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\n  \n 2024\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold.\n \n \n \n \n\n\n \n Dan, T.; Wei, Z.; Kim, W. H.; and Wu, G.\n\n\n \n\n\n\n 2024.\n accepted by ICML 2024, arXiv preprint arXiv:2405.16357\n\n\n\n
\n\n\n\n \n \n \"Exploring link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@unpublished{dan2024exploring,\n  title={Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold},\n  author={Dan, Tingting and Wei, Ziquan and Kim, Won Hwa and Wu, Guorong},\n  note={accepted by ICML 2024, arXiv preprint arXiv:2405.16357},\n  url_Link={https://icml.cc/virtual/2024/poster/34579},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Symmetry engineering in 2D bioelectronics facilitating augmented biosensing interfaces.\n \n \n \n\n\n \n Wu, Y.; Liu, Y.; Li, Y.; Wei, Z.; Xing, S.; Wang, Y.; Zhu, D.; Guo, Z.; Zhang, A.; Yuan, G.; and others\n\n\n \n\n\n\n 2024.\n arXiv preprint arXiv:2406.13958\n\n\n\n
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@unpublished{wu2024symmetry,\n  title={Symmetry engineering in 2D bioelectronics facilitating augmented biosensing interfaces},\n  author={Wu, Yizhang and Liu, Yihan and Li, Yuan and Wei, Ziquan and Xing, Sicheng and Wang, Yunlang and Zhu, Dashuai and Guo, Ziheng and Zhang, Anran and Yuan, Gongkai and others},\n  note={arXiv preprint arXiv:2406.13958},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism.\n \n \n \n\n\n \n Wei, Z.; Dan, T.; Ding, J.; Laurienti, P.; and Wu, G.\n\n\n \n\n\n\n 2024.\n accepted by MICCAI 2024\n\n\n\n
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@unpublished{wei2024representing,\n  title={Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism},\n  author={Wei, Ziquan and Dan, Tingting and Ding, Jiaqi and Laurienti, Paul and Wu, Guorong},\n  note={accepted by MICCAI 2024},\n  year={2024}\n}\n
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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images.\n \n \n \n \n\n\n \n Wei, Z.; Dan, T.; Ding, J.; Dere, M.; and Wu, G.\n\n\n \n\n\n\n In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 46–55, 2023. Springer Nature Switzerland Cham\n \n\n\n\n
\n\n\n\n \n \n \"A link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wei2023general,\n  title={A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images},\n  author={Wei, Ziquan and Dan, Tingting and Ding, Jiaqi and Dere, Mustafa and Wu, Guorong},\n  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},\n  pages={46--55},\n  year={2023},\n  url_Link={https://www.researchgate.net/publication/374344012_A_General_Stitching_Solution_for_Whole-Brain_3D_Nuclei_Instance_Segmentation_from_Microscopy_Images},\n  organization={Springer Nature Switzerland Cham}\n}\n\n
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\n \n\n \n \n \n \n \n \n High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps.\n \n \n \n \n\n\n \n Wei, Z.; Dan, T.; Ding, J.; McCormick, C.; Kyere, F. A; Kim, M.; Borland, D.; Stein, J. L; and Wu, G.\n\n\n \n\n\n\n In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pages 1–5, 2023. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"High link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wei2023high,\n  title={High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps},\n  author={Wei, Ziquan and Dan, Tingting and Ding, Jiaqi and McCormick, Carolyn and Kyere, Felix A and Kim, Minjeong and Borland, David and Stein, Jason L and Wu, Guorong},\n  booktitle={2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)},\n  pages={1--5},\n  year={2023},\n  url_Link={https://ieeexplore.ieee.org/abstract/document/10230745},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n \n Re-think and re-design graph neural networks in spaces of continuous graph diffusion functionals.\n \n \n \n \n\n\n \n Dan, T.; Ding, J.; Wei, Z.; Kovalsky, S.; Kim, M.; Kim, W. H.; and Wu, G.\n\n\n \n\n\n\n In Advances in Neural Information Processing Systems, volume 36, pages 59375–59387, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Re-think link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dan2023re,\n  title={Re-think and re-design graph neural networks in spaces of continuous graph diffusion functionals},\n  author={Dan, Tingting and Ding, Jiaqi and Wei, Ziquan and Kovalsky, Shahar and Kim, Minjeong and Kim, Won Hwa and Wu, Guorong},\n  booktitle={Advances in Neural Information Processing Systems},\n  volume={36},\n  pages={59375--59387},\n  url_Link={https://neurips.cc/virtual/2023/poster/73021},\n  year={2023}\n}\n\n\n
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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data.\n \n \n \n\n\n \n Wei, Z.; Cheng, S.; Cai, J.; Zeng, S.; Liu, X.; and Wang, Z.\n\n\n \n\n\n\n 2022.\n arXiv preprint arXiv:2205.14625\n\n\n\n
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@unpublished{wei2022cervical,\n  title={Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data},\n  author={Wei, Ziquan and Cheng, Shenghua and Cai, Jing and Zeng, Shaoqun and Liu, Xiuli and Wang, Zehua},\n  note={arXiv preprint arXiv:2205.14625},\n  year={2022}\n}\n\n
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\n  \n 2021\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features.\n \n \n \n\n\n \n Wei, Z.; Cheng, S.; Hu, J.; Chen, L.; Zeng, S.; and Liu, X.\n\n\n \n\n\n\n 2021.\n arXiv preprint arXiv:2106.15113\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@unpublished{wei2021efficient,\n  title={An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features},\n  author={Wei, Ziquan and Cheng, Shenghua and Hu, Junbo and Chen, Li and Zeng, Shaoqun and Liu, Xiuli},\n  note={arXiv preprint arXiv:2106.15113},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Robust whole slide image analysis for cervical cancer screening using deep learning.\n \n \n \n\n\n \n Cheng, S.; Liu, S.; Yu, J.; Rao, G.; Xiao, Y.; Han, W.; Zhu, W.; Lv, X.; Li, N.; Cai, J.; and others\n\n\n \n\n\n\n Nature communications, 12(1): 5639. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{cheng2021robust,\n  title={Robust whole slide image analysis for cervical cancer screening using deep learning},\n  author={Cheng, Shenghua and Liu, Sibo and Yu, Jingya and Rao, Gong and Xiao, Yuwei and Han, Wei and Zhu, Wenjie and Lv, Xiaohua and Li, Ning and Cai, Jing and others},\n  journal={Nature communications},\n  volume={12},\n  number={1},\n  pages={5639},\n  year={2021},\n  publisher={Nature Publishing Group UK London}\n}\n\n
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\n \n\n \n \n \n \n \n Continuous emotion recognition with audio-visual leader-follower attentive fusion.\n \n \n \n\n\n \n Zhang, S.; Ding, Y.; Wei, Z.; and Guan, C.\n\n\n \n\n\n\n In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 3567–3574, 2021. \n \n\n\n\n
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@inproceedings{zhang2021continuous,\n  title={Continuous emotion recognition with audio-visual leader-follower attentive fusion},\n  author={Zhang, Su and Ding, Yi and Wei, Ziquan and Guan, Cuntai},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},\n  pages={3567--3574},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Non-rigid image registration with dynamic Gaussian component density and space curvature preservation.\n \n \n \n\n\n \n Yang, Z.; Yang, Y.; Yang, K.; and Wei, Z.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 28(5): 2584–2598. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{yang2018non,\n  title={Non-rigid image registration with dynamic Gaussian component density and space curvature preservation},\n  author={Yang, Zhuoqian and Yang, Yang and Yang, Kun and Wei, Ziquan},\n  journal={IEEE Transactions on Image Processing},\n  volume={28},\n  number={5},\n  pages={2584--2598},\n  year={2018},\n  publisher={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Non-rigid point set registration using dual-feature finite mixture model and global-local structural preservation.\n \n \n \n\n\n \n Zhang, S.; Yang, K.; Yang, Y.; Luo, Y.; and Wei, Z.\n\n\n \n\n\n\n Pattern Recognition, 80: 183–195. 2018.\n \n\n\n\n
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@article{zhang2018non,\n  title={Non-rigid point set registration using dual-feature finite mixture model and global-local structural preservation},\n  author={Zhang, Su and Yang, Kun and Yang, Yang and Luo, Yi and Wei, Ziquan},\n  journal={Pattern Recognition},\n  volume={80},\n  pages={183--195},\n  year={2018},\n  publisher={Elsevier}\n}\n\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A small UAV based multi-temporal image registration for dynamic agricultural terrace monitoring.\n \n \n \n\n\n \n Wei, Z.; Han, Y.; Li, M.; Yang, K.; Yang, Y.; Luo, Y.; and Ong, S.\n\n\n \n\n\n\n Remote Sensing, 9(9): 904. 2017.\n \n\n\n\n
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@article{wei2017small,\n  title={A small UAV based multi-temporal image registration for dynamic agricultural terrace monitoring},\n  author={Wei, Ziquan and Han, Yifeng and Li, Mengya and Yang, Kun and Yang, Yang and Luo, Yi and Ong, Sim-Heng},\n  journal={Remote Sensing},\n  volume={9},\n  number={9},\n  pages={904},\n  year={2017},\n  publisher={MDPI}\n}\n\n
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