Local Convergence Analysis of FastICA. - Hao Shen 002; Knut Hüper (ICA, 2006)

Local Convergence Properties of Fastica and Some Generalisations. - Knut Hüper; Hao Shen 002; Abd-Krim Seghouane (ICASSP (5), 2006)

Newton-Like Methods for Nonparametric Independent Component Analysis. - Hao Shen 002; Knut Hüper; Alexander J. Smola (ICONIP (1), 2006)

Efficient geometric methods for kernel density estimation based Independent Component Analysis. - Hao Shen 002; Martin Kleinsteuber; Knut Hüper (EUSIPCO, 2007)

On the Relationships Between Power Iteration, Inverse Iteration and FastICA. - Hao Shen 002; Knut Hüper (ICA, 2007)

Generalised Fastica for Independent Subspace Analysis. - Hao Shen 002; Knut Hüper (ICASSP (4), 2007)

Fast Kernel ICA using an Approximate Newton Method. - Hao Shen 002; Stefanie Jegelka; Arthur Gretton (AISTATS, 2007)

Local Convergence Analysis of FastICA and Related Algorithms. - Hao Shen 002; Martin Kleinsteuber; Knut Hüper (IEEE Trans. Neural Networks, 2008)

Dimensionality Reduction in HRTF by Using Multiway Array Analysis. - Martin Rothbucher; Hao Shen 002; Klaus Diepold (Human Centered Robot Systems, Cognition, Interaction, Technology, 2009)

Block Jacobi-type methods for non-orthogonal joint diagonalisation. - Hao Shen 002; Knut Hüper (ICASSP, 2009)

Fast kernel-based independent component analysis. - Hao Shen 002; Stefanie Jegelka; Arthur Gretton (IEEE Trans. Signal Process., 2009)

HRTF customization using multiway array analysis. - Martin Rothbucher; Marko Durkovic; Hao Shen 002; Klaus Diepold (EUSIPCO, 2010)

Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2010)

Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization - Martin Kleinsteuber; Hao Shen 002 (CoRR, 2011)

Video is a Cube. - Christian Keimel; Martin Rothbucher; Hao Shen 002; Klaus Diepold (IEEE Signal Process. Mag., 2011)

A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2012)

Algebraic Solutions to Complex Blind Source Separation. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2012)

HRTF-based localization and separation of multiple sound sources. - Martin Rothbucher; Marko Durkovic; Tim Habigt; Hao Shen 002; Klaus Diepold (RO-MAN, 2012)

Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. - Hao Shen 002; Martin Kleinsteuber (EURASIP J. Adv. Signal Process., 2012)

Blind Source Separation With Compressively Sensed Linear Mixtures. - Martin Kleinsteuber; Hao Shen 002 (IEEE Signal Process. Lett., 2012)

A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. - Martin Kleinsteuber; Hao Shen 002 (GSI, 2013)

A conjugate gradient algorithm for blind sensor calibration in sparse recovery. - Hao Shen 002; Martin Kleinsteuber; Cagdas Bilen; Rémi Gribonval (MLSP, 2013)

Averaging complex subspaces via a Karcher mean approach. - Knut Hüper; Martin Kleinsteuber; Hao Shen 002 (Signal Process., 2013)

Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. - Martin Kleinsteuber; Hao Shen 002 (IEEE Trans. Signal Process., 2013)

Accelerated gradient temporal difference learning algorithms. - Dominik Meyer; Rémy Degenne; Ahmed Omrane; Hao Shen 002 (ADPRL, 2014)

An adaptive dictionary learning approach for modeling dynamical textures. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (ICASSP, 2014)

Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications. - Gilles Chabriel; Martin Kleinsteuber; Eric Moreau; Hao Shen 002; Petr Tichavský; Arie Yeredor (IEEE Signal Process. Mag., 2014)

Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. - Martin Kleinsteuber; Hao Shen 002 (GSI, 2015)

Texture Retrieval Using Scattering Coefficients and Probability Product Kernels. - Alexander Sagel; Dominik Meyer; Hao Shen 002 (LVA/ICA, 2015)

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2015)

Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. - Xian Wei; Martin Kleinsteuber; Hao Shen 002 (LVA/ICA, 2015)

Texture Retrieval via the Scattering Transform. - Alexander Sagel; Dominik Meyer; Hao Shen 002 (CoRR, 2015)

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (CVPR, 2016)

Joint learning dictionary and discriminative features for high dimensional data. - Xian Wei; Yuanxiang Li; Hao Shen 002; Martin Kleinsteuber; Yi Lu Murphey (ICPR, 2016)

Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting. - Johannes Feldmaier; Dominik Meyer; Hao Shen 002; Klaus Diepold (CoRR, 2016)

ℓ1 Regularized Gradient Temporal-Difference Learning. - Dominik Meyer; Hao Shen 002; Klaus Diepold (CoRR, 2016)

Learning to walk with prior knowledge. - Martin Gottwald; Dominik Meyer; Hao Shen 002; Klaus Diepold (AIM, 2017)

Formation control using GQ(λ) reinforcement learning. - Martin Knopp; Can Aykin; Johannes Feldmaier; Hao Shen 002 (RO-MAN, 2017)

Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition. - Xian Wei; Yuanxiang Li; Hao Shen 002; Weidong Xiang; Yi Lu Murphey (Pattern Recognit., 2017)

Dynamical Textures Modeling via Joint Video Dictionary Learning. - Xian Wei; Yuanxiang Li; Hao Shen 002; Fang Chen; Martin Kleinsteuber; Zhongfeng Wang 001 (IEEE Trans. Image Process., 2017)

Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks. - Hao Shen 002 (CVPR, 2018)

