Hao Shen

86 papers A* 4A 3B 5Misc 4Journal 47Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Provable Subspace Identification of Nonlinear Multi-view CCA.
CoRR
Zhiwei Han, Stefan Matthes, Hao Shen
2025 A* conf
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.
IJCAI
Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin
2025 J jnl
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.
CoRR
Di Wu, Xian Wei, Guang Chen, Hao Shen, Xiangfeng Wang, Wenhao Li, Bo Jin
2025 J jnl
Mechanistic Independence: A Principle for Identifiable Disentangled Representations.
CoRR
Stefan Matthes, Zhiwei Han, Hao Shen
2025 A conf
Multi-Agent Credit Assignment with Pretrained Language Models.
AISTATS
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha
2025 J jnl
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors.
CoRR
Zhiwei Han, Stefan Matthes, Hao Shen
2025 J jnl
Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning.
CoRR
Benedikt Roth, Stephan Rappensperger, Tianming Qiu, Hamza Imamovic, Julian Wörmann, Hao Shen
2025 J jnl
VulStamp: Vulnerability Assessment using Large Language Model.
CoRR
Hao Shen, Ming Hu, Xiaofei Xie, Jiaye Li, Mingsong Chen
2025 J jnl
White paper: Towards Human-centric and Sustainable 6G Services - the fortiss Research Perspective.
CoRR
Rute C. Sofia, Hao Shen, Yuanting Liu, Severin Kacianka, Holger Pfeifer
2023 J jnl
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations.
CoRR
Jianzhang Zheng, Hao Shen, Jian Yang, Xuan Tang, Mingsong Chen, Hui Yu, Jielong Guo, Xian Wei
2023 A conf
Couplformer: Rethinking Vision Transformer with Coupling Attention.
WACV
Hai Lan, Xihao Wang, Hao Shen, Peidong Liang, Xian Wei
2023 J jnl
Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction.
Inf. Sci.
Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
2023 B conf
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles.
IJCNN
Utku Ayvaz, Chih-Hong Cheng, Hao Shen
2023 J jnl
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles.
CoRR
Utku Ayvaz, Chih-Hong Cheng, Hao Shen
2023 B conf
Scene Understanding for Autonomous Driving Using Visual Question Answering.
IJCNN
Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen
2023 A* conf
Towards a Unified Framework of Contrastive Learning for Disentangled Representations.
NeurIPS
Stefan Matthes, Zhiwei Han, Hao Shen
2023 J jnl
Towards a Unified Framework of Contrastive Learning for Disentangled Representations.
CoRR
Stefan Matthes, Zhiwei Han, Hao Shen
2022 J jnl
Adaptive Fusion CNN Features for RGBT Object Tracking.
IEEE Trans. Intell. Transp. Syst.
Yong Wang, Xian Wei, Xuan Tang, Hao Shen, Huanlong Zhang
2022 — conf
Hand and Arm Gesture-based Human-Robot Interaction: A Review.
ICACS
Xihao Wang, Hao Shen, Hui Yu, Jielong Guo, Xian Wei
2022 J jnl
Hand and Arm Gesture-based Human-Robot Interaction: A Review.
CoRR
Xihao Wang, Hao Shen, Hui Yu, Jielong Guo, Xian Wei
2022 J jnl
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR
Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer
2022 — conf
Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection.
ITSC
Ming Gui, Tianming Qiu, Fridolin Bauer, Hao Shen
2022 J jnl
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification.
CoRR
Jianzhang Zheng, Fan Yang, Hao Shen, Xuan Tang, Mingsong Chen, Liang Song, Xian Wei
2022 — conf
On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.
MCFR@MM
Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
2022 — conf
SVIT: Hybrid Vision Transformer Models with Scattering Transform.
MLSP
Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen
2021 J jnl
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation.
CoRR
Martin Gottwald, Sven Gronauer, Hao Shen, Klaus Diepold
2021 J jnl
Channel Assignment for Hybrid NOMA Systems With Deep Reinforcement Learning.
IEEE Wirel. Commun. Lett.
Jianzhang Zheng, Xuan Tang, Xian Wei, Hao Shen, Lijun Zhao
2021 Misc conf
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.
