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首页 /首页 /师资力量 /教师名录 /计算机技术与科学 /正文

姜大志

职称:系主任/教授

博士(武汉大学)

电子邮箱:dzjiang at stu.edu.cn

办公地址:工南211

主要研究方向:

人工智能、数据挖掘、智能计算。

开设的主要课程:

智能系统、算法与智能、面向对象程序设计、WEB应用技术 等。

 

科研情况:

  1. [科研课题]面向非接触式、非稳定和长时间尺度生理信号的情感状态自动识别研究,国家自然科学基金项目,2016.01-2018.12,项目负责人

  2. [科研课题]面向复杂情境的类脑情感计算模型研究, 广东省普通高校基础研究与应用基础研究重点项目(自然科学),2019.1-2021.12,项目负责人。

  3. [科研课题]基于认知与记忆策略的机器个性化情感建模方法研究,广东省自然科学基金项目,2019.1-2021.12,项目负责人。

  4. [科研课题]融合外部视听刺激和内部记忆的机器情感生成与调节机制研究, 广东省普通高校基础研究与应用基础研究人工智能重点领域专项,2020.1-2022.12,项目负责人。

  5. [科研课题]面向VDT作业者的多模态生理信号分析研究,广东省项目,2016.01-2018.12,项目负责人。

  6. [科研课题]基于海量体征信号数据的健康诊断研究, 广东省项目,2016.3-2019.3,项目负责人。

  7. [科研课题]课堂教学活动的智能感知技术研究,广东省项目,2016.3-2018.3,项目负责人。

  8. [科研课题]分类算法可适应性自动设计及其在急性低血压预测中的应用,广东省自然科学基金,2013.10-2015.10,项目负责人。

  9. [科研课题]演化计算网络拓扑分析及其在新算法设计中的应用, 广东省科技厅项目,2010.10-2012.10,项目负责人。

  10. [科研课题]自动化智能算法设计及其在风电场布局优化中的应用,汕头市科技计划项目,2011.12-2013.12,项目负责人。

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  1. [主要论文] Dazhi Jiang, Donghui Jin, Jiaxi Zhuang, Daqiang Tan, Dicheng Chen, Yujie Liang. A Computational Model of Emotion based on Audio-visual Stimuli Understanding and Personalized Regulation with Concurrency, Concurrency and Computation: Practice and Experience, 2021. (SCI)

  2. [主要论文]Dazhi Jiang, Zhihang Tian, Zhihui He, Geng Tu, Ruixiang Huang. A Framework for Designing of Genetic Operators Automatically based on Gene Expression Programming and Differential Evolution. Natural Computing, 2021. (SCI)

  3. [主要论文]Dazhi Jiang, Zhihui He, Yingqing Lin, Yifei Chen, Linyan Xu. An Improved Unsupervised Single Channel Speech Separation Algorithm for Processing Speech Sensor Signals. Wireless Communications and Mobile Computing, 2021. (SCI)

  4. [主要论文]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, 2021, 427:169-178

  5. [主要论文]周思锦、陈棣成、涂耿,姜大志(通讯作者). 基于个性化和记忆机制的多模态情感计算模型, 系统仿真学报, 2021.

  6. [主要论文] Guorong Xiao; Tu, Geng; Zheng, Lin; Zhou, Teng; Li, Xin; Ahmed, Syed Hassan; Jiang, Dazhi. Multi-modality Sentimental Analysis in Social Internet of Things based on Hierarchical Attentions and CSAT-TCN with MBM Network, IEEE Internet of Things Journal, 2020, PP(99):1-1, 10.1109/JIOT.2020.3015381. (SCI)

  7. [主要论文]Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu and Hau-San Wong. Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. (SCI)

  8. [主要论文] Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong. Joint subspace and discriminative learning for self-paced domain adaptation, Knowledge-Based Systems, 205(2020) 106285. (SCI)

  9. [主要论文] 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, 546(2021), 787-802, https://doi.org/10.1016/j.ins.2020.08.033. (SCI)

  10. [主要论文]Cheng Liu, Si Wu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong. Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning, IEEE Transactions on Neural Networks and Learning Systems, 2020. (SCI)

  11. [主要论文]田智行、陈夏铭、姜大志(通讯作者)。一种离散状态与维度空间互映射的人工情感模型,系统仿真学报,2020.

  12. [主要论文]Dazhi Jiang, Kaichao Wu, Dicheng Chen, Geng Tu, Teng Zhou, Akhil Garg and Liang Gao. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems, Measurement, 150(2020) 107049. (SCI检索,高被引论文,热点论文)

  13. [主要论文]Dazhi Jiang, Z. Liu, L. Zheng and J. Chen.Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem.IEEE Access, vol. 8, pp. 18350-18361, 2020.(SCI检索)

  14. [主要论文] Guorong Xiao,Yunju Ma, Cheng Liu, Dazhi Jiang(corresponding author). A Machine Emotion Transfer Model for Intelligent Human-machine Interaction based on Group Division. Mechanical Systems and Signal Processing, 2020(SCI检索)

  15. [主要论文]Guorong Xiao, Akhil Garg, Dicheng Chen, Dazhi Jiang (corresponding author), etc. AHE Detection With a Hybrid Intelligence Model in Smart Healthcare, IEEE ACCESS, DECEMBER 2019, 7(1), pp.37360-37370(SCI检索)

  16. [主要论文]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), pp. 1023-1032(SCI检索)

  17. [主要论文]Shuangyi Zhang, Jie Zhang, Dazhi Jiang, Teng Zhou, Jing Qin, Noise-identified Kalman filter for short-term traffic flow forecasting, Electronics Letters, 2019 (SCI检索)

  18. [主要论文]Dazhi Jiang, Yifei Chen, Akhil Garg. A hybrid method for overlapping speech detection in classroom environment. Computer Applications in Engineering Education, 2018, 26(1):171-180. (SCI检索)

  19. 1[主要论文]Dazhi Jiang, Chenfeng Peng, Yifei Chen, Zhun Fan, Akhil Garg. Probability distribution pattern analysis and its application in the Acute Hypotensive Episodes prediction, Measurement, 104(2017) 180-191. (SCI检索)

  20. [主要论文]Dazhi Jiang, Jian Gong and Akhil Garg. Design of Early Warning Model based on Time Series Data for Production Safety, Measurement, 101(2017) 62-71. (SCI检索)

  21. [主要论文]Dazhi Jiang, Bo Hu, Yifei Chen, Wei Li. Recognizing the Human Attention State Using Cardiac Pulse from the Noncontact and Automatic-based Measurements. Soft Computing, 2017(3):1-13. (SCI检索)

  22. [主要论文]Dazhi Jiang, Wanhuan Zhou, Ankit Garg and Akhil Garg. Model development and surface analysis of a bio-chemical process. Chemometrics and Intelligent Laboratory Systems, 157(2016) 133-139. (SCI检索)

  23. [主要论文]Dazhi Jiang, Bo Hu, Zhijian Wu. Predicting of Acute Hypotensive Episodes Using EMD Statistical Method and Multi GP, 2016,Soft Computing. (SCI检索)

  24. [主要论文]Dazhi Jiang, Liyu Li, Bo Hu, Zhun Fan. An Approach for Prediction of Acute Hypotensive Episodes via Hilbert-Huang Method and Genetic Programming,International Journal of Distributed Sensor Networks, Article ID 354807.(SCI检索)

  25. [主要论文]Dazhi Jiang, Liyu Li, Di Meng, Jiaming Zhang. Emotional State Estimation from the Non-contact, Automatic and Webcam-based Human Cardiac Pulse. Sensor Letters, 2014. (SCI检索)

  26. [主要论文]Dazhi Jiang, Zhun Fan. The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatically Designing of Genetic Operators. Mathematical Problems in Engineering, Article ID 474805 (SCI检索).

  27. [主要论文]Dazhi Jiang, Liyu Li, Jian Gong, Zhun Fan. Optimal Trajectory Searching Based Differential Evolution, International Journal of Wireless and Mobile Computing, 2015 (EI检索).

  28. [主要论文]Dazhi Jiang,Sanyou Zeng. Particle Swarm Optimizer with Hybrid Multi-parent Crossover and Discrete Recombination. Int. J. Intelligent Information and Database Systems [J], 2011(EI检索)

  29. [主要论文]姜大志,林佳丽. 一种统一的多父体杂交算法. 华中科技大学(自然科学版), 2010(EI)

  30. [主要论文]姜大志,孙浩军,吴志健. 重叠复用性建模方法,系统仿真学报,2011.

  31. [主要论文]姜大志,李立宇,彭晨枫. 基于非线性混沌分析的急性低血压预测,生物医学工程学杂志,2015.

