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researcher

Yiran Chen

4 papers hereh-index 7215 citations8 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR1
  • cs.CL1
  • cs.CV1
  • cs.LG1
same name
  • Yiran Chen — 40 papers, h 65
  • Yiran Chen — 15 papers, h 26
  • Yiran Chen — 13 papers
  • Yiran Chen — 3 papers
  • Yiran Chen — 3 papers
  • Yiran 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
20182021
most citedEnhancing Scientific Papers Summarization with Citation Graph

8 citations · 13 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2021★ 1 cited

Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation

Xuezhong Lin, Jingyu Pan, Jinming Xu +2

As technology scaling is approaching the physical limit, lithography hotspot detection has become an essential task in design for manufacturability. While the deployment of pattern…

cs.CL2021★ 8 cited

Enhancing Scientific Papers Summarization with Citation Graph

Chenxin An, Ming Zhong, Yiran Chen +3

Previous work for text summarization in scientific domain mainly focused on the content of the input document, but seldom considering its citation network. However, scientific pape…

cs.AR2020★ 4 cited

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination

Fuxun Yu, Zirui Xu, Tong Shen +12

Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the increasing computational cost makes them very challenging to meet real-time latency and accuracy requirements. A…

cs.CV2018

2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy

Chuhan Min, Aosen Wang, Yiran Chen +2

Deep Convolutional Neural Networks~(CNNs) offer remarkable performance of classifications and regressions in many high-dimensional problems and have been widely utilized in real-wo…

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