1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
Huayu Li, ZhengXiao He, Xiwen Chen +4
Learning meaningful representations from medical time series (MedTS) such as ECG or EEG signals is a critical challenge. These signals are often high-dimensional, variable-length a…
MedMamba: Recasting Mamba for Medical Time Series Classification
ZhengXiao He, Huayu Li, Xiwen Chen +4
Medical time series, such as electrocardiograms (ECG) and electroencephalograms (EEG), exhibit complex temporal dynamics and structured cross-channel dependencies, posing fundament…
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
Huayu Li, ZhengXiao He, Siyuan Tian +2
Standard autoregressive decoding in large language models (LLMs) is inherently short-sighted, often failing to find globally optimal reasoning paths due to its token-by-token gener…
NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment
ZhengXiao He, Jinghao Wen, Huayu Li +2
We present a novel and interpretable framework for electrocardiogram (ECG)-based disease detection that combines hyperdimensional computing (HDC) with learnable neural encoding. Un…
Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
Jinghao Wen, Dongning Ma, Sizhe Zhang +2
Hyperdimensional Computing (HDC) is a promising bio-inspired learning paradigm for its advantage of balancing performance and efficiency and has been increasingly applied to the bi…