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Jiachen Li

4 papers here

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CR1
  • q-bio.QM1
ORCID 0000-0001-9054-1975
same name
  • Jiachen Li — 29 papers
  • Jiachen Li — 7 papers
  • Jiachen Li — 5 papers
  • Jiachen Li — 4 papers
  • Jiachen Li — 4 papers
  • Jiachen Li — 3 papers, 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

most citedBackdoor Attacks against Hybrid Classical-Quantum Neural Networks

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 2 cited

Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features

Xiaoyang Ning, Qing Xie, Jinyu Xu +3

Recently, 3D backdoor attacks have posed a substantial threat to 3D Deep Neural Networks (3D DNNs) designed for 3D point clouds, which are extensively deployed in various security-…

q-bio.QM2024

GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models

Jiabei Cheng, Jiachen Li, Kaiyuan Yang +2

The remarkable success of foundation models has sparked growing interest in their application to single-cell biology. Models like Geneformer and scGPT promise to serve as versatile…

cs.CR2024★ 2 cited

Backdoor Attacks against Hybrid Classical-Quantum Neural Networks

Ji Guo, Wenbo Jiang, Rui Zhang +3

Hybrid Quantum Neural Networks (HQNNs) represent a promising advancement in Quantum Machine Learning (QML), yet their security has been rarely explored. In this paper, we present t…

cs.CV2023★ 1 cited

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…

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