Weijing Tang - RankMe

17 papers A* 2A 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Knowledge-Embedded Latent Projection for Robust Representation Learning. CoRR Weijing Tang, Ming Yuan, Zongqi Xia, Tianxi Cai
2026	J	`jnl`	Priority-Aware Shapley Value. CoRR Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang
2025	A*	`conf`	A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. ICML Junwei Deng, Weijing Tang, Jiaqi W. Ma
2025	J	`jnl`	DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications. CoRR Zebin Wang, Ziming Gan, Weijing Tang, Zongqi Xia, Tianrun Cai, Tianxi Cai, Junwei Lu
2025	J	`jnl`	Faithful Group Shapley Value. CoRR Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang
2025	J	`jnl`	GraSS: Scalable Influence Function with Sparse Gradient Compression. CoRR Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi W. Ma
2025	J	`jnl`	Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution. CoRR Yiwen Tu, Ziqi Liu, Jiaqi W. Ma, Weijing Tang
2024	J	`jnl`	A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. CoRR Junwei Deng, Weijing Tang, Jiaqi W. Ma
2024	J	`jnl`	Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances. CoRR Lang Zeng, Weijing Tang, Zhao Ren, Ying Ding
2022	J	`jnl`	SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. J. Mach. Learn. Res. Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
2021	A	`conf`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2020	J	`jnl`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2020	J	`jnl`	SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. CoRR Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
2019	A*	`conf`	A Flexible Generative Framework for Graph-based Semi-supervised Learning. NeurIPS Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
2019	J	`jnl`	A Flexible Generative Framework for Graph-based Semi-supervised Learning. CoRR Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
2017	—	`conf`	Knowledge Graphs in the Quality Use of Antidepressants: A Perspective from Clinical Research Applications. BI Weijing Tang, Yu Yang, Zhisheng Huang, Xiaoli Hua
2017	—	`conf`	Using Knowledge Graph for Analysis of Neglected Influencing Factors of Statin-Induced Myopathy. BI Yu Yang, Zhisheng Huang, Yong Han, Xiaoli Hua, Weijing Tang