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Yurong Chen

30 papers hereh-index 266.7k citations76 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author22
  • last author8

Across the 30 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.LG2
  • cs.NE2
  • cs.AR1
  • eess.IV1
same name
  • Yurong Chen — 11 papers, h 6
  • Yurong Chen — 3 papers, h 3
  • Yurong Chen — 1 paper
  • Yurong Chen — 1 paper, h 8
  • Yurong Chen — 1 paper, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedIncremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

481 citations · 1.3k across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.AR2020

AccSS3D: Accelerator for Spatially Sparse 3D DNNs

Om Ji Omer, Prashant Laddha, Gurpreet S Kalsi +6

Semantic understanding and completion of real world scenes is a foundational primitive of 3D Visual perception widely used in high-level applications such as robotics, medical imag…

cs.CV2020★ 3 cited

LID 2020: The Learning from Imperfect Data Challenge Results

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32

Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…

cs.CV2020★ 2 cited

CASNet: Common Attribute Support Network for image instance and panoptic segmentation

Xiaolong Liu, Yuqing Hou, Anbang Yao +2

Instance segmentation and panoptic segmentation is being paid more and more attention in recent years. In comparison with bounding box based object detection and semantic segmentat…

cs.LG2020

On Connections between Regularizations for Improving DNN Robustness

Yiwen Guo, Long Chen, Yurong Chen +1

This paper analyzes regularization terms proposed recently for improving the adversarial robustness of deep neural networks (DNNs), from a theoretical point of view. Specifically,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.