Associate Professor, Master Advisor

College of Software Engineering
Chengdu University of Information Technology (CUIT)

Director

Institute for Data Science and Engineering

E-Mail: yaqwang (at) cuit.edu.cn

About

Yaqiang was a Visiting Professor of Tsinghua University and worked with Youyou Lu and Jiwu Shu from Sep. 2019 to Aug. 2020. He received his PhD degree in 2013 from College of Computer Science, Sichuan University and worked with Zhonghua Yu and Yiguang Liu. His MS and BS degree were obtained from Sichuan University in 2010 and CUIT in 2007, respectively. Now his research focuses on deep learning, data management and information extraction from informal text and tabular data, such as clinical records, perioperative tabular data, etc.

Selected Publications
  • Utilizing Intraoperative Respiratory Dynamic Features for Developing and Validating an Explainable Machine Learning Model for Postoperative Pulmonary Complications
    Peiyi Li, Shuanliang Gao, Yaqiang Wang, Ruihao Zhou, Guo Chen, Xuechao Hao, Weimin Li, Tao Zhu, Cheng Zhou
    British Journal of Anaesthesia 2024 (To Appear)
    (SCI Indexed, Impact Factor: 9.8)
  • MCICT: Graph Convolutional Network-based End-to-End Model for Multi-Label Classification of Imbalanced Clinical Text
    Yao He, Qingyu Xiong, Cai Ke, Yaqiang Wang, Zhengyi Yang, Hualing Yi, Qilin Fan
    Biomedical Signal Processing and Control 2024; 91:105873
    (SCI Indexed, Impact Factor: 5.1)
  • Four Diagnostic Description Extraction in Clinical Records of Traditional Chinese Medicine with Batch Data Oversampling (In Chinese)
    Yaqiang Wang, Kailun Li, Yongguang Jiang, Hongping Shu
    Journal of Chinese Information Processing 2024; 38(2):122-132
    (CCF T1 Chinese Journal, Journal Version of Our CCL 2022)
  • An Unstructured Data Representation Enhanced Method for Postoperative Risk Prediction (In Chinese)
    Yaqiang Wang, Xiao Yang, Xuechao Hao, Hongping Shu, Guo Chen, Tao Zhu
    Journal of Chinese Information Processing 2024; 38(1):156-165
    (CCF T1 Chinese Journal, Journal Version of Our CCL 2022)
  • On Corpus Construction and Joint Modeling Method for Clinical Pulse Feeling and Palpation Information Extraction and Lexical Analysis of Traditional Chinese Medicine (In Chinese)
    Yaqiang Wang, Wen Jiang, Yongguang Jiang, Hongping Shu
    In Proceedings of the 22st Chinese National Conference on Computational Linguistics (CCL 2023), pages:352-363
    (EI Indexed, Chinese Top Tier Conference)
  • Impact of the COVID-19 Pandemic on Cancer Healthcare Utilization in Southwestern China on March 2021
    Peiyi Li, Yajuan Zhu, Yaqiang Wang, Xiaoyu Liu, Xiang Fang, Yuanxin Hou, Rujun Zheng, Junying Li, Bo Zhang, Zhuo Chen, Chengdi Wang, Tao Zhu, Weimin Li, Xuesong Han
    Cancer Medicine 2023; 12:13821-13833
    (SCI Indexed, Impact Factor: 4.0)
  • A Curriculum Batching Strategy for Automatic ICD Coding with Deep Multi-Label Classification Models
    Yaqiang Wang♣, Xu Han, Xuechao Hao, Tao Zhu, Hongping Shu
    Healthcare 2022; 10(12):2397
    ♣ denotes corresponding author
    (SCI Indexed, Impact Factor: 3.16)
  • An Unstructured Data Representation Enhanced Model for Postoperative Risk Prediction (In Chinese)
    Yaqiang Wang♣, Xiao Yang, Xuechao Hao, Hongping Shu, Guo Chen♣, Tao Zhu♣
    In Proceedings of the 21st Chinese National Conference on Computational Linguistics (CCL 2022), pages:580-590
    ♣ denotes corresponding author
    (EI Indexed, Chinese Top Tier Conference)
  • Four Diagnostic Description Extraction in Clinical Records of Traditional Chinese Medicine with Batch Data Oversampling (In Chinese)
    Yaqiang Wang♣, Kailun Li, Yongguang Jiang, Hongping Shu
    In Proceedings of the 21st Chinese National Conference on Computational Linguistics (CCL 2022), pages:611-622
