Refereed Publications

1. Pengyue Hou, Xingyu Li, Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE, Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Dec 2023. Source Code
2. Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li, Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis, MICCAI Workshop - Simulation And Synthesis In Medical Imaging, Oct 2023. Source Code
3. Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu, HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets, Conference on Information and Knowledge Management (CIKM), Oct 2023.
4. Yinsheng He, Xingyu Li, Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data, Proc. Medical Imaging with Deep Learning (MIDL), Jul 2023. Source Code
5. Pengyue Hou, Jie Han, Xingyu Li, Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting, The AAAI Conference on Artificial Intelligence (AAAI), Feb 2023. Source Code
6. Hanqiu Deng, Zhaoxiang Zhang, Xingyu Li, Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2023.
7. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Artificial Intelligence in Robot-Assisted Surgery: Applications to Surgical Skills Assessment and Transfer, Medical and Healthcare Robotics, 2023.
8. Peican Zhu, Jinbang Hong, Xingyu Li, Keke Tang, Zhen Wang, SGMA: A Novel Adversarial Attack Approach with Improved Transferability, Complex & Intelligent Systems, 2023.
9. Jianning Li, David G. Ellisd, Oldˇrich Kodymm, Laure`l Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama KrishnaSaiS. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Sˇpaneˇl, Michele R. Aizenberg, Jens Kleesiek, Jan Egger, Towards Clinical Applicability and Computation Efficiency in Automatic Cranial Implant Design: An overview of the AutoImplant 2021 Cranial Implant Design Challenge, Medical Image Analysis, 2023.
10. Roger J. Zemp, Matthew T. Martell, Nathaniel J.M. Haven, Ewan McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy, Nature Communications, 2023.
11. Shuangzhi Li, Zhijie Wang, Felix Jufei-Xu, Qing Kuo, Xingyu Li, Lei Ma, Common corruption robustness of point cloud detection: Benchmark and Enhancement, IEEE Transactions on Multimedia (TMM), 2023.
12. Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng, Object Wake-up: 3D Object Rigging from a Single Image, Proc. European Conference on Computer Vision (ECCV), Oct 2022.
13. Hanqiu Deng, Xingyu Li, Self-supervised Anomaly Detection with Random-shape Pseudo-outliers, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2022.
14. Pengyue Hou, Ming Zhou, Jie Han, Petr Musilek, Xingyu Li, Adversarial Fine-tune with Dynamically Regulated Adversary, IEEE International Joint Conference on Neural Networks (IJCNN), Jul 2022.
15. Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng, Generating Diverse and Natural 3D Human Motions from Text, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022.
16. Hanqiu Deng, Xingyu Li, Anomaly Detection via Reverse Distillation from One-Class Embedding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022. Source Code
17. Ali AkbarSadat Asl, Ershadi M.M, S. Sotudian, Xingyu Li, Scott Dick, Fuzzy expert systems for prediction of ICU admission in patients with COVID-19, Intelligent Decision Technologies: An International Journal, Mar 2022.
18. Ewan McAlister, Matthew T. Martell, Nathaniel J.M. Haven, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Improving the histological realism of ultraviolet photoacoustic remote sensing microscopy images using a deep learning based generative adversarial network, Imaging and Sensing : Photons Plus Ultrasound: Imaging and Sensingin, Jan 2022.
19. Nathaniel J.M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Ultraviolet scattering and photoacoustic remote sensing (sPARS) microscopy for virtual H&E histology, Imaging and Sensing : Photons Plus Ultrasound: Imaging and Sensingin, Jan 2022.
20. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Surgical Procedure Understanding, Evaluation, and Interpretation: A Dictionary Factorization, IEEE Transactions on Medical Robotics and Bionics, 2022.
21. Bokai Yang, Ke Fang, Xingyu Li, Cranial Implant Prediction by Learning an Ensemble of Slice-Based Skull Completion Networks, MICCAI challenge AutoImplant 2021, Dec 2021.(Ranking 2nd place in the MICCAI challenge of AutoImplant 2021, Task 1: cranial implant design for diverse synthetic defects on aligned skulls) Source Code
22. Abed Soleymani, Ali AkbarSadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li, Surgical Skill Evaluation From Robot-Assisted Surgery Recordings, International Symposium on Medical Robotics (ISMR), Nov 2021.
