一、主要学术论文

[1] Luo C. S., Zhang K. X., Hu Y. T., Li X., Cao S. H., Jin Y., Ren P.*, Rao N.* Directional Statistics-Inspired End-to-End Atrial Fibrillation Detection Model Based on ECG Rhythm, Expert Systems with Applications, 2024, 247, 123112: 1-17.

[2] Ingabire H. N., Wu K. J., Amos J. T., He S. X., Peng X. H., Wang W. N., Li M., Chen J. Y., Feng Y. K., Rao N.*, Ren P.* Analysis of ECG Signals by Dynamic Mode Decomposition, IEEE Journal of Biomedical and Health Informatics, 2022, 26(5): 2124-2135.

[3] Zhao C. L., Zhao M., Yang Y., Gao J. F., Rao N.*, et al. The reorganization of human brain networks modulated by driving mental fatigue, IEEE Journal of Biomedical and Health Informatics, 2017, 21(3): 743-755.

[4] Yu X. L., Zhang C., Su L. F., Zhang J. B., Rao N.* Estimation of the cortico-cortical and brain-heart functional coupling with directed transfer function and corrected conditional entropy. Biomedical Signal Processing and Control, 2018, 43:110-116

[5] Zeng W., Rao N.*, et al. Genome-wide analyses on single disease samples for potential biomarkers and biological features of molecular subtypes: A case study in gastric cancer, International Journal of Biological Sciences, 2018, 14(8): 833–842.

[6] Yu C. L., Zhang M., Xiong Y. C., Wang Q. Z., Wang Y. H., Wu S. L., Hussain S., Wang Y., Zhang Z., Rao N.*, et al. Comparison of miRNA transcriptome of exosomes in three categories of somatic cells with derived iPSCs. Scientific Data, 2023,10:616.

[7] Zhang J. P., Liu L., Xu T. S., Zhang W., Li J. Y., Rao N.*, et al. Time to infer miRNA sponge modules, WIREs RNA, 2021, e1686: 1-21.

[8] Zhang J. P., Xu T. S., Liu L.,Zhang W.,Li S. J., Li J. R., Rao N.*, et al. LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. Plos Computational Biology, 2020, 16(4): e1007851.

[9] Liu D. Y., Gan T., Rao N.*, et al. Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process, Medical Image Analysis, 2016, 32: 281-294.

[10] Du W. J., Rao N.*, et al. Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet. Computer Methods and Programs in Biomedicine，2023，231, 107397：1-12.

[11] Du W. J., Rao N.*, et al. Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network. Biomedical Optics Express, 2021, 12(6): 3066-3081.

[12] Zhao-Yue Zhang, Yu-He Yang, Hui Ding, Dong Wang, Wei Chen, Hao Lin. Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz177.

[13] Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding, Wei Chen, Hao Lin. A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz123.

[14] Hao Lv, Zi-Mei Zhang, Shi-Hao Li, Jiu-Xin Tan, Wei Chen, Hao Lin. Evaluation of different computational methods on 5-methylcytosine sites identification. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz048.

[15] Zhao-Chun Xu, Peng-Mian Feng, Hui Yang, Wang-Ren Qiu, Wei Chen, Hao Lin. iRNAD: a computational tool for identifying D modification sites in RNA sequence. Bioinformatics, 2019, 35 (23): 4922-4929.

[16] Wei Chen, Hao Lv, Fulei Nie, Hao Lin. 2i6mA-Pred: Idefying DNA N6-methyladenine sites in the rice genome. Bioinformatics, 2019, 35(16): 2796–2800.

[17] Hong-Yan Lai&, Zhao-Yue Zhang&, Zhen-Dong Su, Wei Su, Hui Ding, Wei Chen, Hao Lin. iProEP: a computational predictor for predicting promoter. Molecular Therapy - Nucleic Acids, 2019, 17: 337-346.

[18] Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding, Wei Chen, Hao Lin. Identify origin of replication in Sccharomyces cerevisiae using two-step feature selection technique. Bioinformatics, 2019, 35(12):2075-2083.

[19] Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen*, Hua Tang, Hao Lin. iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinformatics, 2019, 35(9): 1469-1477.

[20] Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo-Chen Chou, Hao Lin. iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics, 2018, 34(24): 4196-4204.

[21] Peng Ren, Armando Barreto, Jian Huang, Ying Gao, Francisco R. Ortega, Malek Adjouadi. Off-line and On-line of Stress Detection Through Processing of the Pupil Diameter Signal. Annals of Biomedical Engineering, 2014, 42(1): 162- 176.

[22] Peng Ren, Armando Barreto, Ying Gao, and Malek Adjouadi. Affective Assessment by Digital Processing of the Pupil Diameter. IEEE Transactions on Affective Computing, 2013, 4(1): 2-14.

[23] Peng Ren, Armando Barreto, Ying Gao, and Malek Adjouadi. Digital Filtering of the Pupil Diameter Signal for Affective Assessment of a Computer User. Lecture Notes in Electrical Engineering, 2012, 151: 183-196.

