Knowledge Graphs in the Quality Use of Antidepressants: A Perspective from Clinical Research Applications. - Weijing Tang; Yu Yang; Zhisheng Huang; Xiaoli Hua (BI, 2017)

Using Knowledge Graph for Analysis of Neglected Influencing Factors of Statin-Induced Myopathy. - Yu Yang; Zhisheng Huang; Yong Han; Xiaoli Hua; Weijing Tang (BI, 2017)

A Flexible Generative Framework for Graph-based Semi-supervised Learning. - Jiaqi Ma 001; Weijing Tang; Ji Zhu; Qiaozhu Mei (NeurIPS, 2019)

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. - Jiaqi Ma 001; Xinyang Yi; Weijing Tang; Zhe Zhao 001; Lichan Hong; Ed H. Chi; Qiaozhu Mei (AISTATS, 2021)

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. - Weijing Tang; Jiaqi Ma 001; Qiaozhu Mei; Ji Zhu (J. Mach. Learn. Res., 2022)

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances. - Lang Zeng; Weijing Tang; Zhao Ren; Ying Ding 003 (CoRR, 2024)

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. - Junwei Deng; Weijing Tang; Jiaqi W. Ma (CoRR, 2024)

GraSS: Scalable Influence Function with Sparse Gradient Compression. - Pingbang Hu; Joseph Melkonian; Weijing Tang; Han Zhao 002; Jiaqi W. Ma (CoRR, 2025)

Faithful Group Shapley Value. - Kiljae Lee; Ziqi Liu; Weijing Tang; Yuan Zhang (CoRR, 2025)

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution. - Yiwen Tu; Ziqi Liu; Jiaqi W. Ma; Weijing Tang (CoRR, 2025)