Zhu, Jin

Item Type Year Departments File available

Article

Ma, Tao, Zhu, Jin, Cai, Hengrui, Qi, Zhengling, Chen, Yunxiao, Shi, Chengchun, Laber, Eric B. (2026). Sequential knockoffs for variable selection in reinforcement learning. Journal of the American Statistical Association, [In Press] picture_as_pdf

Chen, Xuanyu, Zhu, Jin, Zhu, Junxian, Wang, Xueqin, Zhang, Heping (2026). Reconstruct Ising Model with global optimality via SLIDE. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2571245

Chen, Peng, Zhu, Jin, Zhu, Junxian, Wang, Xueqin (2025). Simplex constrained sparse optimization via tail screening. Journal of Machine Learning Research, 26, picture_as_pdf

Tang, Bo Rui, Zhu, Jin, Wang, Ting Yin, Zhu, Junxian (2025). A splicing algorithm for best subset selection in sliced inverse regression. Journal of University of Science and Technology of China, 55(5). https://doi.org/10.52396/JUSTC-2024-0034 picture_as_pdf

Wang, Xueqin, Zhu, Jin, Pan, Wenliang, Zhu, Junhao, Zhang, Heping (2024). Nonparametric statistical inference via metric distribution function in metric spaces. Journal of the American Statistical Association, 119(548), 2772 - 2784. https://doi.org/10.1080/01621459.2023.2277417 picture_as_pdf

Wang, Zezhi, Zhu, Junxian, Wang, Xueqin, Zhu, Jin, Peng, Huiyang, Chen, Peng, Wang, Anran, Zhang, Xiaoke (2024). skscope: fast sparsity-constrained optimization in Python. Journal of Machine Learning Research, 25, picture_as_pdf

Zhu, Jin, Wan, Runzhe, Qi, Zhengling, Luo, Shikai, Shi, Chengchun (2024). Robust offline reinforcement learning with heavy-tailed rewards. Proceedings of Machine Learning Research, 238, 541 - 549. picture_as_pdf

Chapter

Zhu, Jin, Li, Jingyi, Zhou, Hongyi, Lin, Yinan, Lin, Zhenhua, Shi, Chengchun (2025). Balancing interference and correlation in spatial experimental designs: a causal graph cut approach. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. [In Press] picture_as_pdf

Zhou, Hongyi, Hanna, Josiah P., Zhu, Jin, Yang, Ying, Shi, Chengchun (2025). Demystifying the paradox of importance sampling with an estimated history-dependent behavior policy in off-policy evaluation. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. [In Press] picture_as_pdf

Conference or Workshop Item

Zhou, Hongyi, Zhu, Jin, Su, Pingfan, Ye, Kai, Yang, Ying, Gavioli Akilagun, Shakeel, Shi, Chengchun (2025-11-30 - 2025-12-07) AdaDetectGPT: adaptive detection of LLM-generated text with statistical guarantees [Paper]. 39th Conference on Neural Information Processing Systems. [In Press] picture_as_pdf