[24] Jian Huang, Armando Barreto, Peng Ren and Malek Ajouadi. Personalised and Dynamic Image Precompensation for Computer Users with Ocular Aberrarions. Behavior & Information Technology, 2014, 33(9): 892-904.

[25] Ren, P., Barreto A., Gao,Y. and Adjouadi M. Comparison of the Use of Pupil Diameter and Galvanic Skin Response Signals for Affective Assessment of Computer Users. Biomedical Sciences Instrumentation, 2012, 48: 345-350.

[26] Peng Ren, Weihua Zhao, Zhiying Zhao, Maria L. Bringas-Vega, Pedro A. Valdes-Sosa, and Keith M. Kendrick, Analysis of Gait Rhythm Fluctuations for Neurodegenerative Diseases by Phase Synchronization and Conditional Entropy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(2): 291-299.

[27] Peng Ren et al., Assessment of Balance Control Subsystems by Artificial Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering，2020, 28(3): 658-668.

[28] Peng Ren et al., Multivariate Analysis of Joint Motion Data by Kinect: Application to Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(1): 181-190.

[29] Peng Ren et al., Movement Symmetry Assessment by Bilateral Motion Data Fusion, IEEE Transactions on Biomedical Engineering, 2019, 66(1): 225-236.

[30] Peng Ren et al., Comparison of the Use of Blink Rate and Blink Rate Variability for Mental State Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(5): 867-875.

[31] Peng Ren et al., Gait Influence Diagrams in Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(8): 1257-1267.

[32] Peng Ren et al., Gait Rhythm Fluctuation Analysis for Neurodegenerative Diseases by Empirical Mode Decomposition, IEEE Transactions on Biomedical Engineering, 2017, 64(1).

[33] Peng Ren et al., Analysis of Gait Rhythm Fluctuation for Neurodegenerative Diseases by Phase Synchronization and Conditional Entropy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(2).

[34]Rong Li，Chijun Deng，Xuyang Wang，Ting Zou，Bharat Biswal，Danni Guo，Bo Xiao，Xiaonan Zhang，Jing Liang Cheng，Ding Liu，Mi Yang，Huafu Chen*，Qian Wu*, Li Feng*. Interictal dynamic network transitions in mesial temporal lobe epilepsy. Epilepsia, 2022, in press, DOI: 10.1111/epi.17325

[35] Rong Li, Jiale Yang, Liyuan Li, Fei Shen, Ting Zou, Hongyu Wang, Xuyang Wang1, Jiyi Li, Chijun Deng, Xinju Huang, Chong Wang, Zongling He, Fengmei Lu, Ling Zeng and Huafu Chen*. Integrating multilevel functional characteristics reveals aberrant neural patterns during audiovisual emotional processing in depression, Cerebral Cortex, 2022，32(1):1-14

[36] Rong Li, Jun Hwan Ryu, Peter Vincent, Max Springer, Dan Kluger, Erik A. Levinsohn, Yu Chen, Huafu Chen, Hal Blumenfeld*, The pulse: transient fMRI signal increases in subcortical arousal systems during transitions in attention. NeuroImage, 2021, 232:117873

[37] Rong Li, Hongyu Wang, Liangcheng Wang, Leiyao Zhang, Ting Zou, Xuyang Wang, Wei Liao, Zhiqiang Zhang*, Guangming Lu*, Huafu Chen*. Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy. Human Brain Mapping, 2021, 42(2):412-426

[38] Rong Li#, Ting Zou#, Xuyang Wang, Hongyu Wang, Xiaofei Hu, Fangfang Xie, Li Meng*, and Huafu Chen*. Basal ganglia atrophy associated causal structural network degeneration in Parkinson’s disease. Human Brain Mapping, 2021,43(3):1145-1156

[39] Rong Li, Leiyao Zhang, Danni Guo, Ting Zou, Xuyang Wang, Hongyu Wang, Jiyi Li1, Chong Wang, Dingyang Liu, Zhiquan Yang, Bo Xiao, Huafu Chen* and Li Feng*. Temporal lobe epilepsy shows distinct functional connectivity patterns in different thalamic nuclei. Brain Connectivity, 2021,11(2):119-131

[40] Rong Li#, Chongyu Hu#, Liangcheng Wang, Ding Liu, Dingyang Liu, Wei Liao, Bo Xiao, Huafu Chen*, Li Feng*. Disruption of functional connectivity among subcortical arousal system and cortical networks in temporal lobe epilepsy. Brain Imaging and Behavior, 2020,14(3): 762-771

[41] You, H., Zhang, M., & Wang, D. H. (2020). Neural mechanism underlying risk attitude and probability distortion: One two-stage model of valuation and choice. Neurocomputing, 375, 32-42.

[42] Standage, D., You, H., Wang, D., & Dorris, M. C. (2013). Trading Speed and Accuracy by Coding Time : A Coupled- circuit Cortical Model. PLoS Computational Biology, 9(4).

