個人簡介
教育經曆
2012.9-2017.10 華南理工大學計算機科學與工程學院 博士
2010.9-2012.7 中山大學信息科學與技術學院 碩士
2006.9-2010.7 華南師範大學數學科學學院 本科
工作經曆
2023.8-至今 365英国上市官网在线 365英国上市官网在线 教授（高聘）
2017.11-2023.7 汕頭大學 計算機系 講師
研究方向
時空數據分析與處理，高維數據分析與處理
基本介紹
周騰博士，男， 2023年8月獲聘365英国上市官网在线教授（高聘），博士生導師，海南省高層次人才，研究方向為時空數據分析與處理，高維數據分析與處理，具體包括交通流大數據建模與預測，磁共振波普分析，腦電數據處理，高維遙感數據處理等，近三年主持包括國家自然科學基金青年科學基金、廣東省自然科學基金面上項目、廣東省教育科學“十三五”規劃項目等多個國家級省級項目，近5年發表學術論文80餘篇，他引1600多次，h-index為21，i10-index為38，累計影響因子200多，其中曾入選ESI熱點文章1篇，高被引文章4篇，單篇最高被引130次；申請發明專利8項；擔任國家自然科學基金函評專家，廣東省自然科學基金函評專家，新工科教育專業指導委員會委員、廣東省生物醫學工程學會醫學信息工程分會委員，擔任《Smart Construction and Sustainable Cities》編委，以及《Mathematics》《Algorithms》《Big Data and Cognitive Computing》《BioMedInformatics》《Information》等期刊特輯編委。
歡迎碩士研究生、科研熱情的本科生加盟到我的課題組，本課題組的大部分碩士生申請到國内外頂尖高校攻讀博士學位，大部分本科生也能保研國内985高校或者進入頂尖企業工作，具體見本頁最後。
有意向加入課題組的同學請加我的微信：（+13604537833）或Email到我的郵箱（teng.zhou@hainanu.edu.cn）。
個人主頁：http://zhouteng.net
科研項目
主持及參與科研項目
1. 國家自然科學基金青年科學基金，面向城市道路環境時空上下文感知的交通流預測研究，No. 61902232，24萬，主持
2. 國家自然科學基金重點國際(地區)合作與交流項目，基于磁共振分子影像探索阿爾茨海默病腦代謝和類淋巴系統異常，No. 82020108016，249萬，第一參與人，子項目負責人
3. 廣東省自然科學基金面上項目，基于深度學習多模型集成的交通流量預測算法研究與應用，10萬，No. 2018A030313291，主持
4. 廣東省自然科學基金面上項目，基于動力學特征城市功能分區與路網融合的交通流預測研究，10萬，No. 2022A1515011590，主持
5. 廣東省教育科研“十三五”規劃課題，以成果為導向翻轉測驗驅動的教學模式研究——以計算機網絡為例，No. 2018GXJK048，3萬，主持
6. 國家自然科學基金面上項目，磁共振分子影像早期診斷阿爾茨海默病的技術研究, No. 31870981，參與
7. 國家自然科學基金面上項目，基于多線性子空間分析的視頻特征壓縮表示及應用研究，No. 61472145，參與
8. 國家自然科學基金面上項目，基于機器視覺的監控視覺數據智能分析，No. 61772206，參與
9. 國家自然科學基金青年科學基金項目，多顯著物體的分析與理解，No. 61702194，參與
10. 李嘉誠基金會交叉研究項目，面向有限訓練樣本磁共振早期診斷阿爾茨海默病的噪聲免疫學習框架，No. 2020LKSFG05D, 100萬，主持
11. 貴州省教育廳-省部共建公共大數據國家重點實驗室2022年度開放基金，元宇宙數字孿生交通流預測算法研究，10萬，主持，2023.01.10-2025.01.10
12. 廣東智雲工程科技有限公司橫向項目，基于複雜樣本學習的建築施工安全監測預警系統平台，No. GDKTP2021030900，10萬，主持
論文/專利
論文情況
1. Tianhong Quan, Ye Yuan, Yu Luo, Youyi Song*, Teng Zhou*, Jiaqi Wang. From Regression to Classification: Fuzzy Multi-Kernel Subspace Learning for Robust Prediction and Drug Screening. IEEE Transactions on Industrial Informatics. 2023. http://doi.org/10.1109/TII.2023.3321332 [SCI Q1]
2. Weijian Xu, Jingjin Liu, Jingwen Yan, Juan Yang, Huifen Liu, Teng Zhou*. Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction. IEEE Internet of Things Journal. 2023. http://doi.org/10.1109/JIOT.2023.3317190 [SCI Q1]
3. Boyu Huang, Haowen Dou, Yu Luo, Junchao Li, Jiaqi Wang, Teng Zhou*. Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow Forecasting by IoT Loop Detectors. IEEE Internet of Things Journal. 2022. https://doi.org/10.1109/JIOT.2022.3209523 [SCI Q1]
4. Ye Yuan#, Tianhong Quan#, Youyi Song*, Jitian Guan, Teng Zhou*, Renhua Wu. Noise-immune Extreme Ensemble Learning for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. IEEE Journal of Biomedical and Health Informatics. 2022. https://doi.org/10.1109/JBHI.2022.3164937 [SCI Q1, TOP期刊]
