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2020 – today
- 2026
[c2]Yu Zhong, Zihao Zhang, Rui Zhang, Lingdong Huang, Haihan Gao, Shuo Wang, Da Li, Ruijian Han, Jiaming Guo, Shaohui Peng, Di Huang, Yunji Chen:
Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation. AAAI 2026: 18845-18854- [c1]Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen:
Learning Guarantee of Reward Modeling Using Deep Neural Networks. KDD (1) 2026: 1019-1029 - [i12]Maojun Sun
, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang:
DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems. CoRR abs/2601.13591 (2026) - [i11]Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding:
Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning. CoRR abs/2602.02099 (2026) - [i10]Maojun Sun, Yue Wu, Yifei Xie, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang:
DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval. CoRR abs/2603.04743 (2026) - 2025
- [i9]Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen:
Learning Guarantee of Reward Modeling Using Deep Neural Networks. CoRR abs/2505.06601 (2025) - [i8]Yu Zhong, Zihao Zhang, Rui Zhang, Lingdong Huang, Haihan Gao, Shuo Wang, Da Li, Ruijian Han, Jiaming Guo, Shaohui Peng, Di Huang, Yunji Chen:
Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation. CoRR abs/2511.14131 (2025) - 2024
- [j2]Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu:
An Approximate Control Variates Approach to Multifidelity Distribution Estimation. SIAM/ASA J. Uncertain. Quantification 12(4): 1349-1388 (2024) - [i7]Ruijian Han, Lan Luo, Yuanhang Luo, Yuanyuan Lin, Jian Huang:
Adaptive debiased SGD in high-dimensional GLMs with streaming data. CoRR abs/2405.18284 (2024) - [i6]Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang:
LAMBDA: A Large Model Based Data Agent. CoRR abs/2407.17535 (2024) - [i5]Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang:
A Survey on Large Language Model-based Agents for Statistics and Data Science. CoRR abs/2412.14222 (2024) - 2023
- [i4]Ruijian Han, Akil Narayan, Yiming Xu:
An approximate control variates approach to multifidelity distribution estimation. CoRR abs/2303.06422 (2023) - 2021
- [i3]Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu:
Probabilistic methods for approximate archetypal analysis. CoRR abs/2108.05767 (2021) - 2020
- [j1]Ruijian Han, Kani Chen, Chunxi Tan:
Bivariate gamma model. J. Multivar. Anal. 180: 104666 (2020) - [i2]Ruijian Han, Yiming Xu, Kani Chen:
A General Pairwise Comparison Model for Extremely Sparse Networks. CoRR abs/2002.08853 (2020)
2010 – 2019
- 2019
- [i1]Ruijian Han, Kani Chen, Chunxi Tan:
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning. CoRR abs/1910.12577 (2019)
Coauthor Index
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