News

210923: Big congratulations to our senior Ph.D. student, Xiangrui Zeng, for receiving the Joint CMU-Pitt Ph.D. Program in Computational Biology Outstanding Research Accomplishment Award!

210722: Our lab just got two papers accepted by top computer vision conference ICCV 2021. Congratulation to first authors Taylor Zeng, Gregory Howe and Xiaoyu Zhu!

210419: Congratulation Michelle Zhu and Richard Kang for receiving CMU Summer Undergraduate Research Fellowships on our research projects!

200921: AMD Provides Computing Resources To Support COVID-19 Research at Xu Lab

200609: Our lab is awarded an NIH NIGMS R01 grant for developing novel methods for improving structural discrimination in cryo-electron tomography.

200530: Our lab is awarded an NSF IIS grant for developing novel methods for improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning.

200320: Our lab is awarded an NSF IIBR grant for developping novel methods to significantly reduce the amount of annotations for supervised deep learning based cryo-electron tomography analysis.

200224: Congratulations to Xiangrui Zeng for his first authored paper gets accepted by CVPR 2020, the best Computer Vision conference!

191218: Congratulations to Kai Wen Wang for Honorable Mention for the Computing Research Association’s (CRA) Outstanding Undergraduate Researcher Award for 2020!

190519: Congratulations Yixiu Zhao for being awarded 2019 Elizabeth W. Jones Award for Excellence in Undergraduate Research in Experimental or Computational Biology.

190415: Congratulations Xiangrui Zeng for being awarded the CMLH fellowship!

181104: Congratulations Bo Zhou for having the following paper accepted by BIBM-MLHRM 2018: Feature Decomposition based Saliency Detection in Electron Cryo-Tomograms

180917: Congratulations Ran Li, Xiangrui Zeng and other students for having the following paper accepted by APBC2019: Automatic Localization and Identification of Mitochondria in Cellular Electron Cryo-Tomography using Faster-RCNN

180822: Our following paper got accepted by Structure. De novo structural pattern mining in cellular electron cryo-tomograms.

180702: Congratulations Chang Liu and other students for having following paper accepted: Liu C, Zeng X, Guo Q, Wang K, Xu M. Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. British Machine Vision Conference (BMVC) 2018. arXiv:1805.06332

180702: Congratulations Kaiwen Wang and other students for having following paper accepted: Wang K, Zeng X, Liang X, Huo Z, Xing E, Xu M. Image-derived generative modeling of pseudo-macromolecular structures - towards statistical assessment of electron cryotomography template matching. British Machine Vision Conference (BMVC) 2018. arXiv:1805.04634

180525: Congratulations to Guannan Zhao, Bo Zhou and other students for having following paper accepted by MICCAI, a prestigious conference in biomedical image analysis! Zhao G, Zhou B, Wang K, Jiang R, Xu M. Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. arXiv:1806.00102

180518: Congratulations to Chengqian Che and other students for having following paper accepted: Che C, Lin R, Zeng X, Elmaaroufi K, Galeotti J, Xu M. Improved deep learning based macromolecules structure classification from electron cryo tomograms. Machine Vision and Applications. arXiv:1707.04885

180516: Our new preliminary working report is online: Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. arXiv:1805.06332

180515: Our new preliminary working report is online: Image-derived generative modeling of pseudo-macromolecular structures - towards statistical assessment of electron cryotomography template matching. arXiv:1805.04634

180504: Congratulations to Chang Liu and Xiangrui Zeng and other students for having following paper accepted: Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. IEEE International Conference on Image Processing (ICIP) 2018. Preprint: arXiv:1802.04087

180402: Congratulations Yixiu Zhao and Xiangrui Zeng on their co-first authored paper being accepted by ISMB 2018! Title: An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification.

180321: Congratulations Jialiang Guo and Bo Zhou for their paper being accepted by ICIAR!

180212: Our new preliminary working report is online: Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms

180131: Our new preliminary working report is online: Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography

171227: Congratulations Xiangrui Zeng for his first authored paper being accepted by Journal of Structural Biology: A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

170717: Our new preliminary working report is online: “Improved deep learning based macromolecules structure classification from electron cryo tomograms

170616: Our new preliminary working report is online: “A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

170511: Kaiwen Wang just got awarded CMU Summer Undergraduate Research Apprenticeship on one of our collaborative research projects. Congratulations Kaiwen!

170406: Our manuscript entitled: “Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms” will appear on ISMB 2017. Here is a preprint version.

170129: Our new manuscript is online: “Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms