OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Lipschitz Continuity Guided Knowledge Distillation
Yuzhang Shang, Bin Duan, Ziliang Zong, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 24

Showing 24 citing articles:

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta, Taojiannan Yang, Pu Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8387-8396
Open Access | Times Cited: 101

When Object Detection Meets Knowledge Distillation: A Survey
Zhihui Li, Pengfei Xu, Xiaojun Chang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 8, pp. 10555-10579
Closed Access | Times Cited: 56

Post-Training Quantization on Diffusion Models
Yuzhang Shang, Zhihang Yuan, Bin Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 43

Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation
Teng Sun, Yinwei Wei, Juntong Ni, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9036-9046
Closed Access | Times Cited: 5

HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Yuan Wei, Liang Qu, Lizhen Cui, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1324-1337
Open Access | Times Cited: 5

SSDL: Sensor-to-Skeleton Diffusion Model with Lipschitz Regularization for Human Activity Recognition
Nikhil Sharma, Changchang Sun, Zhenghao Zhao, et al.
Lecture notes in computer science (2025), pp. 85-99
Closed Access

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Chuanguang Yang, Xinqiang Yu, Zhulin An, et al.
Studies in computational intelligence (2023), pp. 1-32
Closed Access | Times Cited: 12

Cross-Architecture Knowledge Distillation
Yufan Liu, Jiajiong Cao, Bing Li, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 8, pp. 2798-2824
Closed Access | Times Cited: 4

Network Binarization via Contrastive Learning
Yuzhang Shang, Dan Xu, Ziliang Zong, et al.
Lecture notes in computer science (2022), pp. 586-602
Closed Access | Times Cited: 19

Cross-Architecture Knowledge Distillation
Yufan Liu, Jiajiong Cao, Bing Li, et al.
Lecture notes in computer science (2023), pp. 179-195
Closed Access | Times Cited: 11

Joint Answering and Explanation for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 3836-3846
Open Access | Times Cited: 10

Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks
Guangyu Guo, Dingwen Zhang, Longfei Han, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9536-9550
Closed Access | Times Cited: 3

Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang, Dan Xu, Bin Duan, et al.
Lecture notes in computer science (2022), pp. 603-619
Open Access | Times Cited: 14

IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103258-103258
Closed Access | Times Cited: 8

Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT
Yifan Zhang, Zhuangzhuang Chen, Xuan Yang
Computers in Biology and Medicine (2024) Vol. 170, pp. 108088-108088
Closed Access | Times Cited: 2

Enhancing Post-Training Quantization Calibration Through Contrastive Learning
Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15921-15930
Closed Access | Times Cited: 2

Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang, Dan Xu, Gaowen Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 15899-15908
Closed Access | Times Cited: 1

Causal-DFQ: Causality Guided Data-free Network Quantization
Yuzhang Shang, Bingxin Xu, Gaowen Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 17391-17400
Open Access | Times Cited: 2

Network Specialization via Feature-level Knowledge Distillation
Gaowen Liu, Yuzhang Shang, Yuguang Yao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 3368-3375
Closed Access | Times Cited: 1

DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization
Xueqing Deng, Dawei Sun, Shawn Newsam, et al.
Lecture notes in computer science (2022), pp. 218-235
Open Access | Times Cited: 2

Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning
Yuzhang Shang, Bin Duan, Ziliang Zong, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 4203-4207
Open Access | Times Cited: 1

Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation
Yifan Zhang, Shaojie Li, Xuan Yang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access

Neighbor Self-Knowledge Distillation
Liang Peng, Weiwei Zhang, Junhuang Wang, et al.
(2023)
Closed Access

Semantic-Guided Completion Network for Video Inpainting in Complex Urban Scene
Jianan Wang, Hanyu Xuan, Zhiliang Wu
Lecture notes in computer science (2023), pp. 224-236
Closed Access

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