State covariances and the matrix completion problem. - Yongxin Chen; Mihailo R. Jovanovic; Tryphon T. Georgiou (CDC, 2013)

The flatness of power spectral zeros and their significance in quadratic estimation. - Yongxin Chen; Tryphon T. Georgiou (CDC, 2014)

Optimal steering of a linear stochastic system to a final probability distribution. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2014)

Fast cooling for a system of stochastic oscillators. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2014)

Optimal steering of inertial particles diffusing anisotropically with losses. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (ACC, 2015)

Steering state statistics with output feedback. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CDC, 2015)

Optimal control of the state statistics for a linear stochastic system. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CDC, 2015)

Optimal Mass Transport over Bridges. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (GSI, 2015)

On the definiteness of graph Laplacians with negative weights: Geometrical and passivity-based approaches. - Yongxin Chen; Sei Zhen Khong; Tryphon T. Georgiou (ACC, 2016)

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature. - Yongxin Chen; Jung Hun Oh; Romeil Sandhu; Sangkyu Lee; Joseph O. Deasy; Allen R. Tannenbaum (BIBM, 2016)

Characterizing the positive semidefiniteness of signed Laplacians via Effective Resistances. - Wei Chen 047; Ji Liu 001; Yongxin Chen; Sei Zhen Khong; Dan Wang 015; Tamer Basar; Li Qiu 001; Karl Henrik Johansson (CDC, 2016)

A new approach to robust transportation over networks. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon; Allen R. Tannenbaum (CDC, 2016)

Some geometric ideas for feature enhancement of diffusion tensor fields. - Hamza Farooq; Yongxin Chen; Tryphon T. Georgiou; Christophe Lenglet (CDC, 2016)

Transport Distance on Graphs and Vector-Valued Optimal Mass Transport. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (CoRR, 2016)

On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (J. Optim. Theory Appl., 2016)

Entropic and Displacement Interpolation: A Computational Approach Using the Hilbert Metric. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (SIAM J. Appl. Math., 2016)

Stochastic Bridges of Linear Systems. - Yongxin Chen; Tryphon T. Georgiou (IEEE Trans. Autom. Control., 2016)

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (IEEE Trans. Autom. Control., 2016)

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part II. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (IEEE Trans. Autom. Control., 2016)

Stability Theory in $ ell_1$ for Nonlinear Markov Chains and Stochastic Models for Opinion Dynamics over Influence Networks. - Zahra Askarzadeh; Rui Fu; Abhishek Halder; Yongxin Chen; Tryphon T. Georgiou (CoRR, 2017)

Steering the distribution of agents in mean-field and cooperative games. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2017)

Matricial Wasserstein-1 Distance. - Yongxin Chen; Tryphon T. Georgiou; Lipeng Ning; Allen R. Tannenbaum (IEEE Control. Syst. Lett., 2017)

Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response. - Xin Zhang 031; Yongxin Chen; Linjun Yu; Weisheng Wang; Qianyu Wu (ISPRS Int. J. Geo Inf., 2017)

Optimal Transport Over a Linear Dynamical System. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (IEEE Trans. Autom. Control., 2017)

Robust Transport Over Networks. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2017)

Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm. - Armin Zare; Yongxin Chen; Mihailo R. Jovanovic; Tryphon T. Georgiou (IEEE Trans. Autom. Control., 2017)

Steering the Distribution of Agents in Mean-Field Games. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CDC, 2018)

Stochastic control and non-equilibrium thermodynamics: fundamental limits. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (CoRR, 2018)

State Tracking of Linear Ensembles via Optimal Mass Transport. - Yongxin Chen; Johan Karlsson (IEEE Control. Syst. Lett., 2018)

The Role of the Time-Arrow in Mean-Square Estimation of Stochastic Processes. - Yongxin Chen; Johan Karlsson; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2018)

Steering the Distribution of Agents in Mean-Field Games System. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (J. Optim. Theory Appl., 2018)

An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport. - Yongxin Chen; Eldad Haber; Kaoru Yamamoto; Tryphon T. Georgiou; Allen R. Tannenbaum (J. Sci. Comput., 2018)

Vector-Valued Optimal Mass Transport. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (SIAM J. Appl. Math., 2018)

