Yun Yue

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Chamfer Distance

Regularization Term

Locally Optimal

Top Venues

Publications

Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji
Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI (2024)
Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang
Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. ICWSM (2024)
Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. CoRR (2024)
Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. WACV (2024)
Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD (2023)
Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. CoRR (2023)
Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS (2023)
Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
Multi-Aspect Heterogeneous Graph Augmentation. WWW (2023)
Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang
Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV (2023)
Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang
Hyperbolic Contrastive Learning. CoRR (2023)
Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS (2023)
Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR (2023)
Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM (2021)
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. CoRR (2021)
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. ECML/PKDD (3) (2021)
Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS (2021)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR (2020)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR (2020)
Minjing Peng, Yun Yue, Bo Li, Chunyang Wang
A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services. Int. J. Comput. Commun. Control 11 (4) (2016)