Yongxin Chen

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 202

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

IEEE Control. Syst. Lett.

Publications

Yongxin Chen, Wenhan Hou, Xin Zhang, Ru Li
Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations. CSCWD (2024)
Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li
CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning. ICASSP (2024)
Yongxin Chen
Identification of systemic financial risk based on complex network banking. DSAI (2024)
Endong Gu, Yongxin Chen, Hao Wen, Xingju Cai, Deren Han
Novel clustered federated learning based on local loss. CoRR (2024)
Saber Jafarpour, Yongxin Chen
Probabilistic Reachability of Stochastic Control Systems: A Contraction-Based Approach. CoRR (2024)
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
Toward effective protection against diffusion-based mimicry through score distillation. ICLR (2024)
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Stochastic thermodynamic engines under time-varying temperature profile. Autom. 159 (2024)
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR (2024)
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control. CoRR (2024)
Haotian Xue, Yongxin Chen
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think. CoRR (2024)
Yongxin Chen
Density Control of Interacting Agent Systems. IEEE Trans. Autom. Control. 69 (1) (2024)
Utkarsh A. Mishra, Yongxin Chen
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. ICRA (2024)
Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
A parallel framework for graphical optimal transport. CoRR (2024)
Jiaming Liang, Yongxin Chen
Proximal Oracles for Optimization and Sampling. CoRR (2024)
Wei Guo, Molei Tao, Yongxin Chen
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. CoRR (2024)
Utkarsh A. Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRR (2024)
Zhaodong Li, Jiajie Wu, Ze Quan, Delong Duan, Tian Zhang, Lichao Liu, Weiwei Wang, Yongxin Chen
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. Comput. Electron. Agric. 225 (2024)
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport. Math. Oper. Res. 49 (2) (2024)
Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song
Curriculum Learning for Ethereum Phishing Scam Detection. CSCWD (2024)
Yipu Chen, Haotian Xue, Yongxin Chen
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies. CoRR (2024)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS (2023)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization. IEEE Control. Syst. Lett. 7 (2023)
Bo Yuan, Qinsheng Zhang, Yongxin Chen
An Optimal Control Approach to Particle Filtering on Lie Groups. IEEE Control. Syst. Lett. 7 (2023)
Qinghua Lai, Zhe Zhang, Kanjun Zhang, Xianggen Yin, Yongxin Chen
Research on Pilot Protection for Tie Line of Renewable Energy Sources. IEEE Access 11 (2023)
Daniel Owusu Adu, Yongxin Chen
Stochastic Bridges Over Ensemble of Linear Systems. CDC (2023)
Rahul Singh, Yongxin Chen
Learning Gaussian Hidden Markov Models From Aggregate Data. IEEE Control. Syst. Lett. 7 (2023)
Jiaojiao Fan, Bo Yuan, Yongxin Chen
Improved dimension dependence of a proximal algorithm for sampling. COLT (2023)
Alexis M. H. Teter, Yongxin Chen, Abhishek Halder
On the Contraction Coefficient of the Schrödinger Bridge for Stochastic Linear Systems. IEEE Control. Syst. Lett. 7 (2023)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators. IEEE Robotics Autom. Lett. 8 (6) (2023)
Qinsheng Zhang, Yongxin Chen
Fast Sampling of Diffusion Models with Exponential Integrator. ICLR (2023)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Mean field type control with species dependent dynamics via structured tensor optimization. CoRR (2023)
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen
On a Class of Gibbs Sampling over Networks. COLT (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR (2023)
Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRL (2023)
Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen
Neural Monge Map estimation and its applications. Trans. Mach. Learn. Res. 2023 (2023)
Bo Yuan, Jiaojiao Fan, Yuqing Wang, Molei Tao, Yongxin Chen
Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective. IEEE Control. Syst. Lett. 7 (2023)
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
An optimal control approach to particle filtering. Autom. 151 (2023)
Yongxin Chen, Yong Guan, Zhenzhou Shao
Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning. RCAR (2023)
Qinsheng Zhang, Jiaming Song, Yongxin Chen
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR (2023)
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML (2023)
Alexis M. H. Teter, Yongxin Chen, Abhishek Halder
On the Contraction Coefficient of the Schrödinger Bridge for Stochastic Linear Systems. CoRR (2023)
Hongzhe Yu, Yongxin Chen
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms. CoRR (2023)
Rahul Singh, Yongxin Chen
Signed Graph Neural Networks: A Frequency Perspective. Trans. Mach. Learn. Res. 2023 (2023)
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Control and estimation of multi-commodity network flow under aggregation. CoRR (2023)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-driven optimal control under safety constraints using sparse Koopman approximation. ICRA (2023)
Jiaming Liang, Yongxin Chen
A Proximal Algorithm for Sampling. Trans. Mach. Learn. Res. 2023 (2023)
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
Toward effective protection against diffusion based mimicry through score distillation. CoRR (2023)
Utkarsh A. Mishra, Yongxin Chen
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. CoRR (2023)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR (2023)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-driven optimal control under safety constraints using sparse Koopman approximation. CoRR (2023)
