近年来，依托学校、学院良好的科学氛围和学术环境，姜大志教授课题组学生本着团结、勤奋、求实和创新的汕大校训精神，刻苦科研，成果颇丰。

毕业季到来，捷报频传。课题组5名硕士应届毕业生中有3名顺利被国内外大学录取读博，其中涂耿同学录取到哈尔滨工业大学（深圳）读博、黄东敏同学录取到南方科技大学读博、周思锦同学获得莫纳什大学博士奖学金，此前曾获得中国留学基金委-法国高师集团（ENS France group）联合博士奖学金。

对这些同学表示热烈祝贺，期待他们在新的学习征程中取得好成绩，学术更上一层楼！

国家奖学金获得者、2022届硕士毕业生涂耿

科研心得体会：

科研是一个需要由浅入深且不断积累的过程，在这个过程中，需要有对科研问题的热心、坐实验冷板凳的耐心、坚持不懈的恒心、精益严谨的决心和对科研生涯的痴心。抬头看路，低头拉车，两条腿（理论+实践）走路，导师的教诲始终记在心头。路漫漫，心求索，行必达。

发表论文：

1. Geng Tu, Lin Zheng, Dazhi Jiang. Exploration Meets Exploitation: Multi-task Learning for Emotion Recognition based on Discrete and Dimensional models. Knowledge-Based Systems, 2021. (中科院一区)

2. Guorong Xiao, Geng Tu*, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, and Dazhi Jiang*. Multi-modality sentiment analysis in social internet of things based on hierarchical attentions and csattcn with mbm network. IEEE Internet of Things Journal, 2020. (中科院一区)

3. Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, and Teng Zhou. A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. Information Sciences, 787–802, 2020. (中科院一区，CCF-B)

4. Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang. CMAER: Context and Mood Aware Emotion Recognition with Latent Concepts in Text Conversations. IEEE Transactions on Artificial Intelligence, 2021.

5. Geng Tu, Qingyuan Li, and Dazhi Jiang. Dynamic gesture recognition based on hmm-dtw model using leap motion. In International Symposium on Intelligence Computation and Applications, pages 788–798. Springer, 2019. (EI 会议)

6. Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu*, Lin Zheng, Erik Cambria. A Multitask Learning Framework for Multimodal Sentiment Analysis. In 2021 International Conference on Data Mining Workshops (ICDMW) (pp. 151- 157). IEEE. (SCI 会议)

7. 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, 150:107049, 2020. (中科院二区)

8. Dazhi Jiang, Zhihang Tian, Zhihui He, Geng Tu, and Ruixiang Huang. A framework for designing of genetic operators automatically based on gene expression programming and differential evolution. Natural Computing, pages 1– 17, 2021. (中科院四区，CCF-C)

9. 周思锦，陈棣成，涂耿，姜大志. 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. (中文 CCF-B)

10. Geng Tu, Bin Liang, Dazhi Jiang, and Ruifeng Xu. Knowledge Selection Framework for Emotion Recognition in Conversation. IEEE Transactions on Affective Computing, 2022. (Major Revision，中科院一区，CCF-B)

11. 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, 2022. (Under Review，中科院一区，CCF-B)

12. Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria. Dynamic Interactive Multiview Memory Network for Emotion Recognition in Conversation. Information Fusion, 2022. (Under Review，中科院一区)

13. Dazhi Jiang, Hao Liu, Runguo Wei, Geng Tu*, Cheng Liu, Erik Cambria. CSAT-FTCN: A Fuzzy-oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. IEEE Intelligent Systems, 2022. (Under Review，中科院三区)

14. Runguo Wei, Geng Tu, Jiali Lin, Rui Li, Dazhi Jiang and Hao Liu. Knowing What and Why: Causal Emotion Entailment for Emotion Recognition in Conversations. COLING, 2022. (Under Review，CCF-B)

15. Dazhi Jiang, Hao Liu, Rui Li, Jiali Lin, Geng Tu* and Runguo Wei*. Window Transformer for Dialogue Document: A Joint Framework for Causal Emotion Entailment. COLING, 2022. (Under Review，CCF-B)

16. Jintao Wen, Geng Tu, Rui Li, Dazhi Jiang and Wenhua Zhu. Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations. COLING, 2022. (Under Review，CCF-B)

17. Dazhi Jiang, Hao Liu, Rui Li, Jiali Lin, Geng Tu* and Runguo Wei*. A Selfsupervised Utterance Order Prediction Approach for Emotion Recognition in Conversations. NLPCC, 2022. (Under Review，CCF-C)

国家奖学金获得者、2022届硕士毕业生黄东敏

科研心得体会：

科研的过程，是一个长期的过程，看上去乏味，但是日久弥香。对待科研问题，要思考思考再思考，实践实践再实践。在此过程中，保持一个热爱的心，心有多远，走的就有多远。明确目标，坚定内心，心无旁骛，享受学习，探索科研真谛。

