Ruijian Han

According to our database, Ruijian Han authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Variance-aware Reward Modeling with Anchor Guidance.

Shuxing Fang, Ruijian Han, Liangyu Zhang, Fan Zhou

CoRR, May, 2026

VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification.

Hongfei Wu, Ruijian Han, Yancheng Yuan

CoRR, April, 2026

DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval.

Maojun Sun, Yue Wu, Yifei Xie, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, March, 2026

Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning.

Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding

CoRR, February, 2026

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems.

Maojun Sun, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, January, 2026

Learning Guarantee of Reward Modeling Using Deep Neural Networks.

Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation.

Yu Zhong, Zihao Zhang, Rui Zhang, Lingdong Huang, Haihan Gao, Shuo Wang, Da Li, Ruijian Han, Jiaming Guo, Shaohui Peng, Di Huang, Yunji Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

An Approximate Control Variates Approach to Multifidelity Distribution Estimation.

Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu

SIAM/ASA J. Uncertain. Quantification, 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

LAMBDA: A Large Model Based Data Agent.

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, 2024

Adaptive debiased SGD in high-dimensional GLMs with streaming data.

Ruijian Han, Lan Luo, Yuanhang Luo, Yuanyuan Lin, Jian Huang

CoRR, 2024

2023

An approximate control variates approach to multifidelity distribution estimation.

Ruijian Han, Akil Narayan, Yiming Xu

CoRR, 2023

2021

Probabilistic methods for approximate archetypal analysis.

Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu

CoRR, 2021

2020

Bivariate gamma model.

Ruijian Han, Kani Chen, Chunxi Tan

J. Multivar. Anal., 2020

A General Pairwise Comparison Model for Extremely Sparse Networks.

Ruijian Han, Yiming Xu, Kani Chen

CoRR, 2020

2019

Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning.

Ruijian Han, Kani Chen, Chunxi Tan

CoRR, 2019