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Wenzhong Liu

3 papers hereh-index 573 citations23 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • cs.RO1
  • eess.SP1
same name
  • Wenzhong Liu — 3 papers
  • Wenzhong Liu — 2 papers, h 4
  • Wenzhong Liu — 2 papers, h 4
  • Wenzhong Liu — 1 paper, h 12
  • Wenzhong Liu — 1 paper, h 4
  • Wenzhong Liu — 1 paper, 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

most citedMulti-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification

29 citations · 45 across the 2 of their papers we have counts for

collaborators

3 papers

cs.RO2026

An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks

Chaoqing Tang, Jiaxuan Li, Huanze Zhuang +4

To address data overload and inefficient shape-level annotation in robotic visual inspection, this paper proposes a hardware-software integrated optoelectronic architecture. A non-…

cs.HC2024★ 16 cited

Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer Interfaces

Lubin Meng, Xue Jiang, Xiaoqing Chen +3

A brain-computer interface (BCI) enables direct communication between the brain and an external device. Electroencephalogram (EEG) is a common input signal for BCIs, due to its con…

eess.SP2024★ 29 cited

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification

Ruimin Peng, Zhenbang Du, Changming Zhao +4

Cross-subject electroencephalogram (EEG) based seizure subtype classification is very important in precise epilepsy diagnostics. Deep learning is a promising solution, due to its a…

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