Jitao Zhao

21 papers A* 10Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks.
CoRR
Dongxiao He, Wenxuan Sun, Yongqi Huang, Jitao Zhao, Di Jin
2026 A* conf
LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.
WWW
Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026 J jnl
LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.
CoRR
Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026 A* conf
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.
AAAI
Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026 J jnl
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.
CoRR
Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026 A* conf
Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.
WWW
Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng
2026 A* conf
Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.
WWW
Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2025 J jnl
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang
2025 A* conf
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
AAAI
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 J jnl
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 J jnl
Graph contrastive learning with multiple information fusion.
Expert Syst. Appl.
Xiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin
2025 J jnl
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng
2025 A* conf
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
WWW
Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2025 J jnl
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
CoRR
Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2024 A* conf
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.
AAAI
Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
2024 J jnl
A multi-stage feature fusion defogging network based on the attention mechanism.
J. Supercomput.
Yuqin Song, Jitao Zhao, Chunliang Shang
2024 A* conf
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering.
NeurIPS
Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang
2024 A* conf
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features.
NeurIPS
Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng
2024 J jnl
GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network.
Inf. Fusion
Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng
2024 J jnl
LBCNet: A lightweight bilateral cascaded feature fusion network for real-time semantic segmentation.
J. Supercomput.
Yuqin Song, Chunliang Shang, Jitao Zhao
2023 A* conf
Contrastive Learning Meets Homophily: Two Birds with One Stone.
ICML
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang