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Yibo Lin

Peking University

17 papers hereh-index 363.6k citations138 works total

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

author position
  • first author2
  • middle author6
  • last author8

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.AR4
  • cs.DC3
  • cs.OH1
affiliations
  • Peking University
same name
  • Yibo Lin — 18 papers, h 10
  • Yibo Lin — 9 papers, h 6
  • Yibo Lin — 8 papers, h 2
  • Yibo Lin — 4 papers, h 9
  • Yibo Lin — 1 paper, h 3

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
20142026
most citedTaskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

172 citations · 275 across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.LG2018★ 4 cited

Towards a Theoretical Understanding of Hashing-Based Neural Nets

Yibo Lin, Zhao Song, Lin F. Yang

Parameter reduction has been an important topic in deep learning due to the ever-increasing size of deep neural network models and the need to train and run them on resource limite…

cs.OH2018

OpenMPL: An Open Source Layout Decomposer

Wei Li, Yuzhe Ma, Qi Sun +4

Multiple patterning lithography has been widely adopted in advanced technology nodes of VLSI manufacturing. As a key step in the design flow, multiple patterning layout decompositi…

cs.LG2018★ 6 cited

Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection

Yibo Lin, Meng Li, Yuki Watanabe +4

Lithography simulation is one of the key steps in physical verification, enabled by the substantial optical and resist models. A resist model bridges the aerial image simulation to…

cs.LG2018★ 32 cited

Learning Long Term Dependencies via Fourier Recurrent Units

Jiong Zhang, Yibo Lin, Zhao Song +1

It is a known fact that training recurrent neural networks for tasks that have long term dependencies is challenging. One of the main reasons is the vanishing or exploding gradient…

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