Qiang Wu (吴强)

Publications

(* Corresponding author, # Co-first author)

Published or Accepted Papers

1. Wu Q.#, Du M.#, Ma S.*, Zhao X.* (2026). Efficient estimation for deep generalized accelerated hazards models with interval-censored data. Biometrics, 82(3), ujag140.
2. Su W.#, Wu Q.#, Liu K., Yin G., Huang J., Zhao X.* (2026). Nonparametric inference for censored data using deep neural networks. Journal of the Royal Statistical Society Series B: Statistical Methodology , qkag060.
3. Huang Q.#, Feng A.#, Wu Q.*, Tong X. (2026). Deep Learning for the change-point Cox model with current status data. Lifetime Data Analysis , 32(14).
4. Wu Q., Tong X., Sun J.*, Li M. (2025). A longitudinal complex likelihood ratio test for pleiotropy. Communications in Statistics-Theory and Methods , 54(1), 280–295.
5. Jiang Q., Li M., Tong X., Wu Q., Zhang X.* (2025). Random change point model with an application to the potato's contribution to population. Empirical Economics , 68(5), 2455–2474.
6. Wu Q., Tong X., Zhao X.* (2024). Deep partially linear Cox model for current status data. Biometrics, 80(2), ujae024.
7. Wu Q., Tong X., Duan X.* (2024). Exclusive hypothesis testing for Cox's proportional hazards model. Journal of Systems Science and Complexity , 37(5), 2157–2172.
8. Du M.#, Wu Q.#, Tong X., Zhao X.* (2024). Deep learning for regression analysis of interval-censored data. Electronic Journal of Statistics , 18(2), 4292–4321.
9. Wu Q., Zhong S.*, Tong X. (2022). Genetic pleiotropy test by quasi p-value with application to typhoon data in China. Journal of Systems Science and Complexity , 35(4), 1557–1572.

Research Projects

• National Natural Science Foundation of China (Youth Fund) (Grant No. 12501387)
  Statistical inference theory and methods for interval-censored data based on deep learning
  Role: Principal Investigator (PI) | Period: Jan 2026 – Dec 2028

Presentations & Talks

• Invited Address: Deep Nonparametric Inference for Interval-Censored Data
  ICSA 2026 China Conference
  Southern University of Science and Technology, Guangdong, China | Jun 27–29, 2026
• Invited Address: Deep Nonparametric Inference for Interval-Censored Data
  The International Conference on Frontiers in Probability and Statistics
  Jiangsu Normal University, Jiangsu, China | Jun 11-13, 2026
• Invited Address: Deep generalized accelerated hazards model with interval-censored data
  2024 The 16th National Symposium on Survival Analysis and Applied Statistics
  Zhejiang Gongshang University, Zhejiang, China | Nov 15–17, 2024
• Invited Address: Deep generalized accelerated hazards model with interval-censored data
  ICSA 2024 China Conference
  Zhongnan University of Economics and Law, Hubei, China | Jun 28–30, 2024
• Invited Address: Complex likelihood ratio test for genetic pleiotropy with model free assumption
  The BNU-GWU Summer Statistics Research Forum
  Beijing Normal University, Beijing, China | Jun 2–4, 2021