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2020 – today
- 2024
[c3]Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham:
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. NAACL-HLT 2024: 622-641- [i3]Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham:
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. CoRR abs/2403.16187 (2024) - 2023
- [c2]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: 1-5 - 2021
- [c1]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: 175-185 - [i2]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 abs/2107.05451 (2021) - [i1]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 abs/2110.14795 (2021)
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