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Nallapareddy, Vamsi and Chaudhari, Ajinkya and Xu, Min}, booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, pages={80--87}, year={2020}, organization={IEEE} } @article{zhou2020one, title={One-shot Learning with Attention-guided Segmentation in Cryo-Electron Tomography}, author={Zhou, Bo and Yu, Haisu and Zeng, Xiangrui and Yang, Xiaoyan and Zhang, Jing and Xu, Min}, journal={Frontiers in Molecular Biosciences}, volume={7}, pages={473}, year={2021}, publisher={Frontiers} } @article{dong2020towards, title={Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels}, author={Dong, Nanqing and Kampffmeyer, Michael and Liang, Xiaodan and Xu, Min and Voiculescu, Irina and Xing, Eric P}, journal={arXiv preprint arXiv:2011.14164}, year={2020} } @article{du2021active, author = {Du, Xuefeng and Wang, Haohan and Zhu, Zhenxi and Zeng, Xiangrui and Chang, Yi-Wei and Zhang, Jing and Xing, Eric and Xu, Min}, title = "{Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography}", journal = {Bioinformatics}, year = {2021}, month = {02}, issn = {1367-4803}, doi = {10.1093/bioinformatics/btab123}, url = {https://doi.org/10.1093/bioinformatics/btab123}, note = {btab123}, eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btab123/36340627/btab123.pdf}, } @ARTICLE{gao2021macromolecules, author={Gao, Shan and Han, Renmin and Zeng, Xiangrui and Liu, Zhiyong and Xu, Min and Zhang, Fa}, journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics}, title={Macromolecules Structural Classification with a 3D Dilated Dense Network in Cryo-electron Tomography}, year={2021}, volume={}, number={}, pages={1-1}, doi={10.1109/TCBB.2021.3065986}} @article{yi2021disentangling, title={Disentangling semantic features of macromolecules in Cryo-Electron Tomography}, author={Yi, Kai and Pang, Jianye and Zhang, Yungeng and Zeng, Xiangrui and Xu, Min}, journal={arXiv preprint arXiv:2106.14192}, year={2021} } @inproceedings{zeng2021unsupervised, title={Unsupervised Domain Alignment based Open Set Structural Recognition of Macromolecules Captured by Cryo-Electron Tomography}, author={Zeng, Yuchen and Howe, Gregory and Zeng, Xiangrui and Zhang, Jing and Chang, Yi-Wei and Xu, Min}, booktitle={2021 IEEE International Conference on Image Processing (ICIP)}, year={2021}, organization={IEEE} } @inproceedings{zeng2021end, title={End-to-end Robust Joint Unsupervised Image Alignment and Clustering}, author={Zeng, Xiangrui and Howe, Gregory and Xu, Min}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, pages={}, year={2021} } @inproceedings{zhu2021weakly, title={Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations}, author={Zhu, Xiaoyu and Chen, Jeffery and Zeng, Xiangrui and Liang, Junwei and Li, Chengqi and Liu, Sinuo and Behpour, Sima and Xu, Min}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, pages={}, year={2021} } @inproceedings{cang2021scan, title={Scan-IT: Domain segmentation of spatial transcriptomics images by graph neural network}, author={Cang, Zixuan and Ning, Xinyi and Nie, Annika and Xu, Min and Zhang, Jing}, booktitle={British Machine Vision Conference (BMVC)}, year={2021} } @article{bandyopadhyay2021cryo, title={Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domaina daptation and randomization}, author={Bandyopadhyay, Hmrishav and Deng, Zihao and Ding, Leiting and Liu, Sinuo and Uddin, Mostofa and Zeng, Xiangrui and Behpour, Sima and Xu, Min}, journal={Bioinformatics}, year={2021}, publisher={Oxford University Press}, doi = {10.1093/bioinformatics/btab794} } @article{dong2021towards, title={Towards robust partially supervised multi-structure medical image segmentation on small-scale data}, author={Dong, Nanqing and Kampffmeyer, Michael and Liang, Xiaodan and Xu, Min and Voiculescu, Irina and Xing, Eric}, journal={Applied Soft Computing}, pages={108074}, year={2021}, publisher={Elsevier} } @article{zhang2021deep, title={Deep learning predicts EBV status in gastric cancer based on spatial patterns of lymphocyte infiltration}, author={Zhang, Baoyi and Yao, Kevin and Xu, Min and Wu, Jia and Cheng, Chao}, journal={Cancers}, year={2021}, publisher={Multidisciplinary Digital Publishing Institute} } @inproceedings{wang2022boosting, title={Boosting Active Learning via Improving Test Performance}, author={Wang, Tianyang and Li, Xingjian and Yang, Pengkun and Hu, Guosheng and Zeng, Xiangrui and Huang, Siyu and Xu, Cheng-Zhong and Xu, Min}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)}, year={2022} } @inproceedings{uddin2021practical, title={Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning}, author={Uddin, Mostofa Rafid and Ahmed, Ajmain Yasar and Khan, Kafi and Fatemi, Md Shahrar and Zeng, Xiangrui and Xu, Min}, booktitle={2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)}, pages={1--9}, year={2021}, organization={IEEE} } @article{wu2022cryoetgan, title={CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation}, author={Wu, Xindi and Li, Chengkun and Zeng, Xiangrui and Wei, Haocheng and Deng, Hong-Wen and Zhang, Jing and Xu, Min}, journal={Frontiers in Physiology}, pages={128}, year={2022}, publisher={Frontiers} } @article{chharia2022deep, title={Deep-precognitive diagnosis: preventing future pandemics by novel disease detection