5. Teng Zhou, Haowen Dou, Jie Tan, Youyi Song, Fei Wang, Jiaqi Wang*. Small dataset solves big problem: an outlier-insensitive binary classifier for inhibitory potency prediction. Knowledge-Based Systems. 2022. https://doi.org/10.1016/j.knosys.2022.109242 [SCI Q1, TOP期刊]
6. Yu Luo, Qingdong Huang, Jie Ling, Kailong Lin, Teng Zhou*, Local and Global Knowledge Distillation with Direction-enhanced Contrastive Learning for Single-image Deraining. Knowledge-based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.110480 [SCI Q1, TOP期刊]
7. JiaxianZhu, WeihuaBai, JialingZhao, Liyun Zuo, Teng Zhou*, Keqin Li. Variational Mode Decomposition and Sample Entropy Optimization Based Transformer Framework for Cloud Resource Load Prediction. Knowledge-Based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.111042 [SCI Q1, TOP期刊]
8. Dongbin Yin, Baizhong Zhang, Jingwen Yan*, Yu Luo, Teng Zhou*, Jing Qin. CoWNet: A correlation weighted network for geological hazard detection. Knowledge-Based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.110684 [SCI Q1, TOP期刊]
9. Huaidong Huang#, Shiqiang Zheng#, Zhongxian Yang, Yi Wu, Yan Li, Jinming Qiu, Yan Cheng, Panpan Lin, Yan Lin, Jitian Guan, David John Mikulis, Teng Zhou* and Renhua Wu*. Voxel-Based Morphometry and a Deep Learning Model for the Diagnosis of Early Alzheimer’s Disease Based on Cerebral Grey Matter Changes. Cerebral Cortex. 2022. bhac099, https://doi.org/10.1093/cercor/bhac099 [SCI Q1, 神經科學權威期刊]
10. Boyu Huang, Guanru Tan, Haowen Dou, Zhihan Cui, Youyi Song*, Teng Zhou*. Mutual Gain Adaptive Network for Segmenting Brain Stroke Lesions. Applied Soft Computing. 2022. https://doi.org/10.1016/j.asoc.2022.109568 [SCI Q1]
11. Keer Wu, Changhong Xu, Jingwen Yan, Fei Wang, Zhizhe Lin, and Teng Zhou*. Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Engineering Applications of Artificial Intelligence 123 (2023): 106411. https://doi.org/10.1016/j.engappai.2023.106411 [SCI Q1, TOP期刊]
12. Huakang 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, Elsevier, 2021, 427: 169—178. https://doi.org/10.1016/j.neucom.2020.11.026 [SCI Q1]
13. Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin. delta-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing, Elsevier, 2017, 247(4): 31—38. https://doi.org/10.1016/j.neucom.2017.03.049 [SCI Q1]
14. Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou*, Jing Qin. Dfree-LSTM: An Error Distribution Free Deep Learning for Short-term Traffic Flow Forecasting. Neurocomputing. 2022. https://doi.org/10.1016/j.neucom.2023.01.009 [SCI Q1, TOP期刊]
15. Huaying Li, Shumin Yang, Yu Luo, Junchao Li, Youyi Song, and Teng Zhou*. Spatial Dynamic Graph Convolutional Network for Traffic Flow Forecasting. Applied Intelligence. 2022. https://doi.org/10.1007/s10489-022-04271-z [SCI Q1]
16. Guanru Tan#, Teng Zhou#*, Boyu Huang, Haowen Dou, Youyi Song, Zhizhe Lin*. A Noise-immune and Attention-based Multi-modal Framework for Short-term Traffic Flow Forecasting. Soft Computing. 2023. https://doi.org/10.1007/s00500-023-09173-x [SCI Q2]
17. Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J Ciaccio, Peter H Green, Jing Qin. Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. Computers in Biology and Medicine, 2017, 85(2): 1-6. https://doi.org/10.1016/j.compbiomed.2017.03.031 [SCI Q1]
18. Haowen Dou#, Jie Tan#, Huiling Wei, Fei Wang, Jinzhu Yang, X.-G. Ma, Jiaqi Wang*, Teng Zhou*. Transfer inhibitory potency prediction to binary classification: A model only needs a small training set. Computer Methods and Programs in Biomedicine. 2022. https://doi.org/10.1016/j.cmpb.2022.106633 [SCI Q1]
19. Jinming Qiu#, Guanru Tan#, Yan Lin, Jitian Guan, Zhuozhi Dai, Fei Wang, Caiyu Zhuang, Alan H Wilman, Huaidong Huang, Zhen Cao, Yanyan Tang, Yanlong Jia, Yan Li, Teng Zhou*, Renhua Wu*. Automated Detection of Intracranial Artery Stenosis and Occlusion in Magnetic Resonance Angiography: A Preliminary Study Based on Deep Learning. Magnetic Resonance Imaging. 2022. https://doi.org/10.1016/j.mri.2022.09.006 [SCI Q3，醫學影像學T2級]
20. Lingru Cai, Mingqin Lei, Shuangyi Zhang, Yidan Yu, Teng Zhou*, Jing Qin. A noise-immune LSTM network for short-term traffic flow forecasting. Chaos, 2020, 30(2): 023135. https://doi.org/10.1063/1.5120502 [SCI Q1]
21. Teng Zhou, Guoqiang Han, Xuemiao Xu, Chu Han, Yuchang Huang, Jing Qin. A learning-based multimodel integrated framework for Dynamic traffic flow forecasting. Neural Processing Letters. 2019, 43(1): 407—430 https://doi.org/10.1007/s11063-018-9804-x [SCI Q1]
22. Shumin Yang, Huaying Li, Zhizhe Lin, Youyi Song, Cheng Lin*, and Teng Zhou*. Quantitative Analysis of Anesthesia Recovery Time by Machine Learning Prediction Models. Mathematics. 2022; 10(15):2772. https://doi.org/10.3390/math10152772 [SCI Q1]
23. Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou*, Jing Qin*. Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting. IET Software. 2023. https://doi.org/10.1049/sfw2.12139 [CCF B類期刊]
24. Zhihan Cui, Boyu Huang, Haowen Dou, Yan Cheng, Jitian Guan, Teng Zhou*. A Two-Stage Hybrid Extreme Learning Model for Short-term Traffic Flow Forecasting. Mathematics. 2022. https://doi.org/10.3390/math10122087 [SCI Q1]
25. Wenguang Chai, Yuexin Zheng, Lin Tian, Jing Qin*, Teng Zhou*. GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting. Mathematics. 2023. http://doi.org/10.3390/math11163574 [SCI Q1]
