2023 Arxiv Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation Weinan Song, Yaxuan Zhu Zhu, Lei He, Yingnian Wu, and Jianwen Xie In Arixv, 2023 Bib PDF @inproceedings{song2023_progressive_starcoop, abbr = {Arxiv}, bibtex_show = {true}, title = {Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation}, author = {Song, Weinan and Zhu, Yaxuan Zhu and He, Lei and Wu, Yingnian and Xie, Jianwen}, booktitle = {Arixv}, year = {2023}, pdf = {https://arxiv.org/abs/2306.14448}, preview = {progressive_starcoop.png} } Arxiv Oral-NeXF: 3D Oral Reconstruction with Neural X-ray Field from Panoramic Imaging Weinan Song, Haoxin Zheng, and Jiawei Yang In Arixv, 2023 Bib PDF @inproceedings{song2023_oral_nexf, abbr = {Arxiv}, bibtex_show = {true}, title = {Oral-NeXF: 3D Oral Reconstruction with Neural X-ray Field from Panoramic Imaging}, author = {Song, Weinan and Zheng, Haoxin and Yang, Jiawei}, booktitle = {Arixv}, year = {2023}, pdf = {https://arxiv.org/pdf/2303.12123.pdf}, preview = {oral_nexf.png} } ISBI MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Xiaowei Ding, and Lei He In 2023 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2023 Bib PDF @inproceedings{song2023, abbr = {ISBI}, bibtex_show = {true}, title = {MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan}, author = {Song, Weinan and Fotedar, Gaurav and Tajbakhsh, Nima and Zhou, Ziheng and Ding, Xiaowei and He, Lei}, booktitle = {2023 IEEE 18th International Symposium on Biomedical Imaging (ISBI)}, pages = {Soon}, year = {2023}, organization = {IEEE}, pdf = {https://arxiv.org/pdf/2203.06363.pdf}, preview = {mdt_net.png} } 2021 AAAI Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, and Lei He In Proceedings of the AAAI conference on artificial intelligence, 2021 Bib PDF Code @inproceedings{song2021oral, abbr = {AAAI}, bibtex_show = {true}, title = {Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray}, author = {Song, Weinan and Liang, Yuan and Yang, Jiawei and Wang, Kun and He, Lei}, booktitle = {Proceedings of the AAAI conference on artificial intelligence}, volume = {35}, number = {1}, pages = {566--573}, year = {2021}, selected = {true}, pdf = {https://www.aaai.org/AAAI21Papers/AAAI-1645.SongW.pdf}, preview = {oral_3d.png}, code = {https://github.com/WayneSoong/Oral-3d} } ISBI T-Net: Learning Feature Representation With Task-Specific Supervision For Biomedical Image Analysis Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, and Lei He In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 Bib PDF @inproceedings{song2021t, abbr = {ISBI}, bibtex_show = {true}, title = {T-Net: Learning Feature Representation With Task-Specific Supervision For Biomedical Image Analysis}, author = {Song, Weinan and Liang, Yuan and Yang, Jiawei and Wang, Kun and He, Lei}, booktitle = {2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)}, pages = {1924--1928}, year = {2021}, organization = {IEEE}, pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9433945}, preview = {t_net.png} } ISBI Exploring instance-level uncertainty for medical detection Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, and Lei He In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 Bib PDF @inproceedings{yang2021exploring, abbr = {ISBI}, bibtex_show = {true}, title = {Exploring instance-level uncertainty for medical detection}, author = {Yang, Jiawei and Liang, Yuan and Zhang, Yao and Song, Weinan and Wang, Kun and He, Lei}, booktitle = {2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)}, pages = {448--452}, year = {2021}, organization = {IEEE}, pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9434165}, preview = {uncertain.png} } 2020 MICCAI X2teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, and Lei He In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020 Bib HTML @inproceedings{liang2020x2teeth, abbr = {MICCAI}, bibtex_show = {true}, title = {X2teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph}, author = {Liang, Yuan and Song, Weinan and Yang, Jiawei and Qiu, Liang and Wang, Kun and He, Lei}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages = {400--409}, year = {2020}, organization = {Springer}, html = {https://link.springer.com/chapter/10.1007/978-3-030-59713-9_39}, preview = {X2teeth.png} } 2019 MICCAI Comparenet: Anatomical Segmentation Network with Deep Non-local Label Fusion Yuan Liang, Weinan Song, JP Dym, Kun Wang, and Lei He In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019 Bib PDF @inproceedings{liang2019comparenet, abbr = {MICCAI}, bibtex_show = {true}, title = {Comparenet: Anatomical Segmentation Network with Deep Non-local Label Fusion}, author = {Liang, Yuan and Song, Weinan and Dym, JP and Wang, Kun and He, Lei}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages = {292--300}, year = {2019}, organization = {Springer}, pdf = {https://link.springer.com/chapter/10.1007/978-3-030-32248-9_33}, preview = {compare_net.png} } 2017 VTC An Snsupervised-learning-based Method for Multi-hop Wireless Broadcast Relay Selection in Urban Vehicular Networks Weinan Song, Fanhui Zeng, Jingzhi Hu, Zhijun Wang, and Xinyu Mao In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017 Bib PDF @inproceedings{song2017unsupervised, abbr = {VTC}, bibtex_show = {true}, title = {An Snsupervised-learning-based Method for Multi-hop Wireless Broadcast Relay Selection in Urban Vehicular Networks}, author = {Song, Weinan and Zeng, Fanhui and Hu, Jingzhi and Wang, Zhijun and Mao, Xinyu}, booktitle = {2017 IEEE 85th Vehicular Technology Conference (VTC Spring)}, pages = {1--5}, year = {2017}, organization = {IEEE}, pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108458}, preview = {vtc_17.png} } FGPA Accelerating Binarized Convolutional Neural Networks with Software-programmable FPGAs Ritchie Zhao, Weinan Song, Wentao Zhang, Tianwei Xing, Jeng-Hau Lin, Mani Srivastava, Rajesh Gupta, and Zhiru Zhang In Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017 Bib PDF @inproceedings{zhao2017accelerating, abbr = {FGPA}, bibtex_show = {true}, title = {Accelerating Binarized Convolutional Neural Networks with Software-programmable FPGAs}, author = {Zhao, Ritchie and Song, Weinan and Zhang, Wentao and Xing, Tianwei and Lin, Jeng-Hau and Srivastava, Mani and Gupta, Rajesh and Zhang, Zhiru}, booktitle = {Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays}, pages = {15--24}, year = {2017}, pdf = {https://dl.acm.org/doi/pdf/10.1145/3020078.3021741}, preview = {bnn.png} }