Improving ESVM with Generalized Cross-Validation. - Tianshu Feng; Fuzhen Zhuang; Qing He 003 (IJCNN, 2015)

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. - Xinyu Wu; Ping Luo 001; Qing He 003; Tianshu Feng; Fuzhen Zhuang (SDM, 2015)

Dynamic Inspection of Latent Variables in State-Space Systems. - Tianshu Feng; Xiaoning Qian; Kaibo Liu; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2019)

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. - Tianshu Feng; Jaime I. Dávila; Yuanhang Liu; Sangdi Lin; Shuai Huang 001; Chen Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. - Qiang Meng; Feng Zhou 002; Hainan Ren; Tianshu Feng; Guochao Liu; Yuanqing Lin (ICLR, 2022)

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. - Vijayan N. Nair; Tianshu Feng; Linwei Hu; Zach Zhang; Jie Chen 054; Agus Sudjianto (CoRR, 2022)

Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights. - Tianshu Feng; Zhipu Zhou; Tarun Joshi; Vijayan N. Nair (CoRR, 2022)

A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. - Yuqing Zhou; Tianshu Feng; Mingrui Liu; Ziwei Zhu 001 (CIKM, 2023)

Nonparametric Automatic Differentiation Variational Inference with Spline Approximation. - Yuda Shao; Shan Yu; Tianshu Feng (AISTATS, 2024)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. - Tianshu Feng; Rohan Gnanaolivu; Abolfazl Safikhani; Yuanhang Liu; Jun Jiang; Nicholas Chia; Alexander Partin; Priyanka Vasanthakumari; Yitan Zhu; Chen Wang (CoRR, 2024)

Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights. - Zelin Wang; Tianshu Feng; Abolfazl Safikhani; Emre Tepe (Comput. Environ. Urban Syst., 2025)