Linearizing Visual Processes with Convolutional Variational Autoencoders. - Alexander Sagel; Hao Shen 002 (CoRR, 2018)

A Generative Map for Image-based Camera Localization. - Mingpan Guo; Stefan Matthes; Jiaojiao Ye; Hao Shen 002 (CoRR, 2019)

Interactive Image Restoration. - Zhiwei Han; Thomas Weber 005; Stefan Matthes; Yuanting Liu; Hao Shen 002 (CoRR, 2019)

Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. - Xian Wei; Hao Shen 002; Yuanxiang Li; Xuan Tang; Fengxiang Wang; Martin Kleinsteuber; Yi Lu Murphey (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dynamic Variational Autoencoders for Visual Process Modeling. - Alexander Sagel; Hao Shen 002 (ICASSP, 2020)

Robust fusion for RGB-D tracking using CNN features. - Yong Wang 032; Xian Wei; Hao Shen 002; Lu Ding; Jiuqing Wan (Appl. Soft Comput., 2020)

Metapath- and Entity-aware Graph Neural Network for Recommendation. - Zhiwei Han; Muhammad Umer Anwaar; Shyam Arumugaswamy; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (CoRR, 2020)

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. - Alexander Sagel; Amit Sahu; Stefan Matthes; Holger Pfeifer; Tianming Qiu; Harald Rueß; Hao Shen 002; Julian Wörmann (CoRR, 2020)

CNN tracking based on data augmentation. - Yong Wang 032; Xian Wei; Xuan Tang; Hao Shen 002; Lu Ding (Knowl. Based Syst., 2020)

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Adaptive model updating for robust object tracking. - Yong Wang 032; Xian Wei; Hao Shen 002; Xuan Tang; Hui Yu (Signal Process. Image Commun., 2020)

Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. - Alexander Sagel; Julian Wörmann; Hao Shen 002 (ICASSP, 2021)

Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation. - Martin Gottwald; Sven Gronauer; Hao Shen 002; Klaus Diepold (CoRR, 2021)

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles. - Yong Wang 032; Xian Wei; Hao Shen 002; Jilin Hu; Lingkun Luo (Neural Comput. Appl., 2021)

Channel Assignment for Hybrid NOMA Systems With Deep Reinforcement Learning. - Jianzhang Zheng; Xuan Tang; Xian Wei; Hao Shen 002; Lijun Zhao 003 (IEEE Wirel. Commun. Lett., 2021)

Hand and Arm Gesture-based Human-Robot Interaction: A Review. - Xihao Wang; Hao Shen 002; Hui Yu; Jielong Guo; Xian Wei (ICACS, 2022)

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection. - Ming Gui; Tianming Qiu; Fridolin Bauer; Hao Shen 002 (ITSC, 2022)

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. - Muhammad Umer Anwaar; Zhiwei Han; Shyam Arumugaswamy; Rayyan Ahmad Khan; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (MCFR@MM, 2022)

SVIT: Hybrid Vision Transformer Models with Scattering Transform. - Tianming Qiu; Ming Gui; Cheng Yan; Ziqing Zhao; Hao Shen 002 (MLSP, 2022)

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification. - Jianzhang Zheng; Fan Yang; Hao Shen 002; Xuan Tang; Mingsong Chen 001; Liang Song; Xian Wei (CoRR, 2022)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - 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; et al. (CoRR, 2022)

Adaptive Fusion CNN Features for RGBT Object Tracking. - Yong Wang 032; Xian Wei; Xuan Tang; Hao Shen 002; Huanlong Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles. - Utku Ayvaz; Chih-Hong Cheng; Hao Shen 002 (IJCNN, 2023)

Scene Understanding for Autonomous Driving Using Visual Question Answering. - Adrien Wantiez; Tianming Qiu; Stefan Matthes; Hao Shen 002 (IJCNN, 2023)

Towards a Unified Framework of Contrastive Learning for Disentangled Representations. - Stefan Matthes; Zhiwei Han; Hao Shen 002 (NeurIPS, 2023)

Couplformer: Rethinking Vision Transformer with Coupling Attention. - Hai Lan; Xihao Wang; Hao Shen 002; Peidong Liang; Xian Wei (WACV, 2023)

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations. - Jianzhang Zheng; Hao Shen 002; Jian Yang 034; Xuan Tang; Mingsong Chen 001; Hui Yu; Jielong Guo; Xian Wei (CoRR, 2023)

Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction. - Shiqing Wu 001; Weihua Li 007; Hao Shen 002; Quan Bai 001 (Inf. Sci., 2023)

Multi-Agent Credit Assignment with Pretrained Language Models. - Wenhao Li 001; Dan Qiao; Baoxiang Wang 001; Xiangfeng Wang; Wei Yin; Hao Shen 002; Bo Jin 003; Hongyuan Zha (AISTATS, 2025)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. - Di Wu; Xian Wei; Guang Chen 001; Hao Shen 002; Xiangfeng Wang; Wenhao Li 001; Bo Jin 003 (CoRR, 2025)

VulStamp: Vulnerability Assessment using Large Language Model. - Hao Shen 002; Ming Hu 003; Xiaofei Xie; Jiaye Li; Mingsong Chen 001 (CoRR, 2025)

White paper: Towards Human-centric and Sustainable 6G Services - the fortiss Research Perspective. - Rute C. Sofia; Hao Shen 002; Yuanting Liu; Severin Kacianka; Holger Pfeifer (CoRR, 2025)

Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning. - Benedikt Roth; Stephan Rappensperger; Tianming Qiu; Hamza Imamovic; Julian Wörmann; Hao Shen 002 (CoRR, 2025)