Chuntao Hong

According to our database, Chuntao Hong authored at least 29 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Rethinking and Benchmarking Large Language Models for Graph Reasoning.

Yuwei Hu, Xinyi Huang, Zhewei Wei, Yongchao Liu, Chuntao Hong

CoRR, September, 2025

Learning Unified User Quantized Tokenizers for User Representation.

Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao

CoRR, August, 2025

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

Chuan He, Yongchao Liu, Qiang Li, Wenliang Zhong, Chuntao Hong, Xin Yao

CoRR, August, 2025

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

Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong

CoRR, July, 2025

The LDBC Financial Benchmark: Transaction Workload.

Shipeng Qi, Bing Tong, Jiatao Hu, Heng Lin, Yue Pang, Wei Yuan, Songlin Lyu, Zhihui Guo, Ke Huang, Xujin Ba, Qiang Yin, Youren Shen, Yan Zhou, Tao Lv, Jia Li, Lei Zou, Yongwei Wu, Gábor Szárnyas, Xiaowei Zhu, Wenguang Chen, Chuntao Hong

Proc. VLDB Endow., May, 2025

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

Yue Jin, Yongchao Liu, Chuntao Hong

CoRR, March, 2025

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

Xiabao Wu, Yongchao Liu, Wei Qin, Chuntao Hong

CoRR, March, 2025

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

Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong

CoRR, March, 2025

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

Li Ma, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong

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

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

Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang

Proceedings of the ACM on Web Conference 2025, 2025

Transferable and Forecastable User Targeting Foundation Model.

Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong

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

Graph Triple Attention Networks: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

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.

Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao

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.

Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang

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.

Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao

CoRR, 2024

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

Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang

CoRR, 2024

Graph Retrieval-Augmented Generation: A Survey.

Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang

CoRR, 2024

Graph Triple Attention Network: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

CoRR, 2024

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

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

CoRR, 2024

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

Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

Big Data Min. Anal., 2024

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.

Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

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.

Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang

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

2021

Taking the Pulse of Financial Activities with Online Graph Processing.

Xiaowei Zhu, Zhisong Fu, Zhenxuan Pan, Jin Jiang, Chuntao Hong, Yongchao Liu, Yang Fang, Wenguang Chen, Changhua He

ACM SIGOPS Oper. Syst. Rev., 2021

2015

Optimizing Network Performance in Distributed Machine Learning.

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.

Zhenyu Guo, Chuntao Hong, Mao Yang, Dong Zhou, Lidong Zhou, Li Zhuang

Proceedings of the Ninth Eurosys Conference 2014, 2014

2013

KuaFu: Closing the parallelism gap in database replication.

Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou

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

2010

MapCG: writing parallel program portable between CPU and GPU.

Chuntao Hong, Dehao Chen, Wenguang Chen, Weimin Zheng, Haibo Lin

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

2008

Parallelization and Characterization of Probabilistic Latent Semantic Analysis.

Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong Shan, Yurong Chen, Yimin Zhang

Proceedings of the 2008 International Conference on Parallel Processing, 2008

2007

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

Wenguang Chen, Chuntao Hong

Proceedings of the CHINA HPC 2007, 2007