26. Weiwei Fang, Wenhao Zhuo, Jingwen Yan, Dazhi Jiang, Youyi Song, Teng Zhou*. Attention meets long short-term memory: A deep learning network for traffic flow forecasting, Physica A: Statistical Mechanics and its Applications 2022, 587, 126485, doi: https://doi.org/10.1016/j.physa.2021.126485 [SCI Q2]
27. Weihong Cai, Ding Yu, Ziyu Wu, Xin Du, Teng Zhou*. A hybrid ensemble learning framework for basketball outcomes prediction. Physica A: Statistical Mechanics and its Applications, 2019, 528: 121461 https://doi.org/10.1016/j.physa.2019.121461 [SCI Q2]
28. Lingru Cai, Zhanchang Zhang, Junjie Yang, Yidan Yu, Teng Zhou*, Jing Qin. A noise-immune Kalman filter for short-term traffic flow forecasting. Physica A: Statistical Mechanics and its Applications, 2019, 536: 122601 https://doi.org/10.1016/j.physa.2019.122601 [SCI Q2]
29. Zhihan Cui, Boyu Huang, Haowen Dou, Guanru Tan, Shiqiang Zheng, Teng Zhou*, GSA-ELM: A hybrid learning model for short-term traffic flow forecasting, IET Intelligent Transport Systems (2021). https://doi.org/10.1049/itr2.12127 [SCI Q2]
30. Lingru Cai, Qian Chen, Weihong Cai, Xuemiao Xu, Teng Zhou*, 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 [SCI Q2]
31. Teng Zhou*, Dazhi Jiang, Zhizhe Lin, Guoqiang Han, Xuemiao Xu, Jing Qin. Hybrid dual Kalman filtering model for short-term traffic flow forecasting. IET Intelligent Transport Systems, 2019, 13(6), 1023—1032. https://doi.org/10.1049/iet-its.2018.5385 [SCI Q2]
32. Shumin Yang, Huaying Li, Yu Luo, Junchao Li, Youyi Song, and Teng Zhou*. Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting. Mathematics 2022; 10(9): 1594. https://doi.org/10.3390/math10091594 [2022年11月入選ESI高被引文章，SCI Q1]
33. Weihong Cai, Junjie Yang, Yidan Yu, Youyi Song, Teng Zhou*, Jing Qin. PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting. IEEE Access, IEEE, 2020: 1-10. https://doi.org/10.1109/ACCESS.2019.2963784 [2020年兩次進入ESI高被引]
34. Dazhi Jiang, Kaichao Wu, Dicheng Chen, Geng Tu, Teng Zhou, Akhil Garg, Liang Gao. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems. Measurement, 2020, 150, 207049. https://doi.org/10.1016/j.measurement.2019.107049 [2020年入選ESI熱點文章、ESI高被引文章]
35. Zuhao 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) https://doi.org/10.1109/ICME51207.2021.9428454 [僅次于ECCV的B類會議，口頭報告，15%錄取率]
36. Wei Wang, Yu Luo, Jie Ling, Youyi Song, Teng Zhou*. C3Net: a cross-channel cross-scale and cross-stage network for single image super-resolution. IEEE International Conference on Multimedia and Expo (ICME 2022) https://doi.org/10.1109/ICME52920.2022.9859958 [僅次于ECCV的B類會議]
37. Shuangyi Zhang, Youyi Song, Dazhi Jiang, Teng Zhou*, Jing Qin. Noise-identified Kalman filter for short-term traffic flow forecasting. The 15th International Conference on Mobile Ad-hoc and Sensor Networks, Hong Kong. https://doi.org/10.1109/MSN48538.2019.00093 [CCF C類會議]
