activity
20232025
most citedTCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine

9 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

TS-PCL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification

Qi'ao Xu, Pengfei Wang, Bo Zhong +4

Medical time series (MedTS) classification is pivotal for intelligent healthcare, yet its efficacy is severely limited by poor cross-subject generation due to the profound cross-in…

cs.CV2025

HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection

Qi'ao Xu, Pengfei Wang, Yanjun Li +2

Semi-supervised change detection (SSCD) aims to detect changes between bi-temporal remote sensing images by utilizing limited labeled data and abundant unlabeled data. Existing met…

eess.SP2024★ 6 cited

A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications

Pengfei Wang, Huanran Zheng, Silong Dai +4

In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence…

cs.AI2024

TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models

Pengfei Wang, Huanran Zheng, Qi'ao Xu +6

Given the significant potential of large language models (LLMs) in sequence modeling, emerging studies have begun applying them to time-series forecasting. Despite notable progress…

cs.CL2024★ 9 cited

TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine

Wenjing Yue, Xiaoling Wang, Wei Zhu +5

Large language models (LLMs) have performed remarkably well in various natural language processing tasks by benchmarking, including in the Western medical domain. However, the prof…

cs.CL2024★ 3 cited

Text2MDT: Extracting Medical Decision Trees from Medical Texts

Wei Zhu, Wenfeng Li, Xing Tian +6

Knowledge of the medical decision process, which can be modeled as medical decision trees (MDTs), is critical to build clinical decision support systems. However, the current MDT c…

cs.CL2023

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

Huanran Zheng, Wei Zhu, Pengfei Wang +1

Non-autoregressive translation (NAT) model achieves a much faster inference speed than the autoregressive translation (AT) model because it can simultaneously predict all tokens du…