潘乔（Pan Qiao）

男 副教授 计算机应用系，硕士生导师，中国计算机学会会员，上海计算机学会会员

分别于2000、2004、2008年毕业于西安电子科技大学，获得信息与通信系统专业本科、硕士和博士学位。2008年到东华大学计算机学院任教至今。主要从事数据挖掘、机器学习、人工智能以及网络大数据分析等教学与科研工作，并取得了一些阶段性的成果。以一作或通信作者身份发表了50余篇SCI、EI检索高质量论文，并获得国家发明专利授权6项，曾担任多个期刊会议的审稿人。近年来，在指导的研究生中，有多名同学通过科研工作获得国家奖学金、优秀论文奖励。担任中国计算机学会、上海市计算机学会、上海计算机开放系统协会等委员。

主要研究方向：

•机器学习

•人工智能

•大数据与云计算（社交网络、数据通信网络、商务智能等应用中大规模数据的分析）

讲授课程：

•数据挖掘（研究生课程）

•计算机网络

近期主持/参与的科研项目：

1.上海市智慧城市专项 《基于瑞金医院的临床大数据平台建设及深度应用》

2.上海市科技创新行动计划 《多中心多病种临床大数据分析处理研究》

3.上海市科技发展基金项目 《数据自治开放应用技术研究》

4.上海市人工智能创新发展专项 《面向专病的智能临床辅助决策产品研发与产业化》

5.国家重点研发计划项目 《基于张量的阿尔茨海默症多模态数据融合与因果推理及可解释辅助诊断》

近几年的代表性论著（第一作者）：

1. Qiao Pan, Yan Liu, Qian Li, and Mei Wang. Predicting Alzheimer’s Disease Progression usingTime-Decay LSTM Network with Multi-Condition Variational Autoencoder. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024.

2. Qiao Pan, Feifan Zhao, Xiaoling Chen, Dehua Chen, A method for extracting tumor events from clinical CT examination reports, Journal of Biomedical Informatics, Volume 142, 2023,104371,

3. Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao.Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning.The 34th International Conference on Software Engineering and Knowledge Engineering, SEKE, KSIR Virtual Conference Center, USA,2022

4. Qiao Pan, Ke Ding, Dehua Chen，Multi Classification prediction of Alzheimers disease based on fusing multi-modal features.21st IEEE International Conference on Data Mining, ICDM2021, Auckland, New Zealand，2021

5. Qiao Pan; Golddy Indra Kumara; Jiahuan Chu; Multi Classification of Alzheimer’s Disease using Linear Fusion with TOP-MRI Images and Clinical Indicators, The 32nd International Conference on Software Engineering & Knowledge Engineering(SEKE 2020), Pittsburgh, USA, 2020.  

6. Qiao Pan, ShiYu Wang, Dehua Chen, Prediction of Alzheimer's Disease Based on Bidirectional LSTM, Journal of Physics: Conference Series, v 1187, n 5, May 8, 2019, 2018 International Symposium on Power Electronics and Control Engineering(ISPECE),Guangzhou, China, 2019  

7. Qiao Pan, Chunru Yu, Dehua Chen, Lan Xiang. “Joint Extraction of Entities and Relations of Breast Ultrasound Report Based on Deep Learning” ,The 20th IEEE International Conference on High Performance Computing and Communications (HPCC), Guangzhou, China, 2018  .     

8. Qiao Pan, Li Hang, Dehua Chen and Kaiqi Sun, “Sentiment Analysis of Medical Comments Based on Character Vector Convolutional Neural Networks”, The 22th IEEE Symposium on Computers and Communications (IEEE ISCC) , Natal, Brazil, June 25-28, 2018  

主要社会任职：

上海计算机开放系统协会理事、副秘书长

国际交流与合作：

访问学者, 美国 佛罗里达大学 计算机科学与技术学院, 2014年9月-2015年9月.

