Kangfei Zhao

63 papers A* 7A 5B 1Journal 39Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm.
CoRR
Nan Hou, Kangfei Zhao, Jiadong Xie, Jeffrey Xu Yu
2026 — conf
Faico: Faithful and Complete Knowledge Graph Augmented Reasoning.
KDD (1)
Guo Cheng, Kangfei Zhao, Ke Ye, Pengpeng Qiao, Zhiwei Zhang, Saiguang Che, Shaonan Ma, Mingxing Zhang
2026 A conf
ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.
WSDM
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2026 J jnl
Scalable Topology-Preserving Graph Coarsening with Graph Collapse.
CoRR
Xiang Wu, Rong-Hua Li, Xunkai Li, Kangfei Zhao, Hongchao Qin, Guoren Wang
2026 J jnl
Sema: A High-performance System for LLM-based Semantic Query Processing.
CoRR
Kangkang Qi, Dongyang Xie, Wenbo Li, Hao Zhang, Yuanyuan Zhu, Jeffrey Xu Yu, Kangfei Zhao
2025 J jnl
A Survey of Graph Transformers: Architectures, Theories and Applications.
CoRR
Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, Liang Wang, Tingyang Xu, Wenbing Huang, Deli Zhao, Hong Cheng, Yu Rong
2025 A* conf
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
ICDE
Shuheng Fang, Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Zhixun Li
2025 J jnl
Aquila: A High-Concurrency System for Incremental Graph Query.
Proc. VLDB Endow.
Ziqi Zou, Hao Zhang, Jiaxin Yao, Kangfei Zhao, Zhiwei Zhang, Sen Gao, Jingpeng Hao, Ye Yuan, Guoren Wang
2025 J jnl
Authenticated Subgraph Matching on Large-Scale Graphs in Hybrid-Storage Blockchains.
IEEE Trans. Knowl. Data Eng.
Siyu Li, Zhiwei Zhang, Kai Zhong, Kangfei Zhao, Meihui Zhang, Ye Yuan, Guoren Wang
2025 J jnl
Can Large Language Models Be Query Optimizer for Relational Databases?
CoRR
Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025 J jnl
Can Large Language Models Be Query Optimizer for Relational Databases?
Proc. ACM Manag. Data
Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025 J jnl
Fast and Accurate Antibody Sequence Design via Structure Retrieval.
CoRR
Xingyi Zhang, Kun Xie, Ningqiao Huang, Wei Liu, Peilin Zhao, Sibo Wang, Kangfei Zhao, Biaobin Jiang
2025 A conf
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media.
CIKM
Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao
2025 J jnl
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media.
CoRR
Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao
2025 J jnl
Natural Language-Assisted Multi-modal Medication Recommendation.
CoRR
Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2025 J jnl
PLACE: Prompt Learning for Attributed Community Search.
CoRR
Shuheng Fang, Kangfei Zhao, Rener Zhang, Yu Rong, Jeffrey Xu Yu
2025 J jnl
ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.
CoRR
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2025 J jnl
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning.
CoRR
Xiang Wu, Xunkai Li, Rong-Hua Li, Kangfei Zhao, Guoren Wang
2024 J jnl
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
CoRR
Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu
2024 J jnl
CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution.
CoRR
Rui Li, Kangfei Zhao, Jeffrey Xu Yu, Guoren Wang
2024 J jnl
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction.
IEEE J. Biomed. Health Informatics
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
2024 A* conf
Feed: Towards Personalization-Effective Federated Learning.
ICDE
Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang
2024 J jnl
Inductive Attributed Community Search: to Learn Communities across Graphs.
Proc. VLDB Endow.
Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu
2024 A conf
Natural Language-Assisted Multi-modal Medication Recommendation.
CIKM
Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2024 J jnl
Solving the non-submodular network collapse problems via Decision Transformer.
Neural Networks
Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
2023 — conf
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
ACL (Findings)
Jianheng Tang, Kangfei Zhao, Jia Li
2023 J jnl
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
CoRR
Jianheng Tang, Kangfei Zhao, Jia Li
2023 A* conf
Community Search: A Meta-Learning Approach.
ICDE
Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu
2023 J jnl
Computing Graph Edit Distance via Neural Graph Matching.
Proc. VLDB Endow.
Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng
2023 — conf
Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network.
APWeb/WAIM (4)
Zhuang Miao, Fuhui Sun, Xiaoyan Wang, Pengpeng Qiao, Kangfei Zhao, Yadong Wang, Zhiwei Zhang, George Y. Yuan
2023 J jnl
Finding Critical Users in Social Communities via Graph Convolutions.
IEEE Trans. Knowl. Data Eng.
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2023 A conf
Geometric Graph Learning for Protein Mutation Effect Prediction.
CIKM
Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
2023 J jnl
Learned sketch for subgraph counting: a holistic approach.
VLDB J.
Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong
2023 — conf
Learning with Small Data: Subgraph Counting Queries.
DASFAA (3)
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong
2023 J jnl
Learning with Small Data: Subgraph Counting Queries.
Data Sci. Eng.
Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong
2023 A* conf
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
ICDE
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
2023 J jnl
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
CoRR
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
2022 J jnl
Community Search: Learn from Small Data.
CoRR
Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu
2022 A* conf
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract).
ICDE
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2022 A* conf
How Learning Can Help Complex Cyclic Join Decomposition.
ICDE
Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu
2022 — conf
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process.
SIGMOD Conference
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang
2022 — conf
Parallel Query Processing: To Separate Communication from Computation.
SIGMOD Conference
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao
2022 J jnl
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network.
CoRR
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
2022 J jnl
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow.
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2022 J jnl
Transformer for Graphs: An Overview from Architecture Perspective.
CoRR
Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
2021 — conf
A Learned Sketch for Subgraph Counting.
SIGMOD Conference
Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong
2021 — conf
Graph Ordering: Towards the Optimal by Learning.
WISE (1)
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang
2021 J jnl
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2021 J jnl
SQL-G: Efficient Graph Analytics by SQL.
IEEE Trans. Knowl. Data Eng.
Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang
2021 — conf
Towards Expectation-Maximization by SQL in RDBMS.
DASFAA (2)
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021 J jnl
Towards Expectation-Maximization by SQL in RDBMS.
CoRR
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021 B conf
Towards Feature-free TSP Solver Selection: A Deep Learning Approach.
IJCNN
Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong
2021 J jnl
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process.
CoRR
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Hao Zhang
2020 A* conf
Dirichlet Graph Variational Autoencoder.
NeurIPS
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Dirichlet Graph Variational Autoencoder.
CoRR
Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Distributed Subgraph Counting: A General Approach.
Proc. VLDB Endow.
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng
2020 J jnl
Graph Ordering: Towards the Optimal by Learning.
CoRR
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
2020 J jnl
Leveraging TSP Solver Complementarity via Deep Learning.
CoRR
Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu
2019 J jnl
Interactive natural language question answering over knowledge graphs.
Inf. Sci.
Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao
2017 — conf
All-in-One: Graph Processing in RDBMSs Revisited.
SIGMOD Conference
Kangfei Zhao, Jeffrey Xu Yu
2017 J jnl
Graph Processing in RDBMSs.
IEEE Data Eng. Bull.
Kangfei Zhao, Jeffrey Xu Yu
2017 A conf
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph.
CIKM
Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao
2015 — conf
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search.
NLPCC
Jing Li, Zhongyu Wei, Hao Wei, Kangfei Zhao, Junwen Chen, Kam-Fai Wong