发表论文：

1. Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian and Dazhi Jiang. Differences First in Asymmetric Brain: A Bi-hemisphere Discrepancy Convolutional Neural Network for EEG Emotion Recognition, Neurocomputing, 2021. (中科院二区)

2. Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang. Objectivity Meets Subjectivity: A Subjective and Objective Feature Fused Neural Network for Emotion Recognition. Applied Soft Computing. (中科院二区)

3. Dongmin Huang, Sijin Zhou, Dazhi Jiang. Domain Adaptation with Limited Prior Knowledge: Generator-based Domain Adaptation for Cross-subject EEG Emotion Recognition. Cognitive computation. 2022: 1-12.(中科院二区)

4. Dazhi Jiang, Dongmin Huang, Youyi Song, Kaichao Wu, Huakang Lu, Quanquan Liu, and Teng Zhou. An Audio Data Representation for Traffic Acoustic Scene Recognition. IEEE ACCESS, 10.1109/ACCESS.2020.3027474, 2020.(中科院二区)

5. Zhihang Tian, Dongmin Huang, Sijin Zhou, Zhi-dan Zhao, and Dazhi Jiang. Personality first in emotion: a deep neural network based on electroencephalogram channel attention for cross-subject emotion recognition. Royal Society open science, 10.1098/rsos.201976, 2021.(中科院三区)

6. Huakang Lu, Dongmin Huang, Youyi Song, Dazhi Jiang, Teng Zhou, and Jing Qin. ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting. Electronics, 10.3390/electronics9091474, 2020. （SCI）

7. Changsheng Zhu, Dongmin Huang, Sijin Zhou, Yifei Chen, Jiali Lin, and Dazhi Jiang. A Robust Unsupervised Method for the Single Channel Speech Separation. In 2019 15th International Conference on Computational Intelligence and Security (CIS), 10.1109/CIS.2019.00090. （EI会议）

8. Dongmin Huang, Runguo Wei, Dazhi Jiang. ELCCS-STNN: EEG Emotion Recognition Using an Emotion Lateralization-based Channel Cluster Selection and Spatial-Temporal Neural Network. IEEE Transactions on Neural Networks and Learning Systems.(Under Review，中科院一区)

9. Dazhi Jiang, Dongmin Huang, Dicheng Chen, Geng Tu, Sijin Zhou. A Detection and Prediction Model for Video-content Stimulus and Immersed User in the Smart Environment. Multimedia Tools and Applications.(Under Review，SCI)

   
   

   2022届硕士毕业生 周思锦

科研心得体会：

选题，扩宽了我的视野；遇到问题，让我学会触类旁通，并尝试从多视角构建解决方案。结题出论文，让我学习到如何严谨而严密地表述问题和方案。在科研的奇幻旅程中，始终保持对领域最前沿技术的追踪，始终保持对科研的兴趣与热情，是不断进步的关键。

发表论文：

1. 周思锦，陈棣成，涂耿，姜大志. 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. (中文 CCF-B)

2. Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang. Objectivity Meets Subjectivity: A Subjective and Objective Feature Fused Neural Network for Emotion Recognition. Applied Soft Computing. (中科院二区)

3. Dongmin Huang, Sijin Zhou, Dazhi Jiang. Domain Adaptation with Limited Prior Knowledge: Generator-based Domain Adaptation for Cross-subject EEG Emotion Recognition. Cognitive computation. 2022: 1-12.(中科院二区)

4. Zhihang Tian, Dongmin Huang, Sijin Zhou, Zhi-dan Zhao, and Dazhi Jiang. Personality first in emotion: a deep neural network based on electroencephalogram channel attention for cross-subject emotion recognition. Royal Society open science, 10.1098/rsos.201976, 2021.(中科院三区)

5. Zhihang Tian, Dongmin Huang, Sijin Zhou, Zhi-dan Zhao, and Dazhi Jiang. Personality first in emotion: a deep neural network based on electroencephalogram channel attention for cross-subject emotion recognition. Royal Society open science, 10.1098/rsos.201976, 2021.(中科院三区)

6. Changsheng Zhu, Dongmin Huang, Sijin Zhou, Yifei Chen, Jiali Lin, and Dazhi Jiang. A Robust Unsupervised Method for the Single Channel Speech Separation. In 2019 15th International Conference on Computational Intelligence and Security (CIS), 10.1109/CIS.2019.00090. （EI会议）

7. Dazhi Jiang, Dongmin Huang, Dicheng Chen, Geng Tu, Sijin Zhou. A Detection and Prediction Model for Video-content Stimulus and Immersed User in the Smart Environment. Multimedia Tools and Applications.(Under Review，SCI)