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个人简介
Spatio-temporal graphs can abstractly represent most things in reality. I devote myself to designing neural networks for representation learning on spatio-temporal graphs, and using the learned representations to empower various scenarios. My research interests include (spatio-temporal) graph neural networks, language models, recommender systems, traffic forecasting, et al. I am strongly self-motivated and aim to pursue cutting-edge AI research. I have published several peer-reviewed papers in top venues such as NeurIPS, KDD, WWW, IEEE TKDE, EMNLP, AAAI, and IJCAI. I have also served as a PC member/reviewer for conferences/journals like AAAI, LOG, TOIS, TKDD, TNNLS, and Neural Networks.
研究兴趣
论文共 20 篇作者统计合作学者相似作者
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CoRRno. 99 (2023): 1-13
CoRR (2023): 10316-10333
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