Author

Chuntao Hong

Observed names: Chun-Tao Hong, Hong, Chuntao

Observed institutions: Microsoft (United States), Peking University, Microsoft Research Asia (China), Antea Group (France), Ant Group (China), Tsinghua University

ORCID: 0009-0009-3472-6102

Observed ORCID: 0009-0009-3472-6102

OpenAlex ID: A5055553785

Graph Retrieval-Augmented Generation: A Survey

2025 · Boci Peng, Yun Zhu, et al. · ACM Transactions on Information Systems · 211

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MapCG

2010 · Chuntao Hong, Dehao Chen, et al. · International Conference on Parallel Architectures and Compilation Techniques (PACT) · 130

Rex

2014 · Zhenyu Guo, Chuntao Hong, et al. · European Conference on Computer Systems · 56

Optimizing network performance in distributed machine learning

2015 · Luo Mai, Chuntao Hong, et al. · IEEE International Conference on Cloud Computing Technology and Science · 51

KuaFu: Closing the parallelism gap in database replication

2013 · Chuntao Hong, Dong Zhou, et al. · IEEE International Conference on Data Engineering (ICDE) · 28

Minerva: A Scalable and Highly Efficient Training Platform for Deep Learning

2014 · Minjie Wang, Tianjun Xiao, et al. · neural information processing systems · 18

GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

2025 · Yun Zhu, Haizhou Shi, et al. · International World Wide Web Conference (WWW) · 16

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Providing Source Code Level Portability Between CPU and GPU with MapCG

2012 · Chun-Tao Hong, De-Hao Chen, et al. · Journal of Computer Science and Technology · 14

Parallelization and Characterization of Probabilistic Latent Semantic Analysis

2008 · Chuntao Hong, Wenguang Chen, et al. · Proceedings of the International Conference on Parallel Processing · 12

Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores

2023 · Heng Lin, Zhiyong Wang, et al. · Big Data Mining and Analytics · 10

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The LDBC Financial Benchmark: Transaction Workload

2025 · Shipeng Qi, Bing Tong, et al. · Proceedings of the VLDB Endowment · 5

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs

2024 · Sheng Tian, Xintan Zeng, et al. · Lecture notes in computer science · 4

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Taking the Pulse of Financial Activities with Online Graph Processing

2021 · Xiaowei Zhu, Zhisong Fu, et al. · ACM SIGOPS Operating Systems Review · 4

Paxos Made Parallel

2012 · Zhenyu Guo, Chuntao Hong, et al. · 3

Graph Triple Attention Networks: A Decoupled Perspective

2025 · Xiaotang Wang, Yun Zhu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2

Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification

2024 · Li Ma, Yongchao Liu, et al. · ACM Transactions on Knowledge Discovery from Data · 2

Tabular Foundation Models are Strong Graph Anomaly Detectors

2026 · Yunhui Liu, Tieke He, et al. · International World Wide Web Conference (WWW) · 1

Characterizing Parallel Subgraph Matching Performance: A Systematic Study of Interactions, Scalability, and Enumeration

2026 · Tao Yu, Zhijie Zhang, et al. · Proceedings of the VLDB Endowment · 1

Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering

2024 · Boci Peng, Yongchao Liu, et al. · Lecture notes in computer science · 1

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PBB

2007 · Wenguang Chen, Chuntao Hong · ATIP Workshop on High Performance Computing in China · 1

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FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation

2026 · Chuan He, Yang Chen, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

PGMiner: A Load-Aware Dynamic Graph Pattern Matching Approach on GPUs

2026 · Yu Zhang, Yuluo Guo, et al. · IEEE Transactions on Knowledge and Data Engineering

DGS: A GPU-based Adaptive Graph Sampling Framework

2026 · Junyi Mei, Shixuan Sun, et al. · ACM Transactions on Architecture and Code Optimization

Beyond Maximum Common Subgraph: A Framework Maximizing Shared Computation for Multi-Query Subgraph Matching

2026 · Zhijie Zhang, Sitao Yang, et al. · Proceedings of the ACM on Management of Data

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning

2026 · Yunhui Liu, Yongchao Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Works count: 36

Citation count: 570

H-index: 10

I10-index: 10