| A fairness-aware graph contrastive learning recommender framework for social tagging systems C Xu, Y Zhang, H Chen, L Dong, W Wang Information Sciences 640, 119064, 2023 | 19 | 2023 |
| Pursuit and evasion strategy of a differential game based on deep reinforcement learning C Xu, Y Zhang, W Wang, L Dong Frontiers in Bioengineering and Biotechnology 10, 827408, 2022 | 15 | 2022 |
| Training-free multi-objective diffusion model for 3d molecule generation X Han, C Shan, Y Shen, C Xu, H Yang, X Li, D Li The Twelfth International Conference on Learning Representations, 2023 | 12 | 2023 |
| Geometric-facilitated denoising diffusion model for 3D molecule generation C Xu, H Wang, W Wang, P Zheng, H Chen Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 338-346, 2024 | 11 | 2024 |
| LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation Y Zhang, C Xu, XJ Wu, Y Zhang, LG Dong, W Wang arXiv preprint arXiv:2208.03454, 2022 | 3 | 2022 |
| A Structure Redefined Graph Pretraining With Contrastive Prompting for Fake News Detection H Wang, P Tang, L Zhou, C Shi, C Xu, P Zheng, S Yan, C Wu IEEE Transactions on Computational Social Systems, 2025 | 1 | 2025 |
| Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph Y Zhao, J Zhu, C Xu, X Li arXiv preprint arXiv:2412.15268, 2024 | 1 | 2024 |
| Diffusion-based graph generative methods H Chen, C Xu, L Zheng, Q Zhang, X Lin IEEE Transactions on Knowledge and Data Engineering 36 (12), 7954 - 7972, 2024 | 1 | 2024 |
| Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering H Wang, C Xu, C Shi, P Zheng, S Zhang, M Cheng, H Chen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Improving Graph Out-of-distribution Generalization on Real-world Data C Xu, Y Cheng, J Yu, H Wang, J Lv, X Li arXiv preprint arXiv:2407.10204, 2024 | 1 | 2024 |
Hongyang Chen(陈红阳), FIET, IEEE DLZhejiang Lab, ChinaVerified email at ieee.org
