Research & Awards
Research Interests
- Causal Inference
- Semi-supervised Learning
- High-dimensional Statistics
- Machine Learning
- Precision Medicine
Publications
- Kai Chen and Yuqian Zhang (2025). Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions. Biometrics, 81(3), ujaf113. (Kai Chen received the Second Prize for Outstanding Papers in the the 8th National Statistics Doctoral Academic Forum)
- 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
- Yilizhati Anniwaer and Yuqian Zhang (2025). Semi-supervised inference for treatment heterogeneity. arXiv preprint arXiv:2509.05048.
- Kai Chen and Yuqian Zhang (2025). Balancing utility and cost in dynamic treatment regimes. arXiv preprint arXiv:2507.17360.
- Facheng Yu and Yuqian Zhang (2024). Data integration using covariate summaries from external sources. arXiv preprint arXiv:2411.15691.
- 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.
- 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. (This paper received the ICSA 2025 China Conference Junior Researcher Award)
(# alphabetical order, * co-first author, __ supervised student)
Awards and Honors
- Junior Researcher Award, International Chinese Statistical Association, 2025
- 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
- Outstanding Graduate, Wuhan University, 2016
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 8th International Conference on Econometrics and Statistics, August 2025
- Chinese Causal Inference Conference, July 2025
- ICSA 2025 China Conference, June 2025
- School of Mathematics and Statistics, Wuhan University, June 2025
- 2025 Annual Meeting of the CAAS Committee on Multivariate Analysis Application, June 2025
- School of Management, University of Science and Technology of China, June 2025
- School of Statistics, Capital University of Economics and Business, May 2025
- School of Statistics, Renmin University of China, April 2025
- School of Statistics, East China Normal University, April 2025
- School of Mathematical Sciences, Tongji University, April 2025
- School of Management, Fudan University, April 2025
- School of Statistics and Mathematics, Central University of Finance and Economics, March 2025
- Guanghua School of Management, Peking University, February 2025
- School of Mathematics and Statistics, Wuhan University, January 2025
- Causal Inference: Bridging Theory and Practice, January 2025
- The 18th International Joint Conference CFE-CMStatistics, December 2024
- First Macau International Conference on Business Intelligence and Analytics, December 2024
- School of Statistics and Data Science, Nankai University, December 2024
- School of Statistics and Management, Shanghai University of Finance and Economics, November 2024
- 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