Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Patents:
Teng Fei, Ma Minbo, Li Shuangqing, Yao Yuan, Zeng Yu, Liu Yun,A joint extra ction method of entity relations for medical texts, Invention Patent, China, ZL 202010156316.5, 2020.3.9
Teng Fei, Zhong Wen, Ma Zheng, Knowledge Graph Completion Method Based on Neural Network, Invention Patent, China, ZL201910663022.9, 2021.9.28, CN110347847B
Teng Fei, Cui Zhe, Zhang Lei, Li Tianrui, A Parallelized High-speed Railway Survey Data Retrieval Method Based on Grid Index, Invention Patent, China, ZL201910602205.X, 2021.12.21, CN1102979527B
Teng Fei, Li Gengshu, Li Tianrui, Du Shengdong, An automatic tuning method of Hadoop parameters based on micro-operation, invention patent, China, ZL201810426699.6, 2021.2.12, CN108647135B
Teng Fei, Huang Qichuan, Li Yong, Li Tianrui, Time Series Analysis Method and System Based on Data Parallelism, Invention Patent, China, ZL201710771475.4, 2021.4.20, CN107644063B
Accepted patents:
Teng Fei, Zhou Xiaomin, Zhang Enming, Ma Zheng, Huang Lufei, Li Xuan, A medical text encoding method, device, system and storage medium, Invention Patent, China, CN202210169875.9, 2022.2.24
Wang Dian, Teng Fei, Ma Zheng, Li Shuangqing, Yao Yuan, A sleep apnea risk assessment method, device, equipment and storage medium, invention patent, China, CN202210167175.6, 2022.2.23
Teng Fei, Liu Jianzhu, Chi Maoru, Zhou Yabo, A method for optimizing high-speed rail high wind alarm time limit, invention patent, China, ZL 202010156618.2, 2020.3.9
Teng Fei, Yang Wei, Chen Li, Huang Lufei, Li Xuan, An automatic coding method for electronic medical records ICD based on knowledge graph, invention patent, China, ZL202010156828.1, 2020.3.9
Teng Fei, Zheng Shaoyu, Ma Zheng, Chen Zejun, Ma Hong, Wu Jie, A disease knowledge map retrieval method based on symptom characteristics, Invention Patent, China, ZL202010158279.1, 2020.3.9
Teng Fei, Bai Meng, Du Jun, An automatic annotation method for entity relationships applied to medical texts, Invention Patent, China, ZL 202010151091.4, 2020.3.6
Teng Fei, Chen Jie, Ma Zheng, Huang Lufei, Chen Li, An automatic coding method for electronic medical records ICD based on deep learning, invention patent, China, ZL202010151556.6, 2020.3.6
Teng Fei, Liu Jianzhu, Gou Hongye, Zhu Jinye, A high-speed rail high-speed wind warning method based on frequent sequences, invention patent, China, ZL202010156829.6, 2019.3.9
Teng Fei, Tang Li, Ma Zheng, Huang Lufei, Li Xuan, Entity relationship extraction method for electronic medical records based on convolutional recurrent neural network, invention patent, China, ZL201910184951.1, 2019.3.12
Teng Fei, Li Yong, Li Tianrui, A Deep Learning-Based Track-Vehicle Body Vibration State Prediction Method, Invention Patent, China, ZL201810637027.X, 2018.6.20
Teng Fei, Ning Shangming, Li Tianrui, Du Shengdong, A Cost Optimization Method for SPARK Platform Based on Data Persistence, Invention Patent, China, ZL201810346476.9, 2018.4.17
Journals：
Fei Teng*, JianTeng, Lu Qiao, Shengdong Du, and Tianrui Li. A multi-step forecasting model of online car-hailing demand[J]. Information Sciences . 2022,587(6):572-586（中科院1区，计算机：信息系统领域Top期刊，IF：6.795）
Fei Teng, Yiming Liu, Tianrui Li, Yi Zhang; Shuangqing Li, Yue Zhao.A review on deep neural networks for ICD coding[J].IEEE Transactions on Knowledge and Data Engineering,2022,doi: 10.1109/TKDE.2022.3148267.(中科院2区，IF:6.977)
Fei Teng*, Dian Wang, Yue Yuan, Enming Zhang, Haibo Zhang, Amit Kumar Singh, Zhihan Lv. Multimedia Monitoring System of Obstructive Sleep Apnea via Deep Active Learning Model[J]. IEEE MultiMedia,2022,doi: 10.1109/MMUL.2022.3146141.(中科院2区，IF:5.633)
Fei Teng, Lei Yu, Xiao Liu, Lai Pei. Tight Lower bound on power consumption for scheduling real-time periodic tasks in core-level DVFS systems. Parallel Computing. 2022,110(2):102892(1-10)(中科院4区，IF:0.986)
Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu. A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(2): 899-911(中科院1区，工程：土木领域Top期刊，IF:6.492)
Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang. Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding.IEEE Transactions on Knowledge and Data Engineering,2021, doi: 10.1109/TKDE.2021.3098612.(中科院2区，IF:6.977)
罗金屯,滕飞*,周亚波,池茂儒,张海波.数据驱动的高速铁路轮轨作用力反演模型[J].南京大学学报(自然科学),2021,57(02):299-308.
