Author

Zhiqiang Shen

Assistant Professor at Mohamed bin Zayed University of Artificial Intelligence - Cited by 5,292 - Machine Learning - Computer Vision - Efficient Networks - Knowledge Distillation

Biography

Dr. Zhiqiang Shen is an Associate professor in the department of Machine Learning Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213, United States. His study interests major on Machine Learning. Currently , Dr. Zhiqiang Shen is the author/editors/reviewer in several international journals. He published 5 articles in many journals and the articles are informative and got good citations.
Title
Cited by
Year
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Z Liu, Z Shen, M Savvides, KT ChengEuropean Conference on Computer Vision (ECCV), 2020, 2020202
242
2020
Soft anchor-point object detection
C Zhu, F Chen, Z Shen, M SavvidesEuropean Conference on Computer Vision (ECCV), 2020, 2020202
138
2020
MEAL: Multi-Model Ensemble via Adversarial Learning
Z Shen, Z He, X XueProceedings of the AAAI Conference on Artificial Intelligence (AAAI 2019), 2019201
131
2019
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
C Zhu, F Chen, U Ahmed, Z Shen, M SavvidesIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021202
113
2021
Towards Instance-level Image-to-Image Translation
Z Shen, M Huang, J Shi, X Xue, T HuangIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019201
97
2019
Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification
D Walawalkar, Z Shen, Z Liu, M SavvidesarXiv preprint arXiv:2003.13048, 2020202
77
2020
Un-mix: Rethinking image mixtures for unsupervised visual representation learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing(arXiv:2003.05438, 2020) AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022202
76
2022
Scl: Towards accurate domain adaptive object detection via gradient detach based stacked complementary losses
Z Shen, H Maheshwari, W Yao, M SavvidesarXiv preprint arXiv:1911.02559. Extended version accepted in IJCV 2020., 2019201
72
2019
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Z Shen, Z Liu, J Qin, M Savvides, KT ChengProceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021, 2021202
70
2021
Improving object detection from scratch via gated feature reuse
Z Shen, H Shi, J Yu, H Phan, R Feris, L Cao, S Yan, D Liu, X Wang, ...BMVC 2019, 201966201
66
2019
Meal v2: Boosting vanilla resnet-50 to 80%+ top-1 accuracy on imagenet without tricks
Z Shen, M SavvidesNeurIPS 2020 Beyond BackPropagation Workshop. (arXiv preprint:2009.08453), 2020202
62
2020
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Z Shen, Z Liu, D Xu, Z Chen, KT Cheng, M SavvidesInternational Conference on Learning Representations (ICLR), 2021, 2021202
59
2021
How Do Adam and Training Strategies Help BNNs Optimization?
Z Liu*, Z Shen*, S Li, K Helwegen, D Huang, KT ChengInternational Conference on Machine Learning (ICML), 2021, 2021202
55
2021
Mobinet: A mobile binary network for image classification
H Phan, Y He, M Savvides, Z ShenProceedings of the IEEE/CVF winter conference on applications of computer …, 2020202
50
2020
Contrast and Order Representations for Video Self-Supervised Learning
K Hu, J Shao, Y Liu, B Raj, M Savvides, Z ShenIEEE/CVF International Conference on Computer Vision (ICCV), 2021, 7939-7949, 2021202
44
2021
Binarizing MobileNet via Evolution-based Searching
H Phan, Z Liu, D Huynh, M Savvides, KT Cheng, Z ShenIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 …, 2020202
37
2020
Online Ensemble Model Compression using Knowledge Distillation
D Walawalkar, Z Shen, M SavvidesEuropean Conference on Computer Vision (ECCV), 2020, 2020202
37
2020
" BNN-BN=?": Training Binary Neural Networks Without Batch Normalization
T Chen, Z Zhang, X Ouyang, Z Liu, Z Shen, Z WangProceedings of the IEEE/CVF conference on computer vision and pattern …, 2021202
32
2021
Solving missing-annotation object detection with background recalibration loss
H Zhang, F Chen, Z Shen, Q Hao, C Zhu, M SavvidesICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020202
31
2020
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Z Liu, KT Cheng, D Huang, EP Xing, Z ShenIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 …, 2022202
24
2022

Referred From: https://scholar.google.com/citations?user=DGr0fVoAAAAJ&hl=en

Cited by
Citations 5292
h-index 24
i10-index 34
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