Weijing Tang

According to our database, Weijing Tang authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generalized Priority-Aware Shapley Value.

Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang

CoRR, May, 2026

First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint.

Ziqi Liu, Kiljae Lee, Yuan Zhang, Weijing Tang

CoRR, May, 2026

Knowledge-Embedded Latent Projection for Robust Representation Learning.

Weijing Tang, Ming Yuan, Zongqi Xia, Tianxi Cai

CoRR, February, 2026

Priority-Aware Shapley Value.

Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang

CoRR, February, 2026

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution.

Yiwen Tu, Ziqi Liu, Jiaqi W. Ma, Weijing Tang

Trans. Mach. Learn. Res., 2026

2025

DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications.

Zebin Wang, Ziming Gan, Weijing Tang, Zongqi Xia, Tianrun Cai, Tianxi Cai, Junwei Lu

CoRR, November, 2025

GraSS: Scalable Influence Function with Sparse Gradient Compression.

Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi W. Ma

CoRR, May, 2025

Faithful Group Shapley Value.

Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss.

Junwei Deng, Weijing Tang, Jiaqi W. Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances.

Lang Zeng, Weijing Tang, Zhao Ren, Ying Ding

CoRR, 2024

2022

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.

Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu

J. Mach. Learn. Res., 2022

2021

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.

Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning.

Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Using Knowledge Graph for Analysis of Neglected Influencing Factors of Statin-Induced Myopathy.

Yu Yang, Zhisheng Huang, Yong Han, Xiaoli Hua, Weijing Tang

Proceedings of the Brain Informatics - International Conference, 2017

Knowledge Graphs in the Quality Use of Antidepressants: A Perspective from Clinical Research Applications.

Weijing Tang, Yu Yang, Zhisheng Huang, Xiaoli Hua

Proceedings of the Brain Informatics - International Conference, 2017