姜大志

教育背景：

博士，武汉大学

工作经历：

2009年6月-2016年8月，汕头大学工学院计算机系副教授；

2016年9月至今，        汕头大学工学院计算机系教授；

2016年8月-2017年1月，加拿大渥太华大学访问学者。

教学课程：

面向对象程序设计、人工智能、算法与智能（研究生）

发表的学术论文：

7.1 期刊文章（学术）：

[1]姜大志，吴志健，康立山. 基因表达式程序设计的GRCM方法[J]. 系统仿真学报, 2006, 18(6): 1466-1468 (EI)

[2]吴志健，姜大志，汤铭端. 一种基于基因表达式程序设计的新算法[J]. 系统仿真学报, 2008, 20(8):1986-1989 (EI)

[3]危明, 李元香, 姜大志. 基于动力学的多父体杂交算法[J]. 系统仿真学报, 2008, 20(21):5778-5782 (EI)

[4]危明, 李元香, 姜大志. 基于基因策略的反序杂交算法[J]. 武汉理工大学学报, 2008, 30(4):514-518

[5]徐星, 李元香, 姜大志. 一种基于分子动理论的改进粒子群优化算法[J]. 系统仿真学报, 2009, 21(7):1904-1907

[6]郭京蕾, 吴志健, 姜大志等. 基于粒子能量的自适应粒子群优化算法[J]. 系统仿真学报, 2009, 21(15):4664-4671

[7]张建伟，吴志健，黄樟灿，姜大志，郭京蕾. 基于多表达式编程的分类算法研究[J]. 小型微型计算机系统, 31（7），2010,pp.1371-1374.

[8]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Changhe Li, Sanyou Zeng, Dazhi Jiang, Particle swarm optimization with simple and efficient neighbourhood search strategies, International Journal of Innovative Computing and Applications, 3(2),2010, pp.97-104. （EI）

[9]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）,38(12),2010,pp.98-101. （EI）

[10]Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jing Wang, Xianqiang Yang, A Simple and Fast Particle Swarm Optimization , Journal of Multiple-Valued Logic and Soft Computing, 2010, vol. 16, no. 6, pp. 611–629. (SCI)

[11]姜大志，孙浩军，吴志健. 重叠复用性建模方法，系统仿真学报，2011,23（9）：1776-1781.

[12]Dazhi Jiang, Sanyou Zeng. Particle Swarm Optimizer with Hybrid Multi-parent Crossover and Discrete Recombination. Int. J. Intelligent Information and Database Systems [J], 2011,5（6）：597-617（EI）

[13]姜大志，彭晨枫，刘亮. 边坡稳定性预报的MEP分类预测算法，汕头大学学报（自然科学版），2011，26（4），pp.66-71.

[14]孙浩军，杜育林，姜大志. 基于信息熵的高维分类型数据子空间聚类算法，山东大学学报（工学版），2011,41（5）：37-44.

[15]林佳丽，姜大志. 企业裁员模型的建立及其优化求解，华东经济与管理，2012, 26(4):144-148. （CSSCI）

[16]林佳丽，姜大志，薛声家.农村商业性小额贷款决策风险评估模型及其求解，暨南大学学报(自然科学与医学版)，2012，34（1）：35-41

[17]林佳丽，姜大志. 基于差分演化算法的证劵投资组合研究，汕头大学学报(自然科学版)，2012，27（4）：4-8

[18]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，32(1),2015,pp. 209-213.

[19]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, 2014, 2014(2):66-70. (SCI)

[19]Dazhi Jiang, Liyu Li, Jian Gong, Zhun Fan. Optimal Trajectory Searching Based Differential Evolution, International Journal of Wireless and Mobile Computing, 2015,8(4):384-393 (EI).