联系方式：

•电话（Tel）：67792291

•邮箱（e-mail）：panqiao@dhu.edu.cn

•办公室（office）：1号学院楼245室

Qiao Pan

Male, Donghua University, School of Computer Science and Technology, Associate Professor

Received a doctor's degree from Xidian University in 2008. Research fellow in UF in 2015.

Research Areas: AI and deep learning, Machine Learning, Data Mining

Main Courses Taught: Data Mining, Computer Network

Publications:

1. Qiao Pan, Yan Liu, Qian Li, and Mei Wang. Predicting Alzheimer’s Disease Progression usingTime-Decay LSTM Network with Multi-Condition Variational Autoencoder. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024.

2. Qiao Pan, Feifan Zhao, Xiaoling Chen, Dehua Chen, A method for extracting tumor events from clinical CT examination reports, Journal of Biomedical Informatics, Volume 142, 2023,104371,

3. Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao.Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning.The 34th International Conference on Software Engineering and Knowledge Engineering, SEKE, KSIR Virtual Conference Center, USA,2022

4. Qiao Pan, Ke Ding, Dehua Chen，Multi Classification prediction of Alzheimers disease based on fusing multi-modal features.21st IEEE International Conference on Data Mining, ICDM2021, Auckland, New Zealand，2021

5. Qiao Pan; Golddy Indra Kumara; Jiahuan Chu; Multi Classification of Alzheimer’s Disease using Linear Fusion with TOP-MRI Images and Clinical Indicators, The 32nd International Conference on Software Engineering & Knowledge Engineering(SEKE 2020), Pittsburgh, USA, 2020.  

6. Qiao Pan, ShiYu Wang, Dehua Chen, Prediction of Alzheimer's Disease Based on Bidirectional LSTM, Journal of Physics: Conference Series, v 1187, n 5, May 8, 2019, 2018 International Symposium on Power Electronics and Control Engineering(ISPECE),Guangzhou, China, 2019  

7. Qiao Pan, Chunru Yu, Dehua Chen, Lan Xiang. “Joint Extraction of Entities and Relations of Breast Ultrasound Report Based on Deep Learning” ,The 20th IEEE International Conference on High Performance Computing and Communications（HPCC）, Guangzhou, China, 2018  .     

8. Qiao Pan, Li Hang, Dehua Chen and Kaiqi Sun, “Sentiment Analysis of Medical Comments Based on Character Vector Convolutional Neural Networks”, The 22th IEEE Symposium on Computers and Communications (IEEE ISCC) , Natal, Brazil, June 25-28, 2018  

Main Research Projects:

1. National Key R&D Program Project, Causal Reasoning Enhanced Tumor AI Diagnosis and Treatment Model and Interpretability Research, 2020.1-2022.12 (under research)

2. Shanghai Big Data Special Project, Diabetes Aided Diagnosis and Deep Application Demonstration Based on Big Data of Ruijin Hospital, 2018/7-2020/6

3.Shanghai Municipal Economic and Information Commission special project for the development of artificial intelligence, R&D and industrialization of intelligent clinical auxiliary decision-making products for specialized diseases, 2018/1-2019/12

4. Shanghai Municipal Science and Technology Commission Science and Technology Action Plan Project, Text structuring and image correlation of medical image reports based on artificial intelligence, 2018/1 to 2019/12

5. Shanghai Municipal Commission of Information Technology Development Special Project, High Performance Distributed Data Processing Technology for Heterogeneous Architecture, 2018/7-2020/6

6. Shanghai Science and Technology Development Fund Project "Research on Data Autonomy Open Application Technology" (Approval No. 16JC1400802) 2016.7-2019.7

7. Shanghai Information Development Special Project, Big Data Security Reinforcement, 2016/7 to 2018/7

8. Shanghai Science and Technology Innovation Action Plan, Research on Multi-Center Multi-Path Clinical Big Data Analysis and Processing (Approval No. 15511106900) 2015.7-2017.7.