activity
20232025
most citedVSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AR2025

A Memory-Efficient Retrieval Architecture for RAG-Enabled Wearable Medical LLMs-Agents

Zhipeng Liao, Kunming Shao, Jiangnan Yu +5

With powerful and integrative large language models (LLMs), medical AI agents have demonstrated unique advantages in providing personalized medical consultations, continuous health…

q-bio.NC2025

Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra

Ziyi Zeng, Yun-Hsuan Chen, Xurong Gao +8

The impact of repetitive transcranial magnetic stimulation (rTMS) on methamphetamine (METH) users' craving levels is often assessed using questionnaires. This study explores the fe…

cs.CV2025

CSDformer: A Conversion Method for Fully Spike-Driven Transformer

Yuhao Zhang, Chengjun Zhang, Di Wu +2

Spike-based transformer is a novel architecture aiming to enhance the performance of spiking neural networks while mitigating the energy overhead inherent to transformers. However,…

cs.CV2025

Ultra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection

Chengjun Zhang, Yuhao Zhang, Jie Yang +1

Spiking Neural Networks (SNNs), inspired by the brain, are characterized by minimal power consumption and swift inference capabilities on neuromorphic hardware, and have been widel…

eess.SP2025

Neuro-MoBRE: Exploring Multi-subject Multi-task Intracranial Decoding via Explicit Heterogeneity Resolving

Di Wu, Yifei Jia, Siyuan Li +3

Neurophysiological decoding, fundamental to advancing brain-computer interface (BCI) technologies, has significantly benefited from recent advances in deep learning. However, exist…

eess.SP2025

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis

Chengkai Wang, Di Wu, Yunsheng Liao +10

Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcranial magnetic stimulation (rTMS)…

cs.AR2024

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis

Kunming Shao, Fengshi Tian, Xiaomeng Wang +12

Digital Computing-in-Memory (DCIM) is an innovative technology that integrates multiply-accumulation (MAC) logic directly into memory arrays to enhance the performance of modern AI…

cs.CL2024

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Di Wu, Siyuan Li, Chen Feng +4

Recent advancements in brain-computer interfaces (BCIs) have enabled the decoding of lexical tones from intracranial recordings, offering the potential to restore the communication…

cs.CV2023★ 1 cited

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

Yankun Xu, Junzhe Wang, Yun-Hsuan Chen +4

An accurate and efficient epileptic seizure onset detection can significantly benefit patients. Traditional diagnostic methods, primarily relying on electroencephalograms (EEGs), o…