Short Biography I am an associate professor at Shanghai Jiao Tong University. I received my PhD degree from Tsinghua University, where I was co-advised by Prof. Xiaojun Ye and Prof. Chaokun Wang. Before that, I obtained my bachelor degree and master degree from Beijing Jiaotong University, advised by Prof. Yao Zhao. During 2018-2021, I was as an assistant professor in Computer Science at USTB; I also was awarded as a "Macao Young Scholars Program" postdoctor advised by Prof. Zhiguo Gong during 2019.11-2021.08. Together with these distinguished academics, we developed some useful graph mining algorithms such as the source detection method LPSI and the GNN method RECT.
*Hot [招生] 以“数据”为核心开展数据挖掘和数据库两个方向的研究,学生可以根据兴趣自由选择,这里你的路会越走越宽,欢迎对数据研究感兴趣的同学联系我~(更多)
*New Now, we can classify the nodes from those classes that have never been seen, see our KDD21 paper.
*New Our method RECT [TKDE20] has been officially
recommended in the famous GNN libraries DGL and PyG.
*New Tutorial on Zero-shot Graph Embedding given in International Young Scholars Forum at RUC is avaliable [slides].
1) Data mining: graph neural networks, large model, deep learning and AI.
2) Database: AI and blockchain related data management.
For students: “Data” is the center of my research. If you are interested in designing/implementing meaningful, simple, and robust data management algorithms/tools, welcome to contact me (read more).
Zero-shot Graph Embedding (ZGE) refers to the process of learning discriminative graph embeddings when labeled data cannot cover all classes.
DETAIL*2021-now: Zhichao Luo, Bowen Zhang, Jiacheng Wei
*2020-now: Jialong Wang (PhD, UM) and Zhe Kan (PhD, SJTU)
*2019-2021: Hongming Ding, Chengzuo Hu, and Ruihang Shao (graduate, USTB)
*2018-2020: Jian Cui, Yingying Chen (graduate, USTB)
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