Yongxin Chen

137 papers A* 23A 2B 1C 6Misc 4Journal 94Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Absolute value inequalities.
Optim. Lett.
Yongxin Chen, Deren Han
2026 J jnl
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation.
CoRR
Bo Yuan, Zelin Zhao, Petr Molodyk, Bin Hu, Yongxin Chen
2026 J jnl
Compositional Diffusion with Guided Search for Long-Horizon Planning.
CoRR
Utkarsh A. Mishra, David He, Yongxin Chen, Danfei Xu
2026 J jnl
Compositional Visual Planning via Inference-Time Diffusion Scaling.
CoRR
Yixin Zhang, Yunhao Luo, Utkarsh Aashu Mishra, Woo Chul Shin, Yongxin Chen, Danfei Xu
2026 J jnl
Discrete Adjoint Schrödinger Bridge Sampler.
CoRR
Wei Guo, Yuchen Zhu, Xiaochen Du, Juno Nam, Yongxin Chen, Rafael Gómez-Bombarelli, Guan-Horng Liu, Molei Tao, Jaemoo Choi
2026 J jnl
Efficient iterative proximal variational inference motion planning.
Robotics Auton. Syst.
Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen
2026 J jnl
LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models.
CoRR
Shufan Li, Yuchen Zhu, Jiuxiang Gu, Kangning Liu, Zhe Lin, Yongxin Chen, Molei Tao, Aditya Grover, Jason Kuen
2026 J jnl
Laplacian Multi-scale Flow Matching for Generative Modeling.
CoRR
Zelin Zhao, Petr Molodyk, Haotian Xue, Yongxin Chen
2026 J jnl
Path Integral Particle Filtering for Hybrid Systems via Saltation Matrices.
CoRR
Karthik Shaji, Sreeranj Jayadevan, Bo Yuan, Hongzhe Yu, Yongxin Chen
2026 J jnl
Proximal Oracles for Optimization and Sampling.
J. Optim. Theory Appl.
Jiaming Liang, Yongxin Chen
2026 J jnl
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning.
CoRR
Zhaoyuan Gu, Yipu Chen, Zimeng Chai, Alfred Cueva, Thong Nguyen, Yifan Wu, Huishu Xue, Minji Kim, Isaac Legene, Fukang Liu, Matthew Kim, Ayan Barula, Yongxin Chen, Ye Zhao
2026 J jnl
Research on the impact of tandem transport process on distribution performance of air-assisted centralized seed metering device based on numerical simulation.
Comput. Electron. Agric.
Jiajie Wu, Bingqian Hu, Jin Wang, Shun Zhang, Yongxin Chen, Longzhe Quan, Zhaodong Li
2026 J jnl
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design.
CoRR
Jaemoo Choi, Yuchen Zhu, Wei Guo, Petr Molodyk, Bo Yuan, Jinbin Bai, Yi Xin, Molei Tao, Yongxin Chen
2026 J jnl
Revisit Iterative Complexity of Some Projection-type Methods for Monotone Linear Variational Inequality Problems.
J. Optim. Theory Appl.
Yongxin Chen, Xingju Cai, Deren Han
2026 A* conf
S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems.
AAAI
Maoran Wang, Xingju Cai, Yongxin Chen
2026 J jnl
Semiphenomenological Modeling and Control for a Sheet PVDF Actuator With Nonlinear Hysteresis Effects.
IEEE Trans. Ind. Electron.
Yongxin Chen, Qingxin Meng, Yawu Wang, Chun-Yi Su
2026 J jnl
TiMoS-Net: a multi-temporal image and morphological spatial feature fusion network for predicting neoadjuvant chemotherapy response in breast cancer.
Biomed. Signal Process. Control.
Chen Jin, Siyi Chen, Haixin Shen, Wenjie Tang, Yongxin Chen, Jie Xiao, Yuan Guo, Qianwei Zhou
2026 J jnl
TimeRouter: A unified dynamic routing framework for handling missing data in time series forecasting.
Knowl. Based Syst.
Qiang Hua, Yongxin Chen, Chunru Dong, Yong Zhang, Lei Xu
2025 J jnl
Adjoint Schrödinger Bridge Sampler.
CoRR
Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen
2025 A* conf
Articulated Kinematics Distillation from Video Diffusion Models.
CVPR
Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025 J jnl
Articulated Kinematics Distillation from Video Diffusion Models.
CoRR
Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025 J jnl
CETCAM: Camera-Controllable Video Generation via Consistent and Extensible Tokenization.
CoRR
Zelin Zhao, Xinyu Gong, Bangya Liu, Ziyang Song, Jun Zhang, Suhui Wu, Yongxin Chen, Hao Zhang
2025 J jnl
Client-only Distributed Markov Chain Monte Carlo Sampling over a Network.
