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首页 /首页 /师资力量 /教师名录 /计算机科学与技术 /正文

姜大志

职称:系主任/教授

博士(武汉大学)

电子邮箱:dzjiang@stu.edu.cn

办公地址:东海岸校区D栋南塔422


主要研究方向:

人工智能、情感计算、对话情感分析、多模态融合与推理。


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:

[科研课题]基于溯因推理的对话情感分析关键问题研究,国家自然科学基金面上项目,2024.1-2027.12,项目负责人。

[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。

[科研课题]面向对话情感分析的多情绪标签分布学习关键技术研究,广东省自然科学基金项目,2024.1-2026.12,项目负责人。

[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。

[科研课题]基于数字孪生技术的智慧云工厂关键技术研究与应用,2021年广东省科技专项资金(“大专项+任务清单”)项目,2022.1-2024.12,项目负责人。

[科研课题]多模态情感识别关键技术研究及其在血液舆情大数据中的应用,2022年广东省科技创新战略专项(“大专项+任务清单”)项目,2023.1-2025.12,项目负责人。

[科研课题]基于多组学数据的癌症驱动基因智能预测研究,李嘉诚基金会交叉研究,2020.7-2023.6,项目负责人。

[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。

[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。

[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。

[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。

[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。

[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。

[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。

[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。

[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。


论文:

[主要论文] Dazhi Jiang, Weilun Yu, Chengming Li, Xiping Hu, Wenhua Zhu, Erik Cambria. Dialogue Emotion Model based on Local-Global Context Encoder and Commonsense Knowledge Fusion Attention, International Journal of Machine Learning and Cybernetics, 2024

[主要论文] Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei, Erik Cambria. Self-supervised utterance order prediction for emotion recognition in conversations, Neurocomputing, Volume 577, 2024, 127370, https://doi.org/10.1016/j.neucom.2024.127370.(SCI1区,CCFB)

[主要论文] Fu H, Liu H, Wang H, Xu L, Lin J, Jiang D. Multi-Modal Sarcasm Detection with Sentiment Word Embedding. Electronics. 2024; 13(5):855. https://doi.org/10.3390/electronics13050855

[主要论文]Dazhi Jiang, Runguo Wei, Jintao Wen, Geng Tu*, and Erik Cambria*. AutoMLEmo: Automatic Knowledge Selection using Congruent Effect for Emotion Identification in Conversations. IEEE Transactions on Affective Computing, 2023, 14(3):1845-1856.(SCI1区,顶刊)

[主要论文]Dazhi Jiang, Hao Liu, Runguo Wei, Geng Tu. CSATFTCN: A FuzzyOriented Model with Contextual Selfattention Network for Multimodal Emotion Recognition. Cognitive Computation, 2023, 15, 1082-1091. https://doi.org/10.1007/s12559-023-10119-6.

[主要论文]Dazhi Jiang; Hao Liu; Geng Tu; Runguo Wei. Window Transformer for Dialogue Document: A Joint Framework for Causal Emotion Entailment. International Journal of Machine Learning and Cybernetics, 2023, 14, 2697-2707.

[主要论文]Dazhi Jiang, Runguo Wei, Zhihui He, Senlin Lin, Cheng Liu, Yingqing Lin. GASN: gamma distribution test for driver genes identification based on similarity networks, Connection Science, 2023, Article: 2167937. https://doi.org/10.1080/09540091.2023.2167937

[主要论文]Jintao Wen, Geng Tu, Rui Li, Dazhi Jiang, Wenhua Zhu. Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations. Transactions of the Association for Computational Linguistics, (2023) 11: 1485–1499. https://doi.org/10.1162/tacl_a_00614 (SCI1区,CCFB,顶刊)

[主要论文] Jintao Wen, Dazhi Jiang(共同第一), Geng Tu, Cheng Liu, Erik Cambria, Dynamic interactive multiview memory network for emotion recognition in conversation, Information Fusion, 2022, https://doi.org/10.1016/j.inffus.2022.10.009.(SCI1区,顶刊)

