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, under the supervision of Prof. Di Jin (金弟). Her postdoctoral advisor is Prof. Jianguo Wei (魏建国). 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.
于智郅，天津大学智能与计算学部助理研究员，一直从事智能信息处理、社交网络分析、图神经网络及其应用等方面的研究，在本领域顶级期刊/会议上发表论文20余篇，以第一作者获得国际数据挖掘顶会ICDM 2021最佳学生论文奖亚军奖，入选国家资助博士后研究人员计划C档。主持国家自然科学基金青年项目1项，博士后科学基金面上项目1项，国家重点研发计划子课题1项等。长期担任TKDE、NeurIPS、KDD、ICML、AAAI、IJCAI等CCF A类期刊/会议审稿人；担任中国中文信息学会社会媒体处理专业委员会委员。
Call for graduate and undergraduate students! I hope you are dedicated, determined and have basic programming and math skills. Please feel free to contact me via email yuzhizhi@tju.edu.cn.💻 Experiences
- 2023.06 - now, Assistant Professor, Tianjin University
📝 Publications (*Corresponding author)
2025
Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. AAAI-2025.（CCF A类会议长文）
Ling Ding, Lei Huang, Zhizhi Yu*, Di Jin, Dongxiao He. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. AAAI-2025.（CCF A类会议长文）
Siqi Liu, Dongxiao He, Zhizhi Yu*, Di Jin, Zhiyong Feng. "Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks". Expert Systems With Applications, 2025.（SCI一区期刊）
Songyuan Lei, Xinglong Chang, Zhizhi Yu*, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin*. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. AAAI-2025.（CCF A类会议长文）
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. AAAI-2025.（CCF A类会议长文）
2024
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), 2024. (JCR一区期刊，IF. 14.255)
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）
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）
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）
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)
Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin. Joint Domain Adaptive Graph Convolutional Network. IJCAI-2024. (CCF A类会议长文)
2023
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）
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, 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)
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）
2022 and Before
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）
🎖 Honors and 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
📖 Educations
- 2019.09 - 2023.06, PhD in College of Intelligence and Computing, Tianjin University, China.
- 2016.09 - 2019.06, MS in College of Computer Science and Technology, Jilin University, China.
- 2012.09 - 2016.07, BS in College of Computer Science and Technology, Jilin University, China.