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2020 – today
- 2024
[j63]Yulin He
, Jin Yang, Yingchao Cheng, Xueqin Du, Joshua Zhexue Huang:
A novel member enhancement-based clustering ensemble algorithm. Concurr. Comput. Pract. Exp. 36(10) (2024)- [j62]Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang:
A multiple kernel-based kernel density estimator for multimodal probability density functions. Eng. Appl. Artif. Intell. 132: 107979 (2024) - [j61]Yu-Lin He, Philippe Fournier-Viger, Sebastian Ventura, Ling Zhang:
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence. Eng. Appl. Artif. Intell. 137: 109087 (2024) - [j60]Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang:
Density estimation-based method to determine sample size for random sample partition of big data. Frontiers Comput. Sci. 18(5) (2024) - [j59]Yulin He, Xuan Lu, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel overlapping minimization SMOTE algorithm for imbalanced classification. Frontiers Inf. Technol. Electron. Eng. 25(9): 1266-1281 (2024) - [j58]Yu-Lin He, Jia-Yin Yu, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel and efficient risk minimisation-based missing value imputation algorithm. Knowl. Based Syst. 304: 112435 (2024) - [c57]Xuelin Shen, Kangsheng Yin, Xu Wang, Yulin He, Shiqi Wang, Wenhan Yang:
Image Coding for Analytics via Adversarially Augmented Adaptation. ICASSP 2024: 3605-3609 - [c56]Yulin He, Wei Chen, Zhengfa Liang, Ke Liang, Yusong Tan, Tianrui Liu, Yulan Guo:
Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. ICME 2024: 1-6 - [c55]Kang Xiao, Xu Wang, Yulin He, Baoliang Chen, Xuelin Shen:
Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement. ICME 2024: 1-6 - [c54]Tianci Xun, Wei Chen, Yulin He, Di Wu, Yuanming Gao, Jiuyuan Zhu, Weiwei Zheng:
Distinguishing Textual Prompt Importance: Image-Guided Text Weighting for CLIP-Based Few-shot Learning. ICME 2024: 1-6 - [c53]Yulin He, Siqi Wang, Wei Chen, Tianci Xun, Yusong Tan:
Sniffing Threatening Open-World Objects in Autonomous Driving by Open-Vocabulary Models. ACM Multimedia 2024: 9067-9076 - [c52]Haonan Wu, Wenning Fu, Zetai Liu, Yulin He, Milton Feng:
Cryogenic Oxide-VCSEL at 2.8 K Demonstrates Record Bandwidth f-3dB > 50 GHz, Pout > 14 mW and PAM-4 Data Rate up to 128 Gb/s. OFC 2024: 1-3 - [c51]Tianci Xun, Zhong Zheng, Yulin He, Wei Chen, Weiwei Zheng:
Unleashing the Class-Incremental Learning Potential of Foundation Models by Virtual Feature Generation and Replay. PRCV (5) 2024: 453-467 - [i8]Yulin He, Wei Chen, Tianci Xun, Yusong Tan:
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement. CoRR abs/2407.13155 (2024) - [i7]Kang Xiao, Xu Wang, Yulin He, Baoliang Chen, Xuelin Shen:
Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement. CoRR abs/2408.09920 (2024) - 2023
- [j57]Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang:
Random vector functional link network with subspace-based local connections. Appl. Intell. 53(2): 1567-1585 (2023) - [j56]M. Saqib Nawaz, Philippe Fournier-Viger, Memoona Aslam, Wenjin Li, Yulin He, Xinzheng Niu:
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis. Appl. Intell. 53(19): 21920-21943 (2023) - [j55]Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang:
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. Big Data Min. Anal. 6(2): 154-169 (2023) - [j54]Yulin He, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum:
Observation points classifier ensemble for high-dimensional imbalanced classification. CAAI Trans. Intell. Technol. 8(2): 500-517 (2023) - [j53]Yulin He, Xu Li, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang, Salman Salloum:
A novel observation points-based positive-unlabeled learning algorithm. CAAI Trans. Intell. Technol. 8(4): 1425-1443 (2023) - [j52]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang:
PSAC-PDB: Analysis and classification of protein structures. Comput. Biol. Medicine 158: 106814 (2023) - [j51]Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He:
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview. ACM Comput. Surv. 55(4): 81:1-81:40 (2023) - [j50]Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel correlation Gaussian process regression-based extreme learning machine. Knowl. Inf. Syst. 65(5): 2017-2042 (2023) - [j49]Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. IEEE Trans. Artif. Intell. 4(1): 182-196 (2023) - [j48]Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10(3): 1283-1296 (2023) - [c50]Wei Chen, Yulin He, Zhengfa Liang, Yulan Guo:
Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. ICASSP 2023: 1-5 - [c49]Jiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang:
Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. ICDM (Workshops) 2023: 1380-1389 - [c48]Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. IJCAI 2023: 726-735 - [c47]Manjing Zhang, Yulin He, Guangwu Liu, Shan Dai:
Input Uncertainty Quantification Via Simulation Bootstrapping. WSC 2023: 3693-3704 - [i6]Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo:
Pseudo-label Correction and Learning For Semi-Supervised Object Detection. CoRR abs/2303.02998 (2023) - [i5]Yulin He, Wei Chen, Yusong Tan, Siqi Wang:
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model. CoRR abs/2306.02275 (2023) - 2022
- [j47]Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199: 116782 (2022) - [j46]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 561-564 (2022) - [j45]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 565 (2022) - [j44]Yu-Lin He, Shengsheng Xu, Joshua Zhexue Huang:
Creating synthetic minority class samples based on autoencoder extreme learning machine. Pattern Recognit. 121: 108191 (2022) - [j43]Yulin He, Xuan Ye, Joshua Zhexue Huang, Philippe Fournier-Viger:
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression. ACM Trans. Intell. Syst. Technol. 13(2): 30:1-30:26 (2022) - [c46]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He:
S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures. BIBM 2022: 2259-2265 - [c45]Philippe Fournier-Viger, Yuechun Li, M. Saqib Nawaz, Yulin He:
FastTIRP: Efficient Discovery of Time-Interval Related Patterns. BDA 2022: 185-199 - [c44]Yulin He, Qihang Huang, Shengsheng Xu, Joshua Zhexue Huang:
A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine. DASFAA (Workshops) 2022: 21-33 - [c43]Hao Cao, Hanyue Li, Yulin He, Xu Yan, Fei Yang, Haizhou Wang:
GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge. ICANN (2) 2022: 494-505 - [c42]Chen Li, Wei Chen, Xin Luo, Yulin He, Yusong Tan:
Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation. ICASSP 2022: 1091-1095 - [c41]Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
DenMG: Density-Based Member Generation for Ensemble Clustering. ICPP Workshops 2022: 24:1-24:7 - [c40]Feng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren:
SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection. IJCAI 2022: 1488-1494 - [c39]Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. IJCNN 2022: 1-8 - [c38]M. Saqib Nawaz, Philippe Fournier-Viger, Naji Alhusaini, Yulin He, Youxi Wu, Debdatta Bhattacharya:
LCIM: Mining Low Cost High Utility Itemsets. MIWAI 2022: 73-85 - [c37]Philippe Fournier-Viger, M. Saqib Nawaz, Yulin He, Youxi Wu, Farid Nouioua, Unil Yun:
MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences. MIWAI 2022: 86-98 - [e1]Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He:
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7330-9 [contents] - [i4]Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. CoRR abs/2204.09186 (2022) - 2021
- [j42]Yulin He, Yingyan Wu, Honglian Qin, Joshua Zhexue Huang, Yi Jin:
Improved I-nice clustering algorithm based on density peaks mechanism. Inf. Sci. 548: 177-190 (2021) - [j41]Yu-Lin He, Xuan Ye, De-Fa Huang, Joshua Zhexue Huang, Jun-Hai Zhai:
Novel kernel density estimator based on ensemble unbiased cross-validation. Inf. Sci. 581: 327-344 (2021) - [j40]Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang:
A Joint 2D-3D Complementary Network for Stereo Matching. Sensors 21(4): 1430 (2021) - [j39]Yulin He, Wei Chen, Chen Li, Xin Luo, Libo Huang:
Fast and Accurate Lane Detection via Graph Structure and Disentangled Representation Learning. Sensors 21(14): 4657 (2021) - [c36]Chen Li, Xin Luo, Wei Chen, Yulin He, Mingfei Wu, Yusong Tan:
AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization. BIBM 2021: 952-959 - [c35]Chen Li, Wei Chen, Mingfei Wu, Xin Luo, Yulin He, Yusong Tan:
Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation. BIBM 2021: 1406-1411 - [c34]Xueqin Du, Yulin He, Joshua Zhexue Huang:
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. IEEE BigData 2021: 5885-5887 - [c33]Jiayin Yu, Yulin He, Joshua Zhexue Huang:
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. IEEE BigData 2021: 6064-6066 - [c32]Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He:
PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. CollaborateCom (2) 2021: 435-450 - [c31]Guiliang Ou, Yulin He, Joshua Zhexue Huang:
A Compressed Hidden Naive Bayesian Classifier. IJCNN 2021: 1-7 - [c30]Yulin He, Wei Chen, Zhengfa Liang, Dan Chen, Yusong Tan, Xin Luo, Chen Li, Yulan Guo:
Fast and Accurate Lane Detection via Frequency Domain Learning. ACM Multimedia 2021: 890-898 - [i3]Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He:
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview. CoRR abs/2105.14291 (2021) - [i2]Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia:
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation. CoRR abs/2106.12123 (2021) - 2020
- [j38]Yu-Lin He, Honglian Qin, Joshua Zhexue Huang, Yi Jin:
Novel electricity pattern identification system based on improved I-nice algorithm. Comput. Ind. Eng. 150: 106908 (2020) - [j37]Chen Li, Yusong Tan, Wei Chen, Xin Luo, Yulin He, Yuanming Gao, Fei Li:
ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation. Comput. Graph. 90: 11-20 (2020) - [j36]Yu-Lin He, Jie Jiang, De-Xin Dai, Klohoun Fabrice:
An Incremental Kernel Density Estimator for Data Stream Computation. Complex. 2020: 1803525:1-1803525:17 (2020) - [j35]Xiaoliang Zhang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar, Joshua Zhexue Huang:
A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism. Complex. 2020: 3650926:1-3650926:11 (2020) - [j34]Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma:
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145: 113132 (2020) - [j33]Xianyu Li, Yulin He, Qun Hua:
Application of Computed Tomographic Image Reconstruction Algorithms Based on Filtered Back-Projection in Diagnosis of Bone Trauma Diseases. J. Medical Imaging Health Informatics 10(5): 1219-1224 (2020) - [c29]Huangqiang Fang, Yulin He, Wanyang Xu, Yanyan Xu, Dengfeng Ke, Kaile Su:
A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition. ICCCS 2020: 240-245 - [c28]Yingyan Wu, Yulin He, Joshua Zhexue Huang:
Clustering Ensembles Based on Probability Density Function Estimation. CSCloud/EdgeCom 2020: 126-131 - [c27]Shengsheng Xu, Yulin He, Joshua Zhexue Huang:
Observation Points-Based Particle Swarm Optimization Algorithm. CSCloud/EdgeCom 2020: 139-144 - [c26]Xuan Ye, Yulin He, Joshua Zhexue Huang:
Attribute Bagging-Based Extreme Learning Machine. ICA3PP (2) 2020: 509-522 - [c25]Yulin He, Limeng Zhang, Wei Chen, Xin Luo, Xiaogang Jia, Chen Li:
CenterRepp: Predict Central Representative Point Set's Distribution For Detection. ICPR 2020: 8960-8967
2010 – 2019
- 2019
- [j32]Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen:
An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access 7: 3675-3693 (2019) - [j31]Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang:
Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. 10(6): 208 (2019) - [j30]Jie Jiang, Yu-Lin He, De-Xin Dai, Joshua Zhexue Huang:
A new kernel density estimator based on the minimum entropy of data set. Inf. Sci. 491: 223-231 (2019) - [j29]Salman Salloum, Joshua Zhexue Huang, Yulin He:
Exploring and cleaning big data with random sample data blocks. J. Big Data 6: 45 (2019) - [j28]Liang Zhang, Yibin Yao, Wenjie Peng, Lulu Shan, Yulin He, Jian Kong:
Real-Time Global Ionospheric Map and Its Application in Single-Frequency Positioning. Sensors 19(5): 1138 (2019) - [j27]Salman Salloum, Joshua Zhexue Huang, Yulin He:
Random Sample Partition: A Distributed Data Model for Big Data Analysis. IEEE Trans. Ind. Informatics 15(11): 5846-5854 (2019) - [c24]Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun:
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. IJCAI 2019: 6554-6556 - [c23]Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang:
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. PAKDD (Workshops) 2019: 153-163 - 2018
- [j26]Yu-Lin He, Xiaoliang Zhang, Wei Ao, Joshua Zhexue Huang:
Determining the optimal temperature parameter for Softmax function in reinforcement learning. Appl. Soft Comput. 70: 80-85 (2018) - [j25]Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang:
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data. Appl. Soft Comput. 70: 959-979 (2018) - [j24]Hua Guo, Jikui Wang, Wei Ao, Yulin He:
SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine. Comput. Intell. Neurosci. 2018: 4058403:1-4058403:14 (2018) - [j23]Zhenhong Li, Bo Li, Yanfei Lan, Yulin He:
Uncertain principal-agent models for providing information service with moral hazards. J. Intell. Fuzzy Syst. 35(3): 3321-3332 (2018) - [j22]Li-fen Yang, Chong Liu, Hao Long, Rana Aamir Raza Ashfaq, Yu-Lin He:
Further improvements on extreme learning machine for interval neural network. Neural Comput. Appl. 29(8): 311-318 (2018) - [c22]Chenghao Wei, Salman Salloum, Tamer Z. Emara, Xiaoliang Zhang, Joshua Zhexue Huang, Yu-Lin He:
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis. CLOUD 2018: 347-364 - [c21]Jie Jiang, Yu-Lin He, Joshua Zhexue Huang:
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. PAKDD (Workshops) 2018: 267-279 - 2017
- [j21]Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He:
Fuzziness based semi-supervised learning approach for intrusion detection system. Inf. Sci. 378: 484-497 (2017) - [j20]Rana Aamir Raza Ashfaq, Yu-Lin He, De-gang Chen:
Toward an efficient fuzziness based instance selection methodology for intrusion detection system. Int. J. Mach. Learn. Cybern. 8(6): 1767-1776 (2017) - [j19]Wan-Guo Yu, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq:
Comments on "Local coupled extreme learning machine". Neural Comput. Appl. 28(3): 631-634 (2017) - [j18]Hai-Tao Liu, Jing Wang, Yu-Lin He, Rana Aamir Raza Ashfaq:
Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression. Neural Comput. Appl. 28(11): 3465-3476 (2017) - [c20]Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei:
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. BigData Congress 2017: 360-367 - [c19]Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He:
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. ICONIP (1) 2017: 3-12 - [c18]Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang:
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. PAKDD (Workshops) 2017: 116-128 - [i1]Salman Salloum, Yu-Lin He, Joshua Zhexue Huang, Xiaoliang Zhang, Tamer Z. Emara:
A Random Sample Partition Data Model for Big Data Analysis. CoRR abs/1712.04146 (2017) - 2016
- [j17]Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang:
Fuzzy nonlinear regression analysis using a random weight network. Inf. Sci. 364-365: 222-240 (2016) - [j16]Yi-Chao He, Xi-Zhao Wang, Yu-Lin He, Shuliang Zhao, Wen-Bin Li:
Exact and approximate algorithms for discounted {0-1} knapsack problem. Inf. Sci. 369: 634-647 (2016) - [j15]Xiao Tao, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq:
Impact of Variances of Random Weights and Biases on Extreme Learning Machine. J. Softw. 11(5): 440-454 (2016) - [j14]Chong Liu, Bing-Qiang Wang, Xiao-Lan Wang, Yu-Lin He, Rana Aamir Raza Ashfaq:
An Improved Local Coupled Extreme Learning Machine. J. Softw. 11(8): 745-755 (2016) - [c17]Salman Salloum, Joshua Zhexue Huang, Yu-Lin He:
Empirical analysis of asymptotic ensemble learning for big data. BDCAT 2016: 8-17 - [c16]Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang:
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops 2016: 48-60 - [c15]Sheng Xing, Yu-Lin He, Hong Zhu, Xizhao Wang:
An approach to sample selection from big data for classification. SMC 2016: 2928-2935 - 2015
- [j13]Yu-Lin He, James Nga-Kwok Liu, Yan-Xing Hu, Xi-Zhao Wang:
OWA operator based link prediction ensemble for social network. Expert Syst. Appl. 42(1): 21-50 (2015) - [j12]Ran Wang, Yu-Lin He, Chi-Yin Chow, Fang-Fang Ou, Jian Zhang:
Learning ELM-Tree from big data based on uncertainty reduction. Fuzzy Sets Syst. 258: 79-100 (2015) - [c14]Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza:
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. PAKDD (1) 2015: 405-417 - 2014
- [j11]Hong-Yan Ji, Xi-Zhao Wang, Yu-Lin He, Wen-Liang Li:
A study on relationships between heuristics and optimal cuts in decision tree induction. Comput. Electr. Eng. 40(5): 1429-1438 (2014) - [j10]Ai-Min Fu, Xi-Zhao Wang, Yu-Lin He, Lai-Sheng Wang:
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146: 75-82 (2014) - [j9]Yu-Lin He, Ran Wang, Sam Kwong, Xi-Zhao Wang:
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Inf. Sci. 259: 252-268 (2014) - [j8]James N. K. Liu, Yan-Xing Hu, Yu-Lin He:
A set covering based approach to find the reduct of variable precision rough set. Inf. Sci. 275: 83-100 (2014) - [j7]James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang:
Domain ontology graph model and its application in Chinese text classification. Neural Comput. Appl. 24(3-4): 779-798 (2014) - [j6]