王晶

博士、副教授、博士生导师

基本信息

办公电话:010-51688648 电子邮件: wj@bjtu.edu.cn
通讯地址:北京海淀区北京交通大学第9教学楼 邮编:100044

研究兴趣

本人的主要研究兴趣如下:

· 时间序列分析与挖掘(Time Series Analysis and Mining)

· 机器学习及其在医疗、交通、金融大数据的应用(Machine Learning and its Applications)

· 异常检测(Anomaly Detection)

· 脑机接口(Brain Computer Interface

相关研究目前已在ICDE、ACM MM、IJCAI、ECML-PKDD、ICASSP、ICDM等学术会议和TNSRE、TIM、SPL、Neurocomputing、Chaos、Fractals、Physical Review E、Nonlinear Dynamics、CNSNS、CMPB、CBM、Physica A等国际学术期刊发表学术论文50余篇。获授权发明专利8项。

欢迎准备报考/推免 硕士研究生、博士研究生的同学与我联系!

欢迎对我们研究方向感兴趣的本科生联系参加大创或者科学研究

欢迎访问团队“北京交通大学网络科学与智能系统研究所”主页:http://insis.bjtu.edu.cn/

教育背景

2005/9–2009/7,北京交通大学,信息与计算科学,学士

2009/9–2012/7,北京交通大学,概率论与数理统计,硕士,导师:商朋见 教授

2012/9–2015/7,北京交通大学,统计学,博士,导师:商朋见 教授

2013/9-2014/8,美国哈佛大学,哈佛医学院,Center of Dynamical Biomarkers,博士联合培养,指导导师:Chung-Kang Peng

工作经历

2015/06-2017/06,北京交通大学,计算机科学与技术系,博士后,合作导师:林友芳 教授

2017/07-2018/12,北京交通大学,计算机科学与技术学院,讲师,硕士生导师

2018/12-至今,       北京交通大学,计算机科学与技术学院,副教授,博士生导师

研究方向

  • 数据与知识工程
  • 人工智能及应用
  • 计算机技术
  • 软件工程
  • 人工智能
  • 网络与信息安全
  • 大数据技术与工程
  • 机器学习与认知计算

招生专业

  • 计算机科学与技术硕士
  • 计算机技术硕士
  • 软件工程硕士
  • 人工智能硕士
  • 网络与信息安全硕士
  • 大数据技术与工程硕士
  • 计算机科学与技术博士

科研项目

主持或参与的部分科研项目如下:
  • 中国航信企业委托研究项目,应用监控智能算法研究课题,2023-2024,在研;
  • 中央高校基本科研业务费项目,生理时间序列分类方法的可靠性与稳定性研究,2023-2025,在研;
  • 国家重点研发计划-任务,多场耦合作用下的孪生体动态建模,2021-2026,在研;
  • 国家自然科学基金“重点”项目,面向社会热点事件感知的异构多源社会媒体大数据分析,2019-2023,结题;
  • 国防创新项目,融合***知识的****生成关键技术,2021-2024,结题;
  • CCF-腾讯犀牛鸟创意基金,知识驱动的异常心跳诊断可解释性研究及量化方法,2022-2023,结题;
  • 红果园省部级企事业项目,数据驱动的电机建模及状态预测,2021-2022,结题;
  • 中央高校基本科研业务费项目,脑电信号的时-频-空多维度学习,2021-2023,结题;
  • 中国航信企业委托研究项目,面向民航业务系统运维的多重周期时间序列数据异常检测方法研究,2019-2022,结题;
  • 红果园国家级"四总部",基于时序数据模型的船舶设备异常检测与健康评估技术研究,2019-2022,结题;
  • 国家自然科学基金“面上”项目,非平稳信号高阶矩的多尺度大偏差谱研究,2018-2021,结题;
  • 国家经济安全预警工程北京实验室项目,基于大数据的国家经济时序异常行为检测方法研究,2019-2020,结题;
  • 教育部-中国移动科研基金项目,实时交通准确率提升,2019-2020,结题;
  • 北京交通大学人才基金项目,时间序列动态特征的定量刻画及其应用,2018-2020,结题;
  • 中国航信企业委托研究项目,航信数据中心服务器应用网络发现及结构与健康分析系统,2016-2021,结题;
  • 国家自然科学基金青年基金项目,基于非均匀嵌入理论的多变量信号复杂性与递归性研究,2017-2019,结题;
  • 中央高校基本科研业务费项目,非平稳时序的复杂动态性理论研究及其应用,2016-2017,结题;
  • 中国博士后基金项目,非平稳信号的复杂度和递归性研究及其应用,2015-2017,结题;
  • 中国航信企业委托研究项目,事件对民航需求的影响及预测模型研究项目,2015-2017,结题。