[20]Dazhi Jiang, Liyu Li, Di Meng, Jiaming Zhang. Emotional State Estimation from the Non-contact, Automatic and Webcam-based Human Cardiac Pulse. Sensor Letters, 12(2),2014, pp.248-254. (SCI)

[21]王运涛，姜大志，基于EMD和GEP的急性低血压预测方法研究，电子设计工程，22（13），2014，pp.4-7.

[22] 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, 2015.(SCI)

[23] Jiali Lin, Jiachen Li, Dazhi Jiang (通讯作者)and Kangshun Li. A Novel Rural Microcredit Decision Model and Solving via Binary Differential Evolution Algorithm. International Journal of Computational Science and Engineering, 18(3),2019, pp.252-260. (EI)

[24] Dazhi Jiang, Bo Hu, and Zhijian Wu. Predicting of Acute Hypotensive Episodes Using EMD, Statistical Methods and Multi GP. Soft Computing, 2017,21(17):5123-5132. (SCI)

[25] 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)

[26] 陈晔，莫新，姜大志（通讯作者）. 配电线路风灾损失混合预测算法研究—以湛江地区为例，汕头大学学报(自然科学版)，2016，31（2）：72-80

[27] 陈晔，莫新，姜大志（通讯作者）. 沿海地区配电线路防风灾措施研究，汕头大学学报(自然科学版)，2016，31（2）：66-71

[28] 程荣标，方向尧，曾思伟，姜大志（通讯作者）. 基于Adaboost和回归树集合技术的疲劳诊断识别研究，汕头大学学报(自然科学版)，2017，32（2）：37-46

[29] 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, 2018, 22:3937-3949. (SCI)

[30] Akhil Garg, K. Shankhwar, Dazhi Jiang, V. Vijayaraghavan, B Panda, S.S Pande. An Evolutionary Framework in Modelling of Multi-Output Characteristics of Bone Drilling Process, Neural Computing and Applications, 2018,29(11):1233-1241. (SCI,ESI被引频次前3%论文)

[31] 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)

[32] 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)

[33] 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)

[34]姜大志、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），2018,33（3）：72-80

[35] Guorong Xiao, Akhil Garg, Dicheng Chen, Dazhi Jiang (通讯作者), etc. AHE Detection With a Hybrid Intelligence Model in Smart Healthcare, IEEE ACCESS, DECEMBER 2019, 7(1), pp.37360-37370(SCI)

[36] 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)

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

[38] 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,高被引论文, 热点论文)

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

[40] Guorong Xiao,Yunju Ma, Cheng Liu, Dazhi Jiang(通讯作者). A Machine Emotion Transfer Model for Intelligent Human-machine Interaction based on Group Division. Mechanical Systems and Signal Processing, 2020. (SCI)

[41] Guorong Xiao; Tu, Geng; Zheng, Lin; Zhou, Teng; Li, Xin; Ahmed, Syed Hassan; Jiang, Dazhi (共同第一、共同通讯). Multi-modality Sentimental Analysis in Social Internet of Things based on Hierarchical Attentions and CSAT-TCN with MBM Network, IEEE Internet of Things Journal, 2021, 8(16):12748-12757, 10.1109/JIOT.2020.3015381. (SCI)

[42] 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)

[43] 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)

[44] Dazhi Jiang(第一作者，通讯作者), 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)

[45]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，2020，10.16182/j.issn1004731x.joss.20-0007。

[46] Huakang LU, Dongmin Huang, Youyi Song, Dazhi Jiang, Teng Zhou *, Jing Qin. ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting, electronics, 2020. (SCI)

[47]Dazhi Jiang, Dongmin Huang, Youyi Song, Kaichao Wu, Huakang Lu, Quanquan Liu, Teng Zhou. An Audio Data Representation for Traffic Acoustic Scene Recognition. IEEE Access, vol. 8, pp. 177863-177873, 2020. https://doi.org/10.1109/ACCESS.2020.3027474. (SCI)

[48] 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)

[49] 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. https://doi.org/10.1007/s11047-020-09830-2. (SCI)

[50] 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, vol.2021, Article ID 6655125, 13pages, 2021. https://doi.org/10.1155/2021/6655125.(SCI)

[51] 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.

