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Hello, my name is Jiang Li (李江). I'm a doctoral candidate in intelligence science and technology (AI), studying at Huazhong University of Science and Technology (HUST). My current research interests include affective computing (AC), multi-modal learning (MML), and graph-based learning (GL). If you are seeking any form of academic cooperation, please feel free to email me at lijfrank at hust.edu.cn.

I received my bachelor's degree in software engineering in July 2018. After that, I pursued my master's degree in computer technology, which I received in June 2021. During the master's degree program, my research focused on machine learning, recommender systems, and graph neural networks. In the future, I hope to pursue scientific research in the field of artificial intelligence. I have published over 10 papers in academic journals or conferences.

• School of Artificial Intelligence and Automation, HUST.
• Institute of Artificial Intelligence, HUST.
• Brain-inspired Intelligence and Intelligent Control Laboratory, HUST.
• Hubei Key Laboratory of Brain-inspired Intelligent Systems, HUST.
• Key Laboratory of Image Processing and Intelligent Control (HUST), Ministry of Education.

• Personal Pages: https://lijfrank.github.io (updated recently🔥)
• Google Scholar: https://scholar.google.com/citations?user=NesqTz8AAAAJ
• ORCID: https://orcid.org/0000-0002-0116-5662

2024

• 2024.04, one paper has been accepted by TAFFC. 🎉
• 2024.01, one paper has been accepted by KBS. 🎉

2023

• 2023.11, one paper has been accepted by EAAI. 🎉
• 2023.11, one paper has been accepted by SCIS. 🎉
• 2023.11, one paper has been accepted by CBS. 🎉
• 2023.09, one paper has been accepted by CAC 2023. 🎉
• 2023.09, one paper has been accepted by ICTAI 2023. 🎉
• 2023.06, one paper has been accepted by Neurocomputing. 🎉
• 2023.04, one paper has been accepted by CogSci 2023. 🎉
• 2023.03, one paper has been accepted by TAFFC. 🎉
• 2023.03, one paper has been accepted by TMM. 🎉

My full paper list is shown at my personal homepage.

• Jiang Li, Xiaoping Wang, Yingjian Liu, Zhigang Zeng, CFN-ESA: A cross-modal fusion network with emotion-shift awareness for dialogue emotion recognition, IEEE Transactions on Affective Computing (TAFFC), 2024, DOI: 10.1109/TAFFC.2024.3389453. [JCR Q1, IF=11.2, CAAI-A]
• Yingjian Liu†, Jiang Li†, Xiaoping Wang, Zhigang Zeng, EmotionIC: Emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation, SCIENCE CHINA Information Sciences (SCIS), 2023, DOI: 10.1007/s11432-023-3908-6. [co-first author, JCR Q1, IF=8.8, CAAI-A]
• Jiang Li, Xiaoping Wang, Guoqing Lv, Zhigang Zeng, GA2MIF: Graph and attention based two-stage multi-source information fusion for conversational emotion detection, IEEE Transactions on Affective Computing (TAFFC), 2023, DOI: 10.1109/TAFFC.2023.3261279. [JCR Q1, IF=11.2, CAAI-A]
• Jiang Li, Xiaoping Wang, Guoqing Lv, Zhigang Zeng, GraphCFC: A directed graph based cross-modal feature complementation approach for multimodal conversational emotion recognition, IEEE Transactions on Multimedia (TMM), 2023, DOI: 10.1109/TMM.2023.3260635. [JCR Q1, IF=7.3, CAAI-A]