Graph Wasserstein Correlation Analysis for Movie Retrieval. - Xueya Zhang; Tong Zhang 021; Xiaobin Hong 002; Zhen Cui 001; Jian Yang 003 (ECCV (25), 2020)

Graph inference learning for semi-supervised classification. - Chunyan Xu; Zhen Cui 001; Xiaobin Hong 002; Tong Zhang 021; Jian Yang 003; Wei Liu 005 (ICLR, 2020)

Fast Hyper-walk Gridded Convolution on Graph. - Xiaobin Hong 002; Tong Zhang 021; Zhen Cui 001; Chunyan Xu; Liangfang Zhang; Jian Yang 003 (PRCV (3), 2020)

Graph Game Embedding. - Xiaobin Hong 002; Tong Zhang 021; Zhen Cui 001; Yuge Huang; Pengcheng Shen; Shaoxin Li 001; Jian Yang 003 (AAAI, 2021)

Variational Gridded Graph Convolution Network for Node Classification. - Xiaobin Hong 002; Tong Zhang 021; Zhen Cui 001; Jian Yang 003 (IEEE CAA J. Autom. Sinica, 2021)

Label Attentive Distillation for GNN-Based Graph Classification. - Xiaobin Hong 002; Wenzhong Li; Chaoqun Wang 012; Mingkai Lin; Sanglu Lu (AAAI, 2024)

TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis. - Xiangkai Ma; Xiaobin Hong 002; Sanglu Lu; Wenzhong Li (ICDE, 2024)

Scalable Multi-Source Pre-training for Graph Neural Networks. - Mingkai Lin; Wenzhong Li; Xiaobin Hong 002; Sanglu Lu (ACM Multimedia, 2024)

GCoder: Improving Large Language Model for Generalized Graph Problem Solving. - Qifan Zhang 001; Xiaobin Hong 002; Jianheng Tang; Nuo Chen; Yuhan Li; Wenzhong Li; Jing Tang 004; Jia Li 014 (CoRR, 2024)

A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series. - Xiangkai Ma; Xiaobin Hong 002; Wenzhong Li; Sanglu Lu (CoRR, 2024)

UTSD: Unified Time Series Diffusion Model. - Xiangkai Ma; Xiaobin Hong 002; Wenzhong Li; Sanglu Lu (CoRR, 2024)

Knowledge distillation-driven semi-supervised multi-view classification. - Xiaoli Wang 003; Yongli Wang; Guanzhou Ke; Yupeng Wang 004; Xiaobin Hong 002 (Inf. Fusion, 2024)

Global-Semantic Alignment Distillation for Partial Multi-view Classification. - Xiaoli Wang 003; Anqi Huang; Yongli Wang; Guanzhou Ke; Xiaobin Hong 002; Jun Liu 036 (AAAI, 2025)

Unified Graph Neural Networks Pre-training for Multi-domain Graphs. - Mingkai Lin; Xiaobin Hong 002; Wenzhong Li; Sanglu Lu (AAAI, 2025)

Contextual Structure Knowledge Transfer for Graph Neural Networks. - Zhiyuan Yu; Wenzhong Li; Zhangyue Yin; Xiaobin Hong 002; Shijian Xiao; Sanglu Lu (AAAI, 2025)

MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification. - Xiaobin Hong 002; Jiangyi Hu; Taishan Xu; Xiancheng Ren; Feng Wu; Xiangkai Ma; Wenzhong Li (ACM Trans. Knowl. Discov. Data, 2025)

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting. - Xiaobin Hong 002; Jiawen Zhang; Wenzhong Li; Sanglu Lu; Jia Li 014 (CoRR, 2025)

Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection. - Chaoqun Wang 012; Xiaobin Hong 002; Wenzhong Li; Ruimao Zhang (CoRR, 2025)

Unlock the Power of Unlabeled Data in Language Driving Model. - Chaoqun Wang 012; Jie Yang; Xiaobin Hong 002; Ruimao Zhang (CoRR, 2025)

Pets: General Pattern Assisted Architecture For Time Series Analysis. - Xiangkai Ma; Xiaobin Hong 002; Wenzhong Li; Sanglu Lu (CoRR, 2025)