Jul 19, 2024 | Our paper Hybrid-CSR was accepted as oral presentation at BMVC 2024. |
Jun 24, 2024 | After two-year revisions, our paper “Medical Image Registration via Neural Fields” is finally published in Medical Image Analysis! |
Jun 23, 2024 | Join NEC Labs America as Research Intern in Media Analytics team, mentored by Bingbing Zhuang. |
Apr 23, 2024 | Our paper “LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes” was selected as highlights of CVPR 2024 and will be oral presented at CVPR 2024 Workshop DDADS. |
Mar 05, 2024 | I passed my advancement exam. Committee members: Prof. Xiaohui Xie (Chair), Prof. Alexander C. Berg, Prof. Alexander Ihler and Prof. Yanning Shen. |
Feb 26, 2024 | Our paper “LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes” and “Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning” were accepted at CVPR 2024. |
Jan 16, 2024 | Our paper “Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction” was accepted at ICLR 2024. |
Oct 24, 2023 | Our paper AFTer-SAM, CVTHead and HNDF were accepted at WACV 2024. |
Jun 23, 2023 | Join NEC Labs America as Research Intern in Media Analytics team, mentored by Bingbing Zhuang and Ziyu Jiang. |
Jun 23, 2023 | Our paper “Medgen3d: A deep generative framework for paired 3d image and mask generation” and “Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation” were accepted at MICCAI 2023. |
Oct 10, 2022 | Our paper “Diffeomorphic Image Registration with Neural Velocity Field” and “Representation recovering for self-supervised pre-training on medical images” were accepted at WACV 2023. |
Jul 08, 2022 | Our paper “Identity-aware hand mesh estimation and personalization from rgb images” was accepted at ECCV 2022. |
Mar 02, 2022 | Our paper “Topology-preserving shape reconstruction and registration via neural diffeomorphic flow” was accepted at CVPR 2022. |
Oct 04, 2021 | Our paper “After-unet: Axial fusion transformer unet for medical image segmentation” was accepted at WACV 2022. |
Apr 24, 2021 | Our paper “A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy” was accepted at Radiotherapy and Oncology. |
Apr 03, 2020 | Our paper “Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated Datasets” was accepted at ISBI 2020. |
Mar 05, 2020 | I will be attending University of California, Irvine for a CS Ph.D. this Fall. I’ll be working at the intersection of deep learning and medical image analysis under advisement from Prof. Xiaohui Xie. |