Sun, Haoliang

11 publications

IJCAI 2025 Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin

CVPR 2025 SeqMvRL: A Sequential Fusion Framework for Multi-View Representation Learning Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng

IJCAI 2025 Spatio-Temporal Prototype-Based Hierarchical Learning for OD Demand Prediction Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong

AAAI 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin

MLJ 2024 Correction: Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

MLJ 2024 Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

CVPR 2023 Fine-Grained Classification with Noisy Labels Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin

CVPR 2023 MetaViewer: Towards a Unified Multi-View Representation Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin

ECCV 2022 Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin

ICML 2020 Learning to Learn Kernels with Variational Random Features Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

CVPR 2017 Learning Deep Match Kernels for Image-Set Classification Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li