Zhizhi Yu 于智郅
Ph.D & Assistant Professor
Zhizhi Yu (于智郅) is currently an assistant professor in Tianjin University (TJU), China. She received BA, ME degree from Jilin University, and Ph.D degree from Tianjin University. Her supervisor was Prof. Di Jin (金弟). Her research interests include graph machine learning, graph neural networks, complex network analysis, e-commerce search and recommendation system. She has published many papers in highly regarded journals and conferences, such as NeurIPS, WWW, ICDM, IJCAI, AAAI, IEEE TNNLS, IEEE TKDE, etc.
Education
PhD in College of Intelligence and Computing, Tianjin University, China
MS in College of Computer Science and Technology, Jilin University, China
BS in College of Computer Science and Technology, Jilin University, China
Awards
IEEE International Conference on Data Mining 2021, Best Student Paper Award Runner-Up, 2021
Excellent PhD graduate of Tianjin University, 2023
Excellent PhD Thesis of Tianjin University, 2023
Publications [DBLP]
Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng. "LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling both Homophily and Heterophily". IJCAI-2024.（CCF A类会议长文）
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu*, Weixiong Zhang. "Generalized Taxonomy-Guided Graph Neural Networks". IJCAI-2024.（CCF A类会议长文）
Yawen Li, Zhizhi Yu*, Dongxiao He. "Text-Rich Graph Neural Networks with Subjective-Objective Semantic Modeling". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.（CCF A类期刊）
Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu*, Guangquan Xu, Zhiyong Feng. "Improving Distinguishability of Class for Graph Neural Networks". AAAI-2024. (CCF A类会议长文)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu*, Dongxiao He, Yuxiao Huang. "Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models". KSEM-2023. (CCF C类会议长文)
Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu. "TeKo: Text-rich graph neural network with external knowledge". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (JCR 一区期刊，IF. 14.255)
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu. "KGTrust: Evaluating trustworthiness of SIoT via knowledge enhanced graph neural networks". WWW-2023. (CCF A类会议长文）
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang. "A survey of community detection approaches: From statistical modeling to deep learning". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.（CCF A类期刊）
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han. "GCN for HIN via implicit utilization of attention and meta-paths". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.（CCF A类期刊）
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han. "Embedding text-rich graph neural networks with sequence and topical semantic structures". Knowledge and Information Systems (KAIS), 2023.（CCF B类期刊）
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang. "Graph neural network for higher-order dependency networks". WWW-2022.（CCF A类会议长文）
Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang. "Identification of communities with multi-semantics via bayesian generative model". IEEE Transactions on Big Data, 2022.（SCI 二区期刊，IF. 4.271）
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han. "AS-GCN: Adaptive semantic architecture of graph convolutional networks for text-rich networks". ICDM-2021. (CCF B类会议长文，最佳学生论文奖Runner-Up)
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han. "Universal graph convolutional networks". NeurIPS-2021.（CCF A类会议长文）
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han. "BiTe-GCN: A new GCN architecture via bidirectional convolution of topology and features on text-rich networks". WSDM-2021.（CCF B类会议长文）