数据挖掘与知识发现、机器学习、模式识别、自然语言处理、深度学习、医学人工智能、金融科技、智能交通系统
学士：清华大学
硕士：清华大学
博士：清华大学
美国Drexel University：访问学者
香港大学：访问学者
主持国家自然科学基金项目，“半监督学习思想在机器学习相关问题中的应用研究”
参与国家自然科学基金重点项目，“基于大数据的地方金融安全智能预警与防控系统”
参与国家自然科学基金重点项目，“基于大数据的政府治理综合示范应用”
主持广东省自然科学基金项目，“基于海量时空数据挖掘的区域交通状态分析方法研究 ”
主持广东省自然科学基金项目，“面向图拉普拉斯的特征选择方法及应用研究”
主持广东省自然科学基金项目，“基于非参数贝叶斯模型及概率图模型的隐特征模型及应用研究”
主持广东省自然科学基金项目，“基于医学指南及自步学习的可解释辅助疾病诊断与标签噪声发现方法研究"
主持广东省自然科学基金项目，“基于预训练模型及医学知识的电子病历质量评价方法研究"
参与广州市科技计划重点研发项目，“基于数据与知识深度融合学习的常见慢病及其并发症智能辅助诊疗应用系统研究”
参与广州市科技计划重点项目，“基于人工智能的多发性硬化早期诊治系统研发"
主持广东省交通运输厅科技计划项目，“广东交通管理及监控数据挖掘指标体系研究”
主持广东省交通运输厅科技计划项目，“基于高速公路收费数据的交通需求模式发现及预测研究”
主持横向合作项目，“广东省道路运输企业诚信评价系统”
主持横向合作项目，“广发-中大科技金融课题合作项目”
程序设计，概率统计，人工智能，数据库系统，数据挖掘，电路原理与模拟电子技术，计算机组成原理
[1] Chaotao Chen, Run Zhuo, Jiangtao Ren*: Gated recurrent neural network with sentimental relations for sentiment classification. Information Science. 502: 268-278 (2019) (中科院一区，CCF B)
[2] Liao Cheng, Feiyang Xie, Jiangtao Ren*: KB-QA based on multi-task learning and negative sample generation. Information Science. 574:349-362 (2021) (中科院一区，CCF B)
[3] Chaotao Chen, Jiangtao Ren*: Forum latent Dirichlet allocation for user interest discovery. Knowledge Based Systems. 126: 1-7 (2017) (中科院一区，CCF C)
[4] Jiangtao Ren*, Jiawei Long, Zhikang Xu: Financial news recommendation based on graph embeddings. Decision Support Systems. 125 (2019) (中科院二区，CCF C)
[5] Jiangtao Ren*, Kang Li, Chaotao Chen: Supervised Dirichlet Process Mixtures of Principal Component Analysis. Neurocomputing 305: 15-26 (2018) (中科院二区，CCF C)
[6] Ce Gao, Jiangtao Ren*: A topic-driven language model for learning to generate diverse sentences. Neurocomputing 333: 374-380 (2019) (中科院二区，CCF C)
[7] Zhaoning Li, Qi Li, Xiaotian Zou, Jiangtao Ren*: Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings. Neurocomputing 423:207-219 (2021) (中科院二区，CCF C)
[8] Qianlong Wang, Jiangtao Ren*: Summary-aware attention for social media short text abstractive summarization. Neurocomputing 425: 290-299 (2021) (中科院二区，CCF C)
[9] Jiawei Long, Zhaopeng Chen, Weibing He, Taiyu Wu, Jiangtao Ren*: An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market. Applied Soft Computing 91: 106205 (2020) (中科院二区，CCF C)
[10] Ziheng Chen, Chaojie Lai, JiangtaoRen*: Hospital readmission prediction based on long-term and short-term information fusion. Applied Soft Computing 96: 106690 (2020) (中科院二区，CCF C)
[11] Chengjie Mou, Jiangtao Ren*: Automated ICD-10 Code Assignment of Nonstandard Diagnoses via a Two-stage Framework. Artificial Intelligence In Medicine 108: 101939 (2020) (中科院二区，CCF C)
[12] Mingwang Yin, Chengjie Mou, Kaineng Xiong, Jiangtao Ren*: Chinese clinical named entity recognition with radical-level feature and self-attention mechanism. Journal of Biomedical Informatics 98 (2019) （中科院三区，CCF C）
[13] Zhaoning Li, Jiangtao Ren*: Fine-tuning ERNIE for Chest Abnormal Imaging Signs Extraction. Journal of Biomedical Informatics 108C (2020) 103492 （中科院三区，CCF C）
[14] Jiangtao Ren*, Naiyin Liu, Xiaojing Wu: Clinical questionnaire filling based on question answering framework. International Journal of Medical Informatics 141(2020) 104225 （中科院三区）
[15] Naiyin Liu, Qianlong Wang, Jiangtao Ren*: Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification. Neural Process. Lett. 53(1): 375-389 (2021) （中科院三区，CCF C）
[16] Ziheng Chen, Jiangtao Ren*: Multi-label text classification with latent word-wise label information. Appl. Intell. 51(2): 966-979 (2021) （中科院三区，CCF C）
[17] Qianlong Wang, Jiangtao Ren*: Label Correction Model for Aspect-based Sentiment Analysis. COLING 2020: 822-832 (CCF B)
[18] Qianlong Wang, Jiangtao Ren*: Sequence Prediction Model for Aspect-level Sentiment Classification. ECAI 2020:2196-2203 (CCF B)
[19] Yuwen Chen, Jiangtao Ren*: Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code. BIBM 2019: 348-353 （CCF B）
[20] Xinyuan Wang, Jiangtao Ren*: Semi-supervised learning for classification on Chinese drug treatment questions. BIBM 2019: 991-994 （CCF B）
[21] Kehui Li, Jiangtao Ren*: Min-hash sketch construction via nonparametric clustering. ICME 2014: 1-6 （CCF B）
[22] Yi Jiang, Jiangtao Ren*, Eigenvalue Sensitive Feature Selection, ICML 2011:89-96 (CCF A)
[23] Yi Jiang, Jiangtao Ren*: Eigenvector Sensitive Feature Selection for Spectral Clustering. ECML/PKDD (2) 2011: 114-129 (CCF B)
[24] Jiangtao Ren*, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, David Cheung，Naive Bayes Classification of Uncertain Data.ICDM 2009: 944-949 (CCF B)
[25] Jiangtao Ren*, Xiaoxiao Shi, Wei Fan and Philip S. Yu, Type Independent Correction of Sample Selection Bias via Structural Discovery and Re-sampling. SDM 2008: 565-576 (CCF B)