Publications

2024

  1. ICML
    Parallelized Spatiotemporal Binding
    Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, and Tong Che
    International Conference on Machine Learning (ICML), 2024
    arXiv Website
  2. ECCV
    Denoising Vision Transformers
    Jiawei Yang*, Katie Z Luo*, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q Weinberger, Yonglong Tian, and Yue Wang
    European Conference on Computer Vision (ECCV), 2024
    arXiv Code Website
  3. ICLR
    EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
    Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, and Yue Wang
    International Conference on Learning Representations (ICLR), 2024
    arXiv Code Website

2023

  1. arxiv
    Rethinking Directional Integration in Neural Radiance Fields
    Congyue Deng, Jiawei Yang, Leonidas Guibas, and Yue Wang
    arXiv preprint arXiv:2311.16504 (arxiv), 2023
    arXiv
  2. CVPR
    FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
    Jiawei Yang, Marco Pavone, and Yue Wang
    Proceedings of the IEEE/CVF International Conference on Computer Vision (CVPR), 2023
    arXiv Code Website

2022

  1. IPMI
    Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
    Wentao Pan*, Jiangpeng Yan*, Hanbo Chen*, Jiawei Yang, Zhe Xu, Xiu Li, and Jianhua Yao
    Information Processing in Medical Imaging (IPMI), 2022
    arXiv
  2. NeurIPS
    TreeMoCo: Contrastive Neuron Morphology Representation Learning
    Hanbo Chen*, Jiawei Yang*, Daniel Iascone, Lijuan Liu, Lei He, Hanchuan Peng, and Jianhua Yao
    Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF Code
  3. ECCV
    ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
    Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, and Jianhua Yao
    European Conference on Computer Vision (ECCV), 2022
    arXiv Code
  4. ICLR
    Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
    Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, and Jianhua Yao
    International Conference on Learning Representations (ICLR), 2022
    arXiv Code
  5. MICCAI
    ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
    Jiawei Yang, Hanbo Chen*, Yu Zhao, Fan Yang, Yao Zhang, Lei He, and Jianhua Yao
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
    arXiv Code
  6. MICCAI
    mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
    Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, and Yefeng Zheng
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
    arXiv Code
  7. Med Phys
    Decoupled pyramid correlation network for liver tumor segmentation from CT images
    Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, and Zhiqiang He
    Medical Physics (Med Phys), 2022
    arXiv

2021

  1. MICCAI
    TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
    Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, and Zhiqiang He
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
    arXiv Code
  2. Med. Image Anal.
    The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
    Nicholas Heller, Fabian Isensee, Klaus H Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, and  others
    Medical image analysis (Med. Image Anal.), 2021
    arXiv
  3. MICCAI Workshop
    Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
    Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, and Zhiqiang He
    International Workshop on Statistical Atlases and Computational Models of the Heart, 2020 (MICCAI Workshop), 2021
    arXiv
  4. MICCAI
    Modality-aware mutual learning for multi-modal medical image segmentation
    Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, and Zhiqiang He
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
    arXiv Code
  5. 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
    Proceedings of the AAAI conference on artificial intelligence (AAAI), 2021
    arXiv
  6. IUI
    OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
    Yuan Liang, Liang Qiu, Tiancheng Lu, Zhujun Fang, Dezhan Tu, Jiawei Yang, Tiandong Zhao, Yiting Shao, Kun Wang, Xiang’Anthony’ Chen, and  others
    Conference on Intelligent User Interfaces (IUI), 2021
    arXiv

2020

  1. ISBI
    Exploring Instance-Level Uncertainty for Medical Detection
    Jiawei Yang*, Yuan Liang*, Yao Zhang, Weinan Song, Kun Wang, and Lei He
    International Symposium on Biomedical Imaging (ISBI), 2020
    arXiv Code
  2. ACML
    Atlas-aware convnet for accurate yet robust anatomical segmentation
    Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, and Lei He
    Asian Conference on Machine Learning (ACML), 2020
    arXiv
  3. MICCAI
    X2Teeth: 3D teeth reconstruction from a single panoramic radiograph
    Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, and Lei He
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
    arXiv
  4. 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
    International Symposium on Biomedical Imaging (ISBI), 2020
    arXiv

2019

  1. MICCAI Workshop
    Cascaded volumetric convolutional network for kidney tumor segmentation from CT volumes
    Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, and Cheng Zhong
    KiTS19 Grand Challenge (MICCAI Workshop), 2019
    arXiv