7 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…
EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG
ZhengXiao He, Minghong Cai, Letian Li +2
Motor pattern recognition paradigms are the main forms of Brain-Computer Interfaces(BCI) aimed at motor function rehabilitation and are the most easily promoted applications. In re…
FastHDRNet: A new efficient method for SDR-to-HDR Translation
Siyuan Tian, Hao Wang, Yiren Rong +3
Modern displays nowadays possess the capability to render video content with a high dynamic range (HDR) and an extensive color gamut .However, the majority of available resources a…
Commute with Community: Enhancing Shared Travel through Social Networks
Tian Siyuan, Dai Renjie, Wang Junhao +1
Shared mobility redefines urban transportation, offering economic and environmental benefits by reducing pollution and urban congestion. However, in the post-pandemic era, the shar…