Chuntao Hong

Orcid: 0009-0009-3472-6102

According to our database1, Chuntao Hong authored at least 25 papers between 2007 and 2025.

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Bibliography

2025
Learning Unified User Quantized Tokenizers for User Representation.
CoRR, August, 2025

M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation.
CoRR, August, 2025

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning.
CoRR, July, 2025

GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs.
CoRR, March, 2025

Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs.
CoRR, March, 2025

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs.
CoRR, March, 2025

Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification.
ACM Trans. Knowl. Discov. Data, February, 2025

GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs.
Proceedings of the ACM on Web Conference 2025, 2025

Transferable and Forecastable User Targeting Foundation Model.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Graph Triple Attention Networks: A Decoupled Perspective.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark.
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.
CoRR, 2024

Graph Retrieval-Augmented Generation: A Survey.
CoRR, 2024

Graph Triple Attention Network: A Decoupled Perspective.
CoRR, 2024

UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks.
CoRR, 2024

Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores.
Big Data Min. Anal., 2024

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2021
Taking the Pulse of Financial Activities with Online Graph Processing.
ACM SIGOPS Oper. Syst. Rev., 2021

2015
Optimizing Network Performance in Distributed Machine Learning.
Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

2014
Rex: replication at the speed of multi-core.
Proceedings of the Ninth Eurosys Conference 2014, 2014

2013
KuaFu: Closing the parallelism gap in database replication.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2010
MapCG: writing parallel program portable between CPU and GPU.
Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques, 2010

2008
Parallelization and Characterization of Probabilistic Latent Semantic Analysis.
Proceedings of the 2008 International Conference on Parallel Processing, 2008

2007
PBB: a parallel bioinformatics benchmark suite for shared memory multiprocessors.
Proceedings of the CHINA HPC 2007, 2007


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