教学工作

研究生课程

《时间序列数据分析挖掘》(课程负责人)

    每年春秋两学期均开课,其中春季学期均为平台课(面向全校本研同学);

    秋季学期有平台课(面向全校本研同学)和专业课(面向计算机学院同学)

数据科学前沿理论与技术(部分课程)

智能医学前沿理论与技术(部分课程)

《机器学习》

本科生课程

《机器学习》

论文/期刊

期刊论文:
  1. Yifei Chen, Jing Wang*, Youfang Lin. Inferring causality from mapping continuity changes. Nonlinear Dynamics, 2024, 1-18. (SCI-An2) [URL: https://link.springer.com/article/10.1007/s11071-024-09398-x]
  2. Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia*, MetaEmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network with Meta-learning for EEG Emotion Recognition, IEEE Transactions on Instrumentation & Measurement 2023 (Accepted, TIM, SCI-An2)
  3. Xiyuan Jin, Jing Wang*, Lei Liu, Youfang Lin, Uncertainty-aware Denoising Network for artifact removal in EEG signals, IEEE Transactions on Neural Systems & Rehabilitation Engineering 2023, 31: 4470-4480 (TNSRE, SCI-An2)
  4. Xiyuan Jin, Jing Wang, Shengnan Guo*, Tonglong Wei, Yiji Zhao, Youfang Lin, Huaiyu Wan, Spatial-Temporal Uncertainty-Aware Graph Networks for Promoting Accuracy and Reliability of Traffic Forecasting, Expert Systems with Applications 2023, 238: 122143 (ESWA, SCI-An1)
  5. Yunfei Bai, Jing Wang*, Xueer Zhang, Xiangtai Miao, Youfang Lin, CrossFuN: Multi-View Joint Cross Fusion Network for Time series Anomaly Detection, IEEE Transactions on Instrumentation & Measurement 2023, 72: 1-9. (TIM, SCI-An2)
  6. Jiaoxue Deng, Youfang Lin, Xiyuan Jin, Xiaojun Ning, Jing Wang*, Multi-view Consistency Contrastive Learning with Hard Positives for Sleep SignalsIEEE Signal Processing Letters, 2023, 30: 1102-1106 (SPL, SCIE-An2)
  7. Zhaoyang Ma, Jing Wang*, Jinghang Yue, Youfang Lin, A homologous and heterogeneous multi-view inter-patient adaptive network for arrhythmia detection, Computer Methods and Programs in Biomedicine, 2023, 241: 107740. (CMPB, SCI-An2)
  8. Jing Wang, Shikuan Shao, Yunfei Bai, Jiaoxue Deng, Youfang Lin. Multi-Scale Wavelet Graph AutoEncoder for Multivariate Time Series Anomaly Detection. IEEE Transactions on Instrumentation & Measurement, 2022, 72,  2502911: 1-11. (IEEE TIM, SCI-An2) [Code: https://github.com/jingwang2020/MEGA]
  9. Yujin Chen, Jing Wang*, Zhihao Wu, Youfang Lin, Integrating User-Group Relationships under Interest similarity constraints for Social RecommendationKnowledge-Based Systems 2022 (249): 108921. (KBS, SCIE-An1)
  10. Chenbin Ma, Haoran Xu, Muyang Yan, Jie Huang, Wei Yan, Ke Lan, Jing Wang*, Zhengbo Zhang*, Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment, Frontiers in Physiology 2022 (13): 1-13. (SCIE-An2).
  11. Jianan Ye, Qinfeng Xiao, Jing Wang*, Hongjun Zhang, Jiaoxue Deng, Youfang Lin, CoSleep: A Multi-view Representation Learning Framework for Self-Supervised Learning of Sleep Stage ClassificationIEEE Signal Processing Letters 29 (2021): 189-193. (SPL, SCIE-An2)
  12. Ziyu Jia, Youfang Lin, Jing Wang*, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Li-wei Lehman, Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification, IEEE Transactions on Neural Systems & Rehabilitation Engineering 29 (2021): 1977-1986 (TNSRE, SCIE-An1).
