Mingyang Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Matrix Decomposition

Evolutionary Strategy

Neural Architecture

Top Venues

Neural Process. Lett.

Publications

Xinyi Yu, Haodong Zhao, Mingyang Zhang, Yan Wei, Libo Zhou, Linlin Ou
DynamicAug: Enhancing Transfer Learning Through Dynamic Data Augmentation Strategies Based on Model State. Neural Process. Lett. 56 (3) (2024)
Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. ACL (Findings) (2024)
Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR (2024)
Xinyi Yu, Xiaowei Wang, Jintao Rong, Mingyang Zhang, Linlin Ou
Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy. Neural Process. Lett. 55 (7) (2023)
Jingtao Rong, Xinyi Yu, Mingyang Zhang, Linlin Ou
Across-task neural architecture search via meta learning. Int. J. Mach. Learn. Cybern. 14 (3) (2023)
Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou
Repnas: Searching for Efficient Re-Parameterizing Blocks. ICME (2023)
Mingyang Zhang, Xinyi Yu, Haodong Zhao, Linlin Ou
ShiftNAS: Improving One-shot NAS via Probability Shift. CoRR (2023)
Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. CoRR (2023)
Mingyang Zhang, Xin-Yi Yu, Linlin Ou
Effective Model Compression via Stage-wise Pruning. Mach. Intell. Res. 20 (6) (2023)
Xinyi Yu, Xiaowei Wang, Mingyang Zhang, Jintao Rong, Linlin Ou
De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy. CoRR (2022)
Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou
Graph pruning for model compression. Appl. Intell. 52 (10) (2022)
Jingtao Rong, Xinyi Yu, Mingyang Zhang, Linlin Ou
Across-Task Neural Architecture Search via Meta Learning. CoRR (2021)
Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Feng Gao
RepNAS: Searching for Efficient Re-parameterizing Blocks. CoRR (2021)
Mingyang Zhang, Linlin Ou
Stage-wise Channel Pruning for Model Compression. CoRR (2020)
Jintao Rong, Xiyi Yu, Mingyang Zhang, Linlin Ou
Soft Taylor Pruning for Accelerating Deep Convolutional Neural Networks. IECON (2020)
Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Weidong Zhang
Graph Pruning for Model Compression. CoRR (2019)