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Chao Wu

4 papers hereh-index 5145 citations11 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.AI1
  • cs.ET1
same name
  • Chao Wu — 17 papers, h 8
  • Chao Wu — 8 papers, h 6
  • Chao Wu — 7 papers, h 14
  • Chao Wu — 7 papers, h 2
  • Chao Wu — 6 papers
  • Chao Wu — 5 papers, h 2

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

collaborators

4 papers

cs.AI2024

Search for Efficient Large Language Models

Xuan Shen, Pu Zhao, Yifan Gong +7

Large Language Models (LLMs) have long held sway in the realms of artificial intelligence research. Numerous efficient techniques, including weight pruning, quantization, and disti…

cs.CV2024

Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices

Yifan Gong, Yushu Wu, Zheng Zhan +5

Two-stage object detectors exhibit high accuracy and precise localization, especially for identifying small objects that are favorable for various edge applications. However, the h…

cs.CV2024

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge

Chao Wu, Yifan Gong, Liangkai Liu +7

Object detection on the edge (Edge-OD) is in growing demand thanks to its ever-broad application prospects. However, the development of this field is rigorously restricted by the d…

cs.ET2024

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits

Yanyue Xie, Peiyan Dong, Geng Yuan +10

Superconducting circuits, like Adiabatic Quantum-Flux-Parametron (AQFP), offer exceptional energy efficiency but face challenges in physical design due to sophisticated spacing and…

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