Yun Yue - RankMe

30 papers A* 9A 2B 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Collaborative Cell Groups: Bridging separation in the Community of Inquiry in a context of Internationalization at a Distance. Br. J. Educ. Technol. Yun Yue, Jeannette Keser, Feng Li, Yishu Liu, Weijuan Yu
2025	A*	`conf`	EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. ICLR Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha
2025	J	`jnl`	EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis. CoRR Yusheng Liao, Chaoyi Wu, Junwei Liu, Shuyang Jiang, Pengcheng Qiu, Haowen Wang, Yun Yue, Shuai Zhen, Jian Wang, Qianrui Fan, Jinjie Gu, Ya Zhang, Yanfeng Wang, Yu Wang, Weidi Xie
2025	J	`jnl`	Evolving Diagnostic Agents in a Virtual Clinical Environment. CoRR Pengcheng Qiu, Chaoyi Wu, Junwei Liu, Qiaoyu Zheng, Yusheng Liao, Haowen Wang, Yun Yue, Qianrui Fan, Shuai Zhen, Jian Wang, Jinjie Gu, Yanfeng Wang, Ya Zhang, Weidi Xie
2025	J	`jnl`	Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment. CoRR Haowen Wang, Yun Yue, Zhiling Ye, Shuowen Zhang, Lei Fan, Jiaxin Liang, Jiadi Jiang, Cheng Wei, Jingyuan Deng, Xudong Han, Ji Li, Chunxiao Guo, Peng Wei, Jian Wang, Jinjie Gu
2025	J	`jnl`	MedResearcher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework. CoRR Ailing Yu, Lan Yao, Jingnan Liu, Zhe Chen, Jiajun Yin, Yuan Wang, Xinhao Liao, Zhiling Ye, Ji Li, Yun Yue, Hansong Xiao, Hualei Zhou, Chunxiao Guo, Peng Wei, Junwei Liu, Jinjie Gu
2025	J	`jnl`	Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO. CoRR Haoyang Hong, Jiajun Yin, Yuan Wang, Jingnan Liu, Zhe Chen, Ailing Yu, Ji Li, Zhiling Ye, Hansong Xiao, Yefei Chen, Hualei Zhou, Yun Yue, Minghui Yang, Chunxiao Guo, Junwei Liu, Peng Wei, Jinjie Gu
2025	J	`jnl`	Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning. CoRR Zhiling Ye, Yun Yue, Haowen Wang, Xudong Han, Jiadi Jiang, Cheng Wei, Lei Fan, Jiaxin Liang, Shuowen Zhang, Ji Li, Chunxiao Guo, Jian Wang, Peng Wei, Jinjie Gu
2024	J	`jnl`	EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. CoRR Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha
2024	A*	`conf`	Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji
2024	J	`jnl`	Reinforcement Learning-Driven Intelligent Truck Dispatching Algorithms for Freeway Logistics. Complex Syst. Model. Simul. Xiao Jing, Xin Pei, Pengpeng Xu, Yun Yue, Chunyang Han
2024	A	`conf`	Understanding Hyperbolic Metric Learning through Hard Negative Sampling. WACV Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
2024	J	`jnl`	Understanding Hyperbolic Metric Learning through Hard Negative Sampling. CoRR Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
2024	A	`conf`	Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. ICWSM Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang
2024	J	`jnl`	Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. CoRR Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang
2023	A*	`conf`	AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
2023	J	`jnl`	AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. CoRR Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
2023	A*	`conf`	Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang
2023	J	`jnl`	Hyperbolic Contrastive Learning. CoRR Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang
2023	A*	`conf`	InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2023	A*	`conf`	Multi-Aspect Heterogeneous Graph Augmentation. WWW Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
2023	A*	`conf`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
2023	J	`jnl`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
2021	—	`conf`	Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. ECML/PKDD (3) Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021	J	`jnl`	Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. CoRR Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021	A*	`conf`	Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
2021	A*	`conf`	SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang
2020	B	`conf`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2020	J	`jnl`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2016	J	`jnl`	A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services. Int. J. Comput. Commun. Control Minjing Peng, Yun Yue, Bo Li, Chunyang Wang