Jingchi Jiang

According to our database, Jingchi Jiang authored at least 58 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models.

Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang

CoRR, July, 2025

Hierarchical Causal Discovery From Large-Scale Observed Variables.

Rujia Shen, Muhan Li, Chao Zhao, Boran Wang, Yi Guan, Jie Liu, Jingchi Jiang

IEEE Trans. Knowl. Data Eng., May, 2025

GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking Mechanism.

Chen Tang, Bo Lv, Zifan Zheng, Bohao Yang, Kun Zhao, Ning Liao, Xiaoxing Wang, Feiyu Xiong, Zhiyu Li, Nayu Liu, Jingchi Jiang

CoRR, January, 2025

Knowledge assimilation: Implementing knowledge-guided agricultural large language model.

Jingchi Jiang, Lian Yan, Haifeng Liu, Zhenbo Xia, Haotian Wang, Yang Yang, Yi Guan

Knowl. Based Syst., 2025

Quality-Controllable automatic construction method of Chinese knowledge graph for medical decision-making applications.

Xue Li, Ye Yuan, Yang Yang, Yi Guan, Haotian Wang, Jingchi Jiang, Huaizhang Shi, Xiguang Liu

Inf. Process. Manag., 2025

Modeling clinical thinking based on knowledge hypergraph attention network and prompt learning for disease prediction.

Yang Yang, Xin Li, Haotian Wang, Xue Li, Yi Guan, Jingchi Jiang

Expert Syst. Appl., 2025

Causal discovery based on hierarchical reinforcement learning.

Jingchi Jiang, Rujia Shen, Chao Zhao, Yi Guan, Xuehui Yu, Xuelian Fu

Expert Syst. Appl., 2025

A bidirectional reasoning approach for blood glucose control via invertible neural networks.

Jingchi Jiang, Rujia Shen, Yang Yang, Boran Wang, Yi Guan

Comput. Methods Programs Biomed., 2025

Multi-modal multi-agent debate-based dialectical knowledge transfer learning.

Haotian Wang, Weijiang Yu, Xiyuan Du, Qianglong Chen, Zheng Chu, Lian Yan, Jingchi Jiang, Yi Guan

Appl. Soft Comput., 2025

RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations.

Lian Yan, Chen Tang, Yi Guan, Haotian Wang, Songyuan Wang, Haifeng Liu, Yang Yang, Jingchi Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Agri-CM³: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning.

Haotian Wang, Yi Guan, Fanshu Meng, Chao Zhao, Lian Yan, Yang Yang, Jingchi Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis.

Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang

IEEE J. Biomed. Health Informatics, October, 2024

Knowledge-based dynamic prompt learning for multi-label disease diagnosis.

Jing Xie, Xin Li, Ye Yuan, Yi Guan, Jingchi Jiang, Xitong Guo, Xin Peng

Knowl. Based Syst., 2024

An interactive food recommendation system using reinforcement learning.

Liangliang Liu, Yi Guan, Zi Wang, Rujia Shen, Guowei Zheng, Xuelian Fu, Xuehui Yu, Jingchi Jiang

Expert Syst. Appl., 2024

KRC-APM: Key region cutting and artificial prior model for breast cancer recognition in ultrasound images.

Yi Lin, Haosen Wang, Jingchi Jiang

Expert Syst. Appl., 2024

Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks.

Rujia Shen, Boran Wang, Chao Zhao, Yi Guan, Jingchi Jiang

CoRR, 2024

ProSpec RL: Plan Ahead, then Execute.

Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang

CoRR, 2024

Causal prompting model-based offline reinforcement learning.

Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang

CoRR, 2024

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks.

Jingchi Jiang, Rujia Shen, Boran Wang, Yi Guan

CoRR, 2024

Forecasting Influenza Like Illness based on White-Box Transformers.

Rujia Shen, Yaoxiong Lin, Boran Wang, Liangliang Liu, Yi Guan, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

ARRS: Adaptive Representation and Relevance Scoring Enhance Whole Slide Image Classification using Multi-Instance Learning.

Chaoran Kong, Jingchi Jiang, Peng Chen, Yi Guan, Xiguang Liu, Haiyan You, Yunyun Cao, Yang Yang, Yi Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics.

Xuehui Yu, Yi Guan, Lian Yan, Shulang Li, Xuelian Fu, Jingchi Jiang

Expert Syst. Appl., October, 2023

DED: Diagnostic Evidence Distillation for acne severity grading on face images.

Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang

Expert Syst. Appl., October, 2023

LHP: Logical hypergraph link prediction.

Yang Yang, Xue Li, Yi Guan, Haotian Wang, Chaoran Kong, Jingchi Jiang

Expert Syst. Appl., July, 2023

A Weakly-Supervised Method for Named Entity Recognition of Agricultural Knowledge Graph.

Ling Wang, Jingchi Jiang, Jingwen Song, Jie Liu

Intell. Autom. Soft Comput., 2023

DECAF: An interpretable deep cascading framework for ICU mortality prediction.

Jingchi Jiang, Xuehui Yu, Boran Wang, Linjiang Ma, Yi Guan

Artif. Intell. Medicine, 2023

Interpretable Diagnosis of Face Acne via Complementation Learning of Evidence Localization and Severity Level Grading.

