Hao Shen

Publications

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• December 2023 Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes, Zhiwei Han and Hao Shen In the Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 23), Curran Associates Inc.. Details URL BIB
• 2022 Laplace Approximation for Real-time Uncertainty Estimation in Object Detection Ming Gui, Tianming Qiu, Fridolin Bauer and Hao Shen 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), ():, 2022. Details BIB
• 2022 SViT: Hybrid Vision Transformer Models with Scattering Transform Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao and Hao Shen 32nd IEEE International Workshop on Machine Learning for Signal Processing (MLSP), ():, 2022. Details BIB
• December 2021 Laplace Approximation with Diagonalized Hessian for Over-parameterized Neural Networks Ming Gui, Ziqing Zhao, Tianming Qiu and Hao Shen NeurIPS 2021, Bayesian Deep Learning Workshop(36):, December 2021. Details URL BIB
• June 2021 Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces Alexander Sagel, Julian Wörmann and Hao Shen In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3755–3759, Details DOI BIB
• May 2020 Dynamic Variational Autoencoders for Visual Process Modeling Alexander Sagel and Hao Shen In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3677-3681, Details DOI BIB
• 2020 Metapath- and Entity-aware Graph Neural Network for Recommendation Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu and Martin Kleinsteuber In Arxiv, . Details URL BIB
• 2020 Personalized Stress Detection with Self-supervised Learned Features Stefan Matthes, Zhiwei Han, Tianming Qiu, Bruno Michel, Sören Klingner, Hao Shen, Yuanting Liu and Bashar Altakrouri , ():, 2020. Details URL BIB
• 2019 Interactive Image Restoration Zhiwei Han, Thomas Weber, Stefan Matthes, Yuanting Liu and Hao Shen In the Neural Information Processing Systems 2019, Human-centric Machine Learning Workshop, . Details URL BIB
• 2018 Towards a Mathematical Understanding of the Difficulty in Learning with Feedforward Neural Networks Hao Shen Proceedings of the 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ():811–820, 2018. Details BIB