Faithful Group Shapley Value
K. Lee*, Z. Liu*, W. Tang, and Y. Zhang
arXiv preprint (2025)
[arXiv]
Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution
Y. Tu*, Z. Liu*, J. Ma, and W. Tang.
arXiv preprint (2025)
[arXiv]
GraSS: Scalable Influence Function with Sparse Gradient Compression
P. Hu, J. Melkonian, W. Tang, H. Zhao, and J. Ma
arXiv preprint (2025)
[arXiv]
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
J. Deng, W. Tang, and J. Ma
The 42nd International Conference on Machine Learning (2025). (ICML'25).
[arXiv]
Nonparametric Inference for Balance in Signed Networks.
X. Chen*, Y. Wang*, and W. Tang
arXiv preprint (2024)
[arXiv]
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidance.
L. Zeng, W. Tang, Z. Ren, and Y. Ding
arXiv preprint (2024)
[arXiv]
Minimax Regret Learning for Data with Heterogeneous Subgroups.
W. Mo*, W. Tang*, S. Xue, Y. Liu, and J. Zhu
arXiv preprint (2024)
[arXiv]
Population-level Balance in Signed Networks.
W. Tang and J. Zhu
Journal of the American Statistical Association: Theory and Methods (JASA) (2024+)
[Journal][arXiv][Code]
(An earlier version of this paper received ASA SLDS Section 2021 Student Paper Award.)
Survival Analysis via Ordinary Differential Equations.
W. Tang, K. He, G. Xu, and J. Zhu
Journal of the American Statistical Association: Theory and Methods (JASA) (2023), 118(544), 2406-2421.
[Journal][arXiv][Code]
(An earlier version of this paper received ASA Nonparametric Statistics Section 2020 Student Paper Award and ENAR 2021 Distinguished Student Paper Award.)
SODEN: A Scalable Continuous-time Survival Model through Ordinary Differential Equation Networks.
W. Tang*, J. Ma*, Q. Mei, and J. Zhu
Journal of Machine Learning Research (JMLR) (2022), 23(34):1-29.
[Journal] [arXiv] [Code]
Learning-to-rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
J. Ma, X. Yi, W. Tang, Z. Zhao, L. Hong, E.H. Chi, and Q. Mei
The 24th International Conference on Artificial Intelligence and Statistics (2021). (AISTATS'21).
[arXiv]
Semi-supervised Joint Learning for Longitudinal Clinical Events Classification Using Neural Network Models.
W. Tang, J. Ma, A.K. Waljee, and J. Zhu
Stat (2020), e305. (Special issue on deep learning)
[Journal]
A Flexible Generative Framework for Graph-based Semi-supervised Learning.
J. Ma*, W. Tang*, J. Zhu, and Q. Mei
The Annual Conference on Neural Information Processing Systems 32 (2019). (NeurIPS'19).
[Proceedings] [Code]
Machine Learning Methodologies to Predict Disease Progression in Chronic Hepatitis B in Africa.
H. Desalegn, X. Yang, Y. Yen, N. Berhe, B. Kenney, G.H. Siwo, W. Tang, J. Zhu, A. Johannessen, and A.K. Waljee
Hepatology Communications (2024), 8(12):e0584.
[Journal]
Greater Geographic Sharing and Heart Transplantation Waitlist Outcomes Following the 2018 Heart Allocation Policy.
J. Golbus, J. Li, T. Cascino, W. Tang, J. Zhu, M. Colvin, M. Walsh, and B. Nallamothu
Journal of Heart and Lung Transplantation (2023), 42(7), 936-942.
[Journal]
Digestive Manifestations in Patients Hospitalized with COVID-19.
B.J. Elmunzer and DMC19 Collaborators (on behalf of the North American Alliance for the Study of Digestive Manifestation of COVID-19) [including W. Tang]
Clinical Gastroenterology and Hepatology (2020), 19(7), 1355-1365.
[Journal]
Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients with Hepatitis C Cirrhosis.
G.N. Ioannou*, W. Tang*, L.A. Beste, M.A. Konerman, G.L. Su, T. Van, E.B. Tapper, A.G. Singal, J. Zhu, and A.K. Waljee
JAMA Network Open (2020), 3(9):e2015626.
[Journal]