News

240823: Big congratulations to our senior Ph.D. student, Mostofa Rafid Uddin, for receiving the Joint CMU-Pitt Ph.D. Program in Computational Biology Outstanding Research Accomplishment Award!

230526 Congratulations Dr. Min Xu for receiving NSF CAREER award on Cryo-electron tomography derived multiscale integrative modeling of subcellular organization!

230525 Congratulations Michael Maxwell for receiving CMU Summer Undergraduate Research Apprenticeship (SURA)!

230424: Congratulations Mostofa Rafid Uddin for being awarded the CMLH fellowship!

230407 Congratulations Xiangrui Zeng for his first authored structural pattern mining paper getting published at Proceedings of the National Academy of Sciences!

230127 Congratulations Miles Wandless for receiving Highway to Undergraduate Research in the Academic Year (HURAY) award!

220825 Our lab is awarded an NSF IIS grant jointly with Professor Daisuke Kihara lab, for developping methods for systematic de novo identification of macromolecular complexes in cryo-electron tomography images.

220701: Our lab is awarded an NSF MCB grant as co-PI for developing novel methods for morphodynamics characterization of stem cell differentiation using label-free microscopies. This is a joint project with Prof. Jianhua Xing (PI) and Prof. Sarah Hainer (co-PI) labs.

220510: Congratulation Xiangrui Zeng for passing his PhD defense!

220302: Congratulation Mostofa Rafid Uddin, Gregory Howe, and Xiangrui Zeng for our following paper accepted by CVPR 2022: Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations

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 to 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”