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）