[43] Yun Li, Tingting Zhang, Wenjuan Li; Junjun Zhang, Zhenlan Jin, Ling Li*, Linking Brain Structure and Activation in Anterior Insula Cortex to Explain the Trait Empathy for Pain, Human Brain Mapping, 2020, 41(4): 1030-1042.

[44] Min Wang, Banglei Yu, Cimei Luo, Noa Fogelson, Junjun Zhang, Zhenlan Jin, Ling Li*, Evaluating the causal contribution of frontoparietal cortices to the control of the bottom-up and top-down visual attention using fMRI-guided TMS, Cortex, 2020, 126: 200-212.

[45] Ke Xie, Zhenlan Jin*, Xuejin Ni, Junjun Zhang, Ling Li*, Distinct neural substrates underlying target facilitation and distractor suppression: A combined voxel-based morphometry and resting-state functional connectivity study, NeuroImage, 2020, 221(117149): 1-11.

二、发明专利

[1] 刘丁赟, 饶妮妮, 刘汉明, 等. 从高维非对称数据中提取分类信息的方法[P]. 中国四川, 发明专利，ZL201510251168.4, 2019年4月23日授权

[2] 饶妮妮, 李全池, 等. 一种心电信号QRS波起止点定位方法. 中国发明专利，申请号：CN201910793288.5，2019年08月26日

[3] 张俊鹏，饶妮妮. 一种ncRNA协同竞争网络识别方法和装置. 中国发明专利，申请号：CN201911229601.9，2019年12月04日

[4] 张俊鹏，饶妮妮. 一种miRNA海绵互作对的识别方法. 中国发明专利，申请号：CN201911064153.1，2019年11月01日

三、主要科研项目

1、国家自然科学基金重点国际(地区)合作研究项目1项

2、国家自然科学基金面上项目16项

3、省部级项目16项

4、企事业合作项目8项

四、专著与教材

[1] 饶妮妮编，常心电图特征波定位与常见心律失常检测方法，电子科技大学出版社，2019

[2] 林昊、王栋、郭锋彪主编，简明生物信息学，电子科技大学出版社，2014

[3] 饶妮妮，李凌主编，生物医学信号处理，电子科技大学出版社，2005

[4] 刘光祜，饶妮妮编，模拟电路基础，电子科技大学出版社，2001

[5] 杨绍城，饶妮妮，师奕兵编，计算机在电路设计中的应用，电子科技大学出版社，1995

五、主要教学获奖

1、四川省第八届高等教育教学成果奖：构建以国际国内竞赛为核心的梯级人才成长平台，培养生命与信息交叉创新能力，2018

2、电子科技大学第八届教学成果二等奖：培养掌握前沿信息技术的生物创新型科研人才，2016

3、国家精品资源共享课程：生物医学信号处理课程（本科），2013

4、四川省第五届高等教育教学成果奖：生物医学工程专业的教学建设与改革，2005

5、四川省第四届高等教育教学成果奖：模拟电路课程现代化建设与改革，2001

6、四川省优秀教学团队：生物医学工程专业核心课程教学团队

六、主要教改项目

七、主要教改论文

[1] 饶妮妮，任鹏等. 类脑智能高层次人才培养模式改革与实践. 创新教育研究, 2025, 13(3), 345-355.

[2] Nini Rao, et al. Teaching Strategies for graduates with Different Specialty Background in Biomedical Signal Processing Course. Advances in Social Science, Education and Humanities Research, 2015, 303-306.

[3] 王先龙，林昊，丁辉，黄健，Mathematica应用于生物医学统计互动教学，实验技术与管理，2014，31（8）：126-131.

[4] Nini Rao, et al. Exploring Suitable Examination Pattern for Courses of Biomedical Engineering Subject. 2011 IEEE International Symposium on IT in Medicine & Education (ITME 2011), 411-413.

[5] 饶妮妮, 杜晓川, 欧凤. 生物医学信号处理课程研究性教学的探索与实践. 高教论坛. 2011, 8：78-80.

[6] 饶妮妮等. 浅析多媒体课件与课堂教学质量的关系. 电子科技大学学报，2005年增刊.

[7] 饶妮妮等. 建设生物医学工程专业综合实验系统,加强学生工程能力培养和训练. 中国电子高等教育国际化，机械工业出版社出版，2004年10月，146 -148.

[8] 饶妮妮等. 加大“生物医学工程课程专业课程考试模式改革力度， 提高复合型人才培养质量. 中国电子学会教育分会年会论文集，高等教育出版社,2003年9月.

八、指导学生竞赛获奖 （代表性成果）

1、 饶妮妮作为主教练指导学生获得第五届全国大学生生物医学工程创新设计竞赛一等奖，2019。

2、饶妮妮作为主教练指导学生获得第六届全国大学生生物医学工程创新设计竞赛一等奖，2021。

3、 饶妮妮作为主教练指导学生获得首届中国心电智能大赛三等奖，2019。