Jitao Zhao

According to our database, Jitao Zhao authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts.

Peiyuan Li, Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Weixiong Zhang

CoRR, May, 2026

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks.

Dongxiao He, Wenxuan Sun, Yongqi Huang, Jitao Zhao, Di Jin

CoRR, February, 2026

Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.

Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang

Proceedings of the ACM Web Conference 2026, 2026

Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.

Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng

Proceedings of the ACM Web Conference 2026, 2026

LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.

Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang

Proceedings of the ACM Web Conference 2026, 2026

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.

Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.

Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang

IEEE Trans. Knowl. Data Eng., June, 2025

Graph contrastive learning with multiple information fusion.

Xiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin

Expert Syst. Appl., 2025

Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.

Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang

Proceedings of the ACM on Web Conference 2025, 2025

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models.

Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.

Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang

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

2024

LBCNet: A lightweight bilateral cascaded feature fusion network for real-time semantic segmentation.

Yuqin Song, Chunliang Shang, Jitao Zhao

J. Supercomput., April, 2024

A multi-stage feature fusion defogging network based on the attention mechanism.

Yuqin Song, Jitao Zhao, Chunliang Shang

J. Supercomput., March, 2024

GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network.

Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng

Inf. Fusion, 2024

FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features.

Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering.

Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.

Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng

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

2023

Contrastive Learning Meets Homophily: Two Birds with One Stone.

Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang

Proceedings of the International Conference on Machine Learning, 2023