Research & Awards

Research Interests

• Causal Inference
• Semi-supervised Learning
• High-dimensional Statistics
• Machine Learning
• Precision Medicine

Publications

• Jelena Bradic#, Weijie Ji#, and Yuqian Zhang# (2024). High-dimensional inference for dynamic treatment effects. The Annals of Statistics, 52(2), 415-440.
• Yuqian Zhang*, Abhishek Chakrabortty*, and Jelena Bradic* (2023). Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap. Information and Inference: A Journal of the IMA, 12(3), 2066-2159.
• Yuqian Zhang and Jelena Bradic (2022). High-dimensional semi-supervised learning: in search of optimal inference of the mean. Biometrika, 109(2), 387-403. (This paper received the 2021 Best Student Paper Award from the ASA Nonparametric Statistics Section)

Preprints

• Yuqian Zhang and Jelena Bradic (2024). Causal inference through multi-stage learning and doubly robust deep neural networks. arXiv preprint arXiv:2407.08560.
• Yuqian Zhang, Weijie Ji, and Jelena Bradic (2024). Adaptive Split Balancing for Optimal Random Forest. arXiv preprint arXiv:2402.11228.
• Kai Chen and Yuqian Zhang (2023). Enhancing efficiency and robustness in high-dimensional linear regression with additional unlabeled data. arXiv preprint arXiv:2311.17685.
• Yuqian Zhang*, Abhishek Chakrabortty*, and Jelena Bradic* (2023). The Decaying Missing-at-Random Framework: Doubly Robust Causal Inference with Partially Labeled Data. arXiv preprint arXiv:2305.12789.
• Yuqian Zhang, Weijie Ji, and Jelena Bradic (2021). Dynamic treatment effects: high-dimensional inference under model misspecification. arXiv preprint arxiv:2111.06818.

(# alphabetical order, * co-first author, __ supervised student)

Awards and Honors

• Best Student Paper Award (Nonparametric Statistics Section), American Statistical Association, 2021.
• Teaching Assistant Award, Department of Mathematics, UC San Diego, 2019-2020.
• Friends of the International Center Scholarship, UC San Diego, 2019.

Research Grants

• NSFC the Young Scientists Fund. "Statistical Inference based on High-dimensional Semi-supervised Data". PI.
• NSFC the General Fund. "Nonparametric Modeling and Inference for Continuous Treatment Effect". Co-investigator (with Zheng Zhang).

Presentations

• The 2nd International Conference on Machine Learning and Statistics, August 2024
• Joint Conference on Statistics and Data Science in China, July 2024.
• IMS-China International Conference on Statistics and Probability, July 2024.
• ICSA 2024 China Conference, June 2024.
• School of Statistics and Data Science, Nankai University, May 2024.
• School of Management, Fudan University, April 2024.
• School of Statistics and Management, Shanghai University of Finance and Economics, April 2024.
• Chinese Causal Inference Conference, March 2024.
• School of Statistics, Renmin University of China, November 2023.
• IMS New Researcher Conference, August 2023.
• Joint Conference on Statistics and Data Science in China, July 2023.
• ICSA 2023 China Conference, June 2023.
• Chinese Causal Inference Conference, May 2023.
• School of Mathematics and Statistics, Wuhan University, April 2023.
• School of Data Science, The Chinese University of Hong Kong, Shenzhen, March 2023.
• Department of Applied Mathematics, The Hong Kong Polytechnic University, September 2022.
• Interdisciplinary Seminar on "Data Science and Life and Health", October 2022.
• The 5th International Conference on Econometrics and Statistics, June 2022.
• Department of Family Medicine and Public Health, UC San Diego, April 2022.
• ENAR 2022 Spring Meeting, March 2022.
• 2021 Joint Statistical Meetings, August 2021.

Service Activities

• Council Member, Causal Inference Branch of the Chinese Association for Applied Statistics.
• Council Member, Chinese Statistical Association of Young Scholars.