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Jake Zhao (Junbo)
Jake Zhao (Junbo)
Zhejiang University, ZJU100 Young Professor
在 zju.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Character-level convolutional networks for text classification
X Zhang, J Zhao, Y LeCun
Advances in neural information processing systems 28, 2015
48602015
End to end learning for self-driving cars
A (All equal contribution), M Bojarski, D Del Testa, D Dworakowski, ...
NIPS 2016 Symposium, 2016
3902*2016
Energy-based generative adversarial network
J Zhao, M Mathieu, Y LeCun
ICLR 2017, 2016
12882016
BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer
F Sun, J Liu, J Wu, C Pei, X Lin, W Ou, P Jiang
Proceedings of the 28th ACM international conference on information and …, 2019
7562019
Disentangling factors of variation in deep representation using adversarial training
MF Mathieu, J Zhao, A Ramesh, P Sprechmann, Y LeCun
Advances in Neural Information Processing Systems, 5041-5049, 2016
4772016
Deep graph library: Towards efficient and scalable deep learning on graphs
M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ...
arXiv preprint arXiv:1909.01315, 2019
4292019
Stacked What-Where Auto-encoders
YLC Junbo Zhao, Michael Mathieu, Ross Goroshin
ICLR 2016, 2016
331*2016
Adversarially Regularized Autoencoders
J Zhao, Y Kim, K Zhang, AM Rush, Y LeCun
ICML 2018, 2017
2642017
Levenshtein transformer
J Gu, C Wang, J Zhao
Advances in Neural Information Processing Systems 32, 2019
2472019
Glomo: Unsupervised learning of transferable relational graphs
Z Yang, J Zhao, B Dhingra, K He, WW Cohen, RR Salakhutdinov, ...
Advances in Neural Information Processing Systems 31, 2018
55*2018
End to end learning for self-driving cars. CoRR abs/1604.07316 (2016)
M Bojarski, D Del Testa, D Dworakowski, B Firner, B Flepp, P Goyal, ...
arXiv preprint arXiv:1604.07316, 2016
402016
Pianotree vae: Structured representation learning for polyphonic music
Z Wang, Y Zhang, Y Zhang, J Jiang, R Yang, J Zhao, G Xia
arXiv preprint arXiv:2008.07118, 2020
272020
Prediction under uncertainty with error-encoding networks
M Henaff, J Zhao, Y LeCun
arXiv preprint arXiv:1711.04994, 2017
212017
PiCO: Contrastive Label Disambiguation for Partial Label Learning
H Wang, R Xiao, Y Li, L Feng, G Niu, G Chen, J Zhao
arXiv preprint arXiv:2201.08984, 2022
192022
Retrieval-augmented convolutional neural networks for improved robustness against adversarial examples
J Zhao, K Cho
arXiv preprint arXiv:1802.09502, 2018
142018
A critical look at the current train/test split in machine learning
J Tan, J Yang, S Wu, G Chen, J Zhao
arXiv preprint arXiv:2106.04525, 2021
122021
Retrieval-augmented convolutional neural networks against adversarial examples
K Cho
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
102019
Character-level convolutional networks for text classification. CoRR abs/1509.01626 (2015)
X Zhang, JJ Zhao, Y LeCun
arXiv preprint arXiv:1509.01626, 2015
92015
Advances in neural information processing systems. 2015
X Zhang, J Zhao, Y LeCun
Character-level convolutional networks for text classification, 649-657, 0
9
Distribution state estimation with renewable sources based distributed generations using a modified quantum-inspired evolutionary algorithm
JB Zhao, GX Zhang, XR Wang, DH Zou
Journal of Renewable and Sustainable Energy 5 (5), 053133, 2013
72013
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