[10] Zhong, Qixian#* (2025+) Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation, Journal of Business & Economic Statistics, forthcoming.

[9] Shuai, Duo, Deng, Qiang, Zhong, Wei, Lu, Yang, Zhong, Qixian and Wang, Zhonglei (2025+) Bridging Land and Sea: A Latent Diffusion Framework for High-Resolution Ocean Floor Mapping, Expert Systems With Applications, forthcoming.

[8] Zhou, Hongyi, Su Wenqing, Zhong Qixian* and Yang Ying* (2025+) Semiparametric Inference for Functional Survival Models, Statistica Sinica, forthcoming.

[7] Wang, Jane-Ling* and Zhong, Qixian* (2025) Joint Modeling of Longitudinal and Survival Data, Annual Review of Statistics and Its Application, 12, 449-476.

[6] Hao, Siteng#, Lin, Shu-Chin.#, Wang, Jane-Ling#, and Zhong, Qixian# (2024). Dynamic Modeling for Multivariate Functional and Longitudinal Data, Journal of Econometrics, 239(2): 105573.

[5] Zhong, Qixian, and Wang, Jane-Ling (2024). Neural Networks for Partially Linear Quantile Regression. Journal of Business & Economic Statistics, 42(2): 603-614.

[4] Zhong, Qixian, Mueller, Jonas, and Wang, Jane-Ling (2022). Deep Learning for Partially Linear Cox Model. The Annals of Statistics. 50(3): 1348-1375.

[3] Zhong, Qixian, Mueller, Jonas, and Wang, Jane-Ling (2021). Deep Extended Hazard Models for Survival Analysis. Advances in Neural Information Processing Systems 34 (NeurIPS 2021). 15111-15124.

[2] Lin, Zhenhua#, Wang, Jane-Ling#, and Zhong, Qixian# (2021). Basis Expansions for Functional Snippets. Biometrika. 108(3): 709-726.

[1] Zhang, Xiaoke, Zhong, Qixian, and Wang, Jane-Ling (2020). A New Approach to Varying Coefficient Additive Model with Longitudinal Data. Computational Statistics & Data Analysis. 145.

#Authors contributed equally, *Corresponding author