Jiamin Ren

According to our database, Jiamin Ren authored at least 14 papers between 2012 and 2026.

Collaborative distances:

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

2026

TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces.

Shu-Xun Yang, Cunxiang Wang, Haoke Zhang, Wenbo Yu, Lindong Wu, Jiayi Gui, Dayong Yang, Yukuo Cen, Zhuoer Feng, Bosi Wen, Yidong Wang, Lucen Zhong, Jiamin Ren, Linfeng Zhang, Jie Tang

CoRR, March, 2026

Does Digital Intelligence Technology Promote Integrated Innovation in the New Energy Industry? Evidence from China.

Zhibo Zhao, Zhe Huang, Yufei Qiao, Jiamin Ren

Syst., 2026

2025

The Spatiotemporal Heterogeneities of Deindustrialization in Mainland China.

Yu Luan, Zhibao Wang, Jiamin Ren

Syst., 2025

2024

Q-MoE: Connector for MLLMs with Text-Driven Routing.

Hanzi Wang, Jiamin Ren, Yifeng Ding, Lei Ren, Huixing Jiang, Wei Chen, Fangxiang Feng, Xiaojie Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2021

Switchable Normalization for Learning-to-Normalize Deep Representation.

Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

SSN: Learning Sparse Switchable Normalization via SparsestMax.

Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo

Int. J. Comput. Vis., 2020

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.

Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Differentiable Dynamic Normalization for Learning Deep Representation.

Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu

Proceedings of the 36th International Conference on Machine Learning, 2019

Differentiable Learning-to-Normalize via Switchable Normalization.

Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?

Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang

CoRR, 2018

Differentiable Learning-to-Normalize via Switchable Normalization.

Ping Luo, Jiamin Ren, Zhanglin Peng

CoRR, 2018

CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images.

Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, Ping Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Scheduling Large-scale Distributed Training via Reinforcement Learning.

Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2012

A modified wave propagation model based on Gaussian beams tracing.

Qiuming Zhu, Jiamin Ren, Dazhuan Xu, Xiaomin Chen, Xiangbin Yu, Yaping Tang

Proceedings of the IEEE International Conference on Communication Systems, 2012