    ♣ denotes corresponding author
    (EI Indexed, Chinese Top Tier Conference)
  • A Multicenter Prospective Study on Postoperative Pulmonary Complications Prediction in Geriatric Patients with Deep Neural Network Model
    Xiran Peng, Tao Zhu, Guo Chen, Yaqiang Wang, Xuechao Hao
    Frontiers in Surgery 2022; 9:976536
    (SCI Indexed, Impact Factor: 2.568)
  • Information Extraction from the Text Data on Traditional Chinese Medicine: A Review on Tasks, Challenges, and Methods from 2010 to 2021
    Tingting Zhang, Zonghai Huang, Yaqiang Wang♣, Chuanbiao Wen, Yangzhi Peng, Ying Ye♣
    Evidence-Based Complementary and Alternative Medicine 2022
    ♣ denotes corresponding author
    (SCI Indexed, Impact Factor: 2.65)
  • Label Embedding Enhanced Multi-Label Sequence Generation Model
    Yaqiang Wang♠♣, Feifei Yan♠, Xiaofeng Wang, Wang Tang, Hongping Shu♣
    In Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020), pages:219–230
    ♠ denotes co-first author and ♣ denotes corresponding author
    (EI Indexed, CCF C)
  • Constructing Fine-Grained Entity Recognition Corpora Based on Clinical Records of Traditional Chinese Medicine
    Tingting Zhang♠, Yaqiang Wang♠♣, Xiaofeng Wang, Yafei Yang, Ying Ye♣
    BMC Medical Informatics and Decision Making 2020; 20:64
    ♠ denotes co-first author and ♣ denotes corresponding author
    (SCI Indexed, Impact Factor: 3.298)
  • On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data
    Yaqiang Wang, Yunhui Chen, Hongping Shu, Yongguang Jiang
    In Proceedings of the 2018 Workshop on Biomedical Natural Language Processing, pages:177-182
  • Supervised Methods for Symptom Name Recognition in Free-Text Clinical Records of Traditional Chinese Medicine: An Empirical Study
    Yaqiang Wang, Zhonghua Yu, Li Chen, Yunhui Chen, Yiguang Liu, Xiaoguang Hu, Yongguang Jiang
    Journal of Biomedical Informatics 2014; 47:91-104
    (SCI Indexed, Impact Factor: 8.0, CCF C, Tsinghua University B)
  • A Preliminary Work on Symptom Name Recognition from Free-Text Clinical Records of Traditional Chinese Medicine using Conditional Random Fields and Reasonable Features
    Yaqiang Wang, Yiguang Liu, Zhonghua Yu, Li Chen, Yongguang Jiang
    In Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, pages:223-230
  • A Framework and Its Empirical Study of Automatic Diagnosis of Traditional Chinese Medicine Utilizing Raw Free-Text Clinical Records
    Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Yongchao Liu, Li Chen, Yiguang Liu
    Journal of Biomedical Informatics 2012; 45(2):210-223
    (SCI Indexed, Impact Factor: 8.0, CCF C, Tsinghua University B)
  • Automatic Symptom Name Normalization in Clinical Records of Traditional Chinese Medicine
    Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo Xu, Xia Chen
    BMC Bioinformatics 2010; 11(1):40
    (SCI Indexed, Impact Factor: 3.307, CCF C, Tsinghua University B)
  • Patents
  • A Multi-Type Feature Fusion Method and System for Predicting Postoperative Pulmonary Complications
    Xuechao Hao, Yaqiang Wang, Shaofeng Wu, Honging Shu, Tao Zhu, Guo Chen
    State Intellectual Property Office of China, Feb 9, 2024
  • An Deep Neural Network Model for Information Extraction
    Yaqiang Wang, Kailun Li, Dan Tang, Hongping Shu
    State Intellectual Property Office of China, Sept 1, 2023
  • A Semi-Markov-Based Symptom Name Recognition and Normalization Joint Model of Taditional Chinese Medicine
    Yaqiang Wang, Xinyu Zhang, Hongping Shu, Dan Tang
    State Intellectual Property Office of China, May 23, 2023
  • An Automatic Article Title Generation Method
    Yaqiang Wang, Yin Liu, Hongping Shu
    State Intellectual Property Office of China, May 3, 2022
  • A Natural Language Data Enhanced Postoperative Risk Prediction Model
