2 citations · 5 across the 6 of their papers we have counts for
6 papers · 1 filter
MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning
Haotian Wang, Lian Yan, Xingzhi Yao +4
In Reinforcement Learning with Verifiable Rewards (RLVR) frameworks for mathematical reasoning tasks, floating-point results are typically evaluated using a tolerance-based reward.…
FiVTS: Time Series Forecasting Via Capturing Intra- and Inter-Variable Variations in the Frequency Domain
Rujia Shen, Yang Yang, Yaoxion Lin +4
Time series forecasting (TSF) plays a crucial role in various applications, including medical monitoring and crop growth. Despite the advancements in deep learning methods for TSF,…
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System
Xuehui Yu, Jingchi Jiang, Xinmiao Yu +2
Complex systems are ubiquitous in the real world and tend to have complicated and poorly understood dynamics. For their control issues, the challenge is to guarantee accuracy, robu…
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
Jingchi Jiang, Huanzheng Wang, Jing Xie +3
The representation of knowledge based on first-order logic captures the richness of natural language and supports multiple probabilistic inference models. Although symbolic represe…
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
Chao Zhao, Jingchi Jiang, Yi Guan
Objective: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support (CDS). Our objective is a general system that ca…
Learning and inference in knowledge-based probabilistic model for medical diagnosis
Jingchi Jiang, Chao Zhao, Yi Guan +1
Based on a weighted knowledge graph to represent first-order knowledge and combining it with a probabilistic model, we propose a methodology for the creation of a medical knowledge…