依托学校、学院良好的科学氛围和学术环境，依托高水平建设学科的支持，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2020级5名硕士研究生顺利毕业且全部获得国内名校博士offer：魏润国录取到上海交通大学读博，温晋韬、何志辉录取到武汉大学读博，刘豪录、林映青（考取上公务员）录取到西北工业大学读博。

向这些同学表示热烈祝贺，期待他们在新的求学和事业征程中取得好成绩，更上一层楼！

2020级研究生魏润国

科研心得：在科研中，坚持持续学习和不断探索是关键。面对问题时，要保持开放的思维，尝试不同的方法和角度，从错误中学习，并勇于接受挑战。同时，与导师和同学交流是取得突破的重要途径，分享知识和经验能够互相促进。此外，对于失败和困难，要保持乐观和坚韧的态度，并持续努力。

发表论文：

1. Dazhi Jiang, Runguo Wei, Jintao Wen, Geng Tu*,Erik Cambria*.AutoML-Emo: Automatic Knowledge Selection using Congruent Effect for Emotion Identification in Conversations. IEEE Transactions on Affective Computing, 2022. (中科院一区, CCF-B)

2. 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).

3. Dazhi Jiang, Hao Liu, Runguo Wei*, Geng Tu*. CSAT-FTCN: A Fuzzy-oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. Cognitive Computation, 2022. (中科院二区)

4. 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 (中科院三区)

5. Dazhi Jiang, Runguo Wei, Zhihui He, Yingqing Lin,* and Senlin Lin, Chen Liu. Global Assessment Method for Identifying Driver Genes based on Function Impact Score with Similarity Convolutional Network, Connection Science, 2022. (CCF C)

6. 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. (中科院三区)

7. Dazhi Jiang, Runguo Wei, Yingqing Lin, Zhuohua Zhang, Jiali Lin. EEG multimodal emotion recognition combined with external audio-visual stimuli based on 4D spatial-temporal features. Cognitive Computation, 2022. (Under Review)

8. Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei*. Knowing What and Why: Causal Emotion Entailment for Emotion Recognition in Conversations. ECAI 2023. (Under Review)

9. Dazhi Jiang, Hao liu, Geng Tu, Runguo Wei*, Erik Cambria*. A Self-supervised Utterance Order Prediction Approach for Emotion Recognition in Conversations. Neurocomputing. (Under Review)

2020级研究生温晋韬

科研心得：在科研中保持持续学习和探索的心态是非常关键的。计算机学科的发展速度惊人，新技术和新思想层出不穷。作为研究生，需要时刻保持学习的状态，关注前沿动态，掌握最新的技术和研究方法。同时，勇于探索和尝试新的方向和思路，不断挑战自己的极限。

发表论文：

1. Wen, J., Jiang, D., Tu, G., Liu, C., & Cambria, E. (2022). Dynamic interactive multiview memory network for emotion recognition in conversation. Information Fusion, Volume 91, Pages 123-133, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2022.10.009. (中科院SCI一区,IF=17.564)

2. Tu, G., Wen, J., Liu, H., Chen, S., Zheng, L., & Jiang, D. (2022). Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. Knowledge-Based Systems, Volume 235, 107598, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2021.107598. (中科院SCI一区,IF=8.139)

3. Jiang, D., Wei, R., Wen, J., Tu, G., & Cambria, E. (2022). AutoML-Emo: Automatic Knowledge Selection using Congruent Effect for Emotion Identification in Conversations. IEEE Transactions on Affective Computing. (中科院SCI一区,IF=13.99)

4. Tu, G., Wen, J., Liu, C., Jiang, D., & Cambria, E. (2022). Context-and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Transactions on Artificial Intelligence, vol. 3, no. 5, pp. 699-708, https://ieeexplore.ieee.org/document/9706271

5. Jiang, D., Wei, R., Liu, H., Wen, J., Tu, G., Zheng, L., & Cambria, E. (2021). A Multitask Learning Framework for Multimodal Sentiment Analysis. In 2021 International Conference on Data Mining Workshops.

6. Wen, J., Tu, G., Li, R., Jiang, D., and Zhu, W. Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations. Transactions of the Association for Computational Linguistics. (under review, CCF B)

7. Jiang, D., Liu, H., Wei R., Tu, G., Wen, J. Understand Sarcasm and Sentiment: A Sentiment-Aware Hierarchical Fusion Network for Multimodal Sarcasm Detection. IJCNN. (under review, CCF C)

2020级研究生何志辉

科研心得：科研需要“热情”与“热爱”，“热情”能够帮助你充满动力，“热爱”能够帮助你在枯燥的科研生活中发现快乐！在科研的过程中，老师和同学是你重要的帮手，多分享、多交流能够帮助开阔视野。科研过程也需要劳逸结合，放松的心情才能取得更好的成果。

发表论文：

1. Dazhi Jiang, Yingqing Lin, Wenhua Zhu, Zhihui He*. A parallel based evolutionary algorithm with primary-auxiliary knowledge[J]. Information Sciences, 2022, 610: 1122-1142. （SCI）

2. 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 （SCI）

3. Zhihui He, Hu Peng, Jianqiang Chen, Changshou Deng, Zhijian Wu, "A Spark-based differential evolution with grouping topology model for large-scale global optimization". Cluster Computing, 2021, 24(1): 515-535. （SCI）

4. Zhihui He, Yingqing Lin, Runguo Wei, Cheng Liu, Dazhi Jang, 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. （SCI）

5. 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. （SCI）

6. Zhihui He, Hu Peng, Changshou Deng, Yucheng Tan, Zhijian Wu; Shuangke Wu. A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection[C]//2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019: 1220-1227.

7. Jiali Lin, Qiaomei Li, Guangsheng Lin, Zhihui He, Dazhi Jiang, Hao Liu. An evolutionary adaptive system for prediction of strategy influence: A case study of government regulation guided brand innovation. Complex System Modeling and Simulation, 2022.

8. Dazhi Jiang, Zhihui He, Yifei Chen, Linyan Xu, and Jiali Lin, A Robust and Automatic Method for the Recognition of Speech Category in Online Learning Discourse. Journal of Ambient Intelligence and Humanized Computing. （SCI，under review）

9. Dazhi Jiang, Runguo Wei, Zhihui He, Yingqing Lin, Senlin Lin, Cheng Liu. GASN: Gaussian Distribution Test for Driver Genes Identification based on Similarity Networks[J]. Connection Science. （SCI）

2020级研究生刘豪

科研心得：科研要立足于基础，完善基础理论知识与动手能力。广泛阅读，了解最新的研究方法与思路。不仅要深入自己的研究领域，还要了解相近领域的发展，他山之石可以攻玉。同时，多与老师同学交流学习，弥补自己见识与技术的不足。

发表论文：

1. Dazhi Jiang, Hao Liu, Runguo Wei, Geng Tu*. CSAT-FTCN: A Fuzzy-oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. Cognitive Computing. （SCI）

2. 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. （SCI）

3. Jiali Lin, Qiaomei Li, Guangsheng Lin, Zhihui He, Dazhi Jiang, Hao Liu*. An evolutionary adaptive system for prediction of strategy influence: A case study of government regulation guided brand innovation. Complex System Modeling and Simulation, 2022.

4. Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik, Cambria*. A Multitask Learning Framework for Multimodal Sentiment Analysis. 2021 International Conference on Data Mining Workshops

5. Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jing*. Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. Knowledge-Based Systems, 2022.（SCI，under review）

2020级研究生林映青

研究方向为生物信息学

科研心得：科研开始是一个从0到1的过程，做科研要一步一步走，踏踏实实的，心急吃不了热豆腐！在科研的过程中，学会用“理论”和“实践”两条腿走路，才能让自己走得更稳；学会与同学分享，与导师交流，才能让自己走得更远。

发表论文：

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

2. Dazhi Jiang, Yingqing Lin, Wenhua Zhu, Zhihui He*. A parallel based evolutionary algorithm with primary-auxiliary knowledge[J]. Information Sciences, 2022. (SCI)

3. 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. (SCI)

4. Dazhi Jiang, Runguo Wei, Zhihui He, and Senlin Lin, Chen Liu, Yingqing Lin*. Global Assessment Method for Identifying Driver Genes based on Function Impact Score with Similarity Convolutional Network, Connection Science, 2022. (CCF C)

5. Dazhi Jiang, Runguo Wei, Yingqing Lin, Zhuohua Zhang, Jiali Lin*. EEG multimodal emotion recognition combined with external audio-visual stimuli based on 4D spatial-temporal features. Cognitive Computation, 2022. (SCI, Under Review)

6. Yingqing Lin, Zhihui He, Cheng Liu, Dazhi Jiang*. A driver genes identification method with improved cross-entropy measure[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (SCI, Under Review)