Fengzhi Li received his Bachelor’s degree in applied physics from Beihang University, Beijing, China, in 2018. He is currently a Ph.D candidate in the School of Economics and Management at Beihang University. His research interests mainly include Graph Neural Network, Recommendation Systems, Time Series.

News

• 2022.8.15: The conference paper Modeling Evolution on Temporal Graphs via Continuous Neighbors Aggregation was under review by Association for the Advancement of Artificial Intelligence (AAAI 2022).
• 2022.3.21: The journal paper BoostXML: Gradient Boosting for Extreme Multi-Label Learning with Tail Labels was under review by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Ph.D

• School of Economics and Management, Beihang University

• Beijing, 100191, P. R. China

• Office: A717, New Main Building

• Email: lifengzhi@buaa.edu.cn

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