😊 About me
Hello! I am Cuiying Huo, an Assistant Professor at Tianjin University. In January 2025, I obtained my Ph.D. degree from Tianjin University, supervised by Prof. Di Jin (金弟). From October 2023 to October 2024, I was a visiting Ph.D. student at Nanyang Technological University (NTU), supervised by Prof. Gao Cong (丛高). Prior to that, I obtained my B.S. degree from Yanshan University in 2019.
My research interests include graph machine learning, graph neural networks, complex network analysis, and their applications.
🥇 Honors and Awards
- The Web Conference 2021, Best Paper Award Runner-Up, 2021
📚 Services
- Conference PC member: IJCAI, NeurIPS, WWW, ICLR, ICML
- Journal reviewer: TPAMI, TNNLS, TKDD, TWEB, TNSE, TBD, Pattern Recognition, …
📝 Publications
IEEE TKDE 2025Distill & Contrast: A New Graph Self-Supervised Method with Approximating Nature Data Relationships, Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang. (CCF A类期刊长文)WWW 2025LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction, Di Jin, Cuiying Huo#(Corresponding Author), Jiayi Shi, Dongxiao He#,Jianguo Wei, Philip S. Yu. (CCF A类会议长文)AAAI 2025Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation, Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin. (CCF A类会议长文)ACM TIST 2024Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning, Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang. (JCR Q1)ACM TOIS 2024PEPT: Expert Finding Meets Personalized Pre-training, Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang. (CCF A类期刊)IJCAI 2024Graph collaborative expert finding with contrastive learning, Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao. (CCF A类会议长文)AAAI 2024A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning, Dongxiao He, Jitao Zhao, Cuiying Huo#(Corresponding Author), Yongqi Huang, Yuxiao Huang, Zhiyong Feng#. (CCF A类会议长文)World Wide Web 2024Bridging Distribution Gaps: Invariant Pattern Discovery for Dynamic Graph Learning, Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen. (CCF B类期刊)IEEE TNNLS 2023TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature, Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu. (JCR Q1)AAAI 2023T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation, Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu. (CCF A类会议长文)WWW 2023KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks, Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu. (CCF A类会议长文)KSEM 2023Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models, Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang. (CCF C类会议长文)IEEE TNNLS 2022Analyzing Heterogeneous Networks with Missing Attributes by Unsupervised Contrastive Learning, Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang. (JCR Q1)WWW 2021Heterogeneous Graph Neural Network via Attribute Completion, Di Jin, Cuiying Huo, Chundong Liang, Liang Yang. (CCF A类会议长文, Best Paper Award Runner-Up)NeurIPS 2021Universal Graph Convolutional Networks, Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han. (CCF A 类会议长文)