[52] 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

[53] 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)

[54]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

[55]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)

[56]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.

[57]Zhao, ZD, Chen, JH, Lu, YC, Zhao, N, Jiang, DZ, Wang, BH. Dynamic patterns of open review process, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 582, https://doi.org/10.1016/j.physa.2021.126245.

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

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.

林佳丽,林洋溢,骆乐佳,姜大志.预见影响：基于粒子智能的决策行为演化分析研究[J].汕头大学学报(自然科学版),2022,37(01):3-13+2.

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.

Sijin Zhou, Dongmin Huang, ChengLiu, Dazhi Jiang (通讯作者). Objectivity Meets Subjectivity: A Subjective and Objective Feature Fused Neural Network for Emotion Recognition. Applied Soft Computing, 2022.https://doi.org/10.1016/j.asoc.2022.108889

Cheng Liu, Si Wu, Dazhi Jiang(通讯作者), Zhiwen Yu and Hau-San Wong. View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Transactions on Biomedical Engineering, 2022. https://doi.org/10.1109/TBME.2022.3190050

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.

Jiali Lin, Qiaomei Li, Guangsheng Lin, Zhihui He, Dazhi Jiang*, and Hao Liu*. An Evolutionary Adaptive System for Prediction of Strategy Influence: A Case Study of Government Regulation Guided Brand Innovation. IEEE COMPLEX SYSTEM MODELING AND SIMULATION, 2022,DOI: 10.23919/CSMS/2022.0011.

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.

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.

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.

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.

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.

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.

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

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

Weilun Yu, Chengming Li, Xiping Hu, Wenhua Zhu, Erik Cambria, Dazhi Jiang. Dialogue Emotion Model based on Local-Global Context Encoder and Commonsense Knowledge Fusion Attention, International Journal of Machine Learning and Cybernetics, 2024, 15, 2811-2825.

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.

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

Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Cheng Liu, Dazhi Jiang,Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection, Information Fusion, Volume 108, 2024, 102353. https://doi.org/10.1016/j.inffus.2024.102353.

Qiaomei Li, Donghui Jin, Jun Huang, Qingshan Zhong, Linyan Xu, Jiali Lin, Dazhi Jiang. DEMA: Deep EEG-first multi-physiological affect model for emotion recognition, Biomedical Signal Processing and Control, Volume 99, 2025, 106812.

Y. Lin, Z. He, C. Liu and D. Jiang. ICE: A Driver Genes Identification Method With Improved Cross-Entropy Measure, IEEE Transactions on Computational Biology and Bioinformatics, https://doi.org/10.1109/TCBBIO.2025.3540951.

Jiazhen Liang, Wai Li, Qingshan Zhong, Jun Huang, Dazhi Jiang, Erik Cambria. Learning chain for clause awareness: Triplex-contrastive learning for emotion recognition in conversations, Information Sciences, 705, 2025, 121969, https://doi.org/10.1016/j.ins.2025.121969.

Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Dazhi Jiang, Erik Cambria. Knowing What and Why: Causal emotion entailment for emotion recognition in conversations, Expert Systems with Applications, 274, 2025, 126924, https://doi.org/10.1016/j.eswa.2025.126924.

7.2 会议文章（学术）：

[1]Dazhi Jiang, Zhijian Wu and Lishan Kang. A Simple and Effective Evolutionary Algorithm for Multimodal Function Optimization[C]. Proceedings of International Symposium on Intelligence Computation & Its Applications, Wuhan, China, 2005: 7-261 (ISTP检索)

[2]Zhijian Wu, Dazhi Jiang, Lishan Kang. Evolutionary Algorithm for Identifying Discontinuous Parameters of Inverse Problems[C]. International Conference on Computational Science, 2007:1131-1138 (EI, ISTP检索)

