周腾

简介

周腾博士，现任汕头大学工学院计算机系讲师，硕士生导师，主要研究方向为智能交通系统及免疫性疾病诊断，近三年主持包括国家自然科学基金青年科学基金、广东省自然科学基金面上项目、广东省教育科学“十三五”规划项目等多个国家级省级项目，累计经费167万元，发表学术论文近50篇，谷歌学术统计引用量400余次，h-index为11，其中热点文章1篇，高被引文章1篇，近3年单篇最高被引70次；担任国家自然科学基金函评专家，广东省自然科学基金函评专家，新工科教育专业指导委员会委员，以及多个国际著名期刊编委和审稿人。
研究方向
ü智能交通系统
ü医学信息处理
ü机器学习
教育经历
ü2012/09-2017/10，华南理工大学，计算机科学与工程学院，博士研究生，导师：韩国强教授
ü2010/09-2012/07，中山大学，信息科学与技术学院，硕士研究生，导师：孙玉院士
ü2006/09-2010/07，华南师范大学，数学科学学院，本科
工作经历
ü2017/11至今，汕头大学，计算机系，讲师
科研项目
ü国家自然科学基金青年科学基金，面向城市道路环境时空上下文感知的交通流预测研究，No. **，24万，主持
ü广东省自然科学基金，基于深度学习多模型集成的交通流量预测算法研究与应用，10万，No. 2018A，主持
ü广东省教育科研“十三五”规划课题，以成果为导向翻转测验驱动的教学模式研究——以计算机网络为例，No. 2018GXJK048，3万，主持
ü李嘉诚基金会交叉研究项目，面向有限训练样本磁共振早期诊断阿尔茨海默病的噪声免疫学习框架，No. 2020LKSFG05D, 100万，主持
ü国家自然科学基金重点国际(地区)合作与交流项目，基于磁共振分子影像探索阿尔茨海默病脑代谢和类淋巴系统异常（吴仁华），No. ，249万，第四参与人
科研论文
üHuakang Lu, Zuhao Ge, Youyi Song, Dazhi Jiang,Teng Zhou*, Jing Qin. A Temporal-aware LSTM Enhanced by Loss-switch Mechanism for Traffic Flow Forecasting.Neurocomputing, 2020, accepted [Top期刊]
üZhou, Teng, Han, Guoqiang, Xu, Xuemiao, Lin, Zhizhe, Han, Chu, Huang, Yuchang, Qin, Jing. delta-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting.Neurocomputing, Elsevier, 2017, 247(4): 31—38 [Top期刊]
üCai, Weihong, Yang, Junjie, Yu, Yidan, Song, Youyi,Zhou, Teng*, Qin, Jing. PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting. IEEE Access, IEEE, 2020: 1-10 [高被引]
üJiang, Dazhi, Wu, Kaichao, Chen, Dicheng, Tu, Geng,Zhou, Teng, Garg, Akhil, Gao, Liang. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems. Measurement, Elsevier [热点文章]
üZuhao Ge, Yuhui Li, Cheng Liang, Youyi Song,Teng Zhou*, Jing Qin. ACSNet: Adaptive Cross-scale Network with Feature Maps Refusion for Vehicle Density Detection. IEEE International Conference on Multimedia and Expo (ICME 2021) [Oral]
üDazhi Jiang*, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng,Teng Zhou. A Hybrid Intelligent Model for Acute Hypotensive Episode Prediction with Large-scale Data.INFORMATION SCIENCES, 2020
üCai, Weihong, Yu, Ding, Wu, Ziyu, Du, Xin,Zhou, Teng*. A hybrid ensemble learning framework for basketball outcomes prediction.Physica A: Statistical Mechanics and its Applications, https://doi.org/10.1016/j.physa.2019.121461
üCai, Lingru, Zhang, Zhanchang, Yang, Junjie, Yu, Yidan,Zhou, Teng*, Qin, Jing. A noise-immune Kalman filter for short-term traffic flow forecasting.Physica A: Statistical Mechanics and its Applications, https://doi.org/10.1016/j.physa.2019.122601
üCai, Lingru, Chen, Qian, Cai, Weihong, Xu, Xuemiao,Zhou, Teng*, Qin, Jing. SVRGSA: a hybrid learning based model for short-term traffic flow forecasting.IET Intelligent Transport Systems, https://doi.org/10.1049/iet-its.2018.5315
üHuakang Lu, Dongmin Huang, Youyi Song, Dazhi Jiang,Teng Zhou*, Jing Qin. ST-TrafficNet: A spatial-temporal deep learning network for traffic forecasting. Electronics
üZhou, Teng*, Jiang, Dazhi, Lin, Zhizhe, Han, Guoqiang, Xu, Xuemiao, Qin, Jing. Hybrid dual Kalman filtering model for short-term traffic flow forecasting.IET Intelligent Transport Systems, IET Digital Library
üZhou, Teng, Han, Guoqiang, Xu, Xuemiao, Han, Chu, Huang, Yuchang, Qin, Jing. A learning-based multimodel integrated framework for Dynamic traffic flow forecasting.Neural Processing Letters, Springer US, 2019, 43(1): 407--430
üZhou, Teng, Han, Guoqiang, Li, Bing Nan, Lin, Zhizhe, Ciaccio, Edward J, Green, Peter H, Qin, Jing. Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. Computers in Biology and Medicine, Pergamon, 2017, 85(2): 1—6
