| 2026 | WWW | Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades. | Zihan Feng, Yajun Yang, Xin Huang, Xin Wang, Hong Gao, Qinghua Hu |
| 2026 | WWW | LLM-Driven Semantic ID for Information Diffusion Prediction. | Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu |
| 2025 | AAAI | Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. | Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao |
| 2025 | KDD | Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. | Zihan Feng, Yajun Yang, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu |
| 2024 | APWEB | Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. | Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu |
| 2024 | DASFAA | Learning Rules in Knowledge Graphs via Contrastive Learning. | Xiaoyang Feng, Xueli Liu, Yajun Yang, Wenjun Wang, Jun Wang |
| 2024 | DASFAA | Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. | Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu |
| 2023 | DASFAA | MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. | Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu |
| 2023 | ICDM | Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. | Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao |
| 2022 | GLOBECOM | DADEs: 5G Dual-Adaptive Delay-aware and Energy-saving System with Tandem Learning. | Sheng Lin, Chao Qiu, Jingchao Tan, Xiaofei Wang, Yajun Yang, Ying He, Jing Jiang |
| 2022 | IWQoS | Demystifying and Mitigating TCP Capping. | Qingkai Meng, Fengyuan Ren, Tong Zhang, Danfeng Shan, Yajun Yang |
| 2021 | DASFAA | A Multilevel Inference Mechanism for User Attributes over Social Networks. | Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu, Dan Yin |
| 2020 | APWEB | IterG: An Iteratively Learning Graph Convolutional Network with Ontology Semantics. | Xingya Liang, Fuxiang Zhang, Xin Liu, Yajun Yang |
| 2020 | APWEB | An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs. | Zian Pan, Yajun Yang, Qinghua Hu |
| 2020 | DASFAA | PDKE: An Efficient Distributed Embedding Framework for Large Knowledge Graphs. | Sicong Dong, Xin Wang, Lele Chai, Jianxin Li, Yajun Yang |
| 2019 | APWEB | Efficient Distributed Knowledge Representation Learning for Large Knowledge Graphs. | Lele Chai, Xin Wang, Baozhu Liu, Yajun Yang |
| 2019 | DASFAA | KGVis: An Interactive Visual Query Language for Knowledge Graphs. | Xin Wang, Qiang Fu, Jianqiang Mei, Jianxin Li, Yajun Yang |
| 2019 | WISE | OntoDS: An Ontology-Aware Distributed Storage Scheme for RDF Graphs. | Baozhu Liu, Xin Wang, Yajun Yang, Yunpeng Chai |
| 2018 | APWEB | Finding the K Nearest Objects over Time Dependent Road Networks. | Muxi Leng, Yajun Yang, Junhu Wang, Qinghua Hu, Xin Wang |
| 2017 | APWEB | Semantic-Aware Partitioning on RDF Graphs. | Qiang Xu, Xin Wang, Junhu Wang, Yajun Yang, Zhiyong Feng |
| 2016 | APWEB | A Label Inference Method Based on Maximal Entropy Random Walk over Graphs. | Jing Pan, Yajun Yang, Qinghua Hu, Hong Shi |
| 2012 | CIKM | Finding the optimal path over multi-cost graphs. | Yajun Yang, Jeffrey Xu Yu, Hong Gao, Jianzhong Li |
| 2009 | SMC | Study on Blended Learning Approach for English Teaching. | Xiaomei Wang, Yajun Yang, Xin Wen |