Xiaobin Hong

According to our database, Xiaobin Hong authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Wave Is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series.

Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu

ACM Trans. Knowl. Discov. Data, April, 2026

EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization.

Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

Proceedings of the ACM Web Conference 2026, 2026

Learnable Matrix Profile for Motif Discovery on Multivariate Time Series.

Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Multimodal Graph Representation Learning with Dynamic Information Pathways.

Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Pets: General Pattern Assisted Architecture For Time Series Analysis.

Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu

CoRR, April, 2025

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting.

Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li

CoRR, March, 2025

MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification.

Xiaobin Hong, Jiangyi Hu, Taishan Xu, Xiancheng Ren, Feng Wu, Xiangkai Ma, Wenzhong Li

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

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation.

Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Unlock the Power of Unlabeled Data in Language Driving Model.

Chaoqun Wang, Jie Yang, Xiaobin Hong, Ruimao Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Semantic-Supervised Spatial-Temporal Fusion for LiDAR-Based 3D Object Detection.

Chaoqun Wang, Xiaobin Hong, Wenzhong Li, Ruimao Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

GCoder: Improving Large Language Model for Generalized Graph Reasoning.

Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Contextual Structure Knowledge Transfer for Graph Neural Networks.

Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Unified Graph Neural Networks Pre-training for Multi-domain Graphs.

Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Global-Semantic Alignment Distillation for Partial Multi-view Classification.

Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Knowledge distillation-driven semi-supervised multi-view classification.

Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, Xiaobin Hong

Inf. Fusion, March, 2024

UTSD: Unified Time Series Diffusion Model.

Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu

CoRR, 2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.

Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li

CoRR, 2024

Scalable Multi-Source Pre-training for Graph Neural Networks.

Mingkai Lin, Wenzhong Li, Xiaobin Hong, Sanglu Lu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis.

Xiangkai Ma, Xiaobin Hong, Sanglu Lu, Wenzhong Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Label Attentive Distillation for GNN-Based Graph Classification.

Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

Variational Gridded Graph Convolution Network for Node Classification.

Xiaobin Hong, Tong Zhang, Zhen Cui, Jian Yang

IEEE CAA J. Autom. Sinica, 2021

Graph Game Embedding.

Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Hyper-walk Gridded Convolution on Graph.

Xiaobin Hong, Tong Zhang, Zhen Cui, Chunyan Xu, Liangfang Zhang, Jian Yang

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Graph inference learning for semi-supervised classification.

Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Graph Wasserstein Correlation Analysis for Movie Retrieval.

Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang

Proceedings of the Computer Vision - ECCV 2020, 2020