38. Guanru Tan, Shiqiang Zheng, Boyu Huang, Zhihan Cui, Hanwen Dou, Xi Yang*, Zhou, Teng. Hybrid GA-SVR: An Effective Way to Predict Short-term Traffic Flow 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021), 2021. http://doi.org/10.1007/978-3-030-95388-1_4 [CCF C類會議]
39. Huakang Lu, Dongmin Huang, Youyi Song, Dazhi Jiang, Teng Zhou*, Jing Qin. ST-TrafficNet: A spatial-temporal deep learning network for traffic forecasting. Electronics, 2020. https://doi.org/10.3390/electronics9091474 [SCI Q3]
40. Dazhi 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, 2021, 546, 787-802. [SCI Q1]
41. Tianhong Quan, Ye Yuan, Yu Luo, Teng Zhou*, Jing Qin. Fuzzy Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) [醫學圖像AI頂會]
42. Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou*, Jing Qin. Fuzzy Structural Broad Learning for Breast Cancer Classification. IEEE International Symposium on Biomedical Imaging (ISBI 2022), IEEE, 2022: 1-4. https://doi.org/10.1109/ISBI52829.2022.9761496 [醫學圖像AI頂會]
43. Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin. 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. https://doi.org/10.1007/978-3-030-59719-1_18 [醫學圖像AI頂會]
44. Youyi Song*, Teng Zhou, Jeremy Yuen-Chun Teoh, Jing Zhang, Jing Qin. Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. https://doi.org/10.1007/978-3-030-59719-1_31 [醫學圖像AI頂會]
45. Youyi Song*, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin. 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. https://doi.org/10.1109/ISBI45749.2020.9098488 [醫學圖像AI頂會]
46. Bing Nan Li, Xinle Wang, Rong Wang, Teng Zhou, Rongke Gao, Edward J. Ciaccio, Peter H. Green. Celiac Disease Detection from Videocapsule Endoscopy Images Using Strip Principal Component Analysis. IEEE/ACM transactions on computational biology and bioinformatics, 2021, 18(4), 1396-1404. https://doi.org/10.1109/TCBB.2019.2953701 [SCI Q1]
47. Guorong 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. https://doi.org/10.1109/JIOT.2020.3015381 [SCI Q1]
48. Fei Wang, Songhua Xu, Dazhi Jiang, Baoquan Zhao, Xiaoqiang Dong, Teng Zhou, and Xiaonan Luo. Particle hydrodynamic simulation of thrombus formation using velocity decay factor. Computer Methods and Programs in Biomedicine 207 (2021): 106173. https://doi.org/10.1016/j.cmpb.2021.106173 [SCI Q1]
49. Zhili Lu, Qiaoxian Zhong, Jingxian Li, Bingjie Zhou, Yan-Ni Xing, Kaien Liu, Kexin Cao, Dongming Lan, Teng Zhou, Yonghua Wang*, Jiaqi Wang*. Glycine substitution of residues with unfavored dihedral angles improves protein thermostability. Catalysts. 2022. [SCI Q2]
50. Yan Li, Zuhao Ge, Zhiyan Zhang, Zhiwei Shen, Yukai Wang, Teng Zhou*, Renhua Wu*. Broad learning enhanced 1H-MRS for early diagnosis of neuropsychiatric systemic lupus erythematosus. Computational and Mathematical Methods in Medicine, 2020. https://doi.org/10.1155/2020/8874521 [SCI Q3]