  13. Yunxiao Liu, Youfang Lin, Qinfeng Xiao, Ganghui Hu, Jing Wang*, Self-adversarial variational autoencoder with spectral residual for time series anomaly detection, Neurocomputing 458-11 (2021) 349-363. (SCIE-An2)
  14. Yunxiao Liu, Youfang Lin, Ziyu Jia, Yan Ma, Jing Wang*, A new dissimilarity measure based on ordinal pattern for analyzing physiological signals, Physica A: Statistical Mechanics and its Applications 574 (2021),125997. (SCIE-An2)
  15. Qinfeng Xiao, Jing Wang*, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang. Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble[J]. Entropy, 2021, 23(2): 201. (SCIE-An3)
  16. Yunxiao Liu, Youfang Lin, Ziyu Jia, Yan Ma, Jing Wang*Representation based on ordinal patterns for seizure detection in EEG signalsComputers in Biology and Medicine 126 (2020) 104033. (SCIE-An2)
  17. Ziyu Jia, Youfang Lin, Yunxiao Liu, Zehui Jiao, and Jing Wang*, Refined nonuniform embedding for coupling detection in multivariate time series, Physical Review E  101 (2020) 062113.SCIE-An2
  18. Ziyu Jia, Youfang Lin, Zehui Jiao, Yan Ma, Jing Wang*, Detecting Causality in Multivariate Time Series via Non-Uniform Embedding, Entropy 21(12) (2019): 1233. (SCIE-An3)  [Full text]
  19. Lei Wang, Youfang Lin, Jing Wang*, A RR interval based automated apnea detection approach using residual network, Computer methods and programs in biomedicine 176 (2019): 93-104. (SCIE-An2)
  20. Jiayi He, Pengjian Shang, Jing Wang*, A complexity measure for heart rate signals, Physica A: Statistical Mechanics and its Applications 533 (2019) 122054. (SCIE-An3)
  21. Yunxiao Liu, Youfang Lin, Jing Wang*, Pengjian Shang, Refined generalized multiscale entropy analysis for physiological signals, Physica A: Statistical Mechanics and its Applications 490 (2018) 975-985. (SCIE-An2)
  22. Hui Xiong, Pengjian Shang, Jianan Xia, Jing Wang, Time irreversibility and intrinsics revealing of series with complex network approach, Physica A: Statistical Mechanics and its Applications, 499 (2018) 241-249. (SCIE-An3)
  23. Xuegeng Mao, Pengjian Shang, Jing Wang and Yan Ma, Characterizing time series by extended complexity-entropy curves based on Tsallis, Rényi, and power spectral entropy, Chaos: An Interdisciplinary Journal of Nonlinear Science 28, 113106 (2018). (SCIE-An1)
  24. Jing Wang, Pengjian Shang, Wenbin Shi, Xingran Cui, Dissimilarity Measure Based on Ordinal Pattern for Physiological signals. Communications in Nonlinear Science and Numerical Simulation 37 (2016) 115-124.SCIE-An1
  25. Jianan Xia, Pengjian Shang, Jing Wang, Wenbin Shi. Permutation and weighted-permutation entropy analysis for the complexity of nonlinear time series. Communications in Nonlinear Science and Numerical Simulation 2016, 31(1): 60-68.SCIE-An1
