I am currently a final-year MPhil student at The Hong Kong Polytechnic University (PolyU) under the supervision of Prof. Jiannong Cao. Prior to that, I was an intern in Amazon Shanghai AI Lab, working with Dr. David Wipf, Dr. Xiang Song, and many great colleagues. I was working as a contributor of the DGL framework and conducting research on Graph Neural Networks related topics. Before joining the Amazon, I was an intern in GAMMA Lab, BUPT, under the supervision of Prof. Chuan Shi. I was working as a contributor of the OpenHGNN framework.

Research Interests

My research interests cover Deep Learning on Graphs and related applications.

Education Experience

• M.Phil at Computing, The Hong Kong Polytechnic University (PolyU), 2024 (expected)
• B.S. at Computing, The Beijing University of Posts and Telecommunications (BUPT), 2022

Publications

• 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang. NeurIPS 2024 D&B Track
• On the Initialization of Graph Neural Networks. Jiahang Li, Yakun Song, Xiang Song, David Wipf. ICML 2023.
• Vision Loss Estimation using Fundus Photograph for High Myopia. Zipei Yan, Dong Liang, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee. MICCAI 2023.
• Network in Graph Neural Network. Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Wipf. Pre-print.

Service

Journal referee SIAM Journal on Mathematics of Data Science (SIMODS)