Yun Yue

According to our database, Yun Yue authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.

Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Integer Is Enough: When Vertical Federated Learning Meets Rounding.

Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hyperbolic Contrastive Learning.

Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang

CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.

Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang

Proceedings of the ACM Web Conference 2023, 2023

AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix.

Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term.

Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.

Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization.

Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System.

Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm.

Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2016

A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services.

Minjing Peng, Yun Yue, Bo Li, Chunyang Wang

Int. J. Comput. Commun. Control, 2016