  26. Zhihao Wu, Youfang Lin, Jing Wang, Steve Gregory. Efficient Link Prediction with Node Clustering Coefficient. Physica A: Statistical Mechanics and its Applications. 452(15): 1-8, 2016. (SCIE-An2)
  27. Wenbin Shi, Pengjian Shang, Jing Wang, Large deviations estimates for the multiscale analysis of traffic speed time series, Physica A: Statistical Mechanics and its Applications 421 (2015) 562-570.SCIE-An2
  28. Jing Wang, Pengjian Shang, Jianan Xia, Wenbin Shi, EMD based refined composite multiscale entropy analysis of complex signals, Physica A: Statistical Mechanics and its Applications 421 (2015) 583-593.SCIE-An2
  29. Jing Wang, Pengjian Shang, Xingran Cui, Multiscale multifractal analysis of traffic signals to uncover richer structures, Physical Review E 89 (2014) 032916.SCIE-An2
  30. Jing Wang, Pengjian Shang, Aijing Lin, Yuechen Chen, Segmented Inner Composition Alignment to detect coupling of different subsystems, Nonlinear Dynamics 76 (2014) 1821-1828. SCIE-An1
  31. Xiaojun Zhao, Pengjian Shang, Jing Wang, Measuring the asymmetric contributions of individual subsystems, Nonlinear Dynamics 78:2 (2014) 1149-1158. SCIE-An1
  32. Wenbin Shi, Pengjian Shang, Jing Wang, Aijin Lin, Multiscale multifractal detrended cross-correlation analysis of financial time series, Physica A: Statistical Mechanics and its Applications 403 (2014) 35-44.SCIE-An2
  33. Jianan Xia, Pengjian Shang, Jing Wang, Wenbin Shi, Classifying of financial time series based on multiscale entropy and multiscale time irreversibility, Physica A: Statistical Mechanics and its Applications 400 (2014) 151-158. SCIE-An2
  34. Jing Wang, Pengjian Shang, Keqiang Dong, Effect of linear and nonlinear filters on multifractal analysis, Applied Mathematics and Computation 224 (2013) 337-345. SCIE-An2
  35. Jing Wang, Pengjian Shang, Xiaojun Zhao, Jianan Xia, Multiscale entropy analysis of traffic time series, International Journal of Modern Physics C 24:2 (2013) 1350006.SCIE-An3
  36. Xiaojun Zhao, Pengjian Shang, Jing Wang, Measuring information interactions on the ordinal pattern of stock time series, Physical Review E 87 (2013) 002800.SCIE-An2
  37. Jianan Xia, Pengjian Shang, Jing Wang, Estimation of local scale exponents for heartbeat time series based on DFA, Nonlinear Dynamics 74:4 (2013) 1183-1190. SCIE-An2
  38. Jing Wang, Pengjian Shang, Weijie Ge, Multifractal Cross-Correlation Analysis Based on Statistical Moments, Fractals 20:3 (2012) 271-279. SCIE-An1ESI高被引论文
  39. Xiaojun Zhao, Pengjian Shang, Chuang Zhao, Jing Wang, Rui Tao, Minimizing the trend effect on detrended cross-correlation analysis with empirical mode decomposition, Chaos, Solitons & Fractals 45 (2012) 166–173.SCIE-An3
  40. Chongfeng Xue, Pengjian Shang, Jing Wang, Multifractal detrended cross-correlation analysis of BVP model time series, Nonlinear Dynamics 69 (2012) 263-273.SCIE-An1
  41. Jing Wang, Pengjian Shang, Xiaojun Zhao, A New Traffic Speed Forecasting Method Based On Bi-pattern Recognition, Fluctuation and Noise Letters 10:1 (2011) 59-75. SCIE-An4