51. Guanru Tan, Boyu Huang, Zhihan Cui, Hanwen Dou, and Shiqiang Zheng, Teng Zhou*. An Effective Method for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus Based on Reinforcement Learning. Mathematical Biosciences and Engineering, 2022. [SCI Q3]
52. Yan Cheng, Airong Cheng, Yanlong Jia, Lin Yang, Yan Ning, Liang Xu, Yazhi Zhong, Zerui Zhuang, Jitian Guan, Xiaolei Zhang, Yan Lin, Teng Zhou, Xiusong Fan, Jianwu Li, Peng Liu*, Gen Yan*, Renhua Wu*. pH-Responsive Multifunctional Theranostic Rapamycin-Loaded Nanoparticles for Imaging and Treatment of Acute Ischemic Stroke. ACS Applied Materials & Interfaces. 2021. https://doi.org/10.1021/acsami.1c16530
53. Jitian Guan, Yan Ding, Yunjie Rong, Yiqun Geng, Lingfeng Lai, Dan Qi, Yanyan Tang, Lin Yang, Juntao Li, Teng Zhou, Erxi Wu, Renhua Wu*. Early Life Stress Increases Brain Glutamate and Induces Neurobehavioral Manifestations in Rats. ACS Chemical Neuroscience, 2020. https://doi.org/10.1021/acschemneuro.0c00454
54. Changli Li*, Shiqiang Tang, Jingwen Yan, Teng Zhou. Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry, 2020. https://doi.org/
55. Xin 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). https://doi.org/10.1166/jmihi.2021.3378
56. Shiqiang Zheng, Shuangyi Zhang, Youyi Song, Zhizhe Lin, Dazhi Jiang, and Teng Zhou*. A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting. Complexity 2021 (2021). https://doi.org/10.1155/2021/5582974
57. Weiwei 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. https://doi.org/10.1109/ACCESS.2021.3051079 [SSCI收錄]
發明專利
1. 周騰; 鄭仕強; 梁倚蔚; 一種基于非線性自适應系統的短期交通流預測方法, 2021-09-16, 中國, ZL202111089826.6 【已授權】
2. 周騰; 張塽旖; 蔡偉鴻; 一種短期交通流的預測方法及裝置, 2020-01-16, 中國, ZL202010045992.5. 【已授權】
3. 周騰; 李桦櫻; 楊舒敏;一種使用空間動态圖卷積網絡進行交通流預測方法, 2022-05-18, 中國, ZL202210559673.5. 【已授權】
4. 周騰; 張展昌; 蔡玲如; 一種基于最大協同熵卡爾曼濾波方法, 2019-04-02, 中國, ZL201910259574.3. 【已授權】
5. 周騰; 楊舒敏; 李桦櫻; 基于新深空時自适應融合圖網絡的短期交通流預測方法, 2022-05-18, 中國, CN202210532872.7.
6. 楊曦; 周騰; 一種基于集成學習算法的預測交通流量方法, 2019-12-20, 中國, CN201911321495.7.
7. 楊曦; 周騰; 董振傑; 一種智能醫療系統位置隐私保護機制, 2019-12-01, 中國, CN201911321498.8.
8. 周騰; 窦浩文; 林建和; 一種基于小數據集的藥物抑制效力強度預測方法, 2022-02-14, 中國, CN202210133056.9.
課題組已畢業學生
課題組碩士生
1. 張塽旖，發表SCI論文3篇，中文核心1篇，獲得發明專利1項，已畢業，深圳市騰訊計算機系統有限公司工作
2. 鄭仕強，發表SCI論文4篇，獲得發明專利1項，已畢業，深圳大學博士研究生在讀
3. 譚冠儒，發表SCI論文4篇，已畢業，湖南大學博士研究生在讀
4. 窦浩文，發表SCI論文3篇，中科院一區2篇，申請發明專利1項，已畢業，西安交通大學博士研究生在讀
5. 全天鴻，發表SCI論文3篇，中科院一區2篇，MICCAI一篇，已畢業，北京理工大學博士研究生在讀
6. 崔植涵，發表SCI論文4篇，已畢業，貴州省公路局大數據服務中心
7. 黃博宇，發表SCI論文6篇，中科院一區2篇，已畢業，南昌市城市管理局
課題組本科生
1. 葛祖浩，發表SCI論文3篇，ICME口頭報告1篇，已畢業，保送複旦大學碩士研究生
2. 魯華康，發表SCI論文3篇，已畢業，保送華東師範大學碩士研究生
3. 楊舒敏，發表SCI論文3篇，一作論文入選ESI高被引論文，廣東省挑戰杯一等獎，已畢業，保送廈門大學碩士研究生
4. 李桦櫻，發表SCI論文3篇，廣東省挑戰杯一等獎，已畢業，保送廈門大學碩士研究生