[3]Dazhi Jiang, Zhijian Wu, Lishan Kang. Parameter Identification in Differential Equations by Gene Expression Programming[C]. The 3rd International Conference on Natural Computation, 2007:644-648 (EI, ISTP检索)

[4]Zhijian Wu, Dazhi Jiang, Ming Wei, Yuanxiang Li. Dynamical Evolutionary in Function Finding[C]. The 3rd International Conference on Natural Computation, 2007:614-618 (EI, ISTP检索)

[5]Dazhi Jiang, Zhijian Wu, Jun Zou, Jianwei Zhang, Lishan Kang. Algorithm Based on Heuristic Subspace Searching Strategy for Solving Investment Portfolio Optimization Problems[C]. IEEE Congress on Evolutionary Computation, 2008:607-611 (EI, ISTP检索)

[6]Dazhi Jiang, Zhijian Wu, Jun Zou, Ming Wei, Lishan Kang. Evolutionary Modeling Based on Overlap Reuse[C]. IEEE Congress on Evolutionary Computation, 2008:612-616 (EI, ISTP检索)

[7]Ming Wei, Yuanxiang Li, Dazhi Jiang. A New Evolutionary Algorithm based on Quantum Statistical Mechanics[C]. IEEE Congress on Evolutionary Computation, 2008:1722-1727 (EI, ISTP检索)、

[8]Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang. Space Transformation Search: A New Evolutionary Technique[C]. The 2009 World Summit on Genetic and Evolutionary Computation.(EI检索)

[9] Mei Sun, Langhuan Xiong, Haojun Sun, Dazhi Jiang. A GA-based Feature Selection for High-dimensional Data Clustering[C]. The 3rd International Conference on Genetic and Evolutionary Computing, 2009,pp.769-772(EI检索)

[10]Dazhi Jiang, Haojun Sun, Zhijian Wu. A Unified Fitness Calculation Method for Automatic Modeling Algorithms[C]. Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010, pp.1569-1573. (EI检索)

[11]Dazhi Jiang, Yulin Du, Jiali Lin, Zhijian Wu. Multi-parent Crossover Algorithm with Discrete Recombination[C]. The 2010 International Conference on Computational Intelligence and Software Engineering, pp.1-4. (EI检索)

[12]Dazhi Jiang, Hui Wang, Zhijian Wu. A Variant of Differential Evolution based on Permutation Regulation Mechanism[C]. The 5th International Symposium on Intelligence Computation and Applications (ISICA 2010),LNCS, pp.76-85（EI检索）

[13]Xuezhi Yue, Zhijian Wu, Dazhi Jiang, and Kangshun Li. GPS Height Fitting Using Gene Expression Programming. The 5th International Symposium on Intelligence Computation and Applications (ISICA 2010), LNCS, pp.25-32（EI检索）

[14]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi Jiang, Sequential differential evolution enhanced by neighborhood search for large scale global optimization, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, pp. 4056–4062, 2010. （EI检索）

[15] Dazhi Jiang, Chenfeng Peng, Zhun Fan, Yan Chen, Xinye Cai. 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）

[16] Dazhi Jiang, Chenfeng Peng, Zhun Fan,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）

[17]Dazhi Jiang, Liyu Li, Zhun Fan, and Jin Liu. 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）

[18] Zhun Fan, Youxiang Zuo, Dazhi Jiang, Xinye Cai. Prediction of Acute Hypotensive Episodes Using Random Forest Based on Genetic Programming, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan pp.688-694. （EI检索）

[19] Jiali Lin, Dazhi Jiang and Kangshun Li. Rural Micro-credit Decision Model Based on Principle of Risk Control, The 7th International Symposium on Intelligence Computation and Applications (ISICA 2015), LNCS, pp. 401-408（EI检索）

[20] Dazhi Jiang, Bo Hu, and Zhijian Wu. 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）

[21] Geng Tu, Qingyuan Li, Dazhi Jiang. Dynamic Gesture Recognition based on HMM-DTW Model Using Leap Motion, International Symposium on Intelligence Computation and Applications (ISICA 2019), LNCS.