Measure-Valued Spline Curves: An Optimal Transport Viewpoint. - Yongxin Chen; Giovanni Conforti; Tryphon T. Georgiou (SIAM J. Math. Anal., 2018)

Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. - Ernest K. Ryu; Yongxin Chen; Wuchen Li; Stanley J. Osher (SIAM J. Sci. Comput., 2018)

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution - Part III. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (IEEE Trans. Autom. Control., 2018)

Efficient Robust Routing for Single Commodity Network Flows. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2018)

Matrix Optimal Mass Transport: A Quantum Mechanical Approach. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2018)

Regularization and Interpolation of Positive Matrices. - Kaoru Yamamoto; Yongxin Chen; Lipeng Ning; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2018)

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. - Songtao Lu; Rahul Singh 002; Xiangyi Chen; Yongxin Chen; Mingyi Hong 001 (ACSSC, 2019)

Opinion Dynamics over Influence Networks. - Zahra Askarzadeh; Rui Fu; Abhishek Halder; Yongxin Chen; Tryphon T. Georgiou (ACC, 2019)

Sample Complexity for Nonlinear Stochastic Dynamics. - Yongxin Chen; Umesh Vaidya (ACC, 2019)

On optimal steering of a non-Markovian Gaussian process. - Daniele Alpago; Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CDC, 2019)

Covariance steering in zero-sum linear-quadratic two-player differential games. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CDC, 2019)

Estimating ensemble flows on a hidden Markov chain. - Isabel Haasler; Axel Ringh; Yongxin Chen; Johan Karlsson (CDC, 2019)

Multi-marginal Schrödinger Bridges. - Yongxin Chen; Giovanni Conforti; Tryphon T. Georgiou; Luigia Ripani (GSI, 2019)

A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model. - Yanli Wan; Quan Chen; Xingyun Lei; Yan Wang; Yongxin Chen; Hongpu Hu (ICNC-FSKD, 2019)

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (NeurIPS, 2019)

Optimal Transport for Gaussian Mixture Models. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Access, 2019)

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator. - Qi Cai; Mingyi Hong 001; Yongxin Chen; Zhaoran Wang 001 (CoRR, 2019)

Probabilistic Kernel Support Vector Machines. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (CoRR, 2019)

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (CoRR, 2019)

Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach. - Wassim M. Haddad 001; Yongxin Chen; Manuel Lanchares (ACC, 2020)

Nonlinear Covariance Control via Differential Dynamic Programming. - Zeji Yi; Zhefeng Cao; Evangelos A. Theodorou; Yongxin Chen (ACC, 2020)

Harvesting energy from a periodic heat bath. - Rui Fu; Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (CDC, 2020)

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. - Zuyue Fu; Zhuoran Yang; Yongxin Chen; Zhaoran Wang 001 (ICLR, 2020)

Improving Robustness via Risk Averse Distributional Reinforcement Learning. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (L4DC, 2020)

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. - Yufeng Zhang 007; Qi Cai; Zhuoran Yang; Yongxin Chen; Zhaoran Wang 001 (NeurIPS, 2020)

A Linearized Alternating Direction Method of Multipliers for a Special Three-Block Nonconvex Optimization Problem of Background/Foreground Extraction. - Chun Zhang; Yanhong Yang; Zeyan Wang; Yongxin Chen (IEEE Access, 2020)

Inference with Aggregate Data: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2020)

Stochastic control liasons: Richard Sinkhorn meets Gaspard Monge on a Schroedinger bridge. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2020)

A convex data-driven approach for nonlinear control synthesis. - Hyungjin Choi; Umesh Vaidya; Yongxin Chen (CoRR, 2020)

Filtering for Aggregate Hidden Markov Models with Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (CoRR, 2020)

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. - Zhuoran Yang; Yufeng Zhang 007; Yongxin Chen; Zhaoran Wang 001 (CoRR, 2020)

Stability Theory of Stochastic Models in Opinion Dynamics. - Zahra Askarzadeh; Rui Fu; Abhishek Halder; Yongxin Chen; Tryphon T. Georgiou (IEEE Trans. Autom. Control., 2020)

Stochastic Control and Nonequilibrium Thermodynamics: Fundamental Limits. - Yongxin Chen; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2020)

Relaxed Schrödinger Bridges and Robust Network Routing. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon; Allen R. Tannenbaum (IEEE Trans. Control. Netw. Syst., 2020)

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications. - Songtao Lu; Ioannis C. Tsaknakis; Mingyi Hong 001; Yongxin Chen (IEEE Trans. Signal Process., 2020)

Efficient computations of multi-species mean field games via graph-structured optimal transport. - Axel Ringh; Isabel Haasler; Yongxin Chen; Johan Karlsson (CDC, 2021)

Inference of collective Gaussian hidden Markov models. - Rahul Singh 002; Yongxin Chen (CDC, 2021)

Convex Optimal Control Synthesis Under Safety Constraints. - Hongzhe Yu; Joseph Moyalan; Duvan Tellez-Castro; Umesh Vaidya; Yongxin Chen (CDC, 2021)

Fast and Asymptotic Steering to a Steady State for Networks Flows. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (GSI, 2021)

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. - Yongxin Chen; Jiaojiao Fan; Amirhossein Taghvaei (ICML, 2021)

Sum of Squares based Convex Approach for Optimal Control Synthesis. - Joseph Moyalan; Hyungjin Choi; Yongxin Chen; Umesh Vaidya (MED, 2021)

Diffusion Normalizing Flow. - Qinsheng Zhang; Yongxin Chen (NeurIPS, 2021)

Optimal Transport in Systems and Control. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (Annu. Rev. Control. Robotics Auton. Syst., 2021)

Maximal power output of a stochastic thermodynamic engine. - Rui Fu; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (Autom., 2021)

Learning High Dimensional Wasserstein Geodesics. - Shu Liu; Shaojun Ma; Yongxin Chen; Hongyuan Zha; Haomin Zhou 001 (CoRR, 2021)

Optimal steering to invariant distributions for networks flows. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2021)

Scalable Computation of Monge Maps with General Costs. - Jiaojiao Fan; Shu Liu; Shaojun Ma; Yongxin Chen; Haomin Zhou 001 (CoRR, 2021)

Stein particle filtering. - Jiaojiao Fan; Amirhossein Taghvaei; Yongxin Chen (CoRR, 2021)

Energy harvesting from anisotropic fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Rui Fu; Yongxin Chen; Tryphon T. Georgiou (CoRR, 2021)

Covariance Steering for Nonlinear Control-affine Systems. - Yongxin Chen (CoRR, 2021)

Variational Wasserstein gradient flow. - Jiaojiao Fan; Amirhossein Taghvaei; Yongxin Chen (CoRR, 2021)

Optimal Steering of Ensembles With Origin-Destination Constraints. - Isabel Haasler; Yongxin Chen; Johan Karlsson (IEEE Control. Syst. Lett., 2021)

Incremental Inference of Collective Graphical Models. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Control. Syst. Lett., 2021)

Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem. - Isabel Haasler; Axel Ringh; Yongxin Chen; Johan Karlsson (SIAM J. Control. Optim., 2021)

Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (SIAM Rev., 2021)

On Spectral Properties of Signed Laplacians With Connections to Eventual Positivity. - Wei Chen 047; Dan Wang 015; Ji Liu 001; Yongxin Chen; Sei Zhen Khong; Tamer Basar; Karl Henrik Johansson; Li Qiu 001 (IEEE Trans. Autom. Control., 2021)

Regularized Transport Between Singular Covariance Matrices. - Valentina Ciccone; Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (IEEE Trans. Autom. Control., 2021)

Multi-Marginal Optimal Transport and Probabilistic Graphical Models. - Isabel Haasler; Rahul Singh 002; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Inf. Theory, 2021)

On the complexity of the optimal transport problem with graph-structured cost. - Jiaojiao Fan; Isabel Haasler; Johan Karlsson; Yongxin Chen (AISTATS, 2022)

Navigation with Probabilistic Safety Constraints: A Convex Formulation. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (ACC, 2022)

Improved analysis for a proximal algorithm for sampling. - Yongxin Chen; Sinho Chewi; Adil Salim; Andre Wibisono (COLT, 2022)