Trans. Mach. Learn. Res.
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen
2025 J jnl
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond.
CoRR
Wei Guo, Molei Tao, Yongxin Chen
2025 J jnl
Cosmos World Foundation Model Platform for Physical AI.
CoRR
Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025 A conf
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge.
INTERSPEECH
Zhaoyang Li, Haodong Zhou, Longjie Luo, Xiaoxiao Li, Yongxin Chen, Lin Li, Qingyang Hong
2025 J jnl
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge.
CoRR
Zhaoyang Li, Haodong Zhou, Longjie Luo, Xiaoxiao Li, Yongxin Chen, Lin Li, Qingyang Hong
2025 J jnl
Data-driven adversarial online control for unknown linear systems.
Syst. Control. Lett.
Zishun Liu, Yongxin Chen
2025 J jnl
Design and parameter optimization of air-delivery auxiliary seed guide for pneumatic plate precision rapeseed metering device.
Comput. Electron. Agric.
Zhaodong Li, Heng Zhang, Jialuo Huang, Chao Lou, Yongxin Chen, Lichao Liu, Tian Zhang, Liqing Chen
2025 A* conf
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
ICML
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
CoRR
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization.
CoRR
Yuchen Zhu, Wei Guo, Jaemoo Choi, Petr Molodyk, Bo Yuan, Molei Tao, Yongxin Chen
2025 J jnl
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms.
CoRR
Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying
2025 J jnl
Flexible Operator Splitting Methods for Solving Absolute Value Equations.
J. Sci. Comput.
Yongxin Chen, Deren Han
2025 — conf
Flow matching for stochastic linear control systems.
L4DC
Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen
2025 A* conf
Improving Neural Optimal Transport via Displacement Interpolation.
ICLR
Jaemoo Choi, Yongxin Chen, Jaewoong Choi
2025 J jnl
Joint Model-based Model-free Diffusion for Planning with Constraints.
CoRR
Wonsuhk Jung, Utkarsh A. Mishra, Nadun Ranawaka Arachchige, Yongxin Chen, Danfei Xu, Shreyas Kousik
2025 J jnl
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control.
CoRR
Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao
2025 J jnl
MFM-point: Multi-scale Flow Matching for Point Cloud Generation.
CoRR
Petr Molodyk, Jaemoo Choi, David W. Romero, Ming-Yu Liu, Yongxin Chen
2025 A* conf
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
ICLR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training.
CoRR
Haotian Xue, Qi Chen, Zhonghao Wang, Xun Huang, Eli Shechtman, Jinrong Xie, Yongxin Chen
2025 J jnl
Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems.
CoRR
Zishun Liu, Liqian Ma, Yongxin Chen
2025 J jnl
Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control.
CoRR
Zhuoyuan Wang, Takashi Tanaka, Yongxin Chen, Yorie Nakahira
2025 J jnl
Non-equilibrium Annealed Adjoint Sampler.
CoRR
Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu
2025 J jnl
Optimizing seed filling performance of the double-filling air suction maize and soybean seed metering device based on DEM-CFD coupling method.
Comput. Electron. Agric.
Weiwei Wang, Lanzhou Song, Xue An, Longzhe Quan, Dongbo Xie, Yongxin Chen, Zhaodong Li, Zhenchao Wu, Liqing Chen
2025 J jnl
Path integral control of partially observed systems via fully observable control approximations.
Syst. Control. Lett.
Kenta Hoshino, Hongzhe Yu, Takashi Tanaka, Yongxin Chen
2025 J jnl
Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding.
CoRR
Haotian Xue, Yunhao Ge, Yu Zeng, Zhaoshuo Li, Ming-Yu Liu, Yongxin Chen, Jiaojiao Fan
2025 A* conf
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling.
ICLR
Wei Guo, Molei Tao, Yongxin Chen
2025 J jnl
Proximal Diffusion Neural Sampler.
CoRR
Wei Guo, Jaemoo Choi, Yuchen Zhu, Molei Tao, Yongxin Chen
2025 A conf
Proximal Sampler with Adaptive Step Size.
AISTATS
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen
2025 J jnl
Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications.
CoRR
Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen
2025 J jnl
TSFF: A Triple-Stream Feature Fusion Method for Ethereum Phishing Scam Detection.
IEEE Internet Things J.
Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song
2025 — conf
Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion.
CDC
Zishun Liu, Liqian Ma, Yongxin Chen
2025 J jnl
Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion.
CoRR
Zishun Liu, Liqian Ma, Yongxin Chen
2024 J jnl
Accelerating Gaussian Variational Inference for Motion Planning Under Uncertainty.