滕建 ,滕飞 ,李天瑞 .基于3D卷积和LSTM编码解码的出行需求预测[J].计算机科学,2021,48(12):195-203.(CCF计算领域T2类)
Fei Teng*, Rui Zhu, Yabo Zhou, Maoru Chi, Haibo Zhang.A lightweight model of wheel‐rail force inversion for railway vehicles[J]. Concurrency and Computation: Practice and Experience, 2021: e6443.(中科院4区，IF:1.536)
ShuYuan Hu,Fei Teng*,Lufei Huang,Jun Yan,Haibo Zhang，An explainable CNN approach for medical codes prediction from clinical text[J]. BMC Medical Informatics and Decision Making, 2021, 21(9): 1-12.(中科院3区，IF:2.796)
Fei Teng*, Wei Yang, Li Chen, Lufei Huang, Qiang Xu: Explainable prediction of medical codes with knowledge graphs[J]. Frontiers in Bioengineering and Biotechnology, 2020, 8: 1-11(中科院2区，IF:5.890)
Fei Teng*, Zheng Ma, Jie Chen, Ming Xiao, Lufei Huang: Automatic medical code assignment via deep learning approach for intelligent healthcare[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 24(9): 2506-2515. (中科院2区，医学：信息领域Top期刊，IF:5.772)
Qiang Xu, Yu Zeng, Wenjun Tang, Wei Peng, Tingwei Xia, Fei Teng*, Weihong Li, Jinhong Guo: Multi-task joint learning model for segmenting and classifying tongue images using a deep neural network[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 24(9): 2481-2489.(中科院2区，医学：信息领域Top期刊，IF:5.772)
Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang: Urban big data fusion based on deep learning: An overview[J]. Information Fusion, 2020, 53(1): 123-133.(中科院1区,计算机：人工智能领域Top期刊，IF:12.975)
滕飞*,黄齐川,李天瑞,王晨,田春华.大规模时间序列分析框架的研究与实现[J].计算机学报,2020,43(07):1279-1292.(CCF计算领域T1类)
宁尚明,滕飞*,李天瑞.基于多通道自注意力机制的电子病历实体关系抽取[J].计算机学报,2020,43(05):916-929.(CCF计算领域T1类)
滕飞*,刘鉴竹,祝锦烨,勾红叶.高铁大风预警模式挖掘[J].国防科技大学学报,2020,42(02):55-63.（EI检索）
付治,王红军,李天瑞,滕飞,张继.基于k个标记样本的弱监督学习框架[J].软件学报,2020,31(04):981-990.(CCF计算领域T1类)
Lei Yu, Fei Teng*, Shangming Ning, Yunshu Li, Zhe Cui, Shengdong Du: A two steps method of resources utilization predication for large Hadoop data center[J]. Concurrency and Computation: Practice and Experience, 2020, 32(15): e5634.(中科院4区，IF:1.536)
Qiang Xu，Wenjun Tang, Fei Teng, Wei Peng, Yifan Zhang , Weihong Li, Chuanbiao Wen, Junhong Guo*. Intelligent syndrome differentiation of traditional Chinese medicine by ANN: a case study of chronic obstructive pulmonary disease[J]. IEEE Access, 2019, 7: 76167-76175.(中科院3区，IF:3.367)
滕飞,戴荣杰,任晓春.复杂网络的重叠社区发现并行算法[J].西南交通大学学报,2019,54(01):211-218.（EI检索）
朱立霞,李天瑞,滕飞,彭博.基于区间分类的螺旋图可视化边绑定方法[J].计算机科学,2019,46(01):107-111.(CCF计算领域T2类)
Yan Yang, Fei Teng, Tianrui Li, Hao Wang, Hongjun Wang, Qi Zhang: Parallel semi-supervised multi-ant colonies clustering ensemble based on mapreduce methodology[J]. IEEE Transactions on Cloud Computing, 2018, 6(3): 857-867.(中科院2区，IF:5.938)
饶齐,杨燕,滕飞.基于多视图加权聚类集成的高速列车工况识别[J].中国科学技术大学学报,2018,48(01):35-41.
