Yiming Dong

According to our database, Yiming Dong authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers.

Liangyu Wang, Siqi Zhang, Junjie Wang, Yiming Dong, Bo Zheng, Zihan Qiu, Shengkun Tang, Di Wang, Rui Men, Dayiheng Liu

CoRR, February, 2026

Probing RLVR training instability through the lens of objective-level hacking.

Yiming Dong, Kun Fu, Haoyu Li, Xinyuan Zhu, Yurou Liu, Lijing Shao, Jieping Ye, Zheng Wang

CoRR, February, 2026

Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-sided and Two-Sided Preconditioning.

Huan Li, Yiming Dong, Zhouchen Lin

CoRR, January, 2026

From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning.

Haoyu Li, Xuhong Li, Yiming Dong, Kun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

KISSColor: Kinetic and Intuitive Stroke Stretching for Vector Drawing Colorization.

Yiming Dong, Hongxu Xin, Zhiyang Dou, Rui Xu, Yuan Liu, Shuangmin Chen, Shiqing Xin, Changhe Tu, Taku Komura, Wenping Wang

ACM Trans. Graph., December, 2025

Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads.

Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin

CoRR, October, 2025

Conda: Column-Normalized Adam for Training Large Language Models Faster.

Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin

CoRR, September, 2025

SADA: Safe and Adaptive Inference with Multiple Black-Box Predictions.

Jiawei Shan, Yiming Dong, Jiwei Zhao

CoRR, September, 2025

P/D-Device: Disaggregated Large Language Model between Cloud and Devices.

Yibo Jin, Yixu Xu, Yue Chen, Chengbin Wang, Tao Wang, Jiaqi Huang, Rongfei Zhang, Yiming Dong, Yuting Yan, Ke Cheng, Yingjie Zhu, Shulan Wang, Qianqian Tang, Shuaishuai Meng, Guanxin Cheng, Ze Wang, Shuyan Miao, Ketao Wang, Wen Liu, Yifan Yang, Tong Zhang, Anran Wang, Chengzhou Lu, Tiantian Dong, Yongsheng Zhang, Zhe Wang, Hefei Guo, Hongjie Liu, Wei Lu, Zhengyong Zhang

CoRR, August, 2025

Stepsize anything: A unified learning rate schedule for budgeted-iteration training.

Anda Tang, Yiming Dong, Yutao Zeng, Xun Zhou, Zhouchen Lin

CoRR, May, 2025

On the O(\frac{√d}}{K^1/4}) Convergence Rate of AdamW Measured by ℓ₁ Norm.

Huan Li, Yiming Dong, Zhouchen Lin

CoRR, May, 2025

Spatiotemporal Local Analysis for Nonlinear Dynamic Process Monitoring.

Youqing Wang, Yiming Dong, Haoqian Wang, Mancheng Xiao, Shenggang Zhu, Xin Ma, Li Liang

IEEE Trans. Instrum. Meas., 2025

On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm.

Huan Li, Yiming Dong, Zhouchen Lin

J. Mach. Learn. Res., 2025

Robust quaternion elastic-net for hypercomplex signal recovery.

Cuiming Zou, Shiyuan Wang, Xuan Xiao, Yiming Dong

Digit. Signal Process., 2025

Robust quaternion block orthogonal matching pursuit with its applications.

Yiming Dong, Cuiming Zou, Xuan Xiao, Kit Ian Kou

Digit. Signal Process., 2025

2024

Convergence Rate Analysis of LION.

Yiming Dong, Huan Li, Zhouchen Lin

CoRR, 2024

Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization.

Yiming Dong, Zhouchen Lin

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023

A process monitoring criterion based on weighted contribution of principal components.

Yiming Dong, Li Liang, Tongze Hou, Xin Ma, Youqing Wang

Proceedings of the CAA Symposium on Fault Detection, 2023

2021

Gauge Equivariant Transformer.

Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Equivariant Network.

Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021