    Xuechao Hao♣, Yaqiang Wang, Xiao Yang, Hongping Shu, Tao Zhu
    State Intellectual Property Office of China, Apr 26, 2022
  • A Curriculum Learning Based Training Method for Multi-Label ICD Classification Models
    Yaqiang Wang, Xu Han, Xuechao Hao, Hongping Shu, Tao Zhu
    State Intellectual Property Office of China, Mar 28, 2022
  • Building Method and Application System of Clinical Syndrome Differentiation Model of Traditional Chinese Medicine
    Yaqiang Wang, Han Jin, Hongping Shu, Liang Cao
    State Intellectual Property Office of China, Jun 4, 2021
  • A Method for Chinese Summaried Text Segmentation based on Partially Supervised Learning
    Yaqiang Wang, Siyou He, Dan Tang, Hongping Shu
    State Intellectual Property Office of China, May 19, 2020
  • A Method for Bayesian Statistical Learning based Sentence Segmentation in Traditional Chinese Medicine
    Yaqiang Wang, Yin Liu, Dan Tang, Hongping Shu
    State Intellectual Property Office of China, May 19, 2020
  • A Method for Distant Supervision of Fine-Grained Syndrome Name Segmentation in Traditional Chinese Medicine
    Yaqiang Wang, Feifei Yan, Xiaofeng Wang, Hongping Shu, Dan Tang
    State Intellectual Property Office of China, Feb 21, 2020
  • A Method for Building a General String Similarity Measurement Framework
    Yaqiang Wang, Feifei Yan, Xiaofeng Wang, Hongping Shu, Dan Tang
    State Intellectual Property Office of China, Dec 27, 2019
  • Professional Activities
  • Member, Member Representative of ACL (Association for Computational Linguistics)
  • Member of CCF (China Computer Federation)
  • Committee Member of Electronic Information Expert Committee of Sichuan Science and Technology Collaborative Innovation Promotion Association
  • Program Committee of NLPCC 2021, 2022 and 2023
  • Proposal Reviewer of NSFC
  • Recognized Reviewer of Journal of Biomedical Informatics (SCI Indexed, IF: 8.0)
  • Reviewer of ACL 2024
  • Reviewer of NAACL 2024
  • Reviewer of AMIA 2021
  • Reviewer of AMIA 2020 and 2021 Informatics Summit
  • Reviewer of Journal of Cheminformatics (SCI Indexed, IF: 8.489)
  • Reviewer of ACM Transactions on Asian and Low-Resource Language Information Processing (SCI Indexed, IF: 1.471)
  • Reviewer of Journal of Computer Science and Technology (SCI Indexed, IF: 1.871)
  • Reviewer of Journal of Biomedical Semantics (SCI Indexed, IF: 1.675)
  • Reviewer of Applied Clinical Informatics (SCI Indexed, IF: 2.762)
  • Reviewer of BMC Complementary and Alternative Medicine (SCI Indexed, IF: 4.782)
  • Reviewer of Patterns (Cell Press)
  • Reviewer of Biomedical Engineering and Computational Biology
  • Reviewer of Workshop on Information Technology for Chinese Medicine at BIBM 2012 and 2013
  • Projects
  • Research on Data Cleaning Process Model and Algorithm for Perioperative Risk Identification and Prediction in Elderly Patients
       Supported by West China Hospital, Sichuan University (2023.10 – 2024.10, PI)
  • Research on Design and Development of Intelligent Syndrome Differentiation Model of Tibetan Medicine
       Supported by The Major Science and Technology Research Project of Sichuan Province Administration of Traditional Chinese Medicine (2023.04 – 2025.03, PI)
  • Research on Data-Driven Real-Time Prediction Models for Perioperative Risk Intelligence
       Supported by The 1·3·5 PProject for Multi-Disciplines of Excellence, West China Hospital, Sichuan University (2023.04 – 2024.04, PI)
  • Research on Data Governance for Early Warning of Perioperative Risk Assessment
       Supported by The 1·3·5 PProject for Multi-Disciplines of Excellence, West China Hospital, Sichuan University (2023.04 – 2024.04, PI)
  • Research on Distributed Development Framework for Semantic Collaboration in Multi-Scenario Domain