李勇,滕飞*,黄齐川,李天瑞.基于Spark的时间序列并行分解模型[J].计算机科学与探索,2018,12(07):1055-1063.(CCF计算领域T2类)
Fei Teng, Lei Yu, Tianrui Li, Danting Deng, Frederic Magoules: Energy efficiency of VM consolidation in IaaS clouds[J]. The Journal of Supercomputing, 2017, 73(2): 782-809. (中科院3区，IF:2.474)
王宏杰, 滕飞*, 李天瑞. 模块度引导下的社区发现增量学习算法[J]. 计算机科学与探索, 2017, 11(04):556-564.(CCF计算领域T2类)
杜圣东, 杨燕, 滕飞. 交通大数据:一种基于微服务的敏捷处理架构设计[J]. 大数据, 2017, 3(03):53-67.(CCF计算领域T2类)
Lei Yu, Fei Teng*, Frederic Magoules: Node scaling analysis for power-aware real-time tasks scheduling[J]. IEEE Transactions on Computers, 2016, 65(8): 2510-2521.(中科院2区，IF:2.663)
胡伟健, 滕飞*, 李灵芳,等. 适应用户兴趣变化的改进型协同过滤算法[J]. 计算机应用, 2016, 36(8):2087-2091.(CCF计算领域T2类)
邓聃婷, 滕飞*, 杨燕. 云计算平台中面向车联网应用的能耗感知调度算法[J]. 计算机科学, 2016, 43(3):44-48.(CCF计算领域T2类)
王韬，杨燕，滕飞，冯晨菲. 基于RDDs的分布式聚类集成算法[J]. 小型微型计算机系统, 2016, 37(7):1434-1439.(CCF计算领域T2类)
Fei Teng*, Hao Yang, Tianrui Li: MUS: a novel deadline-constrained scheduling algorithm for Hadoop[J]. International Journal of Computational Science and Engineering, 2015, 11(4): 360-367.
张钧波,李天瑞,潘毅,罗川,滕飞.云平台下基于粗糙集的并行增量知识更新算法[J].软件学报,2015,26(05):1064-1078.(CCF计算领域T1类)
Fei Teng, Frederic Magoules, Lei Yu, Tianrui Li: A novel real-time scheduling algorithm and performance analysis of a MapReduce-based cloud[J]. The Journal of Supercomputing, 2014, 69(2): 739-765.(中科院3区，IF:2.474)
Yan Yang, Tony Rutayisire, Chao Li, Tianrui Li, Fei Teng: An improved cop-kmeans clustering for solving constraint violation based on mapreduce framework[J]. Fundamenta Informaticae, 2013, 126(4): 301-318.(中科院4区，IF:1.333)
Frederic Magoules, Jie Pan, Fei Teng, Magoulès F, Pan J, Teng F. Cloud computing: Data-intensive computing and scheduling[M]. CRC press, 2012.
Earlier
Fei Teng, Yu L, Magoules F, et al. Reliability comparison of schedulability test in ubiquitous computing[C]// International Conference on Ubiquitous Intelligence and Computing. 2011:550-562.
Fei Teng, Yu L, Magoules F. Scheduling Performance of Real-Time Tasks on MapReduce Cluster[C]// International Conference on Human-Centric Computing. 2011:365-374.
Fei Teng, Yu L, Magoules F, et al. SimMapReduce: A Simulator for Modeling MapReduce Framework[C]// Ftra International Conference on Multimedia and Ubiquitous Engineering. 2011:277-282.
