Yingjie Tian

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 131

Top Venues

Publications

Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Syst. Appl. 255 (2024)
Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu
Improving long-tailed classification by disentangled variance transfer. Internet Things 21 (2023)
Yingjie Tian, Xiaoxi Zhao, Saiji Fu
Kernel methods with asymmetric and robust loss function. Expert Syst. Appl. 213 (Part) (2023)
Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Yingjie Tian, Yun Su, Mingli Song
Message-passing selection: Towards interpretable GNNs for graph classification. CoRR (2023)
Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. 53 (1) (2023)
Yingjie Tian, Xiaotong Yu, Saiji Fu
Partial label learning: Taxonomy, analysis and outlook. Neural Networks 161 (2023)
Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. 53 (2) (2023)
Yue Wu, Wayne Wei Huang, Lean Yu, Yingjie Tian
Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. IEEE Access 11 (2023)
Siyu Zhu, Yingjie Tian
Shape robustness in style enhanced cross domain semantic segmentation. Pattern Recognit. 135 (2023)
Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525 (2023)
Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu
Robust multi-view learning with the bounded LINEX loss. Neurocomputing 518 (2023)
Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu
Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. 80 (Part) (2023)
Yingjie Tian, Yurong Ding, Saiji Fu, Dalian Liu
Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access 10 (2022)
Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129 (2022)
Xiang Gao, Yuqi Zhang, Yingjie Tian
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. ICML (2022)
Yingjie Tian, Yuqi Zhang
A comprehensive survey on regularization strategies in machine learning. Inf. Fusion 80 (2022)
Saiji Fu, Xiaotong Yu, Yingjie Tian
Cost sensitive ν-support vector machine with LINEX loss. Inf. Process. Manag. 59 (2) (2022)
Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang
Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing 483 (2022)
Yingjie Tian, Shiding Sun, Jingjing Tang
Multi-view Teacher-Student Network. Neural Networks 146 (2022)
Xiang Gao, Yingjie Tian
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. CoRR (2022)
Yingjie Tian, Xiaoxi Zhao, Wei Huang
Meta-learning approaches for learning-to-learn in deep learning: A survey. Neurocomputing 494 (2022)
Xiang Gao, Yuqi Zhang, Yingjie Tian
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. CoRR (2022)
Yingjie Tian, Siyu Zhu
Partial Domain Adaptation on Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32 (6) (2022)
Yiqiong Wu, Wei Huang, Yingjie Tian, Qing Zhu, Lean Yu
An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. Electron. Commer. Res. Appl. 53 (2022)
Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu
Recent advances on loss functions in deep learning for computer vision. Neurocomputing 497 (2022)
Xiaoxi Zhao, Saiji Fu, Yingjie Tian, Kun Zhao
Asymmetric and robust loss function driven least squares support vector machine. Knowl. Based Syst. 258 (2022)
Jingjing Tang, Dewei Li, Yingjie Tian
Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. 189 (2022)
Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang, Lingyun Luo
Automatic diagnosis of COVID-19 infection based on ontology reasoning. BMC Medical Informatics Decis. Mak. (9) (2021)
Yingjie Tian, LinRui Yang, Yunchuan Sun, Dalian Liu
Cross-Domain End-To-End Aspect-Based Sentiment Analysis with Domain-Dependent Embeddings. Complex. 2021 (2021)
Yuqi Zhang, Duo Su, Xiaoxi Zhao, Yingjie Tian
Sparse Multiple Instance Learning for Elderly People Balance Ability. ITQM (2021)
Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, Xuchan Ju, Jie Zhang
Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks 143 (2021)
Jingjing Tang, Weiqi Xu, Jiahui Li, Yingjie Tian, Shan Xu
Multi-view learning methods with the LINEX loss for pattern classification. Knowl. Based Syst. 228 (2021)
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
Two-stage Training for Learning from Label Proportions. IJCAI (2021)
Kai Li, Yingjie Tian, Zhiquan Qi
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR (2021)
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
Two-stage Training for Learning from Label Proportions. CoRR (2021)
Yingjie Tian, Saiji Fu, Jingjing Tang
Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. 581 (2021)
Fenfen Zhou, Yingjie Tian, Zhiquan Qi
Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. 31 (6) (2021)
Xiang Gao, Yingjie Tian, Zhiquan Qi
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI (2021)
Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos
Valley-loss regular simplex support vector machine for robust multiclass classification. Knowl. Based Syst. 216 (2021)
Jingjing Tang, Yiwei He, Yingjie Tian, Dalian Liu, Gang Kou, Fawaz E. Alsaadi
Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. 551 (2021)
Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR (2021)
Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu
Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. Neural Networks 122 (2020)
Zheng Zhu, Yingjie Tian, Fan Li, Hongshan Yang, Zheng Ma, Guoping Rong
Research on Edge Intelligence-based Security Analysis Method for Power Operation System. CSCloud/EdgeCom (2020)
Zhiwang Zhang, Guangxia Gao, Tao Yao, Jing He, Yingjie Tian
An interpretable regression approach based on bi-sparse optimization. Appl. Intell. 50 (11) (2020)
Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
Concatenated Attention Neural Network for Image Restoration. CoRR (2020)
Yingjie Tian, Mahboubeh Mirzabagheri, Peyman Tirandazi, Seyed Mojtaba Hosseini Bamakan
A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM. Inf. Process. Manag. 57 (6) (2020)
Xiang Gao, Yingjie Tian, Zhiquan Qi
RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. 29 (2020)
Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
Deep learning from label proportions with labeled samples. Neural Networks 128 (2020)
Yue Ma, Kun Zhao, Qi Wang, Yingjie Tian
Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss. IEEE Access 8 (2020)
Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. 27 (2020)
Yuqi Zhang, Haibin Zhang, Yingjie Tian
Sparse multiple instance learning with non-convex penalty. Neurocomputing 391 (2020)
Yingjie Tian, Saiji Fu
A descriptive framework for the field of deep learning applications in medical images. Knowl. Based Syst. 210 (2020)
Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos
Structural improved regular simplex support vector machine for multiclass classification. Appl. Soft Comput. 91 (2020)
Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil N. Alexandrov
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8 (2) (2020)
Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian
LINEX Support Vector Machine for Large-Scale Classification. IEEE Access 7 (2019)
Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian
Multi-task feature selection with sparse regularization to extract common and task-specific features. Neurocomputing 340 (2019)
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7 (2019)
Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu
Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. CoRR (2019)
Zhichen Lu, Wen Long, Jiashuai Zhang, Yingjie Tian
Factor Integration Based on Neural Networks for Factor Investing. ICCS (3) (2019)
Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS (2019)
Lin Zhu, Xu Sun, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou, Yingjie Tian
Incremental Discovery of Order Dependencies on Tuple Insertions. DASFAA (1) (2019)
Qi Wang, Yingjie Tian, Dalian Liu
Adaptive FH-SVM for Imbalanced Classification. IEEE Access 7 (2019)
Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian
Sparse multi-criteria optimization classifier for credit risk evaluation. Soft Comput. 23 (9) (2019)
Chunhua Zhang, Shiding Sun, Yingjie Tian, Zeyuan Wang
Structured Output Prediction Using Privileged Information. IEEE Access 7 (2019)
Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
Learning from Label Proportions with Generative Adversarial Networks. CoRR (2019)
Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian
Bi-sparse optimization-based least squares regression. Appl. Soft Comput. 77 (2019)
Dandan Chen, Yingjie Tian
Large-scale structural learning and predicting via hashing approximation. Neural Comput. Appl. 31 (7) (2019)
Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. ICTAI (2019)
Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou
Coupling privileged kernel method for multi-view learning. Inf. Sci. 481 (2019)
Jingjing Tang, Yingjie Tian, Xiaohui Liu
LGND: a new method for multi-class novelty detection. Neural Comput. Appl. 31 (8) (2019)
Yuting Niu, Yuan Shang, Yingjie Tian
Multi-view SVM Classification with Feature Selection. ITQM (2019)
Long Tang, Yingjie Tian, Panos M. Pardalos
A novel perspective on multiclass classification: Regular simplex support vector machine. Inf. Sci. 480 (2019)
Yiwei He, Yingjie Tian, Dalian Liu
Multi-view transfer learning with privileged learning framework. Neurocomputing 335 (2019)
Guoqiang Wu, Yingjie Tian, Chunhua Zhang
A unified framework implementing linear binary relevance for multi-label learning. Neurocomputing 289 (2018)
Jingjing Tang, Yingjie Tian, Dalian Liu
Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN (2018)
Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou
Improved multi-view privileged support vector machine. Neural Networks 106 (2018)
Dewei Li, Yingjie Tian
Improved least squares support vector machine based on metric learning. Neural Comput. Appl. 30 (7) (2018)
Guoqiang Wu, Yingjie Tian, Dalian Liu
Privileged Multi-Target Support Vector Regression. ICPR (2018)
Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu
Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Shiding Sun, Chunhua Zhang, Yingjie Tian
A New Method for Structured Learning with Privileged Information. ICCS (2) (2018)
Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
Pedestrian detection based on the privileged information. Neural Comput. Appl. 29 (12) (2018)
Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian
Large-scale linear nonparallel SVMs. Soft Comput. 22 (6) (2018)
Long Tang, Yingjie Tian, Chunyan Yang, Panos M. Pardalos
Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation. Knowl. Based Syst. 147 (2018)
Xuchan Ju, Yingjie Tian
A divide-and-conquer method for large scale ν-nonparallel support vector machines. Neural Comput. Appl. 29 (9) (2018)
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Long Tang, Yingjie Tian, Chunyan Yang
Nonparallel support vector regression model and its SMO-type solver. Neural Networks 105 (2018)
Dewei Li, Yingjie Tian
Survey and experimental study on metric learning methods. Neural Networks 105 (2018)
Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Qiang Qu
Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. Neurocomputing 310 (2018)
Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu
Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. 158 (2018)
Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma
Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. 2018 (2018)
Guoqiang Wu, Yingjie Tian, Dalian Liu
Cost-sensitive multi-label learning with positive and negative label pairwise correlations. Neural Networks 108 (2018)
Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian
Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. DASFAA (2) (2018)
Yue Ma, Yiwei He, Yingjie Tian
Online Robust Lagrangian Support Vector Machine against Adversarial Attack. ITQM (2018)
Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
Regularized Sparse Regression. IEEE Trans. Cybern. 47 (6) (2017)
Yuan Ping, Yingjie Tian, Chun Guo, Baocang Wang, Yuehua Yang
FRSVC: Towards making support vector clustering consume less. Pattern Recognit. 69 (2017)
Jingjing Tang, Yingjie Tian
A multi-kernel framework with nonparallel support vector machine. Neurocomputing 266 (2017)
Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian
Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. 47 (10) (2017)
Teng Zhao, Ziqiang Zhou, Yan Zhang, Ping Ling, Yingjie Tian
Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach. IEEE Access 5 (2017)
Dewei Li, Yingjie Tian
Global and local metric learning via eigenvectors. Knowl. Based Syst. 116 (2017)
Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju
Multi-view deep metric learning for image classification. ICIP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yingjie Tian