Haoyang Li

According to our database, Haoyang Li authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.

Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao

Comput. Biol. Medicine, February, 2024

ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.

Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang

CoRR, 2024

KaryoXpert: An accurate chromosome segmentation and classification framework for karyotyping analysis without training with manually labeled metaphase-image mask annotations.

Siyuan Chen, Kaichuang Zhang, Jingdong Hu, Na Li, Ao Xu, Haoyang Li, Juexiao Zhou, Chao Huang, Yongguo Yu, Xin Gao

Comput. Biol. Medicine, 2024

HELM-GPT: <i>de novo</i> macrocyclic peptide design using generative pre-trained transformer.

Xiaopeng Xu, Chencheng Xu, Wenjia He, Lesong Wei, Haoyang Li, Juexiao Zhou, Ruochi Zhang, Yu Wang, Yuanpeng Xiong, Xin Gao

Bioinform., 2024

2023

Automated Bioinformatics Analysis via AutoBA.

Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao

CoRR, 2023

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare.

Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao

CoRR, 2023

2022

Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS.

Juexiao Zhou, Bin Zhang, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Meng-Ran Wang, Huanhuan Cui, Jingjing Li, Wei Chen, Xin Gao

Genom. Proteom. Bioinform., October, 2022

SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.

Haoyang Li, Hanmin Li, Juexiao Zhou, Xin Gao

Bioinform., October, 2022

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.

Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao

Nat. Mach. Intell., 2022

2020

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.

Longxi Zhou, Zhongxiao Li, Juexiao Zhou, Haoyang Li, Yupeng Chen, Yuxin Huang, Dexuan Xie, Lintao Zhao, Ming Fan, Shahrukh Hashmi, Faisal Abdelkareem, Riham Eiada, Xigang Xiao, Lihua Li, Zhaowen Qiu, Xin Gao

IEEE Trans. Medical Imaging, 2020

Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs.

Haoyang Li, Juexiao Zhou, Yi Zhou, Jie Chen, Feng Gao, Ying Xu, Xin Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020