| 2026 | DASFAA | Investigating Machine Learning Models for Cardinality Estimation: An interactive Approach. | Rui Li, Kangfei Zhao, Mengyu Li, Jeffrey Xu Yu |
| 2026 | ICDE | Prompt-Guided Community Search Under Extreme Few-Shot Supervision. | Wenxin Yang, Kaiyu Feng, Lanting Fang, Kangfei Zhao, Xia Wu |
| 2026 | KDD | Faico: Faithful and Complete Knowledge Graph Augmented Reasoning. | Guo Cheng, Kangfei Zhao, Ke Ye, Pengpeng Qiao, Zhiwei Zhang, Saiguang Che, Shaonan Ma, Mingxing Zhang |
| 2026 | WSDM | ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. | Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong |
| 2025 | CIKM | From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media. | Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao |
| 2025 | ICDE | All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. | Shuheng Fang, Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Zhixun Li |
| 2024 | CIKM | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | ICDE | Feed: Towards Personalization-Effective Federated Learning. | Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang |
| 2023 | ACL | A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. | Jianheng Tang, Kangfei Zhao, Jia Li |
| 2023 | APWEB | Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network. | Zhuang Miao, Fuhui Sun, Xiaoyan Wang, Pengpeng Qiao, Kangfei Zhao, Yadong Wang, Zhiwei Zhang, George Y. Yuan |
| 2023 | CIKM | Geometric Graph Learning for Protein Mutation Effect Prediction. | Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao |
| 2023 | DASFAA | Learning with Small Data: Subgraph Counting Queries. | Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong |
| 2023 | ICDE | Community Search: A Meta-Learning Approach. | Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu |
| 2023 | ICDE | Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. | Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li |
| 2022 | ICDE | How Learning Can Help Complex Cyclic Join Decomposition. | Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu |
| 2022 | ICDE | Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). | Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang |
| 2022 | SIGMOD | Parallel Query Processing: To Separate Communication from Computation. | Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao |
| 2022 | SIGMOD | Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. | Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang |
| 2021 | DASFAA | Towards Expectation-Maximization by SQL in RDBMS. | Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang |
| 2021 | IJCNN | Towards Feature-free TSP Solver Selection: A Deep Learning Approach. | Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong |
| 2021 | SIGMOD | A Learned Sketch for Subgraph Counting. | Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong |
| 2021 | WISE | Graph Ordering: Towards the Optimal by Learning. | Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang |
| 2017 | CIKM | Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. | Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao |
| 2017 | SIGMOD | All-in-One: Graph Processing in RDBMSs Revisited. | Kangfei Zhao, Jeffrey Xu Yu |