Zeming Zhang, Zhuoran Liu, Jingchi Jiang, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Clarifying Confusion in Acne Severity Grading via Visualized Aggregation and Separation of Deep Representation.

Zeming Zhang, Jingchi Jiang, Ruyue Dong, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Efficient Evidence-Based Dialogue System for Medical Diagnosis.

Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

KIEGLFN: A unified acne grading framework on face images.

Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Haiyan You, Xue Cheng, Bingmei Liu, Gongning Luo

Comput. Methods Programs Biomed., 2022

Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning.

Jingchi Jiang, Tao Wang, Boran Wang, Linjiang Ma, Yi Guan

Artif. Intell. Medicine, 2022

Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System.

Xuehui Yu, Yi Guan, Xinmiao Yu, Xue Li, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis.

Haotian Wang, Yi Guan, Linjiang Ma, Xin Li, Jing Xie, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CGPG-GAN: An Acne Lesion Inpainting Model for Boosting Downstream Diagnosis.

Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge.

Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unified Fine-Grained Biomedical Entity Recognition as a Combination of Boundary Detection and Sequence Generation.

Xue Li, Yang Yang, Mingchen Ye, Yi Guan, Xuehui Yu, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning.

Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan

Proceedings of the Web Information Systems and Applications, 2022

2021

Clinical decision-making framework against over-testing based on modeling implicit evaluation criteria.

Yang Yang, Hongxing Huo, Jingchi Jiang, Xuemei Sun, Yi Guan, Xitong Guo, Xiang Wan, Shengping Liu

J. Biomed. Informatics, 2021

An Acne Grading Framework on Face Images via Skin Attention and SFNet.

Yi Lin, Yi Guan, Zhaoyang Ma, Haiyan You, Xue Cheng, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis.

Jing Xie, Jingchi Jiang, Yehan Wang, Yi Guan, Xitong Guo

Artif. Intell. Medicine, 2020

Medical knowledge embedding based on recursive neural network for multi-disease diagnosis.

Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu

Artif. Intell. Medicine, 2020

NormCG: A Novel Deep Learning Model for Medical Entity Linking.

Chen Tang, Weile Chen, Tao Wang, Chun Sun, Jingchi Jiang, Yi Guan

Proceedings of the Intelligent Data Engineering and Analytics, 2020

A Hybrid Model for Clinical Concept Normalization.

Chen Tang, Weile Chen, Chun Sun, Tao Wang, Pengfei Li, Jingchi Jiang, Yi Guan

Proceedings of the Intelligent Data Engineering and Analytics, 2020

2019

Extraction of risk factors for cardiovascular diseases from Chinese electronic medical records.

Jia Su, Jinpeng Hu, Jingchi Jiang, Jing Xie, Yang Yang, Bin He, Jinfeng Yang, Yi Guan

Comput. Methods Programs Biomed., 2019

2018

Max-margin weight learning for medical knowledge network.

Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, Qiubin Yu

Comput. Methods Programs Biomed., 2018

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo, Bin He

Artif. Intell. Medicine, 2018

2017

Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.

Jia Su, Bin He, Yi Guan, Jingchi Jiang, Jinfeng Yang

BMC Medical Informatics Decis. Mak., 2017

Learning and inference in knowledge-based probabilistic model for medical diagnosis.

Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, Qiubin Yu

Knowl. Based Syst., 2017

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Chao Zhao, Jingchi Jiang, Yi Guan

CoRR, 2017

De-identification of medical records using conditional random fields and long short-term memory networks.

Zhipeng Jiang, Chao Zhao, Bin He, Yi Guan, Jingchi Jiang

CoRR, 2017

Learning and inference in knowledge-based probabilistic model for medical diagnosis.

Jingchi Jiang, Chao Zhao, Yi Guan, Qiubin Yu

CoRR, 2017

A study of EMR-based medical knowledge network and its applications.

Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan

Comput. Methods Programs Biomed., 2017

2016

Developing a cardiovascular disease risk-factors annotated corpus of Chinese electronic medical records.

Jia Su, Bin He, Yi Guan, Jingchi Jiang, Jinfeng Yang

CoRR, 2016

2015

HIT-WI at TREC 2015 Clinical Decision Support Track.

Jingchi Jiang, Yi Guan, Jia Su, Chao Zhao, Jinfeng Yang

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Effective deployment of monitoring points on social networks.

Yuanyuan Bao, Wenting Huang, Chengqi Yi, Jingchi Jiang, Yibo Xue, Yingfei Dong

Proceedings of the International Conference on Computing, Networking and Communications, 2015

WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF.

Jingchi Jiang, Yi Guan, Chao Zhao

Proceedings of the Working Notes of CLEF 2015, 2015

Implementation of Chaotic Analysis on Retweet Time Series.

Yuanyuan Bao, Chengqi Yi, Jingchi Jiang, Yibo Xue, Yingfei Dong

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Cascading failures of social networks under attacks.

Chengqi Yi, Yuanyuan Bao, Jingchi Jiang, Yibo Xue, Yingfei Dong

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014