PBB: a parallel bioinformatics benchmark suite for shared memory multiprocessors. - Wenguang Chen; Chuntao Hong (China HPC, 2007)

Parallelization and Characterization of Probabilistic Latent Semantic Analysis. - Chuntao Hong; Wenguang Chen; Weimin Zheng; Jiulong Shan; Yurong Chen 001; Yimin Zhang 002 (ICPP, 2008)

MapCG: writing parallel program portable between CPU and GPU. - Chuntao Hong; Dehao Chen; Wenguang Chen; Weimin Zheng; Haibo Lin (PACT, 2010)

KuaFu: Closing the parallelism gap in database replication. - Chuntao Hong; Dong Zhou 006; Mao Yang 004; Carbo Kuo; Lintao Zhang; Lidong Zhou (ICDE, 2013)

Rex: replication at the speed of multi-core. - Zhenyu Guo; Chuntao Hong; Mao Yang 004; Dong Zhou 006; Lidong Zhou; Li Zhuang (EuroSys, 2014)

Optimizing Network Performance in Distributed Machine Learning. - Luo Mai; Chuntao Hong; Paolo Costa (HotCloud, 2015)

Taking the Pulse of Financial Activities with Online Graph Processing. - Xiaowei Zhu 001; Zhisong Fu; Zhenxuan Pan; Jin Jiang; Chuntao Hong; Yongchao Liu; Yang Fang; Wenguang Chen; Changhua He (ACM SIGOPS Oper. Syst. Rev., 2021)

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 (ECML/PKDD (6), 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 002 (ECML/PKDD (10), 2024)

Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores. - Heng Lin; Zhiyong Wang; Shipeng Qi; Xiaowei Zhu 001; Chuntao Hong; Wenguang Chen; Yingwei Luo (Big Data Min. Anal., 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)

Graph Triple Attention Network: A Decoupled Perspective. - Xiaotang Wang; Yun Zhu; Haizhou Shi; Yongchao Liu; Chuntao Hong (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)

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 001 (CoRR, 2024)

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 (ACL (1), 2025)

Graph Triple Attention Networks: A Decoupled Perspective. - Xiaotang Wang; Yun Zhu; Haizhou Shi; Yongchao Liu; Chuntao Hong (KDD (1), 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 005; et al. (WWW (Companion Volume), 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 (WWW, 2025)

Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification. - Li Ma 012; Yongchao Liu; Xiaofeng Gao 001; Peng Zhang 001; Chuntao Hong (ACM Trans. Knowl. Discov. Data, 2025)

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. - Runlin Lei; Jiarui Ji; Haipeng Ding 002; Lu Yi 002; Zhewei Wei; Yongchao Liu; Chuntao Hong (CoRR, 2025)

Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs. - Xiabao Wu; Yongchao Liu; Wei Qin; Chuntao Hong (CoRR, 2025)

GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs. - Yue Jin; Yongchao Liu; Chuntao Hong (CoRR, 2025)

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. - Jie Peng 005; Jiarui Ji; Runlin Lei; Zhewei Wei; Yongchao Liu; Chuntao Hong (CoRR, 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 001 (CoRR, 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 005; et al. (CoRR, 2025)