Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search. - Jing Li 049; Zhongyu Wei; Hao Wei; Kangfei Zhao; Junwen Chen; Kam-Fai Wong (NLPCC, 2015)

Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. - Weiguo Zheng; Hong Cheng 001; Lei Zou 001; Jeffrey Xu Yu; Kangfei Zhao (CIKM, 2017)

All-in-One: Graph Processing in RDBMSs Revisited. - Kangfei Zhao; Jeffrey Xu Yu (SIGMOD Conference, 2017)

Graph Processing in RDBMSs. - Kangfei Zhao; Jeffrey Xu Yu (IEEE Data Eng. Bull., 2017)

Interactive natural language question answering over knowledge graphs. - Weiguo Zheng; Hong Cheng 001; Jeffrey Xu Yu; Lei Zou 001; Kangfei Zhao (Inf. Sci., 2019)

Dirichlet Graph Variational Autoencoder. - Jia Li 009; Jianwei Yu; Jiajin Li; Honglei Zhang; Kangfei Zhao; Yu Rong 001; Hong Cheng 001; Junzhou Huang (NeurIPS, 2020)

Graph Ordering: Towards the Optimal by Learning. - Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Junzhou Huang; Hao Zhang 098 (CoRR, 2020)

Leveraging TSP Solver Complementarity via Deep Learning. - Kangfei Zhao; Shengcai Liu; Yu Rong 001; Jeffrey Xu Yu (CoRR, 2020)

Dirichlet Graph Variational Autoencoder. - Jia Li 009; Tomas Yu; Jiajin Li; Honglei Zhang; Kangfei Zhao; Yu Rong 001; Hong Cheng 001; Junzhou Huang (CoRR, 2020)

Distributed Subgraph Counting: A General Approach. - Hao Zhang 098; Jeffrey Xu Yu; Yikai Zhang 001; Kangfei Zhao; Hong Cheng 001 (Proc. VLDB Endow., 2020)

Towards Expectation-Maximization by SQL in RDBMS. - Kangfei Zhao; Jeffrey Xu Yu; Yu Rong 001; Ming Liao; Junzhou Huang (DASFAA (2), 2021)

Towards Feature-free TSP Solver Selection: A Deep Learning Approach. - Kangfei Zhao; Shengcai Liu; Jeffrey Xu Yu; Yu Rong 001 (IJCNN, 2021)

A Learned Sketch for Subgraph Counting. - Kangfei Zhao; Jeffrey Xu Yu; Hao Zhang 098; Qiyan Li 002; Yu Rong 001 (SIGMOD Conference, 2021)

Graph Ordering: Towards the Optimal by Learning. - Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Wenbing Huang 001; Junzhou Huang; Hao Zhang 098 (WISE (1), 2021)

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. - Yuli Jiang; Yu Rong 001; Hong Cheng 001; Xin Huang 001; Kangfei Zhao; Junzhou Huang (CoRR, 2021)

Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. - Kangfei Zhao; Jeffrey Xu Yu; Zongyan He; Hao Zhang 098 (CoRR, 2021)

SQL-G: Efficient Graph Analytics by SQL. - Kangfei Zhao; Jiao Su; Jeffrey Xu Yu; Hao Zhang 098 (IEEE Trans. Knowl. Data Eng., 2021)

How Learning Can Help Complex Cyclic Join Decomposition. - Hao Zhang 098; Qiyan Li 002; Kangfei Zhao; Jeffrey Xu Yu; Yuanyuan Zhu 001 (ICDE, 2022)

Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). - Kangfei Zhao; Zhiwei Zhang; Yu Rong 001; Jeffrey Xu Yu; Junzhou Huang (ICDE, 2022)

Parallel Query Processing: To Separate Communication from Computation. - Hao Zhang 098; Jeffrey Xu Yu; Yikai Zhang 001; Kangfei Zhao (SIGMOD Conference, 2022)

Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. - Kangfei Zhao; Jeffrey Xu Yu; Zongyan He; Rui Li; Hao Zhang 098 (SIGMOD Conference, 2022)

Community Search: Learn from Small Data. - Shuheng Fang; Kangfei Zhao; Guanghua Li; Jeffrey Xu Yu (CoRR, 2022)

Transformer for Graphs: An Overview from Architecture Perspective. - Erxue Min; Runfa Chen; Yatao Bian; Tingyang Xu; Kangfei Zhao; Wenbing Huang 001; Peilin Zhao; Junzhou Huang; Sophia Ananiadou; Yu Rong 001 (CoRR, 2022)

Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. - Yiqiang Yi; Xu Wan; Kangfei Zhao; Le Ou-Yang; Peilin Zhao (CoRR, 2022)

