default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJingjing Tang 0004
Person information
- affiliation: Southwestern University of Finance and Economics, Chengdu, Sichuan, China
Other persons with the same name
- Jingjing Tang — disambiguation page
- Jingjing Tang 0001
![[0000-0003-1447-5018]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-1447-5018")
— Carnegie Mellon University, Pittsburgh, PA, USA - Jingjing Tang 0002 — Queen Mary University of London, London, UK
- Jingjing Tang 0003 — Hohai University, Jiangsu, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
2020 – today
- 2026
[j27]Jingjing Tang, Yan Li, Saiji Fu, Ying Jie Tian, Yu Bao:
M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning. Neural Networks 201: 108878 (2026)- [j26]Jingjing Tang, Qiao Gou, Saiji Fu, Kun Zhao, Tianyi Dong, Ying Jie Tian:
Efficient and robust kernel learning with class-wise privileged information for pattern classification. Pattern Recognit. 179: 113522 (2026) - 2025
- [j25]Qingqing Yi, Lunwen Wu, Jingjing Tang, Yujian Zeng, Zengchun Song:
Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation. Neural Networks 183: 106953 (2025) - [j24]Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu:
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations. IEEE Trans. Knowl. Data Eng. 37(4): 1585-1598 (2025) - 2024
- [j23]Jingjing Tang, Qingqing Yi, Saiji Fu, Ying-Jie Tian:
Incomplete multi-view learning: Review, analysis, and prospects. Appl. Soft Comput. 153: 111278 (2024) - [j22]Dalian Liu, Saiji Fu, Ying-Jie Tian, Jingjing Tang:
Universum driven cost-sensitive learning method with asymmetric loss function. Eng. Appl. Artif. Intell. 131: 107849 (2024) - [j21]Jingjing Tang, Bangxin Liu, Saiji Fu, Ying-jie Tian, Gang Kou:
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Inf. Fusion 110: 102463 (2024) - [j20]Zhaojie Hou, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian:
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. 675: 120467 (2024) - [j19]Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu, Yingjie Tian:
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. 300: 112143 (2024) - [j18]Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian:
Generalized robust loss functions for machine learning. Neural Networks 171: 200-214 (2024) - 2023
- [j17]Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu:
Robust multi-view learning with the bounded LINEX loss. Neurocomputing 518: 384-400 (2023) - [j16]Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu:
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525: 57-75 (2023) - [j15]Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian:
Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing 552: 126562 (2023) - [j14]Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li:
Coarse-grained privileged learning for classification. Inf. Process. Manag. 60(6): 103506 (2023) - 2022
- [j13]Jingjing Tang, Dewei Li, Yingjie Tian:
Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. 189: 116117 (2022) - [j12]Yingjie Tian, Shiding Sun, Jingjing Tang:
Multi-view Teacher-Student Network. Neural Networks 146: 69-84 (2022) - 2021
- [j11]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: 245-269 (2021) - [j10]Yingjie Tian, Saiji Fu, Jingjing Tang:
Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. 581: 951-977 (2021) - [j9]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: 107285 (2021) - [j8]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: 327-344 (2021)
2010 – 2019
- 2019
- [j7]Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou:
Coupling privileged kernel method for multi-view learning. Inf. Sci. 481: 110-127 (2019) - [j6]Jingjing Tang, Yingjie Tian, Xiaohui Liu:
LGND: a new method for multi-class novelty detection. Neural Comput. Appl. 31(8): 3339-3355 (2019) - 2018
- [j5]Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma:
Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. 2018: 8425821:1-8425821:13 (2018) - [j4]Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu:
Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. 158: 94-108 (2018) - [j3]Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou:
Improved multi-view privileged support vector machine. Neural Networks 106: 96-109 (2018) - [j2]Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu:
Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3463-3477 (2018) - [c7]Jingjing Tang, Yingjie Tian, Dalian Liu:
Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN 2018: 1-8 - 2017
- [j1]Jingjing Tang, Yingjie Tian:
A multi-kernel framework with nonparallel support vector machine. Neurocomputing 266: 226-238 (2017) - [c6]Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju:
Multi-view deep metric learning for image classification. ICIP 2017: 4142-4146 - [c5]Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian:
Metric learning for multi-instance classification with collapsed bags. IJCNN 2017: 372-379 - [c4]Jingjing Tang, Yingjie Tian, Guoqiang Wu, Dewei Li:
Stochastic gradient descent for large-scale linear nonparallel SVM. WI 2017: 980-983 - 2016
- [c3]Jingjing Tang, Dewei Li:
Incorporate Hashing with Multi-view Learning. ICDM Workshops 2016: 853-859 - 2015
- [c2]Jingjing Tang, Yingjie Tian, Dalian Liu:
Connected bit minwise hashing for large-scale linear SVM. FSKD 2015: 995-1002 - [c1]Jingjing Tang, Yingjie Tian:
f-Fractional Bit Minwise Hashing for Large-Scale Learning. WI-IAT (3) 2015: 60-63
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-07-11 00:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
