Xiaobin Hong - RankMe

31 papers A* 14A 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Wave Is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series. ACM Trans. Knowl. Discov. Data Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2026	A*	`conf`	EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization. WWW Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2026	A*	`conf`	Learnable Matrix Profile for Motif Discovery on Multivariate Time Series. AAAI Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li
2026	A*	`conf`	Multimodal Graph Representation Learning with Dynamic Information Pathways. AAAI Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li
2026	J	`jnl`	Multimodal Graph Representation Learning with Dynamic Information Pathways. CoRR Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li
2025	A*	`conf`	Aggregation Mechanism Based Graph Heterogeneous Networks Distillation. IJCAI Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu
2025	A*	`conf`	Contextual Structure Knowledge Transfer for Graph Neural Networks. AAAI Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu
2025	A	`conf`	GCoder: Improving Large Language Model for Generalized Graph Reasoning. CIKM Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
2025	A*	`conf`	Global-Semantic Alignment Distillation for Partial Multi-view Classification. AAAI Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu
2025	J	`jnl`	MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification. ACM Trans. Knowl. Discov. Data Xiaobin Hong, Jiangyi Hu, Taishan Xu, Xiancheng Ren, Feng Wu, Xiangkai Ma, Wenzhong Li
2025	J	`jnl`	Pets: General Pattern Assisted Architecture For Time Series Analysis. CoRR Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2025	A*	`conf`	Semantic-Supervised Spatial-Temporal Fusion for LiDAR-Based 3D Object Detection. ICRA Chaoqun Wang, Xiaobin Hong, Wenzhong Li, Ruimao Zhang
2025	J	`jnl`	Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection. CoRR Chaoqun Wang, Xiaobin Hong, Wenzhong Li, Ruimao Zhang
2025	A*	`conf`	Unified Graph Neural Networks Pre-training for Multi-domain Graphs. AAAI Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2025	J	`jnl`	Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting. CoRR Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li
2025	A*	`conf`	Unlock the Power of Unlabeled Data in Language Driving Model. ICRA Chaoqun Wang, Jie Yang, Xiaobin Hong, Ruimao Zhang
2025	J	`jnl`	Unlock the Power of Unlabeled Data in Language Driving Model. CoRR Chaoqun Wang, Jie Yang, Xiaobin Hong, Ruimao Zhang
2024	J	`jnl`	A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series. CoRR Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2024	J	`jnl`	GCoder: Improving Large Language Model for Generalized Graph Problem Solving. CoRR Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
2024	J	`jnl`	Knowledge distillation-driven semi-supervised multi-view classification. Inf. Fusion Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, Xiaobin Hong
2024	A*	`conf`	Label Attentive Distillation for GNN-Based Graph Classification. AAAI Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu
2024	A*	`conf`	Scalable Multi-Source Pre-training for Graph Neural Networks. ACM Multimedia Mingkai Lin, Wenzhong Li, Xiaobin Hong, Sanglu Lu
2024	A*	`conf`	TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis. ICDE Xiangkai Ma, Xiaobin Hong, Sanglu Lu, Wenzhong Li
2024	J	`jnl`	UTSD: Unified Time Series Diffusion Model. CoRR Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2021	A*	`conf`	Graph Game Embedding. AAAI Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang
2021	J	`jnl`	Variational Gridded Graph Convolution Network for Node Classification. IEEE CAA J. Autom. Sinica Xiaobin Hong, Tong Zhang, Zhen Cui, Jian Yang
2020	—	`conf`	Fast Hyper-walk Gridded Convolution on Graph. PRCV (3) Xiaobin Hong, Tong Zhang, Zhen Cui, Chunyan Xu, Liangfang Zhang, Jian Yang
2020	J	`jnl`	Graph Inference Learning for Semi-supervised Classification. CoRR Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu
2020	—	`conf`	Graph Wasserstein Correlation Analysis for Movie Retrieval. ECCV (25) Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang
2020	J	`jnl`	Graph Wasserstein Correlation Analysis for Movie Retrieval. CoRR Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang
2020	A*	`conf`	Graph inference learning for semi-supervised classification. ICLR Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu