Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification. - Qiyu Li; Xianxian Li; Haodong Qian; De Li; Jinyan Wang (ICPADS, 2023)

RLGNN: Robust Graph Neural Networks with Noisy Label Learning. - Haodong Qian; De Li; Qiyu Li; Jinyan Wang (ISPA, 2024)

FedRGL: Robust Federated Graph Learning for Label Noise. - De Li; Haodong Qian; Qiyu Li; Zhou Tan; Zemin Gan; Jinyan Wang; Xianxian Li (CoRR, 2024)

Contrastive learning of graphs under label noise. - Xianxian Li; Qiyu Li; De Li; Haodong Qian; Jinyan Wang (Neural Networks, 2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. - Xingcheng Fu; Yisen Gao; Beining Yang; Yuxuan Wu; Haodong Qian; Qingyun Sun; Xianxian Li (AAAI, 2025)

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. - Tianyu Chen; Xingcheng Fu; Yisen Gao; Haodong Qian; Yuecen Wei; Kun Yan; Haoyi Zhou; Jianxin Li 002 (CVPR, 2025)