Jiaojiao Fan, Bo Yuan, Jiaming Liang, Yongxin Chen
Nesterov Smoothing for Sampling Without Smoothness. CDC (2023)
Zhenyang Chen, Hongzhe Yu, Yongxin Chen
Efficient Belief Road Map for Planning Under Uncertainty. CoRR (2023)
Hongzhe Yu, Yongxin Chen
A Gaussian Variational Inference Approach to Motion Planning. IEEE Robotics Autom. Lett. 8 (5) (2023)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. ICLR (2023)
Zishun Liu, Yongxin Chen
Online Control for Linear Dynamics: A Data-Driven Approach. CoRR (2023)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Data-driven optimal control via linear transfer operators: A convex approach. Autom. 150 (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR (2023)
Qinsheng Zhang, Yongxin Chen
Fast Sampling of Diffusion Models with Exponential Integrator. CoRR (2022)
Jiaming Liang, Yongxin Chen
A Proximal Algorithm for Sampling. CoRR (2022)
Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen
On the complexity of the optimal transport problem with graph-structured cost. AISTATS (2022)
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. IEEE Trans. Autom. Control. 67 (9) (2022)
Hongzhe Yu, Yongxin Chen
A Gaussian variational inference approach to motion planning. CoRR (2022)
Jiaming Liang, Yongxin Chen
A Proximal Algorithm for Sampling from Non-Smooth Potentials. WSC (2022)
Fariba Ariaei, Zahra Askarzadeh, Yongxin Chen, Tryphon T. Georgiou
Macroscopic Network Circulation for Planar Graphs. IEEE Trans. Control. Netw. Syst. 9 (4) (2022)
Qinsheng Zhang, Yongxin Chen
Path Integral Sampler: A Stochastic Control Approach For Sampling. ICLR (2022)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators. CoRR (2022)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Data-Driven Optimal Control via Linear Transfer Operators: A Convex Approach. CoRR (2022)
Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono
Improved analysis for a proximal algorithm for sampling. COLT (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Thermodynamic engine powered by anisotropic fluctuations. CoRR (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations. CoRR (2022)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Navigation with Probabilistic Safety Constraints: A Convex Formulation. ACC (2022)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. CoRR (2022)
Jian Deng, Mingyue Li, Yongxin Chen, Zhenzhou Shao, Ying Qu, Yong Guan, Jun Zhang, Zhiping Shi
Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection. ICPR (2022)
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
The Most Likely Evolution of Diffusing and Vanishing Particles: Schrödinger Bridges with Unbalanced Marginals. SIAM J. Control. Optim. 60 (4) (2022)
Rahul Singh, Yongxin Chen
Signed Graph Neural Networks: A Frequency Perspective. CoRR (2022)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. IEEE Control. Syst. Lett. 6 (2022)
Wassim M. Haddad, Manuel Lanchares, Yongxin Chen
and entropy covariance control: a convex optimisation approach. Int. J. Control 95 (4) (2022)
Yongxin Chen, Yongjun Wang, Lumming Yang, Yuchuan Luo, Mantun Chen
TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack. IPCCC (2022)
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Learning hidden Markov models from aggregate observations. Autom. 137 (2022)
Mantun Chen, Yongxin Chen, Yongjun Wang, Peidai Xie, Shaojing Fu, Xiatian Zhu
End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective. CoRR (2022)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints. IEEE Control. Syst. Lett. 6 (2022)
Qinsheng Zhang, Rahul Singh, Yongxin Chen
Inference of Aggregate Hidden Markov Models With Continuous Observations. IEEE Control. Syst. Lett. 6 (2022)
Jiaming Liang, Yongxin Chen
A Proximal Algorithm for Sampling from Non-convex Potentials. CoRR (2022)
Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
On the Relation Between Information and Power in Stochastic Thermodynamic Engines. IEEE Control. Syst. Lett. 6 (2022)
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
Variational Wasserstein gradient flow. ICML (2022)
Yongxin Chen, Vijay Gupta
Toll Design for Routing Games With Stochastic Demands. IEEE Control. Syst. Lett. 6 (2022)
Rahul Singh, Keuntaek Lee, Yongxin Chen
Sample-based Distributional Policy Gradient. L4DC (2022)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Sum of Squares based Convex Approach for Optimal Control Synthesis. MED (2021)
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Incremental Inference of Collective Graphical Models. IEEE Control. Syst. Lett. 5 (2) (2021)
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
Learning High Dimensional Wasserstein Geodesics. CoRR (2021)
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Optimal steering to invariant distributions for networks flows. CoRR (2021)
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Fast and Asymptotic Steering to a Steady State for Networks Flows. GSI (2021)
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Optimal Transport in Systems and Control. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Harvesting energy from a periodic heat bath. CoRR (2021)
Yongxin Chen
Covariance Steering for Nonlinear Control-affine Systems. CoRR (2021)
Valentina Ciccone, Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Regularized Transport Between Singular Covariance Matrices. IEEE Trans. Autom. Control. 66 (7) (2021)
Yongxin Chen
Density control of interacting agent systems. CoRR (2021)
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Variational Wasserstein gradient flow. CoRR (2021)
Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
Energy harvesting from anisotropic fluctuations. CoRR (2021)
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Stein particle filtering. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongxin Chen