Zequan Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Rank Minimization

Corpus Callosum

Brain White Matter

Top Venues

Publications

Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. NAACL-HLT (2024)
Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. CoRR (2024)
Zequan Liu, Suhong Wang, Zidong Chen, Zhifeng Xiao
UCITransNet: A Deep Neural Model with FC-CRFs and Object-Level Data Augmentation for Cell Instance Segmentation. ISBI (2023)
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. CoRR (2021)
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
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR (2021)
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
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) (2021)