Shuaicheng Li
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.
CoRR, 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
On triangle inequalities of correlation-based distances for gene expression profiles.
BMC Bioinform., December, 2023
Briefings Bioinform., May, 2023
SMURF: embedding single-cell RNA-seq data with matrix factorization preserving self-consistency.
Briefings Bioinform., March, 2023
Deep autoregressive generative models capture the intrinsics embedded in T-cell receptor repertoires.
Briefings Bioinform., March, 2023
Briefings Bioinform., March, 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
CoRR, 2023
2022
Correction: DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs.
BMC Bioinform., December, 2022
Urban development wave: Understanding physical spatial processes of urban expansion from density gradient of new urban land.
Comput. Environ. Urban Syst., 2022
Automatically layout and visualize the biological pathway map with spectral graph theory.
CoRR, 2022
DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs.
BMC Bioinform., 2022
Somatic variant analysis suite: copy number variation clonal visualization online platform for large-scale single-cell genomics.
Briefings Bioinform., 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.
Briefings Bioinform., 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Temporally Coarse to Fine Snippets Relationship Learning with Graph Convolution for Temporal Action Proposal Generation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2019
CoRR, 2019