ICASSP
Alexander Sagel, Julian Wörmann, Hao Shen
2021 J jnl
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.
CoRR
Alexander Sagel, Julian Wörmann, Hao Shen
2021 J jnl
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction.
CoRR
Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
2021 J jnl
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.
Neural Comput. Appl.
Yong Wang, Xian Wei, Hao Shen, Jilin Hu, Lingkun Luo
2020 J jnl
Adaptive model updating for robust object tracking.
Signal Process. Image Commun.
Yong Wang, Xian Wei, Hao Shen, Xuan Tang, Hui Yu
2020 J jnl
CNN tracking based on data augmentation.
Knowl. Based Syst.
Yong Wang, Xian Wei, Xuan Tang, Hao Shen, Lu Ding
2020 Misc conf
Dynamic Variational Autoencoders for Visual Process Modeling.
ICASSP
Alexander Sagel, Hao Shen
2020 J jnl
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.
CoRR
Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann
2020 J jnl
Metapath- and Entity-aware Graph Neural Network for Recommendation.
CoRR
Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
2020 J jnl
Robust fusion for RGB-D tracking using CNN features.
Appl. Soft Comput.
Yong Wang, Xian Wei, Hao Shen, Lu Ding, Jiuqing Wan
2020 J jnl
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
IEEE Trans. Pattern Anal. Mach. Intell.
Xian Wei, Hao Shen, Martin Kleinsteuber
2019 J jnl
A Generative Map for Image-based Camera Localization.
CoRR
Mingpan Guo, Stefan Matthes, Jiaojiao Ye, Hao Shen
2019 J jnl
Interactive Image Restoration.
CoRR
Zhiwei Han, Thomas Weber, Stefan Matthes, Yuanting Liu, Hao Shen
2019 J jnl
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey
2018 J jnl
Linearizing Visual Processes with Convolutional Variational Autoencoders.
CoRR
Alexander Sagel, Hao Shen
2018 A* conf
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks.
CVPR
Hao Shen
2018 J jnl
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
CoRR
Xian Wei, Hao Shen, Martin Kleinsteuber
2017 J jnl
Dynamical Textures Modeling via Joint Video Dictionary Learning.
IEEE Trans. Image Process.
Xian Wei, Yuanxiang Li, Hao Shen, Fang Chen, Martin Kleinsteuber, Zhongfeng Wang
2017 B conf
Formation control using GQ(λ) reinforcement learning.
RO-MAN
Martin Knopp, Can Aykin, Johannes Feldmaier, Hao Shen
2017 J jnl
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition.
Pattern Recognit.
Xian Wei, Yuanxiang Li, Hao Shen, Weidong Xiang, Yi Lu Murphey
2017 — conf
Learning to walk with prior knowledge.
AIM
Martin Gottwald, Dominik Meyer, Hao Shen, Klaus Diepold
2016 B conf
Joint learning dictionary and discriminative features for high dimensional data.
ICPR
Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey
2016 J jnl
Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting.
CoRR
Johannes Feldmaier, Dominik Meyer, Hao Shen, Klaus Diepold
2016 A* conf
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations.
CVPR
Xian Wei, Hao Shen, Martin Kleinsteuber
2016 J jnl
ℓ
CoRR
Dominik Meyer, Hao Shen, Klaus Diepold
2015 — conf
A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices.
LVA/ICA
Hao Shen, Martin Kleinsteuber
2015 — conf
Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization.
GSI
Martin Kleinsteuber, Hao Shen
2015 — conf
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
LVA/ICA
Xian Wei, Martin Kleinsteuber, Hao Shen
2015 — conf
Texture Retrieval Using Scattering Coefficients and Probability Product Kernels.
LVA/ICA
Alexander Sagel, Dominik Meyer, Hao Shen
2015 J jnl
Texture Retrieval via the Scattering Transform.
CoRR
Alexander Sagel, Dominik Meyer, Hao Shen
2014 — conf
Accelerated gradient temporal difference learning algorithms.
ADPRL
Dominik Meyer, Rémy Degenne, Ahmed Omrane, Hao Shen
2014 Misc conf
An adaptive dictionary learning approach for modeling dynamical textures.
