Yinmin Zhang

According to our database, Yinmin Zhang authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering.

Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang

CoRR, February, 2026

R-Align: Enhancing Generative Reward Models through Rationale-Centric Meta-Judging.

Yanlin Lai, Mitt Huang, Hangyu Guo, Xiangfeng Wang, Haodong Li, Shaoxiong Zhan, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Chun Yuan, Zheng Ge, Xiangyu Zhang, Daxin Jiang

CoRR, February, 2026

STEP3-VL-10B Technical Report.

Ailin Huang, Chengyuan Yao, Chunrui Han, Fanqi Wan, Multimodal Intelligence Team, StepFun, Jianjian Sun, Jingcheng Hu, Kangheng Lin, Liang Zhao, Mitt Huang, Song Yuan, Wenwen Qu, Xiangfeng Wang, Yanlin Lai, Yingxiu Zhao, Yinmin Zhang, Yukang Shi, Yuyang Chen, Zejia Weng, Ziyang Meng, Ang Li, Aobo Kong, Bo Dong

CoRR, January, 2026

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.

Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

CoRR, January, 2026

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering.

Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.

Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Xiangyu Zhang, Heung-Yeung Shum

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Thinking by Doing: Building Efficient World Model Reasoning in LLMs via Multi-turn Interaction.

Bao Shu, Yan Cai, Jianjian Sun, Chunrui Han, En Yu, Liang Zhao, Jingcheng Hu, Yinmin Zhang, Haoran Lv, Yuang Peng, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Xiangyu Yue

CoRR, November, 2025

Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning.

Yana Wei, Liang Zhao, Jianjian Sun, Kangheng Lin, Jisheng Yin, Jingcheng Hu, Yinmin Zhang, En Yu, Haoran Lv, Zejia Weng, Jia Wang, Chunrui Han, Yuang Peng, Qi Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Vishal M. Patel

CoRR, July, 2025

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Jingcheng Hu, Yinmin Zhang, Qi Han, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-matrix Factorization Attention.

Jingcheng Hu, Houyi Li, Yinmin Zhang, Zili Wang, Shuigeng Zhou, Xiangyu Zhang, Heung-Yeung Shum

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning.

Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

Trans. Mach. Learn. Res., 2024

Adaptive pessimism via target Q-value for offline reinforcement learning.

Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang

Neural Networks, 2024

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.

Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations.

Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong, Jun Chen, Yu Yang, Boshi Tang, Zhiyong Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Masked Pretraining for Multi-Agent Decision Making.

Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

CoRR, 2023

Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection.

Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection.

Xinzhu Ma, Yuan Meng, Yinmin Zhang, Lei Bai, Jun Hou, Shuai Yi, Wanli Ouyang

CoRR, 2022

2021

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection.

Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu

CoRR, 2021

Delving Into Localization Errors for Monocular 3D Object Detection.

Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021