陈皓

陈皓，男，1978年5月出生，博士，教授，计算机科学与技术专业硕士生导师。2009年12月入职西安邮电大学，2017.6-2018.6美国新泽西理工学院（NJIT）国家留学基金委公派访问学者。主要从事智能计算、计算机视觉、医疗大数据等方面的研究工作，主持完成国家自然科学基金、陕西省重大研发计划、陕西省自然科学基金等各类项目十余项，参与国家科技部重点研发计划“数字诊疗装备研发”专项项目等各类重大项目多项。在《Complex & Intelligent Systems》、《Medical Physics》、《自动化学报》等国内外期刊以及IJCAI、AAPM等顶级国际会议发表研究论文五十余篇，申请国家发明专利十余项。担任国家自然科学基金通讯评审人，多个外省科技厅项目评审人以及《IEEE Transactions on Cybernetics》、《Medical Physics》、《计算机学报》等多个国内外高影响力期刊的审稿人。与交大一附院、二附院，美国UCLA医学院及NJIT大数据中心保持了常年的合作关系。

以下为近期开展中的三个主要研究方向及相关成果：

1. 针对MRI、CT及腔境等医学影像进行的病灶分割、图像分类和预测以及相关可解释性分析方法等研究；

2. 自动机器学习以及进化机器学习等智能计算方法的研究；

3. 通过计算机视觉进行的人体行为识别及相关应用研究；

[1] Hao Chen, Guoxin ZHANG, et al.. Using Dual Evolutionary Search to Construct Decision Tree based Ensemble Classifier [J], Complex & Intelligent Systems, 2022, Publishing.

[2] Hao CHEN, Xin LI, et al. Automatic Segmentation of Rectal Tumor On Magnetic Resonance Images Via A Deep Discriminative Model Consisting of U-Net and Conditional Random Field Based Post-Processing [C], American Association of Physicists Medicine (AAPM) COMP Meeting, 10th -14th July, 2022.

[3] Hao CHEN, Yang LIU, et al. A Subregion-Based Survival Prediction Based on Multi-Parametric MRIs for Glioblastoma [C], the Annual Meeting Scientific Program Committee of the American Society for Radiation Oncology (ASTRO), 23th -26th October, 2022.

[4] Hao CHEN, Duo BAN, X.Sharon Qi, et al. An Evolutionary Feature Selection-Based Brain Glioma Detection and Segmentation Approach in Magnetic Resonance Imaging [J]. Medical Physics, 2021, DOI: 10.1002/mp.15026.

[5] Hao CHEN, G. X. ZHANG, et al. Dual Evolutionary Ensemble Learning: An Automatic Ensemble Classifier Construction Method [C], the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021): the workshop on Data Science Meets Optimization, 19th -26th August, 2021.

[6] Hao Chen, Yu Xia, Qing Yang, et al. Time-Series Data Dynamic Density Clustering [J]，Intelligent Data Analysis，2021, 25(6): 1487-1506.

[7] Hao Chen, Yu Xia, et al. A CT Signs Quantization Analysis Method for Pulmonary Nodules Malignancy Grading [J], International Journal of Imaging Systems and Technology, 2021, 1-12. DOI: https://doi.org/10.1002/ima. 22605.

[8] Hao CHEN, Yang LIU, et al. Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest [C], American Association of Physicists Medicine (AAPM) COMP Meeting, 25th -29th July, 2021.

[9] Hao CHEN, Duo BAN, et al. What's Behind Auto-Segmentation Models: An Interpretability Analysis of Calculation Logic of Segmentation Model for Brain Tumor [C], American Association of Physicists Medicine (AAPM) COMP Meeting, 25th -29th July, 2021.

[10] 陈皓, 李广, 刘洋, 强永乾. 一种在MR图像中进行脑胶质瘤检测和病灶分割的方法[J]. 电子与信息学报, 2021, 43(4): 992-1002.

[11] 陈皓, 段红柏, 郭紫园, 强永乾. 基于CT征象量化分析的肺结节恶性度分级[J]. 电子与信息学报, 2021, 43(5): 1405-1413.

[12] Hao Chen, Z.Y. Guo, H. B. Duan, Zhi Wei, A Genetic Programming-Driven Data Fitting Method [J], IEEE Access, 2020, 8: 111448-111459.

[13] Hao CHEN, Guang LI, X.Sharon Qi, et al. A Hybrid Approach for Brain Tumor Detection and Segmentation via Multiparametric Magnetic Resonance Imaging [C], 2020 American Association of Physicists Medicine (AAPM) COMP Meeting, 12th -16th July, 2020.

我们的课题组已形成了有效的研究梯队并积累了丰富的资源，实验室具有良好的科研环境和实验平台。欢迎计算机、通讯、电子及自动化等专业学生报考，特别欢迎编程能力强、逻辑清晰、有较好数学与英语基础的同学。

联系方式Email: chenhao@xupt.edu.cn