Soft Multicopter Control Using Neural Dynamics Identification. - Yitong Deng; Yaorui Zhang; Xingzhe He; Shuqi Yang; Yunjin Tong; Michael Zhang; Daniel M. DiPietro; Bo Zhu 002 (CoRL, 2020)

AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing. - Xingzhe He; Helen Lu Cao; Bo Zhu 002 (ICLR, 2020)

Learning Physical Constraints with Neural Projections. - Shuqi Yang; Xingzhe He; Bo Zhu 002 (NeurIPS, 2020)

Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics. - Shiying Xiong; Xingzhe He; Yunjin Tong; Bo Zhu 002 (CoRR, 2020)

RoeNets: Predicting Discontinuity of Hyperbolic Systems from Continuous Data. - Shiying Xiong; Xingzhe He; Yunjin Tong; Runze Liu; Bo Zhu 002 (CoRR, 2020)

Nonseparable Symplectic Neural Networks. - Shiying Xiong; Yunjin Tong; Xingzhe He; Shuqi Yang; Cheng Yang; Bo Zhu 002 (ICLR, 2021)

LatentKeypointGAN: Controlling GANs via Latent Keypoints. - Xingzhe He; Bastian Wandt; Helge Rhodin (CoRR, 2021)

Symplectic neural networks in Taylor series form for Hamiltonian systems. - Yunjin Tong; Shiying Xiong; Xingzhe He; Guanghan Pan; Bo Zhu 002 (J. Comput. Phys., 2021)

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. - Xingzhe He; Bastian Wandt; Helge Rhodin (CVPR, 2022)

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints. - Xingzhe He; Bastian Wandt; Helge Rhodin (NeurIPS, 2022)

TeleViewDemo: Experience the Future of 3D Teleconferencing. - Ziyi Xia; Frank Yu; Beibei Xiong; Emily Jia; Seungyeon Baek; James Gregson; Xingzhe He; Helge Rhodin; Sidney S. Fels (SIGGRAPH Asia XR, 2022)

LatentKeypointGAN: Controlling Images via Latent Keypoints - Extended Abstract. - Xingzhe He; Bastian Wandt; Helge Rhodin (CoRR, 2022)

LatentKeypointGAN: Controlling Images via Latent Keypoints. - Xingzhe He; Bastian Wandt; Helge Rhodin (CRV, 2023)

Few-Shot Geometry-Aware Keypoint Localization. - Xingzhe He; Gaurav Bharaj; David Ferman; Helge Rhodin; Pablo Garrido 001 (CVPR, 2023)

Neural Partial Differential Equations with Functional Convolution. - Ziqian Wu; Xingzhe He; Yijun Li; Cheng Yang; Rui Liu; Shiying Xiong; Bo Zhu 002 (CoRR, 2023)

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. - Xingzhe He; Zhiwen Cao; Nicholas I. Kolkin; Lantao Yu; Helge Rhodin; Ratheesh Kalarot (CoRR, 2023)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. - Xingzhe He; Zhiwen Cao; Nicholas I. Kolkin; Lantao Yu; Kun Wan 001; Helge Rhodin; Ratheesh Kalarot (WACV, 2025)

DreamTexture: Shape from Virtual Texture with Analysis by Augmentation. - Ananta R. Bhattarai; Xingzhe He; Alla Sheffer; Helge Rhodin (CoRR, 2025)