Jingjing Tang

Orcid: 0000-0003-1318-3566

According to our database1, Jingjing Tang authored at least 41 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Effective image registration model using optimized KAZE algorithm.
Multim. Tools Appl., March, 2024

2023
Coarse-grained privileged learning for classification.
Inf. Process. Manag., November, 2023

Multi-view cost-sensitive kernel learning for imbalanced classification problem.
Neurocomputing, October, 2023

Cost-sensitive learning with modified Stein loss function.
Neurocomputing, March, 2023

Image Super-Resolution via Lightweight Attention-Directed Feature Aggregation Network.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Robust multi-view learning with the bounded LINEX loss.
Neurocomputing, 2023

Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models.
CoRR, 2023

Pianist Identification Using Convolutional Neural Networks.
CoRR, 2023

JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting.
CoRR, 2023

Reconstructing Human Expressiveness in Piano Performances with a Transformer Network.
CoRR, 2023

Multi-view Coherence for Outdoor Reflective Surfaces.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Multi-view Teacher-Student Network.
Neural Networks, 2022

Image classification with multi-view multi-instance metric learning.
Expert Syst. Appl., 2022

Large-Scale Multi-Channel Transformer-based Speaker Identification with Knowledge Transfer Using Harmonic-Percussive Source Separation.
Proceedings of the 31st Wireless and Optical Communications Conference, 2022

ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021
Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation.
Neural Networks, 2021

Multi-view learning methods with the LINEX loss for pattern classification.
Knowl. Based Syst., 2021

Incomplete-view oriented kernel learning method with generalization error bound.
Inf. Sci., 2021

Coupling loss and self-used privileged information guided multi-view transfer learning.
Inf. Sci., 2021

ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting.
CoRR, 2021

The Virtual Camera Path in 3D Animation.
Proceedings of the Intelligent Computing Theories and Application, 2021

Audio-Visual Salient Object Detection.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Improved density peaks clustering based on firefly algorithm.
Int. J. Bio Inspired Comput., 2020

Density peaks clustering based on circular partition and grid similarity.
Concurr. Comput. Pract. Exp., 2020

2019
LGND: a new method for multi-class novelty detection.
Neural Comput. Appl., 2019

Coupling privileged kernel method for multi-view learning.
Inf. Sci., 2019

2018
Multiview Privileged Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2018

Improved multi-view privileged support vector machine.
Neural Networks, 2018

Multi-view learning based on nonparallel support vector machine.
Knowl. Based Syst., 2018

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization.
Complex., 2018

Large-Scale Linear NPSVM via One Permutation Hashing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-view Multi-task Support Vector Machine.
Proceedings of the Computational Science - ICCS 2018, 2018

2017
A multi-kernel framework with nonparallel support vector machine.
Neurocomputing, 2017

Stochastic gradient descent for large-scale linear nonparallel SVM.
Proceedings of the International Conference on Web Intelligence, 2017

Metric learning for multi-instance classification with collapsed bags.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-view deep metric learning for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Incorporate Hashing with Multi-view Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
f-Fractional Bit Minwise Hashing for Large-Scale Learning.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Connected bit minwise hashing for large-scale linear SVM.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2013
Research on Modeling and Simulation of Virtual Miner Agent in Coalmine Virtual Environment.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2010
Research on Selection of Regional Leading Industry Based on Sustainable.
Proceedings of the International Conference on E-Business and E-Government, 2010


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