Fei Teng, Magoules F. Resource Pricing and Equilibrium Allocation Policy in Cloud Computing[C]// IEEE International Conference on Computer and Information Technology. 2010:195-202.
Fei Teng, Magoules F. A new game theoretical resource allocation algorithm for cloud computing[C]// International Conference on Advances in Grid and Pervasive Computing. 2010:321-330.
Fei Teng, Magoules F. Future of grids resources management[M]// Fundamentals of Grid Computing: Theory, Algorithms and Technologies. 2009:125-142.
International Conference:
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jianguang Lou, Fei Teng*, Dongmei Zhang : RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. International Joint Conference on Artificial Intelligence (IJCAI),2020:3616-3622.（CCF人工智能领域A类会议）
Jie Chen, Fei Teng*, Zheng Ma, Li Chen, Lufei Huang, Xuan Li: A Multi-channel Convolutional Neural Network for ICD Coding. IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2019:1178-1184.
Fei Teng, Meng Bai, Tianrui Li: Automatic Labeling for Gene-Disease Associations through Distant Supervision. IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2019:491-497.
Minbo Ma, Fei Teng*, Wen Zhong, Zheng MA: A Sentence-RCNN embedding model for Knowledge Graph Completion. IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2019:484-490.
Fei Teng, Minbo Ma, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li: A Text Annotation Tool with Pre-annotation Based on Deep Learning. 12th International Conference on Knowledge Science, Engineering and Management (KSEM),2019:440-451.（CCF人工智能领域C类会议）
Li Tang, Fei Teng*, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li: Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts. International Joint Conference on Neural Networks (IJCNN), 2019: 1-8.（CCF人工智能领域C类会议）
Shangming Ning, Fei Teng, Yunshu Li, Zhe Cui, Shengdong Du: RUPredHadoop: Resources Utilization Predictor for Hadoop with Large-Scale Clusters: The 6th CCF Conference on Big Data,2018:477-493.
Fei Lei, Lei Yu, Bing Shao, Fei Teng, Bo Zho: Large Scale Data Centers Simulation Based on Baseline Test Model[C]. IEEE International Parallel and Distributed Processing Symposium Workshops(IPDPS), 2018: 57-68.
Fei Teng, Rong Tang, Tianrui Li: Ego-clustering based propagation prediction of time series in social networks. 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2017:1-8.
Fei Teng, Rong Tang, Yan Yang, Hongjie Wang, Rongjie Dai: Temporal Prediction Model for Social Information Propagation. International Joint Conference on Rough Sets(IJCRS),2017:465-476.
Fei Teng, Lei Yu, Tianrui Li: Node Scaling Scheduling of Real-Time Tasks in a Power-Aware Datacenter. IEEE International Conference on High Performance Computing and Communications (HPCC),2015:96-101.
Fei Teng, Rongjie Dai, Hongjie Wang, Xiaoliang Fan: Accelerating Link Community Detection in Social Networks. IEEE International Conference on Cloud Computing and Big Data(CCBD), 2015: 119-126.
Chaotian Wu, Tianrui Li, Fei Teng, Xindi Chen: An Improved PSO Algorithm for Community Detection. 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2015:138-143.
Fei Teng, Danting Deng, Lei Yu, Frederic Magoules: An energy-efficient VM placement in cloud datacenter. International Conference on High Performance and Communications (HPCC),2014:173-180.
Junbo Zhang, Tianrui Li, Fei Teng, Chuan Luo: GMAPREDUCE: A Self-apaption MapReduce Framwork Based on Granular Computing. International Flins Conference,2014:639-644.
Qi Zhang, Yan Yang, Hongjun Wang, Fei Teng: A Framework for Overlapping Clustering. International Flins Conference,2014:500-505.
Fei Teng, Hao Yang,Tianrui Li,Yan Yang, Zhao Li: Scheduling real-time workflow on MapReduce-based cloud. International Conference on Innovative Computing Technology(INTECH),2013:117-122.
Xiaoliang Fan, Fei Teng, Haiwu He: Designing Contextualized Workflows in the Cloud.International Conference on Advanced Cloud and Big Data(CBD),2013:1-7.
Fei Teng, Lei Yu, Frederic Magoules: Reliability comparison of schedulability test in ubiquitous computing. International Conference on Ubiquitous Intelligence and Computing(UIC),2011:550-562.
Fei Teng, Lianbo Yu, Frederic Magoules: Scheduling Performance of Real-Time Tasks on MapReduce Cluster. International Conference on Human-Centric Computing(HumanCom),2011:365-374.
Fei Teng, Lianbo Yu, Frederic Magoules: SimMapReduce: A Simulator for Modeling MapReduce Framework. Ftra International Conference on Multimedia and Ubiquitous Engineering(MUE),2011:277-282.
Fei Teng, Frederic Magoules: Resource Pricing and Equilibrium Allocation Policy in Cloud Computing. IEEE International Conference on Computer and Information Technology(CIT),2010:195-202.
Fei Teng, Frederic Magoules: A new game theoretical resource allocation algorithm for cloud computing. International Conference on Grid and Pervasive Computing(GPC),2010:321-330.
Principal Investigator：
Multimodal Data Fusion Screening System for Sleep Disorder Diseases, Sichuan International Science and Technology Innovation Cooperation Project, 2022.01-2023.12, in research;
Deep collaborative integration and intelligent dispatching technology for port big data, Key Research and Development Project of Sichuan Province, 2022.01-2023.12, in research;
Demonstration of CT contrast agent intelligent application system based on cognitive intelligence, Sichuan Province Key Research and Development Project, 2021.4-2023.3, in research;
The prevention and treatment model and platform of cardio-cerebrovascular comorbidities based on AIoT, Key Research and Development Project of Sichuan Province, 2021.4-2023.3, in research;
Data-driven rational protein nutrition model for critically ill patients, a special research project on basic research and cultivation of basic scientific research business expenses for central universities, 2020.12-2022.11, in research.
Multi-core Value Network Theory and Collaboration Method, National Key R&D Program Project, 2019.6-2023.5, in research.
Energy Consumption Optimization Mechanism of Edge Computing for the New Generation of Industrial Internet System, Sichuan Science and Technology Planning Project, 2019.1-2020.12, presided over.
Key technologies of cloud platform for railway survey and design, national platform open fund project, 2017.9.1-2018.6.30, presided over.
Energy Consumption Management Technology of Green Data Center, Sichuan Science and Technology Planning Project, 2016.1.1-2017.12.31, presided over.
Reliability optimization method based on disaster tolerance cloud, national platform open fund project, 2014.7.1-2016.6.30, presided over.
Fault-tolerant technology of real-time operations in cloud computing environment, Visiting Scholar Project of Key Laboratory of Ministry of Education, 2014.6.1-2016.5.31, presided over.
Scheduling model and algorithm for real-time services of cloud computing, National Natural Science Foundation of China, 2013.1.1-2015.12.31, presided over.
Energy Consumption Optimization and Intelligent Scheduling Methods of Cloud Computing Center, Chengdu Weishitong Information Industry Co., Ltd., 2018.12-2020.12, presided over.
Co-Investigator
Large-scale medical knowledge graph research and application demonstration for medical supervision, Sichuan Province Key R&D Program Project, 2020.1-2021.12, participation (2/4)
Innovative demonstration application of medical consortium and family doctor service model based on cloud computing, Sichuan Province Science and Technology Plan Project, 2018.1–2021.12, participation (2/3), in research.
Regional integrated technology service engineering application integration technology research, national science and technology plan project, 2017.12-2020.11, participation (16/19), in research.
Summary of high-speed railway engineering technology: high-speed railway big data technology, projects of various national ministries and commissions, 2019.4-2020.6, participation (3/6).
The construction of collaborative innovation system for the integrated platform of science and technology cloud service, the national science and technology service industry innovation pilot project, 2014.10-2020.1, participation (2/4).
Comprehensive Indicators of High-speed Railway Disaster Early Warning under the Conditions of Multi-network Integration Based on Big Data, Sichuan Science and Technology Planning Project, 2018.6-2020.5, participation (4/4).
Technology business cloud service platform research and development and application demonstration, national science and technology plan project, 2015.7–2017.12, participation (4/11).
(1) Medical informatics
(2) Cloud computing
(3) Industrial big data mining
(4) Distributed system optimization
The Last Update Time : ..
