Toward Optimal Repair and Load Balance in Locally Repairable Codes. - Hao Zhao; Si Wu 003; Haifeng Liu 004; Zhixiang Tang; Xiaochun He; Yinlong Xu (ICPP, 2023)

GENet: Guidance Enhancement Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

GLCNet: Global-Local Complementary Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

UGTransformer: Unsupervised Graph Transformer Representation Learning. - Lixiang Xu; Haifeng Liu 004; Qingzhe Cui; Bin Luo 001; Ning Li; Yan Chen 037; Yuanyan Tang (IJCNN, 2023)

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. - Wuchao Li; Chao Feng 008; Defu Lian; Yuxin Xie; Haifeng Liu 004; Yong Ge; Enhong Chen (KDD, 2023)

Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. - Jiayu Liu 001; Zhenya Huang; Zhiyuan Ma 006; Qi Liu 003; Enhong Chen; Tianhuang Su; Haifeng Liu 004 (KDD, 2023)

Enhancing the Completeness of Rationales for Multi-Step Question Answering. - Shangzi Xue; Zhenya Huang; Xin Lin 005; Jiayu Liu 001; Longhu Qin; Tianhuang Su; Haifeng Liu 004; Qi Liu 003 (CIKM, 2024)

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. - Xin Lin 005; Tianhuang Su; Zhenya Huang; Shangzi Xue; Haifeng Liu 004; Enhong Chen (WWW, 2024)

GraKerformer: A Transformer With Graph Kernel for Unsupervised Graph Representation Learning. - Lixiang Xu; Haifeng Liu 004; Xin Yuan 008; Enhong Chen; Yuanyan Tang (IEEE Trans. Cybern., 2024)