研究生就业方向:读博、算法工程师、软件工程师


已毕业研究生就业单位:

  1. 彭晨枫,2014届硕士毕业生,腾讯科技有限公司(深圳)

  2. 李立宇,2015届硕士毕业生,腾讯科技有限公司(广州)

  3. 龚健,2016届硕士毕业生,石化盈科信息技术有限公司(北京,中国石化与电讯盈科下属公司)

  4. 胡波,2017届硕士毕业生,杭州数梦工场科技有限公司

  5. 陈逸飞,2018届硕士毕业生,上海拍拍贷金融信息服务有限公司(纽交所上市)

  6. 黄瑞香,2018届硕士毕业生,深圳IT公司研发工作

  7. 陈棣成,2019届硕士毕业生,厦门大学读博

  8. 刘泉泉,2019届硕士毕业生,北京IT公司研发工作

  9. 吴凯超,2020届硕士毕业,澳洲皇家墨尔本理工大学读博

  10. 马云驹,2020届硕士毕业,CVTE研发工作

  11. 苏明华,2020届硕士毕业,广州银行研发工作

     

研究生论文发表:

  1. 马云驹: Guorong Xiao,Yunju Ma, Cheng Liu, Dazhi Jiang(corresponding author). A Machine Emotion Transfer Model for Intelligent Human-machine Interaction based on Group Division. Mechanical Systems and Signal Processing, 2020(SCI检索)

  2. 吴凯超:Dazhi Jiang, Kaichao Wu, Dicheng Chen, Geng Tu, Teng Zhou, Akhil Garg and Liang Gao. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems, Measurements, 150(2020) 107049. (SCI检索)

  3. 陈棣成:Guorong Xiao, Akhil Garg, Dicheng Chen, Dazhi Jiang (corresponding author), etc. AHE Detection With a Hybrid Intelligence Model in Smart Healthcare, IEEE ACCESS, DECEMBER 2019, 7(1), pp.37360-37370(SCI检索)

  4. 陈逸飞:A hybrid method for overlapping speech detection in classroom environment. Computer Applications in Engineering Education, 2018, 26(1):171-180. (SCI检索)

  5. 黄瑞香:基于文本挖掘的课程培养目标的智能观测研究.汕头大学学报(自然科学版).

  6. 龚健: Design of Early Warning Model based on Time Series Data for Production Safety, Measurements. (SCI检索).

  7. 胡波、陈逸飞: Recognizing the Human Attention State Using Cardiac Pulse from the Noncontact and Automatic-based Measurements. Soft Computing (SCI检索).

  8. 胡波: Predicting of Acute Hypotensive Episodes Using EMD Statistical Method and Multi GP, 2016,Soft Computing. (SCI检索)

  9. 李立宇、胡波: An Approach for Prediction of Acute Hypotensive Episodes via Hilbert-Huang Method and Genetic Programming,International Journal of Distributed Sensor Networks, Article ID 354807.(SCI检索)

  10. 李立宇:Emotional State Estimation from the Non-contact, Automatic and Webcam-based Human Cardiac Pulse. Sensor Letters, 2014. (SCI检索)

  11. 李立宇、龚健:Optimal Trajectory Searching Based Differential Evolution, International Journal of Wireless and Mobile Computing, 2015 (EI检索).

  12. 李立宇、彭晨枫:基于非线性混沌分析的急性低血压预测,生物医学工程学杂志,2015.(中文核心)

  13. 彭晨枫:Modified Binary Differential Evolution for Solving Wind Farm Layout Optimization Problems, 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), pp.23-28. (EI检索)

  14. 彭晨枫:Evolutionary Algorithm Based on Automatically Designing of Genetic Operators, 2013 Ninth International Conference on Computational Intelligence and Security(CIS), pp.66-70. (EI检索)

  15. 李立宇:Detection of Acute Hypotensive Episodes via Empirical Mode Decomposition and Genetic Programming, International Conference on Identification, Information and Knowledge in the Internet of Things 2014 (IIKI2014),225-228. (EI检索)

  16. 胡波:Predicting Acute Hypotensive Episodes Based on Multi GP. The 7th International Symposium on Intelligence Computation and Applications (ISICA 2015), LNCS, pp. 161-170(EI检索)

     

本科生科研指导:

  1. 张国豪(2016届毕业生,免试保送到暨南大学(211)计算机专业,发表论文:A Novel Hybrid Method for the Financial Time Series Forecasting)

  2. 程荣标(2017届毕业生,免试保送到电子科技大学(985)计算机专业,发表论文:基于Adaboost和回归树集合技术的疲劳诊断识别研究)

  3. 王俊皓(2018届毕业生,美国计算机硕士)

  4. 谭达强(2019届毕业生,免试保送到华南理工大学(985)计算机专业)

  5. 彭泽华(2019届毕业生,澳洲计算机硕士)

  6. 陈俊浩(2020届毕业生,免试保送到兰州大学(985)计算机专业)

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