[主要论文] Zhihui He, Yingqing Lin, Runguo Wei, Cheng Liu, Dazhi Jiang*,Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction, Computers in Biology and Medicine, 2022, 106236, https://doi.org/10.1016/j.compbiomed.2022.106236.(SCI1区)

[主要论文] Geng Tu, Bin Liang, Dazhi Jiang* and Ruifeng Xu*. Sentiment- Emotion- and Context-guided Knowledge Selection Framework for Emotion Recognition in Conversations. IEEE Transactions on Affective Computing. 2022.(SCI1区,顶刊)

[主要论文] Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang(通讯作者). Exploration Meets Exploitation- Multi-task Learning for Emotion Recognition based on Discrete and Dimensional models. Knowledge-Based Systems, 2021. https://doi.org/10.1016/j.knosys.2021.107598(SCI1区,顶刊)

[主要论文] G Tu, J Wen, C Liu, D Jiang(通讯作者), E Cambria. Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Transactions on Artificial Intelligence 3(5), 699-708, 2022. doi: 10.1109/TAI.2022.3149234.

[主要论文] Dongmin Huang, Sijin Zhou and Dazhi Jiang(通讯作者). Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition, Cognitive Computation, 2022, doi: 10.1007/s12559-022-10016-4.(SCI1区)

[主要论文] Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian and Dazhi Jiang(通讯作者). Differences First in Asymmetric Brain: A Bi-hemisphere Discrepancy Convolutional Neural Network for EEG Emotion Recognition, Neurocomputing, 2021. (SCI) doi: https://doi.org/10.1016/j.neucom.2021.03.105(SCI1区)

[主要论文] Qi Z , Jiang D , Chen X . Iterative gradient descent for outlier detection[J]. International Journal of Wavelets Multiresolution and Information Processing, 2021,19(4). (SCI)

[主要论文] Tian Z, Huang D, Zhou S, Zhao Z, Jiang D(共同第一、共同通讯). Personality first in emotion: a deep neural network based onelectroencephalogram channel attention for cross-subject emotion recognition. Royal Society Open Science, 2021, 8: 201976.

[主要论文] Dazhi Jiang, Yingqing Lin, Wenhua Zhu and Zhihui He. A parallel based evolutionary algorithm with primary-auxiliary knowledge. Information Sciences, 610(2021), 1122-1142. https://doi.org/10.1016/j.ins.2022.08.016.(SCI1区,顶刊)

[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)

[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)

[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)

[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

[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.

[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)

[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)

[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)

[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)

[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)

[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.

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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)

[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).

[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).

[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)

[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)

[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.

[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

6、陈棣成,2019届硕士毕业生,厦门大学读博

7、刘泉泉,2019届硕士毕业生,北京IT公司研发工作

8、吴凯超,2020届硕士毕业,澳洲皇家墨尔本理工大学读博

9、马云驹,2020届硕士毕业,CVTE研发工作

10、苏明华,2020届硕士毕业,广州银行研发工作

11、漆原,2021届硕士毕业,腾讯研发工作

12、林富,2021届硕士毕业,vivo研发工作

13、田智行,2021届硕士毕业,农银金融科技有限责任公司研发工作

14、林学勤,2021届硕士毕业,百度研发工作

15、涂耿,2022届硕士毕业,哈尔滨工业大学(深圳)读博

16、金东晖,2022届硕士毕业,中国科学院研究所研发工作

17、黄东敏,2022届硕士毕业,南方科技大学读博

18、周思锦,2022届硕士毕业,澳洲莫那什大学读博

19、林映青,2023届硕士毕业,公务员

20、何志辉,2023届硕士毕业,武汉大学读博

21、温晋韬,2023届硕士毕业,武汉大学读博

22、刘豪,2023届硕士毕业,西北工业大学读博

23、魏润国,2023届硕士毕业,上海交通大学读博


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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