Graph Pruning for Model Compression. - Mingyang Zhang 007; Xinyi Yu; Jingtao Rong; Linlin Ou; Weidong Zhang (CoRR, 2019)

Soft Taylor Pruning for Accelerating Deep Convolutional Neural Networks. - Jintao Rong; Xiyi Yu; Mingyang Zhang 007; Linlin Ou (IECON, 2020)

Stage-wise Channel Pruning for Model Compression. - Mingyang Zhang 007; Linlin Ou (CoRR, 2020)

RepNAS: Searching for Efficient Re-parameterizing Blocks. - Mingyang Zhang 007; Xinyi Yu; Jingtao Rong; Linlin Ou; Feng Gao (CoRR, 2021)

Graph pruning for model compression. - Mingyang Zhang 007; Xinyi Yu; Jingtao Rong; Linlin Ou (Appl. Intell., 2022)

De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy. - Xinyi Yu; Xiaowei Wang; Mingyang Zhang 007; Jintao Rong; Linlin Ou (CoRR, 2022)

ShiftNAS: Improving One-shot NAS via Probability Shift. - Mingyang Zhang 007; Xinyi Yu; Haodong Zhao; Linlin Ou (ICCV, 2023)

Repnas: Searching for Efficient Re-Parameterizing Blocks. - Mingyang Zhang 007; Xinyi Yu; Jingtao Rong; Linlin Ou (ICME, 2023)

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. - Mingyang Zhang 007; Hao Chen 041; Chunhua Shen; Zhen Yang 009; Linlin Ou; Xinyi Yu; Bohan Zhuang (CoRR, 2023)

Across-task neural architecture search via meta learning. - Jingtao Rong; Xinyi Yu; Mingyang Zhang 007; Linlin Ou (Int. J. Mach. Learn. Cybern., 2023)

Effective Model Compression via Stage-wise Pruning. - Mingyang Zhang 007; Xin-Yi Yu; Linlin Ou (Mach. Intell. Res., 2023)

Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy. - Xinyi Yu; Xiaowei Wang; Jintao Rong; Mingyang Zhang 007; Linlin Ou (Neural Process. Lett., 2023)

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. - Mingyang Zhang 007; Hao Chen 041; Chunhua Shen; Zhen Yang 009; Linlin Ou; Xinyi Yu; Bohan Zhuang (ACL (Findings), 2024)

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. - Jing Liu; Ruihao Gong; Mingyang Zhang 007; Yefei He; Jianfei Cai 001; Bohan Zhuang (CoRR, 2024)

DynamicAug: Enhancing Transfer Learning Through Dynamic Data Augmentation Strategies Based on Model State. - Xinyi Yu; Haodong Zhao; Mingyang Zhang 007; Yan Wei; Libo Zhou; Linlin Ou (Neural Process. Lett., 2024)

Channel Merging: Preserving Specialization for Merged Experts. - Mingyang Zhang 007; Jing Liu; Ganggui Ding; Linlin Ou; Xinyi Yu; Bohan Zhuang (AAAI, 2025)