本科就读于哈尔滨工业大学(威海),现为哈尔滨工业大学(深圳)计算机科学与技术学院硕士研究生。主要研究方向为时间序列分析与预测、生成式模型及其应用,重点关注时间序列表示学习、概率预测等问题。相关研究成果发表于数据挖掘领域国际会议 ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2026)。目前致力于探索更加高效、可靠的时序建模与预测方法。
I received my bachelor’s degree from Harbin Institute of Technology, Weihai, and am currently pursuing a master’s degree at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. My research interests include time series analysis and forecasting, generative models, and their applications, with a particular focus on time series representation learning and probabilistic forecasting. My research has been published at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026). I am currently interested in developing efficient and reliable approaches for time series modeling and forecasting.
在「发表论著」页面查找 Hanbin Xiao 的论文 Search for Hanbin Xiao's papers on the Research page