       Supported by The National Key Research and Development Plan (2022.11 – 2025.10, PI)
  • Research on Dependency Semantic Analysis of Clinical Records of Taditional Chinese Medicine
       Supported by The Innovation Ability Promotion Program for Youth Innovators of Chengdu University of Information Science and Technology (2022.01 – 2023.12, PI)
  • Research on Ontology-based Diseases' Historical Evolution Model of Traditional Chinese Medicine
       Supported by The Young Scientists Fund of NSFC (2019.01 – 2021.12, Co-PI)
  • Research on Key Techniques of SOA-based Domain Big Data Analysis Development Platform
       Supported by Science and Technology Department of Sichuan Province (2016.04 – 2019.04, PI)
  • Research on Fine-Grained Medical Entity Recognition from Clinical Records of Traditional Chinese Medicine based on Weakly Supervised Learning
       Supported by The Young Scientists Fund of NSFC (2016.01 – 2018.12, PI)
  • Research on High Fault Tolerance Arrays Error Correction Erasure Code Models
       Supported by The Young Scientists Fund of NSFC (2016.01 – 2018.12, Project Member)
  • Research on Industry-Orieneted Large-Scale Open Chinese Entity Relation Extraction Methods
       Supported by The Education Department of Sichuan Province (2015.01 – 2016.12, PI)
  • Before December, 2013
  • Research on Information Extraction in Free-Text Clinical Records of Traditional Chinese Medicine and an Implementation of a Prototype System for Automatic Clinical Diagnosis
       Supported by Science and Technology Department of Sichuan Province (2012.01 – 2013.12, PI)
  • Research on Comprehensive Evaluation System of Electronic Health Records based on DeLone & McLean schema
       Supported by NSFC (2012.01 – 2015.12, Project Member)
  • Research on Low-Rank Decomposition of L1 Norm Matrix based on Dynamic System and Its Applications
       Supported by NSFC (2012.01 – 2015.12, Project Member)
  • Honors & Awards
  • First Prize of Science and Technology Progress Awared of Sichuan Province, The People's Government of Sichuan Province, 2019
  • Third Prize of Wu Wen Jun Artificial Intelligence Science and Technology Award, The Chinese Association for Artificial Intelligence, 2019
  • First Prize of Industry and University Collaboration Research Innovation Award of China, The China Industry-University-Research Institute Collaboration Association, 2018
  • Second Prize of Science and Technology Progress Awared of Sichuan Province, The People's Government of Sichuan Province, 2018
  • Outstanding Reviewer, Journal of Biomedical Informatics, 2017
  • Recognized Reviewer, Journal of Biomedical Informatics, 2016
  • Second Prize of Big Data Application and Design Competition, Chengdu "Science and Technology Innovation Cup", 2015
  • Outstanding Reviewer, Journal of Biomedical Informatics, 2014
  • Before December, 2013
  • PhD National Scholarship, 2013 (Top 5)
  • Outstanding PhD Student, 2012
  • International Scholarly Exchange Scholarship, Sichuan University, 2012
  • "Outstanding PhD Training Programme" Awards, College of Computer Science, Sichuan University, 2012 (Top 1)
  • PhD First Class Scholarship, Sichuan University, 2011 (Top 1)
  • Guanghua Scholarship, 2011
  • Chuan-Da-Zhi-Sheng Scholarship, 2010
  • PhD First Class Scholarship, Sichuan University, 2010 (Top 1)
  • Outstanding Research Honor, Sichuan University, 2010
  • Outstanding Graduates, Sichuan University, 2010
  • Outstanding Master Student, Sichuan University, 2009
  • M.S. First Class Scholarship, Sichuan University, 2009 (Rank: 5)
  • Outstanding Master Student, Sichuan University, 2008
  • M.S. Second Class Scholarship, Sichuan University, 2007
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