| 2026 | SP | Can I Get More? An Incremental Inference Attack on Encrypted SQL. | Xiaoqian Sun, Ruiqi He, Yang Zhang, Siyi Lv, Guiyun Qin, Fangzhou Yi, Zheli Liu, Xiaofeng Chen |
| 2025 | CIKM | Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. | Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng |
| 2025 | ICDM | Credit Risk Forecasting Through the Synergy of Large Language Models and Graph Learning. | Shuoling Liu, Yiran Shan, Hui Wu, Xiaoqian Sun, Jianqiu Deng, Xiangyu Wang |
| 2025 | WSDM | LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He |
| 2023 | CIKM | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | WWW | Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng |
| 2022 | KDD | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |