news

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.