With biologically-inspired conv-fuzzy network}, author={Chharia, Aviral and Upadhyay, Rahul and Kumar, Vinay and Cheng, Chao and Zhang, Jing and Wang, Tianyang and Xu, Min}, journal={IEEE Access}, volume={10}, pages={23167--23185}, year={2022}, publisher={IEEE} } @article{chandra2022prolificacy, title={Prolificacy Assessment of Spermatozoan via state-of-the-art Deep Learning Frameworks}, author={Chandra, Satish and Gourisaria, Mahendra Kumar and Gm, Harshvardhan and Konar, Debanjan and Gao, Xin and Wang, Tianyang and Xu, Min}, journal={IEEE Access}, volume={10}, pages={13715--13727}, year={2022}, publisher={IEEE} } @article{srinivasan2022insulock, title={InsuLock: A Weakly Supervised Learning Approach for Accurate Insulator Prediction, and Variant Impact Quantification}, author={Srinivasan, Shushrruth Sai and Gong, Yanwen and Xu, Siwei and Hwang, Ahyeon and Xu, Min and Girgenti, Matthew J and Zhang, Jing}, journal={Genes}, volume={13}, number={4}, pages={621}, year={2022}, publisher={MDPI} } @inproceedings{uddin2021practical, title={Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning}, author={Uddin, Mostofa Rafid and Ahmed, Ajmain Yasar and Khan, Kafi and Fatemi, Md Shahrar and Zeng, Xiangrui and Xu, Min}, booktitle={2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)}, pages={1--9}, year={2021}, organization={IEEE} } @inproceedings{uddin2022harmony, title={Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations}, author={Uddin, Mostofa Rafid and Howe, Gregory and Zeng, Xiangrui and Xu, Min}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={20646--20655}, year={2022} } @article{gao2022fscc, title={FSCC: Few-shot Learning for Macromolecule Classification based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography}, author={Gao, Shan and Zeng, Xiangrui and Xu, Min and Zhang, Fa}, journal={Frontiers in Molecular Biosciences}, pages={620}, year={2022}, publisher={Frontiers} } @inproceedings{wang2022deep, title={Deep active learning for cryo-electron tomography classification}, author={Wang, Tianyang and Li, Bo and Zhang, Jing and Zeng, Xiangrui and Uddin, Mostofa Rafid and Wu, Wei and Xu, Min}, booktitle={2022 IEEE International Conference on Image Processing (ICIP)}, year={2022}, organization={IEEE} } @inproceedings{zhu2022unsupervised, title={Unsupervised Multi-task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation}, author={Zhu, Haoyi and Wang, Chuting and Wang, Yuanxin and Fan, Zhaoxin and Uddin, Mostofa Rafid and Gao, Xin and Zhang, Jing and Zeng, Xiangrui and Xu, Min}, booktitle={2022 IEEE International Conference on Image Processing (ICIP)}, year={2022}, organization={IEEE} } @article{zeng2022structure, author = {Zeng, Xiangrui and Lin, Ziqian and Uddin, Mostofa Rafid and Zhou, Bo and Cheng, Chao and Zhang, Jing and Freyberg, Zachary and Xu, Min}, title = {Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series}, journal = {Journal of Computational Biology}, volume = {0}, number = {0}, pages = {null}, year = {0}, doi = {10.1089/cmb.2021.0606}, note ={PMID: 35862434}, URL = { https://doi.org/10.1089/cmb.2021.0606}, eprint = { https://doi.org/10.1089/cmb.2021.0606} } @article{gupta2022self, title={Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms}, author={Gupta, Tarun and He, Xuehai and Uddin, Mostofa Rafid and Zeng, Xiangrui and Zhou, Andrew and Zhang, Jing and Freyberg, Zachary and Xu, Min} journal={Frontiers in Physiology}, year={2022}, publisher={Frontiers} } @article{zeng2023high, title={High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering}, author={Zeng, Xiangrui and Kahng, Anson and Xue, Liang and Mahamid, Julia and Chang, Yi-Wei and Xu, Min}, journal={Proceedings of the National Academy of Sciences of the United States of America}, volume={120}, number={15}, pages={e2213149120}, year={2023} } @inproceedings{li2024deep, title={Deep active learning with noise stability}, author={Li, Xingjian and Yang, Pengkun and Gu, Yangcheng and Zhan, Xueying and Wang, Tianyang and Xu, Min and Xu, Chengzhong}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={38}, number={12}, pages={13655--13663}, year={2024} } @article{jain2024knowledge, title={Knowledge transfer from macro-world to micro-world: enhancing 3D Cryo-ET classification through fine-tuning video-based deep models}, author={Jain, Sabhay and Li, Xingjian and Xu, Min}, journal={Bioinformatics}, volume={40}, number={7}, pages={btae368}, year={2024}, publisher={Oxford University Press} } ---------------------------------------------- % websites @misc{xulab2016, author = {Xu, Min}, title = {Open source softwares published at Xu lab}, year = 2016, howpublished = "\url{http://www.cs.cmu.edu/~mxu1}", urldate = {2016-07-01} } @misc{xulab2016software, author = {Xu, Min}, title = {Open source softwares published at Xu lab}, year = 2016, howpublished = "\url{http://www.cs.cmu.edu/~mxu1/softwares/softwares.html}", urldate = {2016-07-01} } @misc{xulab2016project, author = {Xu, Min}, title = {Open source projects published at Xu lab}, year = 2016, howpublished = "\url{https://github.com/xulabs/projects}", urldate = {2016-07-01} } @misc{xulab2019aitom, author = {Xu, Min}, title = {AITom library}, year = 2019, howpublished = "\url{https://github.com/xulabs/aitom}", urldate = {2019-06-21} }