Mingyang Zhang

According to our database, Mingyang Zhang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

DynamicAug: Enhancing Transfer Learning Through Dynamic Data Augmentation Strategies Based on Model State.

Xinyi Yu, Haodong Zhao, Mingyang Zhang, Yan Wei, Libo Zhou, Linlin Ou

Neural Process. Lett., June, 2024

Channel Merging: Preserving Specialization for Merged Experts.

Mingyang Zhang, Jing Liu, Ganggui Ding, Xinyi Yu, Linlin Ou, Bohan Zhuang

CoRR, 2024

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models.

Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang

CoRR, 2024

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy.

Xinyi Yu, Xiaowei Wang, Jintao Rong, Mingyang Zhang, Linlin Ou

Neural Process. Lett., December, 2023

Effective Model Compression via Stage-wise Pruning.

Mingyang Zhang, Xin-Yi Yu, Linlin Ou

Mach. Intell. Res., December, 2023

Across-task neural architecture search via meta learning.

Jingtao Rong, Xinyi Yu, Mingyang Zhang, Linlin Ou

Int. J. Mach. Learn. Cybern., March, 2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang

CoRR, 2023

Repnas: Searching for Efficient Re-Parameterizing Blocks.

Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

ShiftNAS: Improving One-shot NAS via Probability Shift.

Mingyang Zhang, Xinyi Yu, Haodong Zhao, Linlin Ou

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

2022

De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy.

Xinyi Yu, Xiaowei Wang, Mingyang Zhang, Jintao Rong, Linlin Ou

CoRR, 2022

Graph pruning for model compression.

Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou

Appl. Intell., 2022

2021

RepNAS: Searching for Efficient Re-parameterizing Blocks.

Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Feng Gao

CoRR, 2021

2020

Stage-wise Channel Pruning for Model Compression.

Mingyang Zhang, Linlin Ou

CoRR, 2020

Soft Taylor Pruning for Accelerating Deep Convolutional Neural Networks.

Jintao Rong, Xiyi Yu, Mingyang Zhang, Linlin Ou

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019

Graph Pruning for Model Compression.

Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Weidong Zhang

CoRR, 2019