ICASSP
Xian Wei, Hao Shen, Martin Kleinsteuber
2014 J jnl
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications.
IEEE Signal Process. Mag.
Gilles Chabriel, Martin Kleinsteuber, Eric Moreau, Hao Shen, Petr Tichavský, Arie Yeredor
2013 — conf
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices.
GSI
Martin Kleinsteuber, Hao Shen
2013 — conf
A conjugate gradient algorithm for blind sensor calibration in sparse recovery.
MLSP
Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval
2013 J jnl
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures.
CoRR
Xian Wei, Hao Shen, Martin Kleinsteuber
2013 J jnl
Averaging complex subspaces via a Karcher mean approach.
Signal Process.
Knut Hüper, Martin Kleinsteuber, Hao Shen
2013 J jnl
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization.
IEEE Trans. Signal Process.
Martin Kleinsteuber, Hao Shen
2012 — conf
A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis.
LVA/ICA
Hao Shen, Martin Kleinsteuber
2012 — conf
Algebraic Solutions to Complex Blind Source Separation.
LVA/ICA
Hao Shen, Martin Kleinsteuber
2012 J jnl
Blind Source Separation With Compressively Sensed Linear Mixtures.
IEEE Signal Process. Lett.
Martin Kleinsteuber, Hao Shen
2012 B conf
HRTF-based localization and separation of multiple sound sources.
RO-MAN
Martin Rothbucher, Marko Durkovic, Tim Habigt, Hao Shen, Klaus Diepold
2012 J jnl
Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis.
EURASIP J. Adv. Signal Process.
Hao Shen, Martin Kleinsteuber
2011 J jnl
Blind Source Separation with Compressively Sensed Linear Mixtures
CoRR
Martin Kleinsteuber, Hao Shen
2011 J jnl
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization
CoRR
Martin Kleinsteuber, Hao Shen
2011 J jnl
Video is a Cube.
IEEE Signal Process. Mag.
Christian Keimel, Martin Rothbucher, Hao Shen, Klaus Diepold
2010 — conf
Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform.
LVA/ICA
Hao Shen, Martin Kleinsteuber
2010 — conf
HRTF customization using multiway array analysis.
EUSIPCO
Martin Rothbucher, Marko Durkovic, Hao Shen, Klaus Diepold
2009 Misc conf
Block Jacobi-type methods for non-orthogonal joint diagonalisation.
ICASSP
Hao Shen, Knut Hüper
2009 — ch.
Dimensionality Reduction in HRTF by Using Multiway Array Analysis.
Human Centered Robot Systems, Cognition, Interaction, Technology
Martin Rothbucher, Hao Shen, Klaus Diepold
2009 J jnl
Fast kernel-based independent component analysis.
IEEE Trans. Signal Process.
Hao Shen, Stefanie Jegelka, Arthur Gretton
2008 J jnl
Local Convergence Analysis of FastICA and Related Algorithms.
IEEE Trans. Neural Networks
Hao Shen, Martin Kleinsteuber, Knut Hüper
2007 — conf
Efficient geometric methods for kernel density estimation based Independent Component Analysis.
EUSIPCO
Hao Shen, Martin Kleinsteuber, Knut Hüper
2007 A conf
Fast Kernel ICA using an Approximate Newton Method.
AISTATS
Hao Shen, Stefanie Jegelka, Arthur Gretton
2007 — conf
Generalised Fastica for Independent Subspace Analysis.
ICASSP (4)
Hao Shen, Knut Hüper
2007 — conf
On the Relationships Between Power Iteration, Inverse Iteration and FastICA.
ICA
Hao Shen, Knut Hüper
2006 — conf
Local Convergence Analysis of FastICA.
ICA
Hao Shen, Knut Hüper
2006 — conf
Local Convergence Properties of Fastica and Some Generalisations.
ICASSP (5)
Knut Hüper, Hao Shen, Abd-Krim Seghouane
2006 — conf
Newton-Like Methods for Nonparametric Independent Component Analysis.
ICONIP (1)
Hao Shen, Knut Hüper, Alexander J. Smola