会议论文:

  1. Taoming Wang*, Jing Wang, Wenqing Guan, Chunqiang Liu, Yifei Chen, Zhe Chen, Guangzhao Luo, Data-Driven Based Hybrid Predictive Model for the PMSM Drive System, 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) . IEEE, 2023: 1-6.
  2. Ziyu Jia, Youfang Lin, Yuhan Zhou, Xiyang Cai, Peng Zheng, Qiang Li, Jing Wang*, Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Graph Neural Network, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023: 1-5..  (CCF B).
  3. Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin*, A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability, The 39th IEEE International Conference on Data Engineering (ICDE), 2023. (CCF A)
  4. Wei Xu, Jing Wang*, Ziyu Jia, Zhiqing Hong, Yunze Li, Youfang Lin, Multi-level spatial-temporal adaptation network for moter imagery classification, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022: 1251-1255. (CCF B).
  5. Hongjun Zhang, Jing Wang, Jiahong Xiong, Yuxuan Ding, Zhenliang Gan, Youfang Lin, Expert Knowledge Inspired Contrastive Learning for Sleep Staging, 2022 International Joint Conference on Neural Networks (IJCNN), accepted. (CCF C)
  6. Xiaoyu Wang, Jing Wang, Jingren Hou, Mingyang Song, Wei Xu, Jian Li, Liping Jing*, TraNet:A Hybrid Deep Neural Network for Long-time-scale Aircraft Trajectory Prediction, 2022 Internatinal Conference on Guidance,Navigation and Control (ICGCN),accepted.
  7. Ziyu Jia; Youfang Lin; Jing Wang*; Zhiyang Feng; Xiangheng Xie; Caijie Chen, HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition (oral), Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021: 1047-1056. (CCF A)
  8. Ziyu Jia, Youfang Lin, Jing Wang*, Xuehui Wang, Peiyi Xie, Yingbin Zhang, SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging, International Joint Conference on Artificial IntelligenceIProc. of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021: 2614-2620. (CCF A)
  9. Qinfeng Xiao, Jing Wang*, Jianan Ye, Hongjun Zhang, Yuyan Bu, Yiqiong Zhang, Hao Wu, Self-supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, 1290-1294.(CCF-B
  10. Sawenbo Gong, Zhihao Wu, Yunxiao Liu, Jing Wang*, A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection, International Conference on Neural Information Processing (ICONIP) 2021: 681-692. (CCF-C)
  11. Ganghui Hu, Jing Wang*, Yunxiao Liu, Wang Ke, Youfang Lin, CCAD: A Collective Contextual Anomaly Detection Framework for KPI Data Stream, International Conference on Neural Information Processing (ICONIP) 2021: 456-463. (CCF-C)
  12. Zhenqi Li, Jing Wang, Ziyu Jia*, Youfang Lin, Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification, 2020 IEEE International Conference on Data Mining (ICDM), 2020, 1124-1129. (CCF B)
  13. Ziyu Jia, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Jing Wang*SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition28th ACM International Conference on Multimedia (ACM MM), 2020: 2909-2917 (CCF A)
  14. Ziyu Jia, Youfang Lin, Jing Wang*, Kaixin Yang, Tianhang Liu and Xinwang Zhang, MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery ClassificationThe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020) ,Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Springer International Publishing, 2021: 736-751.  (CCF B)
  15. Ziyu Jia, Youfang Lin, Jing Wang*, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao, GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationIProc. of the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020, 1324-1330CCF A)[PDF]
  16. Liangjie Wei, Youfang Lin, Jing Wang*, Yan Ma, Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG29th International Conference on Tools with Artificial Intelligence (ICTAI), Boston, MA, USA, 2017.11.06-11.08. (CCF C)  [PDF]

中文期刊:

  1. 时旺军,王晶,宁晓军,林友芳,小样本场景下的元迁移学习睡眠分期模型,计算机应用,2023,接收(CCF-T2)
  2. 岳景杭,王晶,施宇星,马朝阳,林友芳,面向时间序列分析的深度学习模型可解释性研究综述,南京师范大学学报(工程技术版),2023,接收. (CSCD)
  3. 宋钰丹, 王晶, 王雪徽, 马朝阳, 林友芳. 基于自适应多任务学习的睡眠生理时序分类方法. 计算机应用, 接收, 2023. (CCF-T2)
  4. 陈昱瑾; 王晶; 赵耀帅*; 武志昊; 林友芳, 基于图卷积网络融合群组关系的社会化推荐方法研究,计算机工程 49(5) (2023): 112-121. (CSCD,CCF-C)
  5. 张亚飞; 王晶; 赵耀帅*; 武志昊; 林友芳, 融合市场动态层次宏观信息的股票趋势预测, 计算机应用  43(5) (2023): 1378-1384. (CSCD,CCF-C)
  6. 李珍琦,王晶*,贾子钰,林友芳,融合注意力的多维特征图卷积运动想象分类计算机科学与探索 16(9) (2022): 2050-2060.(CCF-B)
  7. 邵世宽; 张宏钧; 肖钦峰; 王晶; 刘晓辉*; 林友芳, 基于无监督对抗学习的时间序列异常检测南京大学学报(自然科学版) 57(6) (2021): 1042-1052. (CSCD)
  8. 麻琛彬,张政波*,王晶基于深度学习的生理异常检测研究综述计算机工程与应用 57(10) (2021): 10-25. (CCF-C)
  9. 贾子钰; 林友芳; 张宏钧; 王晶*基于深度卷积神经网络的睡眠分期模型浙江大学学报 (工学版) 10 (2020): 1989-1905. (EI-An5)
  10. 贾子钰,林友芳,刘天航,杨凯昕,张鑫旺,王晶*, 基于多尺度特征提取与挤压激励模型的运动想象分类方法, 计算机研究与发展 57(12) (2020): 2481-2489. (CCF-A)


