Zequan Liu

According to our database, Zequan Liu authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models.

Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment.

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

UCITransNet: A Deep Neural Model with FC-CRFs and Object-Level Data Augmentation for Cell Instance Segmentation.

Zequan Liu, Suhong Wang, Zidong Chen, Zhifeng Xiao

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification.

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni

CoRR, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.

Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021