博士生导师
硕士生导师
个人信息Personal Information
教师英文名称:Teng fei
学历:博士研究生毕业
主要任职:Head of the Department of Artificial Intelligence
毕业院校:法国巴黎中央理工大学
学科:计算机科学与技术
报考该导师研究生的方式
欢迎你报考滕飞老师的研究生,报考有以下方式:
1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择滕飞老师,你的所有申请信息将发送给滕飞老师,老师看到后将和你取得联系,点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请滕飞老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为滕飞老师,老师看到信息后将和你取得联系,点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考滕飞老师招收的专业和方向,进入复试后提交导师意向时选择滕飞老师。
4、如果你有兴趣攻读滕飞老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。
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授权专利:
[1] 一种医疗文本编码方法、装置、设备及可读存储介质,发明专利,中国,ZL202210169875.9
[2] 一种应用于医学文本的实体关系自动标注方法, 发明专利,中国,ZL 202010151091.4
[3] 一种基于表示学习的医学知识图谱实体对齐方法,发明专利,中国,ZL202010151549.6
[4] 一种基于知识图谱的电子病历ICD自动编码方法, 发明专利,中国,ZL202010156828.1
[5] 一种面向医学文本的实体关系联合抽取方法, 发明专利,中国,ZL202010156316.5
[6] 一种基于网格索引的并行化高速铁路勘测数据检索方法, 发明专利,中国,ZL201910602205.X
[7] 基于神经网络的知识图谱补全方法, 发明专利,中国,ZL201910663022.
[8] 基于数据并行的时间序列分析方法与系统, 发明专利,中国,ZL201710771475.4
[9] 一种基于微操作的Hadoop参数自动调优方法, 发明专利,中国,ZL201810426699.6
[10] 睡眠呼吸事件预测方法、装置、设备及可读存储介质,发明专利,中国,ZL202210812071.6
[11] 一种基于3D反卷积的出行需求预测方法,发明专利,中国,ZL202110091885.0
[12] 一种基于时间区间的螺旋图可视化曲线绑定方法,发明专利,中国,ZL201810328080.1
[13] 基于融合注意力的医疗命名实体识别建模方法,发明专利,中国,ZL202110927320.1
[14] 基于出行事件知识图谱的区域交通拥堵溯因方法,发明专利,中国,ZL202111224111.7
[15] 基于数据融合和知识图谱嵌入的城市流量模式挖掘方法,发明专利,中国,ZL202010878028.0
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2024:
[1] Fei Teng, Quanmei Zhang, Xiaomin Zhou, Jie Hu, Tianrui Li, Few-shot ICD coding with knowledge transfer and
evidence representation, Expert Systems with Applications, 2024, 238: 121861.
[2] Juan Chen, Jie Hu, Tianrui Li, Fei Teng, Shengdong Du, An effective relation-first detection model for relational triple
extraction, Expert Systems with Applications, 2024, 238: 122007.
[3] Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng*, Peng Han, Zhiqiang Xu, Tianrui Li. Learning Time-aware Graph
Structures for Spatially Correlated Time Series Forecasting. arXiv preprint arXiv:2312.16403, 2023.(ICDE)
2023:
[1] Fei Teng , Yunlong Zhu, Enming Zhang , Xiaopeng Hu , Qibo Sunb, Haibo Zhang, Li Feng: A knowledge service
framework for fault diagnosis of low-earth orbit satellite constellation. Proceedings of the 2023 IEEE International
Conference on Web Services (ICWS).
[2] Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng. Collaborative Learning With Heterogeneous
Local Models: A Rule-Based Knowledge Fusion Approach[J]. IEEE Transactions on Knowledge and Data Engineering,
2023. doi: 10.1109/TKDE.2023.3341808.
[3] Minbo Ma, Peng Xie, Fei Teng, Tianrui Li, Bin Wang, Shenggong Ji, Junbo Zhang. HiSTGNN: hierarchical
spatio-temporal graph neural network for weather forecasting[J]. Information Sciences,2023,648:119580.
[4] Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang. A missing value filling model based on feature fusion
enhanced autoencoder[J]. Applied Intelligence,2023,14(5):1-16.
[5] Chenbing Li, Jie Hu, Tianrui Li, Shengdong Du, Fei Teng. An effective multi-task learning model for end-to-end
emotion-cause pair extraction[J]. Applied Intelligence,2023,53(3):3519-3529.
[6] Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du. Text semantic matching with an enhanced sample building
method based on contrastive learning[J]. International Journal of Machine Learning and Cybernetics, 2023: 1-8.
[7] Wenwen Liu, Jie Hu, Shengdong Du, Hongmei Chen, Fei Teng. A method of sharing sentence vectors for opinion
triplet extraction[J]. Neural Processing Letters, 2023, 55(1): 751-772.
[8] Lei Yu, Tianqi Zhong, Peng Bi, Lan Wang, Fei Teng. Segment based power-efficient scheduling for real-time DAG
tasks on edge devices[J]. Parallel Computing,2023,116:103022.
[9] Qiaozhi Hu, Fangyuan Tian, Zhaohui Jin, Gongchao Lin, Fei Teng. Developing a Warning Model of Potentially
Inappropriate Medications in Older Chinese Outpatients in Tertiary Hospitals: A Machine-Learning Study[J]. Journal
of Clinical Medicine, 2023, 12(7): 2619.
