Qiyu Sun
Orcid: 0000-0002-1401-8768
According to our database1,
Qiyu Sun
authored at least 93 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE CAA J. Autom. Sinica, May, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
CoRR, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
IEEE Trans. Control. Netw. Syst., September, 2023
IEEE Trans. Signal Inf. Process. over Networks, 2023
Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation.
CoRR, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks.
Signal Process., 2022
Localized Stability Certificates for Spatially Distributed Systems over Sparse Proximity Graphs.
SIAM J. Control. Optim., 2022
An Ornithologist's Guide for Including Machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio.
Remote. Sens., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoDGraD: A Code-based Distributed Gradient Descent Scheme for Decentralized Convex Optimization.
CoRR, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency.
IEEE Trans. Neural Networks Learn. Syst., 2021
2020
Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems.
IEEE Trans. Signal Inf. Process. over Networks, 2020
IEEE Signal Process. Lett., 2020
Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks.
IEEE Signal Process. Lett., 2020
Patterns, 2020
Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval.
CoRR, 2020
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency.
CoRR, 2020
Random sampling and reconstruction of concentrated signals in a reproducing kernel space.
CoRR, 2020
CoRR, 2020
Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering.
CoRR, 2020
Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview.
CoRR, 2020
Quadratization of Hamilton-Jacobi-Bellman Equation for Near-Optimal Control of Nonlinear Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Approximate Optimal Control Design for a Class of Nonlinear Systems by Lifting Hamilton-Jacobi-Bellman Equation.
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE Trans. Signal Process., 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Stable Phaseless Sampling and Reconstruction of Real-Valued Signals with Finite Rate of Innovations.
CoRR, 2018
Adv. Appl. Math., 2018
Deep Convolutional Neural Networks With Integrated Quadratic Correlation Filters for Automatic Target Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
An Exact and Fast Computation of Discrete Fourier Transform for Polar and Spherical Grid.
IEEE Trans. Signal Process., 2017
Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters.
IEEE Trans. Aerosp. Electron. Syst., 2017
IEEE Signal Process. Lett., 2017
SIAM J. Control. Optim., 2017
Phaseless Sampling and Reconstruction of Real-Valued Signals in Shift-Invariant Spaces.
CoRR, 2017
2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
IEEE Signal Process. Lett., 2015
Proceedings of the 34th IEEE Military Communications Conference, 2015
2014
A Unified Formulation of Gaussian Versus Sparse Stochastic Processes - Part I: Continuous-Domain Theory.
IEEE Trans. Inf. Theory, 2014
Localized nonlinear functional equations and two sampling problems in signal processing.
Adv. Comput. Math., 2014
Proceedings of the American Control Conference, 2014
2013
Recovery of bilevel causal signals with finite rate of innovation using positive sampling kernels
CoRR, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Adv. Comput. Math., 2012
2011
Sparse Approximation Property and Stable Recovery of Sparse Signals From Noisy Measurements.
IEEE Trans. Signal Process., 2011
A unified formulation of Gaussian vs. sparse stochastic processes - Part I: Continuous-domain theory
CoRR, 2011
2010
Uncertainty Principles and Balian-Low type Theorems in Principal Shift-Invariant Spaces
CoRR, 2010
Adv. Comput. Math., 2010
2009
Sampling and Reconstruction of Signals in a Reproducing Kernel Subspace of $L^p({\Bbb R}^d)$
CoRR, 2009
2008
IEEE Trans. Signal Process., 2008
2007
Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition.
IEEE Trans. Image Process., 2007
Int. J. Wavelets Multiresolution Inf. Process., 2007
2006
Nonuniform Average Sampling and Reconstruction of Signals with Finite Rate of Innovation.
SIAM J. Math. Anal., 2006
2004
IEEE Trans. Signal Process., 2004
Adv. Comput. Math., 2004
2003
Compactly Supported Tight Affine Frames with Integer Dilations and Maximum Vanishing Moments.
Adv. Comput. Math., 2003