CoRR
Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen
2024 Misc conf
CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning.
ICASSP
Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li
2024 C conf
Curriculum Learning for Ethereum Phishing Scam Detection.
CSCWD
Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song
2024 A* conf
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies.
NeurIPS
Yipu Chen, Haotian Xue, Yongxin Chen
2024 J jnl
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies.
CoRR
Yipu Chen, Haotian Xue, Yongxin Chen
2024 C conf
Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations.
CSCWD
Yongxin Chen, Wenhan Hou, Xin Zhang, Ru Li
2024 Misc conf
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph.
CoRL
Utkarsh Aashu Mishra, Yongxin Chen, Danfei Xu
2024 J jnl
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph.
CoRR
Utkarsh A. Mishra, Yongxin Chen, Danfei Xu
2024 J jnl
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.
CoRR
Utkarsh A. Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
2024 J jnl
Improving Neural Optimal Transport via Displacement Interpolation.
CoRR
Jaemoo Choi, Yongxin Chen, Jaewoong Choi
2024 J jnl
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
CoRR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2024 J jnl
Novel clustered federated learning based on local loss.
CoRR
Endong Gu, Yongxin Chen, Hao Wen, Xingju Cai, Deren Han
2024 J jnl
Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions.
CoRR
Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen
2024 J jnl
Path Integral Control for Hybrid Dynamical Systems.
CoRR
Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen
2024 J jnl
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think.
CoRR
Haotian Xue, Yongxin Chen
2024 J jnl
Plug-and-Play Controllable Generation for Discrete Masked Models.
CoRR
Wei Guo, Yuchen Zhu, Molei Tao, Yongxin Chen
2024 J jnl
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling.
CoRR
Wei Guo, Molei Tao, Yongxin Chen
2024 J jnl
Proximal Oracles for Optimization and Sampling.
CoRR
Jiaming Liang, Yongxin Chen
2024 A* conf
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.
NeurIPS
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
2024 J jnl
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.
CoRR
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
2024 A* conf
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.
NeurIPS
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
2024 J jnl
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.
CoRR
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
2024 A* conf
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation.
ICRA
Utkarsh A. Mishra, Yongxin Chen
2024 J jnl
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.
Zhaodong Li, Jiajie Wu, Ze Quan, Delong Duan, Tian Zhang, Lichao Liu, Weiwei Wang, Yongxin Chen
2024 A* conf
Toward effective protection against diffusion-based mimicry through score distillation.
ICLR
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
2024 — conf
Weakly Aligned Multi-spectral Pedestrian Detection via Cross-Modality Differential Enhancement and Multi-scale Spatial Alignment.
ICPR (30)
Zhenzhou Shao, Yongxin Chen, Yibo Zou, Jie Zhang, Yong Guan
2023 J jnl
A Proximal Algorithm for Sampling.
Trans. Mach. Learn. Res.
Jiaming Liang, Yongxin Chen
2023 J jnl
An optimal control approach to particle filtering.
Autom.
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2023 A* conf
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CVPR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 J jnl
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CoRR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 A* conf
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability.
NeurIPS
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
2023 J jnl
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability.
CoRR
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
2023 J jnl
Efficient Belief Road Map for Planning Under Uncertainty.
CoRR
Zhenyang Chen, Hongzhe Yu, Yongxin Chen
2023 A* conf
Fast Sampling of Diffusion Models with Exponential Integrator.
ICLR
Qinsheng Zhang, Yongxin Chen
2023 Misc conf
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.
CoRL
Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
2023 J jnl
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling.
CoRR
Qinsheng Zhang, Jiaming Song, Yongxin Chen
2023 A* conf
Improved dimension dependence of a proximal algorithm for sampling.
COLT
Jiaojiao Fan, Bo Yuan, Yongxin Chen
2023 A* conf
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.
ICML
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
2023 — conf
Nesterov Smoothing for Sampling Without Smoothness.
CDC
Jiaojiao Fan, Bo Yuan, Jiaming Liang, Yongxin Chen
2023 J jnl
Neural Monge Map estimation and its applications.
Trans. Mach. Learn. Res.
Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen
2023 A* conf
On a Class of Gibbs Sampling over Networks.
COLT
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen
2023 J jnl
Online Control for Linear Dynamics: A Data-Driven Approach.
CoRR
Zishun Liu, Yongxin Chen
2023 — conf
Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning.
RCAR
Yongxin Chen, Yong Guan, Zhenzhou Shao
2023 J jnl
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation.
CoRR
Utkarsh A. Mishra, Yongxin Chen
2023 J jnl
Research on Pilot Protection for Tie Line of Renewable Energy Sources.
