郑沛钧，哈尔滨工业大学（深圳）计算机科学与技术学院博士研究生。本科毕业于哈尔滨工业大学（深圳），硕士毕业于香港城市大学。目前主要从事多模态推荐系统、生成式推荐与智能多媒体分析相关研究。研究兴趣包括多模态序列推荐、大语言模型驱动的推荐系统、视觉语义建模，以及面向大规模视频数据的高效目标轨迹查询与分析。
目前围绕上述方向开展相关研究工作，致力于结合多模态学习、大语言模型与高效数据处理技术，提升智能推荐与多媒体分析系统的准确性、鲁棒性与效率。
Peijun Zheng is a Ph.D. student at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. He received his bachelor’s degree from Harbin Institute of Technology, Shenzhen, and his master’s degree from City University of Hong Kong.
His current research focuses on multimodal recommender systems, generative recommendation, and intelligent multimedia analysis. His research interests include multimodal sequential recommendation, large language model-driven recommender systems, visual semantic modeling, and efficient object trajectory querying and analysis for large-scale video data.
His research aims to integrate multimodal learning, large language models, and efficient data processing techniques to improve the accuracy, robustness, and efficiency of intelligent recommendation and multimedia analysis systems.
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