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Jingjing Tang
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2020 – today
- 2024
- [j29]Jingjing Tang
, Qingqing Yi
Incomplete multi-view learning: Review, analysis, and prospects. Appl. Soft Comput. 153: 111278 (2024) - [j28]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) - [j27]Jingjing Tang, Bangxin Liu, Saiji Fu
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Inf. Fusion 110: 102463 (2024) - [j26]Zhaojie Hou
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. 675: 120467 (2024) - [j25]Qingqing Yi
DMMP: A distillation-based multi-task multi-tower learning model for personalized recommendation. Knowl. Based Syst. 284: 111236 (2024) - [j24]Jingjing Tang, Yan Li
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. 300: 112143 (2024) - [j23]Sheng Zhang, Jie Shen, Shengnan Zheng, Jingjing Tang:
Effective image registration model using optimized KAZE algorithm. Multim. Tools Appl. 83(11): 33959-33984 (2024) - [j22]Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian
Generalized robust loss functions for machine learning. Neural Networks 171: 200-214 (2024) - [j21]Xiao Yan
ProSTformer: Progressive Space-Time Self-Attention Model for Short-Term Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 25(9): 10802-10816 (2024) - 2023
- [j20]Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian
Robust multi-view learning with the bounded LINEX loss. Neurocomputing 518: 384-400 (2023) - [j19]Saiji Fu, Yingjie Tian
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525: 57-75 (2023) - [j18]Jingjing Tang
Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing 552: 126562 (2023) - [j17]Saiji Fu, Xiaoxiao Wang, Yingjie Tian
Coarse-grained privileged learning for classification. Inf. Process. Manag. 60(6): 103506 (2023) - [j16]Li Wang
Image Super-Resolution via Lightweight Attention-Directed Feature Aggregation Network. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 60:1-60:23 (2023) - [c16]Shuwen Niu, Jingjing Tang, Xingyao Lin, Haoyang Lv, Liang Song, Zihao Jian:
Multi-view Coherence for Outdoor Reflective Surfaces. ICIC (1) 2023: 593-603 - [c15]Jingjing Tang, Geraint A. Wiggins, György Fazekas:
Pianist Identification Using Convolutional Neural Networks. IS2 2023: 1-6 - [i5]Jingjing Tang
Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. CoRR abs/2306.06040 (2023) - [i4]Eleanor Row
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting. CoRR abs/2307.09670 (2023) - [i3]Jingjing Tang
Pianist Identification Using Convolutional Neural Networks. CoRR abs/2310.00699 (2023) - [i2]Jincheng Zhang, Jingjing Tang, Charalampos Saitis, György Fazekas:
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models. CoRR abs/2310.14044 (2023) - 2022
- [j15]Jingjing Tang
Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. 189: 116117 (2022) - [j14]Yingjie Tian
Multi-view Teacher-Student Network. Neural Networks 146: 69-84 (2022) - [c14]Huan Zhang, Jingjing Tang, Syed Rm Rafee, Simon Dixon, George Fazekas, Geraint A. Wiggins:
ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance. ISMIR 2022: 446-453 - [c13]Yuejiao Xie, Jingjing Tang, Nan Yang, Man-On Pun:
Large-Scale Multi-Channel Transformer-based Speaker Identification with Knowledge Transfer Using Harmonic-Percussive Source Separation. WOCC 2022: 1-5 - 2021
- [j13]Jingjing Tang
Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. 551: 245-269 (2021) - [j12]Yingjie Tian
Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. 581: 951-977 (2021) - [j11]Jingjing Tang, Weiqi Xu, Jiahui Li
Multi-view learning methods with the LINEX loss for pattern classification. Knowl. Based Syst. 228: 107285 (2021) - [j10]Jingjing Tang, Jiahui Li
Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks 143: 327-344 (2021) - [c12]Shuaiyang Cheng, Liang Song, Jingjing Tang, Shihui Guo:
Audio-Visual Salient Object Detection. ICIC (2) 2021: 510-521 - [c11]Jingjing Tang, Liang Song, Jiabao Zeng, Juncong Lin:
The Virtual Camera Path in 3D Animation. ICIC (1) 2021: 874-882 - [i1]Xiao Yan, Xianghua Gan, Jingjing Tang, Rui Wang:
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting. CoRR abs/2111.03459 (2021) - 2020
- [j9]Jia Zhao
Density peaks clustering based on circular partition and grid similarity. Concurr. Comput. Pract. Exp. 32(7) (2020) - [j8]Jia Zhao, Jingjing Tang, Aiye Shi, Tanghuai Fan, Lizhong Xu:
Improved density peaks clustering based on firefly algorithm. Int. J. Bio Inspired Comput. 15(1): 24-42 (2020)
2010 – 2019
- 2019
- [j7]Jingjing Tang
Coupling privileged kernel method for multi-view learning. Inf. Sci. 481: 110-127 (2019) - [j6]Jingjing Tang
LGND: a new method for multi-class novelty detection. Neural Comput. Appl. 31(8): 3339-3355 (2019) - 2018
- [j5]Yiwei He
Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. 2018: 8425821:1-8425821:13 (2018) - [j4]Jingjing Tang
Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. 158: 94-108 (2018) - [j3]Jingjing Tang
Improved multi-view privileged support vector machine. Neural Networks 106: 96-109 (2018) - [j2]Jingjing Tang, Yingjie Tian
Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3463-3477 (2018) - [c10]Jiashuai Zhang, Yiwei He, Jingjing Tang:
Multi-view Multi-task Support Vector Machine. ICCS (2) 2018: 419-428 - [c9]Jingjing Tang
Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN 2018: 1-8 - 2017
- [j1]Jingjing Tang
A multi-kernel framework with nonparallel support vector machine. Neurocomputing 266: 226-238 (2017) - [c8]Dewei Li
Multi-view deep metric learning for image classification. ICIP 2017: 4142-4146 - [c7]Dewei Li
Metric learning for multi-instance classification with collapsed bags. IJCNN 2017: 372-379 - [c6]Jingjing Tang
Stochastic gradient descent for large-scale linear nonparallel SVM. WI 2017: 980-983 - 2016
- [c5]Jingjing Tang
Incorporate Hashing with Multi-view Learning. ICDM Workshops 2016: 853-859 - 2015
- [c4]Jingjing Tang
Connected bit minwise hashing for large-scale linear SVM. FSKD 2015: 995-1002 - [c3]Jingjing Tang
f-Fractional Bit Minwise Hashing for Large-Scale Learning. WI-IAT (3) 2015: 60-63 - 2013
- [c2]Jingjing Tang, Zhixiang Yin, Liguo Qu, Chaoli Tang:
Research on Modeling and Simulation of Virtual Miner Agent in Coalmine Virtual Environment. BIC-TA 2013: 1055-1062 - 2010
- [c1]Haixiang Dong, Jingjing Tang:
Research on Selection of Regional Leading Industry Based on Sustainable. ICEE 2010: 5239-5242
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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