Chuntao Hong

Orcid: 0009-0009-3472-6102

According to our database¹, Chuntao Hong authored at least 36 papers between 2007 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., March, 2026

Graph Retrieval-Augmented Generation: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., February, 2026

Text2GQL-Bench: A Text to Graph Query Language Benchmark [Experiment, Analysis & Benchmark].

[BibT_eX]

[DOI]

CoRR, February, 2026

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.

[BibT_eX]

[DOI]

CoRR, February, 2026

Tabular Foundation Models are Strong Graph Anomaly Detectors.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

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

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving.

[BibT_eX]

[DOI]

CoRR, November, 2025

Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses.

[BibT_eX]

[DOI]

CoRR, October, 2025

Rethinking and Benchmarking Large Language Models for Graph Reasoning.

[BibT_eX]

[DOI]

CoRR, September, 2025

Learning Unified User Quantized Tokenizers for User Representation.

[BibT_eX]

[DOI]

CoRR, August, 2025

M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation.

[BibT_eX]

[DOI]

CoRR, August, 2025

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

The LDBC Financial Benchmark: Transaction Workload.

[BibT_eX]

[DOI]

Proc. VLDB Endow., May, 2025

GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs.

[BibT_eX]

[DOI]

Yue Jin

Yongchao Liu

Chuntao Hong

CoRR, March, 2025

Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs.

[BibT_eX]

[DOI]

CoRR, March, 2025

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Transferable and Forecastable User Targeting Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Graph Triple Attention Networks: A Decoupled Perspective.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Triple Attention Network: A Decoupled Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Big Data Min. Anal., 2024

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2021

Taking the Pulse of Financial Activities with Online Graph Processing.

[BibT_eX]

[DOI]

ACM SIGOPS Oper. Syst. Rev., 2021

2015

Optimizing Network Performance in Distributed Machine Learning.

[BibT_eX]

[DOI]

Luo Mai

Chuntao Hong

Paolo Costa

Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

2014

Rex: replication at the speed of multi-core.

[BibT_eX]

[DOI]

Proceedings of the Ninth Eurosys Conference 2014, 2014

2013

KuaFu: Closing the parallelism gap in database replication.

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[DOI]

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2010

MapCG: writing parallel program portable between CPU and GPU.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques, 2010

2008

Parallelization and Characterization of Probabilistic Latent Semantic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conference on Parallel Processing, 2008

2007

PBB: a parallel bioinformatics benchmark suite for shared memory multiprocessors.

[BibT_eX]

[DOI]

Wenguang Chen

Chuntao Hong

Proceedings of the CHINA HPC 2007, 2007

Chuntao Hong

Timeline

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