Author

Jian PU

Institute of Science and Technology for Brain-inspired Intelligence, Fudan University - Cited by 1,404 - autonomous driving

Biography

Pu Jian graduated her doctoral course from the University of Tokyo in March, 2011 and joined as a project researcher in the Integrated Research System for Sustainability Science (IR3S) at the University of Tokyo
Title
Cited by
Year
Human identification using temporal information preserving gait template
C Wang, J Zhang, L Wang, J Pu, X YuanIEEE transactions on pattern analysis and machine intelligence 34 (11), 2164 …, 2011201
326
2011
Exploring inter-feature and inter-class relationships with deep neural networks for video classification
Z Wu, YG Jiang, J Wang, J Pu, X XueProceedings of the 22nd ACM international conference on Multimedia, 167-176, 2014201
161
2014
Large-scale persistent network reconfiguration induced by ketamine in anesthetized monkeys: relevance to mood disorders
Q Lv, L Yang, G Li, Z Wang, Z Shen, W Yu, Q Jiang, B Hou, J Pu, H Hu, ...Biological Psychiatry, 2015201
63
2015
Which looks like which: Exploring inter-class relationships in fine-grained visual categorization
J Pu, YG Jiang, J Wang, X XueComputer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014201
40
2014
Glioma grading based on 3D multimodal convolutional neural network and privileged learning
F Ye, J Pu, J Wang, Y Li, H Zha2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017201
30
2017
Flexible multi-task learning with latent task grouping
S Zhong, J Pu, YG Jiang, R Feng, X XueNeurocomputing 189, 179-188, 2016201
21
2016
The Kelly growth optimal portfolio with ensemble learning
W Shen, B Wang, J Pu, J WangProceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1134-1141, 2019201
17
2019
Satellite image scene classification via convnet with context aggregation
Z Zhou, Y Zheng, H Ye, J Pu, G SunAdvances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018201
17
2018
Multiple task learning using iteratively reweighted least square
J Pu, YG Jiang, J Wang, X XueProceedings of the Twenty-Third international joint conference on Artificial …, 2013201
16
2013
Crowd counting with density adaption networks
L Wang, W Shao, Y Lu, H Ye, J Pu, Y ZhengarXiv preprint arXiv:1806.10040, 2018201
14
2018
Graph decoupling attention markov networks for semisupervised graph node classification
J Chen, S Chen, M Bai, J Pu, J Zhang, J GaoIEEE Transactions on Neural Networks and Learning Systems, 2022202
13
2022
Discriminative Structured Feature Engineering for Macroscale Brain Connectomes
J Pu, J Wang, W Yu, Z Shen, Q Lv, K Zeljic, C Zhang, B Sun, G Liu, ...IEEE Transactions on Medical Imaging, 2015201
11
2015
Selfgait: A spatiotemporal representation learning method for self-supervised gait recognition
Y Liu, Y Zeng, J Pu, H Shan, P He, J ZhangICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021202
11
2021
HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer
J Zhang, J Pu, J Xue, M Yang, X Xu, X Wang, FY WangIEEE Transactions on Intelligent Vehicles, 2023202
10
2023
Memory-based message passing: Decoupling the message for propagation from discrimination
J Chen, W Liu, J PuICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022202
9
2022
Learning multiviewpoint context-aware representation for RGB-D scene classification
Y Zheng, H Ye, L Wang, J PuIEEE Signal Processing Letters 25 (1), 30-34, 2017201
8
2017
Three-dimensional semantic segmentation of pituitary adenomas based on the deep learning framework-nnU-Net: A clinical perspective
X Shu, Y Zhou, F Li, T Zhou, X Meng, F Wang, Z Zhang, J Pu, B XuMicromachines 12 (12), 143, 2021202
7
2021
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information
J Pu, J Wang, Y Zheng, H Ye, W Shen, Y Li, H Zha2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017201
6
2017
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation
F Ye, Y Zheng, H Ye, X Han, Y Li, J Wang, J PuNeurocomputing 425, 1-11, 2021202
6
2021
False positive rate control for positive unlabeled learning
S Kong, W Shen, Y Zheng, A Zhang, J Pu, J WangNeurocomputing 37, 13-19, 2019201
6
2019

Referred From: https://scholar.google.com/citations?user=9pUCoOkAAAAJ&hl=en

Cited by
Citations 1404
h-index 16
i10-index 21
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