Neural Control Variates for Variance Reduction. - Zhanxing Zhu; Ruosi Wan; Mingjun Zhong (CoRR, 2018)

Towards Making Deep Transfer Learning Never Hurt. - Ruosi Wan; Haoyi Xiong; Xingjian Li 002; Zhanxing Zhu; Jun Huan (ICDM, 2019)

Neural Control Variates for Monte Carlo Variance Reduction. - Ruosi Wan; Mingjun Zhong; Haoyi Xiong; Zhanxing Zhu (ECML/PKDD (2), 2019)

Angle-Based Search Space Shrinking for Neural Architecture Search. - Yiming Hu; Yuding Liang; Zichao Guo; Ruosi Wan; Xiangyu Zhang 005; Yichen Wei; Qingyi Gu; Jian Sun 001 (ECCV (19), 2020)

Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization. - Junjie Yan; Ruosi Wan; Xiangyu Zhang 005; Wei Zhang 016; Yichen Wei; Jian Sun 001 (ICLR, 2020)

Spherical Motion Dynamics of Deep Neural Networks with Batch Normalization and Weight Decay. - Ruosi Wan; Zhanxing Zhu; Xiangyu Zhang 005; Jian Sun 001 (CoRR, 2020)

Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay. - Ruosi Wan; Zhanxing Zhu; Xiangyu Zhang 005; Jian Sun 001 (NeurIPS, 2021)

GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. - Haoyi Xiong; Ruosi Wan; Jian Zhao 006; Zeyu Chen; Xingjian Li 002; Zhanxing Zhu; Jun Huan (ACM Trans. Knowl. Discov. Data, 2022)

StepFun-Prover Preview: Let's Think and Verify Step by Step. - Shijie Shang; Ruosi Wan; Yue Peng; Yutong Wu; Xiong-hui Chen; Jie Yang 002; Xiangyu Zhang 005 (CoRR, 2025)

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion. - Yutong Wu; Di Huang; Ruosi Wan; Yue Peng; Shijie Shang; Chenrui Cao; Lei Qi; Rui Zhang 040; Zidong Du; Jie Yang 002; Xing Hu 001 (CoRR, 2025)