23. Nathaniel J.M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Virtual histopathology with ultraviolet scattering and photoacoustic remote sensing microscopy, Optics Letters, vol. 46, no. 20, pp. 5153-5156, Oct 2021.(Highlighted as an Editor's Pick)
24. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Deep Neural Skill Assessment and Transfer: Application to Robotic Surgery Training, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2021.
25. Xingyu Li, Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images, Information Processing in Medical Imaging (IPMI), Jul 2021.
26. Hanqiu Deng, Xingyu Li, AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review, Frontiers in Artificial Intelligence, section Medicine and Public Health, Jul 2021.
27. Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li, Stain style transfer of histopathology images via structure-preserved generative learning, MICCAI workshop on Machine Learning for Medical Image Reconstruction (MLMIR), Oct 2020. Source Code
28. Xingyu Li, Konstantinos N. Plataniotis, How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?, PLOS One, vol. 15, no. 10, Sep 2020.
29. Velicko Vranes, Nemanja Rajković, Xingyu Li, Konstantinos N. Plataniotis, Nataša Todorović Raković, Jelena Milovanović, Ksenija Kanjer, Marko Radulovic, Nebojša Milošević, Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the Prognosis of Distant Metastasis Risk, Cancers, vol. 11, no. 10, pp. 1615, Oct 2019.
30. Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis, Discriminative Pattern Mining for Breast Cancer Pathohistology Image Classification via Fully Convolutional Autoencoder, IEEE Access, vol. 7, pp. 36433 - 36445, 2019.
31. Xingyu Li, Konstantinos N. Plataniotis, Novel Chromaticity Similarity Based Color Texture Descriptor For Digital Pathology Image Analysis, PLOS One, vol. 13, no. 11, Nov 2018.
32. Nemanja Rajković, Xingyu Li, Konstantinos N. Plataniotis, Ksenija Kanjer, Marko Radulovic, Nebojša Milošević, The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis, Frontiers in Oncology, vol. 8, Article. 348, Aug 2018.
33. Xingyu Li, Konstantinos N. Plataniotis, Computational Scratch Assay - A New Frontier for Image Analysis: Preliminary Study of Multi-Cellular Segmentations, Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017.
34. Xingyu Li, Konstantinos N. Plataniotis, Circular Mixture Modeling of Color Distribution for Blind Stain Separation in Pathology Images, IEEE journal of biomedical and health informatics (J-BHI), vol. 21, no. 1, pp. 150 - 161, Jan 2017. Source Code
35. Xingyu Li, Konstantinos N. Plataniotis, Color texture representation using circular-processing based HUE-LBP for histo-pathology image analysis, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2016.
36. Mahdi Marsousi, Xingyu Li, Konstantinos N. Plataniotis, Shape-cludeed label consistent discriminative dictionary learning: an approach to detect and segment multi-class objects in image, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2016.
37. Xingyu Li, Konstantinos N. Plataniotis, Toward breast cancer histopathology image diagnosis using local color binary pattern, Proc. 14th Annual Imaging Network Ontario Symposium (ImNO), Mar 2016.
38. Xingyu Li, Konstantinos N. Plataniotis, Diagnostic color estimation of tissue components in pathology images, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2015.(Top 10% Paper Recognition)
39. Xingyu Li, Konstantinos N. Plataniotis, A complete color normalization approach to histo-pathology images using color cues computed from saturation-weighted statistics, IEEE Trans. on Biomedical Engineering (TBME), vol. 62, no. 7, pp. 1862 - 1873, Jul 2015. Source Code
40. Xingyu Li, Konstantinos N. Plataniotis, Blind stain decomposition for histopathology images using circular nature of chroma components, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015.
41. Xingyu Li, Konstantinos N. Plataniotis, Color model comparative analysis for breast cancer diagnosis using h and e stained images, Proc. SPIE Medical Imaging 2015: Digital Pathology, vol. 9420, Feb 2015.
42. Xingyu Li, H. Vicky Zhao, An efficient key management scheme for live streaming, Proc. IEEE Global Communications Conference (GlobeCom), Dec 2009.