Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning. - Ruijian Han; Kani Chen; Chunxi Tan (CoRR, 2019)

A General Pairwise Comparison Model for Extremely Sparse Networks. - Ruijian Han; Yiming Xu; Kani Chen (CoRR, 2020)

Bivariate gamma model. - Ruijian Han; Kani Chen; Chunxi Tan (J. Multivar. Anal., 2020)

Probabilistic methods for approximate archetypal analysis. - Ruijian Han; Braxton Osting; Dong Wang 008; Yiming Xu (CoRR, 2021)

An approximate control variates approach to multifidelity distribution estimation. - Ruijian Han; Akil Narayan 001; Yiming Xu (CoRR, 2023)

Adaptive debiased SGD in high-dimensional GLMs with streaming data. - Ruijian Han; Lan Luo; Yuanhang Luo; Yuanyuan Lin; Jian Huang 003 (CoRR, 2024)

LAMBDA: A Large Model Based Data Agent. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

A Survey on Large Language Model-based Agents for Statistics and Data Science. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

An Approximate Control Variates Approach to Multifidelity Distribution Estimation. - Ruijian Han; Boris Kramer; Dongjin Lee; Akil Narayan 001; Yiming Xu (SIAM/ASA J. Uncertain. Quantification, 2024)

Learning Guarantee of Reward Modeling Using Deep Neural Networks. - Yuanhang Luo; Yeheng Ge; Ruijian Han; Guohao Shen (CoRR, 2025)