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2020 – today
- 2024
[c12]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: 14704-14712- [c11]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: 1096-1109 - [c10]Yun Yue, Fangzhou Lin
, Guanyi Mou, Ziming Zhang:
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. WACV 2024: 1880-1892 - [i7]Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang:
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. CoRR abs/2404.15523 (2024) - [i6]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. CoRR abs/2409.16671 (2024) - 2023
- [c9]Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV 2023: 14549-14560 - [c8]Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang:
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD 2023: 3185-3194 - [c7]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 - [c6]Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang:
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS 2023 - [c5]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: 39-48 - [i5]Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Contrastive Learning. CoRR abs/2302.01409 (2023) - [i4]Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang:
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR abs/2305.15817 (2023) - [i3]Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang:
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. CoRR abs/2312.01658 (2023) - 2021
- [c4]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c3]Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang:
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS 2021: 25839-25851 - [c2]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: 314-329 - [i2]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 abs/2107.14432 (2021) - 2020
- [c1]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR 2020: 10532-10539 - [i1]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR abs/2010.05397 (2020)
2010 – 2019
- 2016
- [j1]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): 493-506 (2016)
Coauthor Index
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