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. - Yuli Jiang; Yu Rong 001; Hong Cheng 001; Xin Huang 001; Kangfei Zhao; Junzhou Huang (Proc. VLDB Endow., 2022)

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. - Jianheng Tang; Kangfei Zhao; Jia Li 009 (ACL (Findings), 2023)

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 (APWeb/WAIM (4), 2023)

Geometric Graph Learning for Protein Mutation Effect Prediction. - Kangfei Zhao; Yu Rong 001; Biaobin Jiang; Jianheng Tang; Hengtong Zhang; Jeffrey Xu Yu; Peilin Zhao (CIKM, 2023)

Community Search: A Meta-Learning Approach. - Shuheng Fang; Kangfei Zhao; Guanghua Li; Jeffrey Xu Yu (ICDE, 2023)

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. - Jianheng Tang; Weiqi Zhang; Jiajin Li; Kangfei Zhao; Fugee Tsung; Jia Li 009 (ICDE, 2023)

Computing Graph Edit Distance via Neural Graph Matching. - Chengzhi Piao; Tingyang Xu; Xiangguo Sun; Yu Rong 001; Kangfei Zhao; Hong Cheng 001 (Proc. VLDB Endow., 2023)

Finding Critical Users in Social Communities via Graph Convolutions. - Kangfei Zhao; Zhiwei Zhang; Yu Rong 001; Jeffrey Xu Yu; Junzhou Huang (IEEE Trans. Knowl. Data Eng., 2023)

Learning with Small Data: Subgraph Counting Queries. - Kangfei Zhao; Zongyan He; Jeffrey Xu Yu; Yu Rong 001 (Data Sci. Eng., 2023)

Learned sketch for subgraph counting: a holistic approach. - Kangfei Zhao; Jeffrey Xu Yu; Qiyan Li 002; Hao Zhang 098; Yu Rong 001 (VLDB J., 2023)

Natural Language-Assisted Multi-modal Medication Recommendation. - Jie Tan; Yu Rong 001; Kangfei Zhao; Tian Bian; Tingyang Xu; Junzhou Huang; Hong Cheng 001; Helen Meng (CIKM, 2024)

Feed: Towards Personalization-Effective Federated Learning. - Pengpeng Qiao; Kangfei Zhao; Bei Bi; Zhiwei Zhang; Ye Yuan 001; Guoren Wang (ICDE, 2024)

CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution. - Rui Li; Kangfei Zhao; Jeffrey Xu Yu; Guoren Wang (CoRR, 2024)

Solving the non-submodular network collapse problems via Decision Transformer. - Kaili Ma 001; Han Yang 002; Shanchao Yang; Kangfei Zhao; Lanqing Li; Yongqiang Chen 002; Junzhou Huang; James Cheng; Yu Rong 001 (Neural Networks, 2024)

Inductive Attributed Community Search: to Learn Communities across Graphs. - Shuheng Fang; Kangfei Zhao; Yu Rong 001; Zhixun Li; Jeffrey Xu Yu (Proc. VLDB Endow., 2024)

Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. - Yiqiang Yi; Xu Wan; Kangfei Zhao; Le Ou-Yang; Peilin Zhao (IEEE J. Biomed. Health Informatics, 2024)

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. - Shuheng Fang; Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Zhixun Li (ICDE, 2025)

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning. - Xiang Wu; Xunkai Li; Rong-Hua Li; Kangfei Zhao; Guoren Wang (CoRR, 2025)

Can Large Language Models Be Query Optimizer for Relational Databases? - Jie Tan; Kangfei Zhao; Rui Li; Jeffrey Xu Yu; Chengzhi Piao; Hong Cheng 001; Helen Meng; Deli Zhao; Yu Rong 001 (CoRR, 2025)

A Survey of Graph Transformers: Architectures, Theories and Applications. - Chaohao Yuan; Kangfei Zhao; Ercan Engin Kuruoglu; Liang Wang; Tingyang Xu; Wenbing Huang 001; Deli Zhao; Hong Cheng 001; Yu Rong 001 (CoRR, 2025)

Fast and Accurate Antibody Sequence Design via Structure Retrieval. - Xingyi Zhang 003; Kun Xie 010; Ningqiao Huang; Wei Liu 005; Peilin Zhao; Sibo Wang 001; Kangfei Zhao; Biaobin Jiang (CoRR, 2025)

PLACE: Prompt Learning for Attributed Community Search. - Shuheng Fang; Kangfei Zhao; Rener Zhang; Yu Rong 001; Jeffrey Xu Yu (CoRR, 2025)