Neural-Symbolic Reasoning on Knowledge Graphs. - Jing Zhang; Bo Chen; Lingxi Zhang; Xirui Ke; Haipeng Ding 002 (CoRR, 2020)

Neural, symbolic and neural-symbolic reasoning on knowledge graphs. - Jing Zhang; Bo Chen; Lingxi Zhang; Xirui Ke; Haipeng Ding 002 (AI Open, 2021)

Optimizing Random Access to Hierarchically-Compressed Data on GPU. - Feng Zhang 007; Yihua Hu; Haipeng Ding 002; Zhiming Yao; Zhewei Wei; Xiao Zhang 001; Xiaoyong Du 001 (SC, 2022)

Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. - Yihua Hu; Feng Zhang 007; Yifei Xia; Zhiming Yao; Letian Zeng; Haipeng Ding 002; Zhewei Wei; Xiao Zhang 001; Jidong Zhai; Xiaoyong Du 001; Siqi Ma (IEEE Trans. Parallel Distributed Syst., 2023)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (KDD (1), 2025)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (CoRR, 2025)

Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (IEEE Trans. Knowl. Data Eng., 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)