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Tiejun Huang

28 papers hereh-index 242.1k citations101 works total

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

author position
  • middle author11
  • last author12

Across the 23 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.NE9
  • q-bio.NC2
  • cs.CL1
same name
  • Tiejun Huang — 56 papers, h 61
  • Tiejun Huang — 21 papers, h 7
  • Tiejun Huang — 16 papers, h 5
  • Tiejun Huang — 11 papers, h 6
  • Tiejun Huang — 9 papers, h 9
  • Tiejun Huang — 7 papers, h 5

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
20202025
most citedOptimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

88 citations · 140 across the 28 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025★ 1 cited

Inter-event Interval Microscopy for Event Cameras

Changqing Su, Yanqin Chen, Zihan Lin +5

Event cameras, an innovative bio-inspired sensor, differ from traditional cameras by sensing changes in intensity rather than directly perceiving intensity and recording these vari…

cs.CV2025

Rethinking High-speed Image Reconstruction Framework with Spike Camera

Kang Chen, Yajing Zheng, Tiejun Huang +1

Spike cameras, as innovative neuromorphic devices, generate continuous spike streams to capture high-speed scenes with lower bandwidth and higher dynamic range than traditional RGB…

cs.CV2025★ 1 cited

Differential Coding for Training-Free ANN-to-SNN Conversion

Zihan Huang, Wei Fang, Tong Bu +6

Spiking Neural Networks (SNNs) exhibit significant potential due to their low energy consumption. Converting Artificial Neural Networks (ANNs) to SNNs is an efficient way to achiev…

cs.CV2025

Towards High-performance Spiking Transformers from ANN to SNN Conversion

Zihan Huang, Xinyu Shi, Zecheng Hao +4

Spiking neural networks (SNNs) show great potential due to their energy efficiency, fast processing capabilities, and robustness. There are two main approaches to constructing SNNs…

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