Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. - Wangbin Sun; Fei Ma 006; Yang Li 104; Shao-Lun Huang; Shiguang Ni; Lin Zhang 001 (ICASSP, 2021)

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. - Yuansheng Wang; Wangbin Sun; Kun Xu; Zulun Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2022)

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (CoRR, 2022)

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (KDD, 2023)

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. - Jintang Li; Wangbin Sun; Ruofan Wu; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2023)

FastGCL: Fast Self-Supervised Graph Learning for Service Understanding. - Huizhe Zhang; Wangbin Sun; Liang Chen (ICWS, 2024)

Rethinking and Simplifying Bootstrapped Graph Latents. - Wangbin Sun; Jintang Li; Liang Chen 001; Bingzhe Wu; Yatao Bian; Zibin Zheng (WSDM, 2024)