeng Huang, Hong Peng, Fan Yang
Methods of forward feature selection based on the aggregation of classifiers generated by single attribute. Comput. Biol. Medicine 41 (7) (2011)
Linkai Luo, Dengfeng Huang, Ling-Jun Ye, Qifeng Zhou, Guifang Shao, Hong Peng
Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (1) (2011)
Qifeng Zhou, Wencai Hong, Linkai Luo, Fan Yang
Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data. J. Convergence Inf. Technol. 5 (6) (2010)
Linkai Luo, Dengfeng Huang, Hong Peng, Qifeng Zhou, Guifang Shao, Fan Yang
A New Parameter Selection Method for Support Vector Machine Based on the Decision Value. J. Convergence Inf. Technol. 5 (8) (2010)
Guifang Shao, Hong Mi, Qifeng Zhou, Linkai Luo
Noise Estimation and Reduction in Microarray Images. CSIE (1) (2009)
Linkai Luo, Ting Liu, Hong Peng, Qifeng Zhou
Polynomial Radial Base Function: A New Local Similarity Measure. ICNC (2) (2008)
Linkai Luo, Chengde Lin, Hong Peng, Qifeng Zhou
A Study on Piecewise Polynomial Smooth Approximation to the Plus Function. ICARCV (2006)
Linkai Luo, Chengde Lin, Hong Peng, Qifeng Zhou
A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem. ICARCV (2006)