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Weichen Liu

11 papers hereh-index 5112 citations25 works total

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

author position
  • middle author1
  • last author10

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.DC3
  • cs.LG3
  • cs.AR2
  • cs.CV2
  • cs.AI1
same name
  • Weichen Liu — 6 papers, h 30
  • Weichen Liu — 6 papers, h 2
  • Weichen Liu — 1 paper, h 2
  • Weichen Liu — 1 paper, h 1
  • Weichen Liu — 1 paper, h 1
  • Weichen Liu — 1 paper, h 4

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

works on
convolutional neural networks 1efficiency optimization 1embedded hardware 1model compression 1pruning 1

From the 1 of 11 linked papers with an AI index.

activity
20242026
most citedCRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation

6 citations · 13 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026★ 3 cited

EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

Shuo Huai, Hao Kong, Shiqing Li +5

Edge devices are increasingly utilized for deploying deep learning applications on embedded systems. The real-time nature of many applications and the limited resources of edge dev…

cs.LG2025

Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision

Xiangzhong Luo, Di Liu, Hao Kong +4

Deep neural networks (DNNs) have recently achieved impressive success across a wide range of real-world vision and language processing tasks, spanning from image classification to…

cs.LG2025

Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems

Xiangzhong Luo, Weichen Liu

Thanks to the evolving network depth, convolutional neural networks (CNNs) have achieved remarkable success across various embedded scenarios, paving the way for ubiquitous embedde…

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