IEEE Access
Qinghua Lai, Zhe Zhang, Kanjun Zhang, Xianggen Yin, Yongxin Chen
2023 — conf
Stochastic Bridges Over Ensemble of Linear Systems.
CDC
Daniel Owusu Adu, Yongxin Chen
2023 J jnl
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms.
CoRR
Hongzhe Yu, Yongxin Chen
2023 C conf
TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting.
IPCCC
Yankun Wang, Yongjun Wang, Jun-Jie Huang, Yongxin Chen
2023 J jnl
Toward effective protection against diffusion based mimicry through score distillation.
CoRR
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
2023 A* conf
gDDIM: Generalized denoising diffusion implicit models.
ICLR
Qinsheng Zhang, Molei Tao, Yongxin Chen
2022 J jnl
A Gaussian variational inference approach to motion planning.
CoRR
Hongzhe Yu, Yongxin Chen
2022 Misc conf
A Proximal Algorithm for Sampling from Non-Smooth Potentials.
WSC
Jiaming Liang, Yongxin Chen
2022 J jnl
A Proximal Algorithm for Sampling.
CoRR
Jiaming Liang, Yongxin Chen
2022 B conf
Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection.
ICPR
Jian Deng, Mingyue Li, Yongxin Chen, Zhenzhou Shao, Ying Qu, Yong Guan, Jun Zhang, Zhiping Shi
2022 J jnl
Fast Sampling of Diffusion Models with Exponential Integrator.
CoRR
Qinsheng Zhang, Yongxin Chen
2022 A* conf
Improved analysis for a proximal algorithm for sampling.
COLT
Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono
2022 J jnl
Mixed norm
Int. J. Control
Wassim M. Haddad, Manuel Lanchares, Yongxin Chen
2022 A* conf
Path Integral Sampler: A Stochastic Control Approach For Sampling.
ICLR
Qinsheng Zhang, Yongxin Chen
2022 C conf
TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack.
IPCCC
Yongxin Chen, Yongjun Wang, Lumming Yang, Yuchuan Luo, Mantun Chen
2022 A* conf
Variational Wasserstein gradient flow.
ICML
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2022 J jnl
gDDIM: Generalized denoising diffusion implicit models.
CoRR
Qinsheng Zhang, Molei Tao, Yongxin Chen
2021 J jnl
A Proximal Algorithm for Sampling from Non-smooth Potentials.
CoRR
Jiaming Liang, Yongxin Chen
2021 J jnl
An optimal control approach to particle filtering.
CoRR
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2021 J jnl
Covariance Steering for Nonlinear Control-affine Systems.
CoRR
Yongxin Chen
2021 J jnl
Density control of interacting agent systems.
CoRR
Yongxin Chen
2021 A* conf
Diffusion Normalizing Flow.
NeurIPS
Qinsheng Zhang, Yongxin Chen
2021 J jnl
Diffusion Normalizing Flow.
CoRR
Qinsheng Zhang, Yongxin Chen
2021 J jnl
Learning High Dimensional Wasserstein Geodesics.
CoRR
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
2021 J jnl
Path Integral Sampler: a stochastic control approach for sampling.
CoRR
Qinsheng Zhang, Yongxin Chen
2021 J jnl
Scalable Computation of Monge Maps with General Costs.
CoRR
Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou
2021 A* conf
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.
ICML
Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei
2021 J jnl
Stein particle filtering.
CoRR
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2021 J jnl
Variational Wasserstein gradient flow.
CoRR
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2020 J jnl
A Linearized Alternating Direction Method of Multipliers for a Special Three-Block Nonconvex Optimization Problem of Background/Foreground Extraction.
IEEE Access
Chun Zhang, Yanhong Yang, Zeyan Wang, Yongxin Chen
2020 C conf
Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach.
ACC
Wassim M. Haddad, Yongxin Chen, Manuel Lanchares
2020 C conf
Nonlinear Covariance Control via Differential Dynamic Programming.
ACC
Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen
2020 J jnl
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.
CoRR
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2019 — conf
A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model.
ICNC-FSKD
Yanli Wan, Quan Chen, Xingyun Lei, Yan Wang, Yongxin Chen, Hongpu Hu
2019 J jnl
Nonlinear Covariance Control via Differential Dynamic Programming.
CoRR
Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen
2018 J jnl
State tracking of linear ensembles via optimal mass transport.
CoRR
Yongxin Chen, Johan Karlsson
2018 J jnl
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications.
SIAM J. Sci. Comput.
Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2017 J jnl
Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response.
ISPRS Int. J. Geo Inf.
Xin Zhang, Yongxin Chen, Linjun Yu, Weisheng Wang, Qianyu Wu
2017 J jnl
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications.
CoRR
Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher