Jiefeng Peng
Jiefeng Peng
Dark Matter AI Inc.
Verified email at dm-ai.cn
Cited by
Cited by
Block-wisely supervised neural architecture search with knowledge distillation
C Li, J Peng, L Yuan, G Wang, X Liang, L Lin, X Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Attentive crowd flow machines
L Liu, R Zhang, J Peng, G Li, B Du, L Lin
Proceedings of the 26th ACM international conference on Multimedia, 1553-1561, 2018
Kalman normalization: Normalizing internal representations across network layers
G Wang, J Peng, P Luo, X Wang, L Lin
Advances in neural information processing systems, 21-31, 2018
Batch kalman normalization: Towards training deep neural networks with micro-batches
G Wang, J Peng, P Luo, X Wang, L Lin
arXiv preprint arXiv:1802.03133, 2018
Bossnas: Exploring hybrid cnn-transformers with block-wisely self-supervised neural architecture search
C Li, T Tang, G Wang, J Peng, B Wang, X Liang, X Chang
arXiv preprint arXiv:2103.12424, 2021
Learning deep representations for semantic image parsing: a comprehensive overview
L Huang, J Peng, R Zhang, G Li, L Lin
Frontiers of Computer Science 12 (5), 840-857, 2018
The Semantic Knowledge Embedded Deep Representation Learning and Its Applications on Visual Understanding
R Zhang, J Peng, Y Wu, L Lin
Journal of Computer Research and Development 54 (6), 1251, 2017
{E} fficient {BERT}: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
C Dong, G Wang, H Xu, J Peng, X Ren, X Liang
arXiv preprint arXiv:2109.07222, 2021
Unifying Dynamic Optimizer Search and Network Architecture Search
B Yang, X Liang, J Zhong, J Peng, G Wang, L Lin
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
J Peng, J Zhang, C Li, G Wang, X Liang, L Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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