[22] Yujie Liang, Xin Li, Jiali Lin, Dazhi Jiang. Application of Improved Collaborative Filtering Algorithm in Personalized Tourist Attractions Recommendation, International Symposium on Intelligence Computation and Applications (ISICA 2019), LNCS.

[21] Changsheng Zhu, Dongmin Huang, Sijin Zhou, Yifei Chen, Jiali Lin, Dazhi Jiang. A Robust Unsupervised Method for the Single Channel Speech Separation,International Conference on Computational Intelligence and Security (CIS2019), IEEE.

[22] Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang. 2020. Sentiment-guided Sequential Recommendation [C], 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020.07.25-2020.07.30. (信息检索国际顶级会议, CCF A类论文)

[23] Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria. A Multitask Learning Framework for Multimodal Sentiment Analysis. ICDM SENTIRE, 2021. (SCI 会议，CCF B) 

[24] Rui Li, Cheng Liu, Dazhi Jiang. Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network. COLING, 2022.(自然语言处理国际顶级会议, CCF B类论文)

[25] Kang Lei, Lichao Zhang, Dazhi Jiang. LEARNING ROBUST SELF-ATTENTION FEATURES FOR SPEECH EMOTION RECOGNITION WITH LABEL-ADAPTIVE MIXUP. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing，ICASSP, 2023 (CCF B)

[26] Hongfei Xue, Linyan Xu, Yu Tong, Rui Li, Jiali Lin and Dazhi Jiang. Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation. LREC-COLING, 2024.(自然语言处理国际顶级会议, CCF B类论文)

科研项目：

演化计算网络拓扑分析及其在新算法设计中的应用，广东省科技厅育苗工程项目，2010.10-2012.10，项目负责人。

基于算子自实现策略的智能算法及其在风场布局中的应用， 汕头大学青年科研基金，2010.12-2012.12，项目负责人。

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。

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。

急性低血压大规模时序数据的敏捷分类方法研究，汕头大学国家基金培育项目，2013.9-2015.9，项目负责人。

配电线路防风能力分析模型，广东卓维网络有限公司，2014.6-2015.12，项目负责人。

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，2016.1-2018.12，项目负责人。

面向VDT作业者的多模态生理信号分析研究，广东省高等学校优秀青年教师培养计划项目，2016.1-2018.12，项目负责人。

基于海量体征信号数据的健康诊断研究, 广东省普通高校特色创新项目（自然科学类），2016.3-2019.3，项目负责人。

课堂教学活动的智能感知技术研究，广东省教育科学研究教育科研项目，2016.3-2018.3，项目负责人。

面向项目的过程优化与决策设计，汕头东风印刷股份有限公司，2016-2017，项目负责人。

基于时间序列数据挖掘的工业机器人故障诊断分析，汕头市合乐自动化设备有限公司，2016-2017，项目负责人。

易视腾产学研合作协议，易视腾科技股份有限公司，2016-2019，项目负责人。

视频关键场景提取方法研究，易视腾科技股份有限公司，2017-2017，项目负责人。

一种新型坐标转换系统的设计与实现，广东杰信测绘科技有限公司，2018-2019，项目负责人。

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。

基于长短时记忆机制的多模个性化情感建模研究，国家自然科学基金结题项目结余经费项目，2019.7-2021.12，项目负责人。

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。

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。

 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。

互联网电视用户退订行为预测研究，易视腾科技股份有限公司，2020.11，项目负责人。

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。

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。

智能跳绳机应用软件开发，广东万达康科技有限公司，2022.12，项目负责人。

技术人才精准对接机器学习平台，深圳市拓保软件有限公司，2023.1-2025.12，项目负责人。

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。

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。

基于多模态多源域的工业过程故障诊断方法研究，广东省普通高校重点领域专项项目（自然科学），2024.10-2027.9， 项目负责人。