Yongxin Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Toward effective protection against diffusion-based mimicry through score distillation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Identification of systemic financial risk based on complex network banking.

[BibT_eX]

[DOI]

Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024

Curriculum Learning for Ethereum Phishing Scam Detection.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators.

[BibT_eX]

[DOI]

Joseph Moyalan

IEEE Robotics Autom. Lett., June, 2023

A Gaussian Variational Inference Approach to Motion Planning.

[BibT_eX]

[DOI]

Hongzhe Yu

IEEE Robotics Autom. Lett., May, 2023

Data-driven optimal control via linear transfer operators: A convex approach.

[BibT_eX]

[DOI]

Autom., April, 2023

Signed Graph Neural Networks: A Frequency Perspective.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

A Proximal Algorithm for Sampling.

[BibT_eX]

[DOI]

Jiaming Liang

Trans. Mach. Learn. Res., 2023

Neural Monge Map estimation and its applications.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

An Optimal Control Approach to Particle Filtering on Lie Groups.

[BibT_eX]

[DOI]

Bo Yuan

IEEE Control. Syst. Lett., 2023

Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

On the Contraction Coefficient of the Schrödinger Bridge for Stochastic Linear Systems.

[BibT_eX]

[DOI]

Alexis M. H. Teter

Abhishek Halder

IEEE Control. Syst. Lett., 2023

Learning Gaussian Hidden Markov Models From Aggregate Data.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Efficient Belief Road Map for Planning Under Uncertainty.

[BibT_eX]

[DOI]

Zhenyang Chen

Hongzhe Yu

CoRR, 2023

Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms.

[BibT_eX]

[DOI]

Hongzhe Yu

CoRR, 2023

Online Control for Linear Dynamics: A Data-Driven Approach.

[BibT_eX]

[DOI]

Zishun Liu

CoRR, 2023

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling.

[BibT_eX]

[DOI]

Jiaming Song

CoRR, 2023

Control and estimation of multi-commodity network flow under aggregation.

[BibT_eX]

[DOI]

CoRR, 2023

An optimal control approach to particle filtering.

[BibT_eX]

[DOI]

Autom., 2023

Research on Pilot Protection for Tie Line of Renewable Energy Sources.

[BibT_eX]

[DOI]

IEEE Access, 2023

Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning.

[BibT_eX]

[DOI]

Yong Guan

Zhenzhou Shao

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-driven optimal control under safety constraints using sparse Koopman approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

gDDIM: Generalized denoising diffusion implicit models.

[BibT_eX]

[DOI]

Molei Tao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Sampling of Diffusion Models with Exponential Integrator.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffCollage: Parallel Generation of Large Content with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

On a Class of Gibbs Sampling over Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Improved dimension dependence of a proximal algorithm for sampling.

[BibT_eX]

[DOI]

Bo Yuan

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Nesterov Smoothing for Sampling Without Smoothness.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Stochastic Bridges Over Ensemble of Linear Systems.

[BibT_eX]

[DOI]

Daniel Owusu Adu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Macroscopic Network Circulation for Planar Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

The Most Likely Evolution of Diffusing and Vanishing Particles: Schrödinger Bridges with Unbalanced Marginals.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2022

Mixed norm H2/H∞ and entropy covariance control: a convex optimisation approach.

[BibT_eX]

[DOI]

Wassim M. Haddad

Manuel Lanchares

Int. J. Control, 2022

Inference of Aggregate Hidden Markov Models With Continuous Observations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

On the Relation Between Information and Power in Stochastic Thermodynamic Engines.

[BibT_eX]

[DOI]

Rui Fu

IEEE Control. Syst. Lett., 2022

Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Toll Design for Routing Games With Stochastic Demands.

[BibT_eX]

[DOI]

Vijay Gupta

IEEE Control. Syst. Lett., 2022

Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators.

[BibT_eX]

[DOI]

Joseph Moyalan

CoRR, 2022

Thermodynamic engine powered by anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Learning hidden Markov models from aggregate observations.

[BibT_eX]

[DOI]

Autom., 2022

A Proximal Algorithm for Sampling from Non-Smooth Potentials.

[BibT_eX]

[DOI]

Jiaming Liang

Proceedings of the Winter Simulation Conference, 2022

Sample-based Distributional Policy Gradient.

[BibT_eX]

[DOI]

Keuntaek Lee

Proceedings of the Learning for Dynamics and Control Conference, 2022

TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Performance, 2022

Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Path Integral Sampler: A Stochastic Control Approach For Sampling.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved analysis for a proximal algorithm for sampling.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Navigation with Probabilistic Safety Constraints: A Convex Formulation.

[BibT_eX]

[DOI]

Joseph Moyalan

Proceedings of the American Control Conference, 2022

On the complexity of the optimal transport problem with graph-structured cost.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Marginal Optimal Transport and Probabilistic Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Regularized Transport Between Singular Covariance Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

On Spectral Properties of Signed Laplacians With Connections to Eventual Positivity.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Li Qiu

IEEE Trans. Autom. Control., 2021

Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge.

[BibT_eX]

[DOI]

SIAM Rev., 2021

Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2021

Incremental Inference of Collective Graphical Models.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Optimal Steering of Ensembles With Origin-Destination Constraints.

[BibT_eX]

[DOI]

Isabel Haasler

Johan Karlsson

IEEE Control. Syst. Lett., 2021

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

CoRR, 2021

Covariance Steering for Nonlinear Control-affine Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Energy harvesting from anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2021

Stein particle filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Computation of Monge Maps with General Costs.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal steering to invariant distributions for networks flows.

