Publications

More details on Google Scholar.

Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction SIGGRAPH Asia 2025
Kaiwen Jiang, Jia-Mu Sun, Zilu Li, Dan Wang, Tzu-Mao Li, Ravi Ramamoorthi
Paper

StyleMorpheus: Learning a StyleGAN-based 3D-aware morphable face model with a disentangled style space Neurocomputing (2025)
Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du
Paper

Coarse-To-Fine Tensor Trains for Compact Visual Representations ICML 2024
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge Belongie, J Michael Kastoryano and Sagie Benaim
Paper | project website | code

InNeRF: Learning Interpretable Radiance Fields for Generalizable 3D Scene Representation and Rendering ACM-MM 2024
Dan Wang, Xinrui Cui
Paper

Rethinking Few-shot 3D Point Cloud Semantic Segmentation CVPR 2024
Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool and Serge Belongie
Paper | code

Contrastive-enhanced Domain Generalization with Federated Learning IEEE TAI (2023)
Xinhui Yu, Dan Wang, Martin McKeown, and Z. Jane Wang
Paper

Learning Disentangled Features for Nerf-Based Face Reconstruction ICIP 2023
Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, and Shan Du
Paper

Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification IEEE GRSL (2022)
Suhua Zhang, Zhikui Chen, Dan Wang, and Z. Jane Wang
Paper

Transformer-Based End-to-End Anatomical and Functional Image Fusion IEEE TIM (2022)
Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, and Xun Chen
Paper

Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference IEEE TIP (2021)
Dan Wang, Xinrui Cui, Xun Chen, Rabab Ward, and Z. Jane Wang
Paper

Multi-View 3D Reconstruction With Transformers ICCV 2021(Oral)
Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, and Rabab Ward
Paper

Feature-Flow Interpretation of Deep Convolutional Neural Networks IEEE TMM (2020)
Xinrui Cui, Dan Wang, and Z. Jane Wang
Paper

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks IEEE TNNLS (2020)
Xinrui Cui*, Dan Wang*, and Z. Jane Wang (* co-first author)
Paper

Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation IEEE TMM (2019)
Xinrui Cui, Dan Wang, and Z. Jane Wang
Paper

Robust Sparse Unmixing for Hyperspectral Imagery IEEE TGRS (2018)
Dan Wang, Zhenwei Shi, and Xinrui Cui
Paper

Multi-feature Sea–land Segmentation based on Pixel-wise Learning for Optical Remote-sensing Imagery IJRS (2017)
Dan Wang, Xinrui Cui, Fengying Xie, Zhiguo Jiang, and Zhenwei Shi
Paper

Collaborative sparse unmixing of hyperspectral data using L2,P norm IGARSS 2016
Dan Wang, Zhenwei Shi, and Wei Tang
Paper