Wang, Hailin

5 publications

IJCAI 2025 Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu

IJCAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

NeurIPS 2025 RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation Between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

NeurIPS 2023 Preconditioning Matters: Fast Global Convergence of Non-Convex Matrix Factorization via Scaled Gradient Descent Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng

AAAI 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang