AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. - Donglai Wei 001; Kisuk Lee; Hanyu Li; Ran Lu; J. Alexander Bae; Zequan Liu; Lifu Zhang; Márcia dos Santos; Zudi Lin; Thomas D. Uram; Xueying Wang 002; Ignacio Arganda-Carreras; et al. (MICCAI (1), 2021)

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. - Jiancheng Yang; Rui Shi; Donglai Wei 001; Zequan Liu; Lin Zhao; Bilian Ke; Hanspeter Pfister; Bingbing Ni (CoRR, 2021)

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 (ISBI, 2023)

PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. - Zequan Liu; Yi Zhao; Ming Tan; Wei Zhu; Aaron Xuxiang Tian (EMNLP (Industry Track), 2024)

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. - Zequan Liu; Jiawen Lyn; Wei Zhu; Xing Tian; Yvette Graham (NAACL-HLT, 2024)

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment. - Zequan Liu; Yi Zhao; Ming Tan; Wei Zhu 016; Aaron Xuxiang Tian (CoRR, 2025)