AI4BREAD
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09/2026:🧬 One paper has been published in Plant Communications. Congratulations to the AI4Bread Team!!! In this work, we present iPheno, a novel dual-aware vision-language model for multi-task fine-scale crop phenotyping.
Sep 8, 2026
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09/2026:🎉 The UFold-X paper has been accepted for publication in Nucleic Acids Research. Congratulations to the AI4Bread Team!!! UFold-X introduces an enhanced dual and dynamic U-Mamba model for long-range RNA secondary structure prediction.
Sep 3, 2026
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05/2026:🧬 One paper has been published in Briefings in Bioinformatics. Congrats to the AI4Bread Team!!!In this work, we propose a biased multi-view contrastive learning framework for spatial transcriptomics, integrating attentive masking strategies and graph-based spatial representation learning to improve unsupervised spatial domain identification and biological structure preservation.
May 11, 2026
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01/2026:🎉 One paper has been accepted by IEEE TPAMI. Congrads to the AI4Bread Team!!!
Jan 20, 2026
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01/2026:🧬 S3RL paper was officially published by Advanced Science. Congrads to the AI4Bread Team!!!
Jan 20, 2026
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11/2025:🧬 The AI4Bread team has developed a novel Multi-layer Interactive Siamese-Filtering Enhancement and Restoration (MISFR) network to address the challenges of low-light indoor mural imaging. Designed for architectural heritage conservation, MISFR effectively enhances and restores mural images captured under poor lighting conditions, offering significant improvements in visual quality and evaluation metrics.
Nov 7, 2025
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08/2025:🧬 The AI4Bread team has published a new paper titled “Dual Balanced Augmented Topological Non-coding RNA Disease Triplet Association in Heterogeneous Graphs”. The proposed DBATNDA model introduces a novel dual-balanced augmentation strategy to enhance graph structure representation, significantly improving the accuracy and generalization of ncRNA–disease and ncRNA–ncRNA–disease triplet association predictions.
Aug 3, 2025
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05/2025:🌟 The AI4Bread team has released a new preprint on bioRxiv titled “Separable Spatial Single-cell Transcriptome Representation Learning”. The proposed S3RL framework enhances spatial resolution and biological signal recovery in spatial transcriptomics, showing strong performance across tumor, embryo, and plant samples. It also reveals hidden spatial patterns such as ligand-receptor signals and gene expression gradients.
May 19, 2025
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04/2025:🎉🎉One paper is accepted by IEEE Transactions on Knowledge and Data Engineering. In this work, we proposed a Triangle Topology Enhancement (T2E) module and designed MGC-T2E for improving multi-view graph clustering performance.
Apr 18, 2025
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04/2025:🎉🎉One paper is officially published by Nature. In this work, we present a nearly complete pan-genome of autotetraploid European potato, we describe extraordinarily high sequence diversity in a domesticated crop, and we outline how this resource might be used to accelerate genomics-assisted breeding and research.
Apr 16, 2025
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