[BibT_eX]

[DOI]

CoRR, 2021

Learning High Dimensional Wasserstein Geodesics.

[BibT_eX]

[DOI]

CoRR, 2021

Maximal power output of a stochastic thermodynamic engine.

[BibT_eX]

[DOI]

Autom., 2021

Optimal Transport in Systems and Control.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2021

Diffusion Normalizing Flow.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sum of Squares based Convex Approach for Optimal Control Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Fast and Asymptotic Steering to a Steady State for Networks Flows.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Convex Optimal Control Synthesis Under Safety Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Inference of collective Gaussian hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Efficient computations of multi-species mean field games via graph-structured optimal transport.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Relaxed Schrödinger Bridges and Robust Network Routing.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

Stochastic Control and Nonequilibrium Thermodynamics: Fundamental Limits.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Stability Theory of Stochastic Models in Opinion Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Filtering for Aggregate Hidden Markov Models with Continuous Observations.

[BibT_eX]

[DOI]

CoRR, 2020

A convex data-driven approach for nonlinear control synthesis.

[BibT_eX]

[DOI]

Hyungjin Choi

CoRR, 2020

Stochastic control liasons: Richard Sinkhorn meets Gaspard Monge on a Schroedinger bridge.

[BibT_eX]

[DOI]

CoRR, 2020

Inference with Aggregate Data: An Optimal Transport Approach.

[BibT_eX]

[DOI]

CoRR, 2020

A Linearized Alternating Direction Method of Multipliers for a Special Three-Block Nonconvex Optimization Problem of Background/Foreground Extraction.

[BibT_eX]

[DOI]

IEEE Access, 2020

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Robustness via Risk Averse Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Harvesting energy from a periodic heat bath.

[BibT_eX]

[DOI]

Rui Fu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Nonlinear Covariance Control via Differential Dynamic Programming.

[BibT_eX]

[DOI]

Zeji Yi

Zhefeng Cao

Evangelos A. Theodorou

Proceedings of the 2020 American Control Conference, 2020

Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach.

[BibT_eX]

[DOI]

Wassim M. Haddad

Manuel Lanchares

Proceedings of the 2020 American Control Conference, 2020

2019

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic Kernel Support Vector Machines.

[BibT_eX]

[DOI]

CoRR, 2019

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.

[BibT_eX]

[DOI]

CoRR, 2019

Optimal Transport for Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Access, 2019

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Multi-marginal Schrödinger Bridges.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Estimating ensemble flows on a hidden Markov chain.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Covariance steering in zero-sum linear-quadratic two-player differential games.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On optimal steering of a non-Markovian Gaussian process.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Sample Complexity for Nonlinear Stochastic Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Opinion Dynamics over Influence Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Regularization and Interpolation of Positive Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Matrix Optimal Mass Transport: A Quantum Mechanical Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Efficient Robust Routing for Single Commodity Network Flows.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution - Part III.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

Measure-Valued Spline Curves: An Optimal Transport Viewpoint.

[BibT_eX]

[DOI]

Giovanni Conforti

SIAM J. Math. Anal., 2018

Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2018

An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

J. Sci. Comput., 2018

Steering the Distribution of Agents in Mean-Field Games System.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2018

The Role of the Time-Arrow in Mean-Square Estimation of Stochastic Processes.

[BibT_eX]

[DOI]

Johan Karlsson

IEEE Control. Syst. Lett., 2018

State Tracking of Linear Ensembles via Optimal Mass Transport.

[BibT_eX]

[DOI]

Johan Karlsson

IEEE Control. Syst. Lett., 2018

Stochastic control and non-equilibrium thermodynamics: fundamental limits.

[BibT_eX]

[DOI]

CoRR, 2018

Steering the Distribution of Agents in Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Robust Transport Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Optimal Transport Over a Linear Dynamical System.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2017

Matricial Wasserstein-1 Distance.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2017

Steering the distribution of agents in mean-field and cooperative games.

[BibT_eX]

[DOI]

CoRR, 2017

Stability Theory in $\ell_1$ for Nonlinear Markov Chains and Stochastic Models for Opinion Dynamics over Influence Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part II.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Stochastic Bridges of Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Entropic and Displacement Interpolation: A Computational Approach Using the Hilbert Metric.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2016

On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2016

Transport Distance on Graphs and Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

CoRR, 2016

Some geometric ideas for feature enhancement of diffusion tensor fields.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A new approach to robust transportation over networks.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Characterizing the positive semidefiniteness of signed Laplacians via Effective Resistances.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

On the definiteness of graph Laplacians with negative weights: Geometrical and passivity-based approaches.

[BibT_eX]

[DOI]

Sei Zhen Khong

Proceedings of the 2016 American Control Conference, 2016

2015

Optimal Mass Transport over Bridges.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - Second International Conference, 2015

Optimal control of the state statistics for a linear stochastic system.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Steering state statistics with output feedback.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal steering of inertial particles diffusing anisotropically with losses.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Fast cooling for a system of stochastic oscillators.

[BibT_eX]

[DOI]

CoRR, 2014

Optimal steering of a linear stochastic system to a final probability distribution.

[BibT_eX]

[DOI]

CoRR, 2014

The flatness of power spectral zeros and their significance in quadratic estimation.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

State covariances and the matrix completion problem.

[BibT_eX]

[DOI]

Mihailo R. Jovanovic