[10] Zeyang Zhang, Xingwang Li, Fei Teng, Ning Lin, Xueling Zhu, Xin Wang, Wenwu Zhu. Out-of-distribution
generalized dynamic graph neural network for human albumin prediction. arXiv preprint arXiv:2311.15545, 2023.(MedAI)
[11] 林工钞,滕飞*,胡巧织,金朝辉,徐珽,Haibo Zhang.基于知识图谱的潜在不适当用药预测[J].四川大学学报(医学版),2023,54(05):884-891.
2022:
[1] Fei Teng, Jian Teng, Lu Qiao, Shengdong Du, Tianrui Li. A multi-step forecasting model of online car-hailing
demand[J]. Information Sciences,2022,587(6):572-586.
[2] 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,2022,35(5):4357-4375.
[3] 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,2022,29(3):48-56.
[4] 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).
[5] 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.
[6] Ying Pang, Haibo Zhang*, Jeremiah D. Deng, Lizhi Peng, Fei Teng: Rule-based collaborative learning with
heterogeneous local learning models. Proceedings of the 26 thPacific-asia Conference on Knowledge Discovery
and Data Mining (PAKDD),2022:639-651.
2021:
[1] 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.
[2] 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.
[3] Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng. An overview of air quality analysis by big data
techniques: monitoring, forecasting, and traceability[J]. Information Fusion,2021,75:28-40.
[4] 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.
[5] 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.
2020:
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.Proceedings of the Twenty-Ninth International Joint
Conference on Artificial Intelligence (IJCAI),2020:3616-3622.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
更早以前:
[1] 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.
[2] Fei Teng, Meng Bai, Tianrui Li: Automatic labeling for gene-disease associations through distant supervision.
Proceedings of the 14th International Conference on Intelligent Systems and Knowledge Engineering (IEEE ISKE),2019:491-497.
[3] Fei Teng*, Minbo Ma, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li: A text annotation tool with pre-annotation
based on deep learning. Proceedings of the12th International Conference on Knowledge Science, Engineering and
Management (KSEM),2019:440-451.
[4] Li Tang, Fei Teng*, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li: Convolutional LSTM network with hierarchical
attention for relation classification in clinical texts. Proceedings of theInternational Joint Conference on Neural
Networks (IJCNN),2019:1-8.
[5] 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.
[6] 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.
[7] 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.
[8] Fei Teng, Rong Tang, Tianrui Li: Ego-clustering based propagation prediction of time series in social networks.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2017:1-8.
[9] Fei Teng*, Rong Tang, Yan Yang, Hongjie Wang, Rongjie Dai: Temporal prediction model for social information
propagation. Proceedings of the International Joint Conference on Rough Sets (IJCRS),2017:465-476.
[10] 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.
[11] Lei Yu, Fei Teng, Frederic Magoules. Node scaling analysis for power-aware real-time tasks scheduling[J].
IEEE Transactions on Computers,2015,65(8): 2510-2521.
[12] Fei Teng, Lei Yu, Tianrui Li: Node scaling scheduling of real-time tasks in a power-aware datacenter. Proceedings
of the 17th International Conference on High Performance Computing and Communications (IEEE HPCC),2015:96-101.
[13] 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.
[14] 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.
[15] Fei Teng, Danting Deng, Lei Yu, Frederic Magoules: An energy-efficient VM placement in cloud datacenter.
Proceedings of International Conference on High Performance and Communications (HPCC),2014:173-180.
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主持项目:
[1] 融合临床大数据的心理生理语义表征与情感障碍智能辨识方法研究,国家自然科学基金面上项目,2023.01-2026.12,主持,在研。
[2] 面向云计算实时服务的调度模型与算法研究,国家自然科学基金青年项目,2013.1-2015.12,主持。
[3] XXXX智能化语义协同技术研究,GF人工智能重大专项课题,2023.11-2026.10,主持,在研。
[4] 多模态CT影像质量评价和识别技术研究与应用,四川省重点研发项目,2023.01-2024.12,合作方负责人,在研。
[5] 基于密态知识图谱的敏感信息保护技术,保密通信国防重点实验室基金,2022.11-2024.10,主持,在研。
[6] 数据驱动的高速列车在途故障识别模型与方法,河北省自然科学基金,2022.01-2024.12,主持,在研。
[7] 多模态数据融合的睡眠呼吸障碍疾病筛查系统研究与应用,四川省国际科技创新合作项目,2022.01-2023.12,主持。
[8] 面向港口大数据的深度协同融合与智能调度技术研究及应用,四川省重点研发项目,2022.01-2023.12,合作方负责人。
[9] 基于认知智能的CT对比剂智能应用系统研发与应用示范, 四川省重点研发项目,2021.4-2023.3,合作方负责人。
[10] 基于AIoT的心脑血管共病防治模式与平台研究,四川省重点研发项目,2021.4-2023.3,合作方负责人。
[11] 多核价值网理论及协同方法,国家重点研发计划课题,2019.6-2023.5,合作方负责人。
[12] 面向新一代工业互联网体系的边缘计算能耗优化机制研究,四川省科技计划项目,2019.1-2020.12,主持。
[13] 绿色数据中心能耗管理技术研究,四川省科技计划项目,2016.1-2017.12,主持。