Path Integral Sampler: A Stochastic Control Approach For Sampling. - Qinsheng Zhang; Yongxin Chen (ICLR, 2022)

Variational Wasserstein gradient flow. - Jiaojiao Fan; Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (ICML, 2022)

Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection. - Jian Deng; Mingyue Li; Yongxin Chen; Zhenzhou Shao; Ying Qu 001; Yong Guan; Jun Zhang 031; Zhiping Shi 002 (ICPR, 2022)

TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack. - Yongxin Chen; Yongjun Wang; Lumming Yang; Yuchuan Luo; Mantun Chen (IPCCC, 2022)

Sample-based Distributional Policy Gradient. - Rahul Singh 002; Keuntaek Lee; Yongxin Chen (L4DC, 2022)

A Proximal Algorithm for Sampling from Non-Smooth Potentials. - Jiaming Liang; Yongxin Chen (WSC, 2022)

Learning hidden Markov models from aggregate observations. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (Autom., 2022)

End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective. - Mantun Chen; Yongxin Chen; Yongjun Wang; Peidai Xie; Shaojing Fu; Xiatian Zhu (CoRR, 2022)

Thermodynamic engine powered by anisotropic fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (CoRR, 2022)

Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (CoRR, 2022)

Toll Design for Routing Games With Stochastic Demands. - Yongxin Chen; Vijay Gupta 001 (IEEE Control. Syst. Lett., 2022)

Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2022)

On the Relation Between Information and Power in Stochastic Thermodynamic Engines. - Amirhossein Taghvaei; Olga Movilla Miangolarra; Rui Fu; Yongxin Chen; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2022)

Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints. - Hongzhe Yu; Joseph Moyalan; Umesh Vaidya; Yongxin Chen (IEEE Control. Syst. Lett., 2022)

Inference of Aggregate Hidden Markov Models With Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (IEEE Control. Syst. Lett., 2022)

Mixed norm H2/H∞ and entropy covariance control: a convex optimisation approach. - Wassim M. Haddad 001; Manuel Lanchares; Yongxin Chen (Int. J. Control, 2022)

The Most Likely Evolution of Diffusing and Vanishing Particles: Schrödinger Bridges with Unbalanced Marginals. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (SIAM J. Control. Optim., 2022)

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Autom. Control., 2022)

Macroscopic Network Circulation for Planar Graphs. - Fariba Ariaei; Zahra Askarzadeh; Yongxin Chen; Tryphon T. Georgiou (IEEE Trans. Control. Netw. Syst., 2022)

Stochastic Bridges Over Ensemble of Linear Systems. - Daniel Owusu Adu; Yongxin Chen (CDC, 2023)

Nesterov Smoothing for Sampling Without Smoothness. - Jiaojiao Fan; Bo Yuan; Jiaming Liang; Yongxin Chen (CDC, 2023)

Improved dimension dependence of a proximal algorithm for sampling. - Jiaojiao Fan; Bo Yuan; Yongxin Chen (COLT, 2023)

On a Class of Gibbs Sampling over Networks. - Bo Yuan; Jiaojiao Fan; Jiaming Liang; Andre Wibisono; Yongxin Chen (COLT, 2023)

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. - Utkarsh Aashu Mishra; Shangjie Xue; Yongxin Chen; Danfei Xu (CoRL, 2023)

DiffCollage: Parallel Generation of Large Content with Diffusion Models. - Qinsheng Zhang; Jiaming Song; Xun Huang; Yongxin Chen; Ming-Yu Liu 001 (CVPR, 2023)

Fast Sampling of Diffusion Models with Exponential Integrator. - Qinsheng Zhang; Yongxin Chen (ICLR, 2023)

gDDIM: Generalized denoising diffusion implicit models. - Qinsheng Zhang; Molei Tao; Yongxin Chen (ICLR, 2023)

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. - Jiaming Song; Qinsheng Zhang; Hongxu Yin; Morteza Mardani; Ming-Yu Liu 001; Jan Kautz; Yongxin Chen; Arash Vahdat (ICML, 2023)

Data-driven optimal control under safety constraints using sparse Koopman approximation. - Hongzhe Yu; Joseph Moyalan; Umesh Vaidya; Yongxin Chen (ICRA, 2023)

TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting. - Yankun Wang; Yongjun Wang; Jun-Jie Huang; Yongxin Chen (IPCCC, 2023)

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. - Haotian Xue 002; Alexandre Araujo; Bin Hu 002; Yongxin Chen (NeurIPS, 2023)

Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning. - Yongxin Chen; Yong Guan; Zhenzhou Shao (RCAR, 2023)

Research on Pilot Protection for Tie Line of Renewable Energy Sources. - Qinghua Lai; Zhe Zhang 013; Kanjun Zhang; Xianggen Yin; Yongxin Chen (IEEE Access, 2023)

An optimal control approach to particle filtering. - Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (Autom., 2023)

Control and estimation of multi-commodity network flow under aggregation. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (CoRR, 2023)

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. - Qinsheng Zhang; Jiaming Song; Yongxin Chen (CoRR, 2023)

Online Control for Linear Dynamics: A Data-Driven Approach. - Zishun Liu; Yongxin Chen (CoRR, 2023)

Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms. - Hongzhe Yu; Yongxin Chen (CoRR, 2023)

Efficient Belief Road Map for Planning Under Uncertainty. - Zhenyang Chen; Hongzhe Yu; Yongxin Chen (CoRR, 2023)

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization. - Axel Ringh; Isabel Haasler; Yongxin Chen; Johan Karlsson (IEEE Control. Syst. Lett., 2023)

Learning Gaussian Hidden Markov Models From Aggregate Data. - Rahul Singh 002; Yongxin Chen (IEEE Control. Syst. Lett., 2023)

On the Contraction Coefficient of the Schrödinger Bridge for Stochastic Linear Systems. - Alexis M. H. Teter; Yongxin Chen; Abhishek Halder (IEEE Control. Syst. Lett., 2023)

Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective. - Bo Yuan 016; Jiaojiao Fan; Yuqing Wang; Molei Tao; Yongxin Chen (IEEE Control. Syst. Lett., 2023)

An Optimal Control Approach to Particle Filtering on Lie Groups. - Bo Yuan 016; Qinsheng Zhang; Yongxin Chen (IEEE Control. Syst. Lett., 2023)

Neural Monge Map estimation and its applications. - Jiaojiao Fan; Shu Liu; Shaojun Ma; Haomin Zhou 001; Yongxin Chen (Trans. Mach. Learn. Res., 2023)

A Proximal Algorithm for Sampling. - Jiaming Liang; Yongxin Chen (Trans. Mach. Learn. Res., 2023)

Signed Graph Neural Networks: A Frequency Perspective. - Rahul Singh 002; Yongxin Chen (Trans. Mach. Learn. Res., 2023)

Data-driven optimal control via linear transfer operators: A convex approach. - Joseph Moyalan; Hyungjin Choi; Yongxin Chen; Umesh Vaidya (Autom., 2023)

A Gaussian Variational Inference Approach to Motion Planning. - Hongzhe Yu; Yongxin Chen (IEEE Robotics Autom. Lett., 2023)

Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (IEEE Robotics Autom. Lett., 2023)

Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. - Utkarsh Aashu Mishra; Yongxin Chen; Danfei Xu (CoRL, 2024)

Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations. - Yongxin Chen; Wenhan Hou; Xin Zhang; Ru Li 004 (CSCWD, 2024)

Curriculum Learning for Ethereum Phishing Scam Detection. - Wenhan Hou; Bo Cui; Yongxin Chen; Ru Li 004; Wanshui Song (CSCWD, 2024)

Identification of systemic financial risk based on complex network banking. - Yongxin Chen (DSAI, 2024)

CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning. - Wenhan Hou; Bo Cui; Yongxin Chen; Ru Li 004 (ICASSP, 2024)

Toward effective protection against diffusion-based mimicry through score distillation. - Haotian Xue 002; Chumeng Liang; Xiaoyu Wu; Yongxin Chen (ICLR, 2024)

Weakly Aligned Multi-spectral Pedestrian Detection via Cross-Modality Differential Enhancement and Multi-scale Spatial Alignment. - Zhenzhou Shao; Yongxin Chen; Yibo Zou; Jie Zhang; Yong Guan (ICPR (30), 2024)

ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. - Utkarsh A. Mishra; Yongxin Chen (ICRA, 2024)

NNTailor: A Neural Network-Driven Fuzzer for DataBase Management Systems. - Shutao Chu; Yongjun Wang; Haoran Xu; Zhiyuan Jiang; Yongxin Chen (ICTAI, 2024)

Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies. - Yipu Chen; Haotian Xue 002; Yongxin Chen (NeurIPS, 2024)

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. - Jiaojiao Fan; Haotian Xue 002; Qinsheng Zhang; Yongxin Chen (NeurIPS, 2024)

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control. - Atharva Mete; Haotian Xue 002; Albert Wilcox; Yongxin Chen; Animesh Garg (NeurIPS, 2024)

iStrayPaws: Immersing in a Stray Animal's World through First-Person VR to Bridge Human-Animal Empathy. - Yao Xu; Ding Ding 002; Yongxin Chen; Zhuying Li; Xiangyu Xu 001 (VRST, 2024)

Research on the impact of wheat seed collisions on the distribution performance of an Air-Assisted centralized distribution device based on CFD-DEM numerical simulation. - Zhaodong Li; Jiajie Wu; Ze Quan; Delong Duan; Tian Zhang; Lichao Liu; Weiwei Wang; Yongxin Chen (Comput. Electron. Agric., 2024)

Proximal Oracles for Optimization and Sampling. - Jiaming Liang; Yongxin Chen (CoRR, 2024)

Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think. - Haotian Xue 002; Yongxin Chen (CoRR, 2024)

A parallel framework for graphical optimal transport. - Jiaojiao Fan; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2024)

Novel clustered federated learning based on local loss. - Endong Gu; Yongxin Chen; Hao Wen; Xingju Cai; Deren Han (CoRR, 2024)

Probabilistic Reachability of Stochastic Control Systems: A Contraction-Based Approach. - Saber Jafarpour; Yongxin Chen (CoRR, 2024)

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems. - Zishun Liu; Saber Jafarpour; Yongxin Chen (CoRR, 2024)

Plug-and-Play Controllable Generation for Discrete Masked Models. - Wei Guo; Yuchen Zhu; Molei Tao; Yongxin Chen (CoRR, 2024)

Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions. - Hongzhe Yu; Diana Frias Franco; Aaron M. Johnson 001; Yongxin Chen (CoRR, 2024)

Path Integral Control for Hybrid Dynamical Systems. - Hongzhe Yu; Diana Frias Franco; Aaron M. Johnson 001; Yongxin Chen (CoRR, 2024)

Accelerating Gaussian Variational Inference for Motion Planning Under Uncertainty. - Zinuo Chang; Hongzhe Yu; Patricio Vela; Yongxin Chen (CoRR, 2024)

Safety Verification of Stochastic Systems: A Set-Erosion Approach. - Zishun Liu; Saber Jafarpour; Yongxin Chen (IEEE Control. Syst. Lett., 2024)

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport. - Isabel Haasler; Axel Ringh; Yongxin Chen; Johan Karlsson (Math. Oper. Res., 2024)

Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games. - Axel Ringh; Isabel Haasler; Yongxin Chen; Johan Karlsson (SIAM J. Control. Optim., 2024)

Stochastic thermodynamic engines under time-varying temperature profile. - Rui Fu; Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (Autom., 2024)

Density Control of Interacting Agent Systems. - Yongxin Chen (IEEE Trans. Autom. Control., 2024)

Proximal Sampler with Adaptive Step Size. - Bo Yuan; Jiaojiao Fan; Jiaming Liang; Yongxin Chen (AISTATS, 2025)

Articulated Kinematics Distillation from Video Diffusion Models. - Xuan Li; Qianli Ma; Tsung-Yi Lin; Yongxin Chen; Chenfanfu Jiang; Ming-Yu Liu 001; Donglai Xiang (CVPR, 2025)

Improving Neural Optimal Transport via Displacement Interpolation. - Jaemoo Choi; Yongxin Chen; Jaewoong Choi (ICLR, 2025)

Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. - Wei Guo; Molei Tao; Yongxin Chen (ICLR, 2025)

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. - Kaiwen Zheng; Yongxin Chen; Hanzi Mao; Ming-Yu Liu 001; Jun Zhu 001; Qinsheng Zhang (ICLR, 2025)

Flow matching for stochastic linear control systems. - Yuhang Mei; Mohammad Al-Jarrah; Amirhossein Taghvaei; Yongxin Chen (L4DC, 2025)

Design and parameter optimization of air-delivery auxiliary seed guide for pneumatic plate precision rapeseed metering device. - Zhaodong Li; Heng Zhang; Jialuo Huang; Chao Lou; Yongxin Chen; Lichao Liu; Tian Zhang; Liqing Chen (Comput. Electron. Agric., 2025)

Optimizing seed filling performance of the double-filling air suction maize and soybean seed metering device based on DEM-CFD coupling method. - Weiwei Wang; Lanzhou Song; Xue An; Longzhe Quan; Dongbo Xie; Yongxin Chen; Zhaodong Li; Zhenchao Wu; Liqing Chen (Comput. Electron. Agric., 2025)

Verification of Stochastic Systems Under Signal Temporal Logic Specifications. - Liqian Ma; Zishun Liu; Hongzhe Yu; Yongxin Chen (IEEE Control. Syst. Lett., 2025)

TSFF: A Triple-Stream Feature Fusion Method for Ethereum Phishing Scam Detection. - Wenhan Hou; Bo Cui; Yongxin Chen; Ru Li 004; Wanshui Song (IEEE Internet Things J., 2025)

Path integral control of partially observed systems via fully observable control approximations. - Kenta Hoshino; Hongzhe Yu; Takashi Tanaka; Yongxin Chen (Syst. Control. Lett., 2025)

Optimal Survival Strategies for Diffusive Flows: A Schrödinger Bridge Approach to Unbalanced Transport. - Yongxin Chen; Tryphon T. Georgiou; Michele Pavon (SIAM Rev., 2025)

The Coseismic Ionospheric Disturbance During 2023 Turkey Double Earthquake Monitored by GNSS Observations. - Yongxin Chen; Keke Wang; Wei Li 250; Xiaoxia Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Client-only Distributed Markov Chain Monte Carlo Sampling over a Network. - Bo Yuan; Jiaojiao Fan; Jiaming Liang; Yongxin Chen (Trans. Mach. Learn. Res., 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms. - Yinuo Ren; Haoxuan Chen; Yuchen Zhu; Wei Guo; Yongxin Chen; Grant M. Rotskoff; Molei Tao; Lexing Ying (CoRR, 2025)

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond. - Wei Guo; Molei Tao; Yongxin Chen (CoRR, 2025)

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. - Kaiwen Zheng; Yongxin Chen; Huayu Chen; Guande He; Ming-Yu Liu 001; Jun Zhu 001; Qinsheng Zhang (CoRR, 2025)

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube. - Zishun Liu; Saber Jafarpour; Yongxin Chen (CoRR, 2025)

Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications. - Liqian Ma; Zishun Liu; Hongzhe Yu; Yongxin Chen (CoRR, 2025)

Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion. - Zishun Liu; Liqian Ma; Yongxin Chen (CoRR, 2025)

Flexible Operator Splitting Methods for Solving Absolute Value Equations. - Yongxin Chen; Deren Han (J. Sci. Comput., 2025)

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge. - Zhaoyang Li; Haodong Zhou; Longjie Luo; Xiaoxiao Li; Yongxin Chen; Lin Li; Qingyang Hong (CoRR, 2025)

Non-equilibrium Annealed Adjoint Sampler. - Jaemoo Choi; Yongxin Chen; Molei Tao; Guan-Horng Liu (CoRR, 2025)

Adjoint Schrödinger Bridge Sampler. - Guan-Horng Liu; Jaemoo Choi; Yongxin Chen; Benjamin Kurt Miller; Ricky T. Q. Chen (CoRR, 2025)

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control. - Yuchen Zhu; Wei Guo; Jaemoo Choi; Guan-Horng Liu; Yongxin Chen; Molei Tao (CoRR, 2025)