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)

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. - Yun Yue; Ming Li; Venkatesh Saligrama; Ziming Zhang (ICPR, 2020)

Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. - Ziming Zhang; Guojun Wu; Yanhua Li; Yun Yue; Xun Zhou 001 (ICDM, 2021)

SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. - Ziming Zhang; Yun Yue; Guojun Wu; Yanhua Li; Haichong K. Zhang (NeurIPS, 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 (ECML/PKDD (3), 2021)

Hyperbolic Chamfer Distance for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Songlin Hou; Xuechu Yu; Yajun Xu; Kazunori D. Yamada; Ziming Zhang (ICCV, 2023)

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. - Yun Yue; Jiadi Jiang; Zhiling Ye; Ning Gao; Yongchao Liu; Ke Zhang (KDD, 2023)

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Ziming Zhang; Songlin Hou; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (NeurIPS, 2023)

AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. - Yun Yue; Zhiling Ye; Jiadi Jiang; Yongchao Liu; Ke Zhang (NeurIPS, 2023)

Multi-Aspect Heterogeneous Graph Augmentation. - Yuchen Zhou; Yanan Cao 001; Yongchao Liu; Yanmin Shang; Peng Zhang 001; Zheng Lin 001; Yun Yue; Baokun Wang; Xing Fu; Weiqiang Wang 002 (WWW, 2023)

Hyperbolic Contrastive Learning. - Yun Yue; Fangzhou Lin; Kazunori D. Yamada; Ziming Zhang (CoRR, 2023)

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 (AAAI, 2024)

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. - Guanyi Mou; Yun Yue; Kyumin Lee; Ziming Zhang (ICWSM, 2024)

Understanding Hyperbolic Metric Learning through Hard Negative Sampling. - Yun Yue; Fangzhou Lin; Guanyi Mou; Ziming Zhang (WACV, 2024)

Reinforcement Learning-Driven Intelligent Truck Dispatching Algorithms for Freeway Logistics. - Xiao Jing; Xin Pei; Pengpeng Xu; Yun Yue; Chunyang Han (Complex Syst. Model. Simul., 2024)

EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. - Jialiang Cheng; Ning Gao; Yun Yue; Zhiling Ye; Jiadi Jiang; Jian Sha (ICLR, 2025)

Collaborative Cell Groups: Bridging separation in the Community of Inquiry in a context of Internationalization at a Distance. - Yun Yue; Jeannette Keser; Feng Li; Yishu Liu; Weijuan Yu (Br. J. Educ. Technol., 2025)