研究生培养

在读博士生:

岳景杭(2021级)

靳希源(2022级)

宁晓军(2023级)

马朝阳(2023级,联合指导)

李   达(2023级,联合指导)

贾倩茹(2024级,詹天佑)

欧小雨(2025级,詹天佑)

张艺轩(2026级,詹天佑)

在读硕士生:

2022级:张雪儿、王雪徽、冯志洋、苗祥泰、刘磊

2023级:辛天佐、张颖、张烁(联合指导)、钟超、熊琛、金麟琦

2024级:张绍琪、翟梦杰、张璐、聂士钦、张育玮


已毕业博士生:              

               贾子钰(联合指导,2018级博士),中科院自动化所,优秀博士论文

               刘云霄(联合指导,2017级博士),西安理工大学

已毕业硕士生:          

2024届:白云飞(2021级),淘天集团

               陈逸飞(2021级),上海交大

               邓娇雪(2021级,联合指导),中国人寿

               杜梦辉(2021级),美团

               苗祥泰(2022级),国家电网

2023届:徐   伟(2020级),兴业银行

               邵世宽(2020级),freewheel

               张宏钧(2020级),华为

               宋钰丹(2020级),光大银行

               马培滔(2020级),北航软件测评实验室

               吴   涛(2020级),北京智度

               时旺军(2021级),国家电网

               马朝阳(2021级),北交大读博,校优秀硕士论文

               李昀泽(2021级,联合指导),中国工商银行

               施宇星(2021级,联合指导),交通银行软件开发中心(深圳),校优秀硕士论文

2022届:胡港辉(2019级),字节

               贡萨雯波(2019级,联合指导),百度

               张亚飞(2019级),百度

               陈昱瑾(2019级),农行数据中心院优秀硕士论文

               叶佳楠(2019级),杭州浙商银行

               李文浩(2020级,联合指导),贝壳找房

               焦泽辉(2020级),美团

               罗雅文(2019级),中兴通讯

               李   昊(2019级),中国重汽

2021届:肖钦峰(2018级),小米校优秀硕士论文

               李珍琦(2018级),北京银行

               龚   焱(2018级),百度

2020届:李雅静(2016级,联合指导),国家开放大学,院优秀硕士论文

               王   磊(2017级),北京航空航天大学读博


本科生指导

毕设指导

2024届:贾倩茹(本校读博)、张绍琪(本校读研)、张璐(本校读研)、翟梦杰(本校读研)、张开元(清华大学读研)、陈佳木(约翰霍普金斯大学金融数学专业)

2023届:辛天佐、王海潮刘雨乘谢享亨刘昱辰、熊家鸿、刘瀚泽(联合指导)梁恒(联合指导)

2022届:王雪徽、冯志洋、张雪儿、蔡晞阳、洪芷晴、张歆宜、纪俊煜(联合指导)、吴普清(联合指导)、谢培义(联合指导)、张应宾(联合指导)

2021届:宁晓军、何远来、杨凯昕、刘天航、陈逸飞、白云飞、周荣昊(联合指导)、邓娇雪(联合指导)

2020届:徐伟(读研)、张宏钧(读研)、焦泽辉(读研)邵世宽(读研)时馨茹(出国:乔治城大学CS专业)、周雨豪(联合指导,腾讯)、臧千蓓(联合指导,工作)

2019届:胡港辉(读研)、李林蔚(出国:南加州大学)、臧泽华(工作)

2018届:陶勇(工作)

2016届:李雅静(读研)


本科生大创指导

2023年大创项目:

  • 赵丰铭、陈海容、郭昱哲,融合多模态数据的情绪识别方法研究,国家级
  • 刘畅、杨笑云、郝齐虎,基于时频挖掘与多任务学习的半监督多变量时间序列分类,北京市级
  • 杨钰洁、刘婵、刘怡然,实时情绪脑机接口系统的设计与实现,北京市级
  • 杨稀皓、邓浩阳、周晨阳,基于生理信号的睡眠分期方法研究,京市级
  • 王钰博、章亚彬、庞辛宜,基于深度学习的脑机接口系统鲁棒性研究,北京市级
  • 刘弈、孙艺悦、张映媛,基于深度学习的可解释多模态特征融合算法研究,北京市级
  • 秦怀禹、洪敬、王子扬,基于生理信号情绪识别的标签模糊问题研究,校级
  • 李书涵、李柯局、饶日迪,基于深度学习的BCI系统可解释性研究,校级
  • 王禹博、王成凯、吴桐,基于多模态生理信号的细粒度情绪识别方法研究,校级
  • 高屹东、张展斌、唐一钧,基于源空间的大脑状态分类方法研究,校级

2022年大创项目:

  • 陈佳木、郑建轩、刘思彤,融合行业市场信息的股票趋势预测,北京市级
  • 史亚赛、刘子豪、魏浩扬,患者间范式的心跳分类及其可解释性研究,校级
  • 王子扬、王是、张登甲,基于置信度校准的睡眠分期模型,校级
  • 汪静祎、陈益山、马飞龙,基于深度学习的睡眠自动分期可解释性研究,校级

2021年大创项目:

  • 王子轩、辛天佐、刘瀚泽,脑机接口系统的设计与实现,国家级
  • 梁恒、王海潮、刘雨乘,面向生理信号分类的系统设计与实现,国家级
  • 杨涵松、王乙冰、周丽琪,基于多任务学习的睡眠时间序列分类,国家级
  • 周泽宇、张雪儿,基于AETA地震数据集的地震预测研究,国家级(辅助指导)
  • 周星辰、陈晗阳、洪芷晴,基于图神经网络的情绪识别方法研究,北京市级
  • 熊家鸿、甘振良、丁煜轩,专家知识启发的睡眠分期对比学习框架 ,校级
  • 胡一寒、纪俊煜、刘昱辰,基于关系推理的生理电信号分类方法研究,校级
  • 杨圣普、史婧月、温礼宁,数据感知的智能电机状态预测,校级(辅助指导)
  • 李明浩、李逸凡、李驰,基于多模态的生理时间序列表示学习方法研究,校级
  • 李润泽、罗力、周延晨,基于自编码器的多变量时间序列异常检测研究,校级

2020年大创项目:

  • 周宇涵、蔡晞阳、郑鹏,基于图神经网络的睡眠分类方法研究,国家级
  • 冯志洋、谢享亨、陈蔡杰,多维特征融合的情绪识别方法研究,国家级
  • 谢培义、张应宾、王雪徽,面向生理电信号的睡眠分期方法研究,国家级
  • 卜语嫣、张艺琼、吴昊,基于自监督学习的生理时序表示学习研究,北京市级
  • 李毅、李英明、吴炳翰,基于自编码器的心跳异常检测研究 ,北京市级
2019年大创项目:
  • 周荣昊、何远来、宁晓军,基于动态图卷积的自动睡眠分类方法研究国家级
  • 杨凯昕、刘天航、张鑫旺,基于运动想象的脑电信号分类方法研究,北京市级
  • 蔡晞阳、陈昊斌、苟海军,基于生理电信号的情绪识别方法研究国家级
  • 上述项目内容介绍请看研究所新闻:http://insis.bjtu.edu.cn/88.html

社会兼职

IEEE Senior Member;

中国计算机学会专业会员;

中国人工智能学会协会会员;


国际学术期刊审稿人:

IEEE Transactions on Neural Networks and Learning Systems

Journal of Medical Internet Research

IEEE Transactions on Biomedical Engineering

IEEE Transactions on Neural Systems & Rehabilitation Engineering

IEEE Transactions on Human-Machine Systems

Computers in Biology and Medicine

Physica A: Statistical Mechanics and Its Applications