üLi, BNN, Wang, X, Wang, R,Zhou, T, Gao, R*, Ciaccio, EJ, Green, PH. Celiac Disease Detection from Videocapsule Endoscopy Images Using Strip Principal Component Analysis..IEEE/ACM transactions on computational biology and bioinformatics, 2019
üGuorong Xiao, Geng Tu, Lin Zheng,Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang. Multi-modality Sentiment Analysis in Social Internet of Things based on Hierarchical Attentions and CSATTCN with MBM Network.IEEE Internet of Things Journal
üLi, Yan, Ge, Zuhao, Zhiyan, Zhang, Shen, Zhiwei, Wang, Yukai,Zhou, Teng*, Wu, Renhua*. Broad learning enhanced 1H-MRS for early diagnosis of neuropsychiatric systemic lupus erythematosus. Computational and Mathematical Methods in Medicine, 2020
üGuan, Jitian, Ding, Yan, Rong, Yunjie, Geng, Yiqun, Lai, Lingfeng, Qi, Dan, Tang, Yanyan, Yang, Lin, Li, Juntao,Zhou, Teng, Wu, Erxi, Wu, Renhua*. Early Life Stress Increases Brain Glutamate and Induces Neurobehavioral Manifestations in Rats.ACS Chemical Neuroscience, 2020
üSong, Youyi, Yu, Zhen,Zhou, Teng, Teoh, Jeremy Yuen-Chun, Lei, Baiying, Choi, Kup-Sze, Qin, Jing. Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru
üSong, Youyi,Zhou, Teng, Teoh, Jeremy Yuen-Chun, Zhang, Jing, Qin, Jing. Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru
üChangli Li*, Shiqiang Tang, Jingwen Yan,Teng Zhou. Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry, 2020
üDazhi Jiang, Dongmin Huang, Youyi Song, Kaichao Wu, Huakang Lu, Quanquan Liu,Teng Zhou*. An Audio Data Representation for Traffic Acoustic Scene Recognition. IEEE Access, 2020, 8
üChangli Li, Shiqiang Tang, Jingwen Yan,Teng Zhou. Low-light Image Enhancement via Pair of Complementary Gamma Functions by Fusion. IEEE Access, 2020
üChangli Li*, Shiqiang Tang, Hon Keung Kwan, Jingwen Yan,Teng Zhou. Color Correction Based on CFA and Enhancement Based on Retinex with Dense Pixels for Underwater Images. IEEE Access, 8
üSong, Youyi*, Yu, Zhen,Zhou, Teng, Teoh, Jeremy Yuen-Chun, Lei, Baiying, Kup-Sze, Choi, Qin, Jing. CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. IEEE International Symposium on Biomedical Imaging (ISBI 2020), IEEE, 2020: 1-4
üWang, Jiajun, Xie, Zixin, Li, Yan, Song, Youyi, Yan, Jingwen, Bai, Weihua*,Zhou, Teng*, Qin, Jing. Relationship between health status and physical fitness of college students from South China: An empirical study by data mining approach. IEEE Access, 2020, 1-8
üCai, Lingru, Lei, Mingqin, Zhang, Shuangyi, Yu, Yidan,Zhou, Teng*, Qin, Jing. A noise-immune LSTM network for short-term traffic flow forecasting. Chaos, AIP Publishing, 2020: 1-10
üXin Li, Lu Bai, Zuhao Ge, Zhizhe Lin, Xi Yang*,Teng Zhou*. Early diagnosis of neuropsychiatric systemic lupus erythematosus by deep learning enhanced magnetic resonance spectroscopy. Journal of Medical Imaging and Health Informatics, 11(5)
üCai, Lingru, Yu, Yidan, Zhang, Shuangyi, Song, Youyi, Xiong, Zhi,Zhou, Teng*. A Sample-rebalanced Outlier-rejected k-nearest Neighbour Regression Model for Short-Term Traffic Flow Forecasting. IEEE Access, IEEE, 2020: 1-11
üWeiwei Fang, Xin Li*, Ping Zhou, Jingwen Yan, Dazhi Jiang,Teng Zhou*. Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. IEEE Access, 2021, 9: 9777-9784
üZhang, Shuangyi, Song, Youyi, Jiang, Dazhi,Zhou, Teng*, Qin, Jing. Noise-identified Kalman filter for short-term traffic flow forecasting. The 15th International Conference on Mobile Ad-hoc and Sensor Networks, Hong Kong