Supervisor of Master's Candidates
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Long Ying is currently an Assistant Professor in the School of Computer and Software, Nanjing University of Information Science & Technology, China. He is a member of CCF and a member of the CCF Technical Committee on Multimedia.
His research areas include [1] Multi-modal Representation Learning (Video Content Understanding, Multimodal Large Language Model), [2] Explainability and Trustworthiness in Deep Learning, [3] Reasoning of Large Language Models.
He graduated in July 2007 with a Bachelor's degree in Bioengineering from the School of Life Sciences, Beijing Institute of Technology, ranking second in the major. He graduated in July 2015 with a Ph.D. in Pattern Recognition and Intelligent Systems from the Multimedia Computing Group (MMC) of the National Laboratory of Pattern Recognition in the Institute of Automation, Chinese Academy of Sciences.
From November 2015 to August 2018, he worked as an algorithm engineer firstly in Huawei Software Co., Ltd., and then in Huatai Securities Co., Ltd. In September 2018, he joined Nanjing University of Information Science & Technology.
In recent years, he has presided over one project supported by the National Natural Science Foundation of China and participated in national scientific research projects. As the first author, he has published several papers in international journals and international conferences.
Projects in recent years:
[1] Project supported by the National Natural Science Foundation of China: Knowledge-driven Interpretable Multimedia Social Event Association, Project No. 61902193, 2020.01-2022.12, 260,000 Yuan. (presided over)
Taught Courses:
"Introduction to Artificial Intelligence", "Machine Learning", "Introduction to Compilers", "Oracle Database System and Application"
University of Chinese Academy of Sciences Pattern Recognition and Intelligent Systems With Certificate of Graduation for Doctorate Study Doctoral Degree
Beijing Institute of Technology Biomedical Engineering With Certificate of Graduation for Study as Master's Candidates Master's Degree
Beijing Institute of Technology Bio-engineering With Certificate of Graduation for Undergraduate Study Bachelor's Degree
Huatai Securities Co., Ltd. IT department Algorithm Engineer
Huawei Software Co., Ltd. Telecom Software Department Algorithm Engineer
PostalAddress : Room 1207, Information technology Building, Nanjing University of Information Science & Technology
Email : lying@nuist.edu.cn
Description of Research Group:
Large language model reasoning based on post-training scaling laws and reinforcement learning on COT.
Multi-modal representation learning, multi-modal fusion, video content analysis, and the application of Multimodal Large Language Models.
使深度学习模型的决策过程变得透明和易于理解。由于深度学习模型通常是高度复杂的黑箱模型,其决策过程对人类来说难以解释,因此需要开发出一系列方法和技术来提高其可解释性。这对于提高模型的可靠性、增加用户的信任度、确保合规性等方面都有重要意义。