3 citations · 12 across the 13 of their papers we have counts for
13 papers
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.…
AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
Lian Yan, Haotian Wang, Chen Tang +5
In the agricultural domain, the deployment of large language models (LLMs) is hindered by the lack of training data and evaluation benchmarks. To mitigate this issue, we propose Ag…
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
Rujia Shen, Boran Wang, Chao Zhao +2
Causal discovery from time-series data aims to capture both intra-slice (contemporaneous) and inter-slice (time-lagged) causality between variables within the temporal chain, which…
ProSpec RL: Plan Ahead, then Execute
Liangliang Liu, Yi Guan, BoRan Wang +5
Imagining potential outcomes of actions before execution helps agents make more informed decisions, a prospective thinking ability fundamental to human cognition. However, mainstre…
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 prompting model-based offline reinforcement learning
Xuehui Yu, Yi Guan, Rujia Shen +3
Model-based offline Reinforcement Learning (RL) allows agents to fully utilise pre-collected datasets without requiring additional or unethical explorations. However, applying mode…
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks
Jingchi Jiang, Rujia Shen, Boran Wang +1
Type 1 diabetes mellitus (T1D) is characterized by insulin deficiency and blood glucose (BG) control issues. The state-of-the-art solution for continuous BG control is reinforcemen…
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…
De-identification of medical records using conditional random fields and long short-term memory networks
Zhipeng Jiang, Chao Zhao, Bin He +2
The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processing focuses on the de-identification of psychiatric evaluation records. This paper describes two participatin…
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…
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records
Jia Su, Bin He, Yi Guan +2
Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build…