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ORCIDYongxin Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yongxin Chen 0001
![[0009-0002-6130-9450]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-6130-9450")
— National University of Defense Technology, Changsha, Hunan, China - Yongxin Chen 0002 — Georgia Institute of Technology, Atlanta, GA, USA
- Yongxin Chen 0003 — Lanzhou University of Technology, Lanzhou, China
- Yongxin Chen 0004 — Southeast University, Nanjing, China
- Yongxin Chen 0005 — China University of Geosciences, Wuhan, China
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2020 – today
- 2025
[j16]Zhaodong Li, Heng Zhang, Jialuo Huang, Chao Lou, Yongxin Chen, Lichao Liu, Tian Zhang, Liqing Chen:
Design and parameter optimization of air-delivery auxiliary seed guide for pneumatic plate precision rapeseed metering device. Comput. Electron. Agric. 230: 109840 (2025)- [j15]Weiwei Wang, Lanzhou Song, Xue An, Longzhe Quan, Dongbo Xie, Yongxin Chen, Zhaodong Li, Zhenchao Wu, Liqing Chen:
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. 237: 110586 (2025) - [j14]Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song:
TSFF: A Triple-Stream Feature Fusion Method for Ethereum Phishing Scam Detection. IEEE Internet Things J. 12(3): 2623-2632 (2025) - [j13]Yongxin Chen, Deren Han:
Flexible Operator Splitting Methods for Solving Absolute Value Equations. J. Sci. Comput. 103(1): 6 (2025) - [j12]Kenta Hoshino, Hongzhe Yu, Takashi Tanaka, Yongxin Chen:
Path integral control of partially observed systems via fully observable control approximations. Syst. Control. Lett. 204: 106185 (2025) - [j11]Zishun Liu, Yongxin Chen:
Data-driven adversarial online control for unknown linear systems. Syst. Control. Lett. 205: 106224 (2025) - [j10]Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen:
Client-only Distributed Markov Chain Monte Carlo Sampling over a Network. Trans. Mach. Learn. Res. 2025 (2025) - [c41]Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen:
Proximal Sampler with Adaptive Step Size. AISTATS 2025: 1387-1395 - [c40]Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang:
Articulated Kinematics Distillation from Video Diffusion Models. CVPR 2025: 17571-17581 - [c39]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. ICLR 2025 - [c38]Wei Guo, Molei Tao, Yongxin Chen:
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. ICLR 2025 - [c37]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. ICLR 2025 - [c36]Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. ICML 2025 - [c35]Zhaoyang Li, Haodong Zhou, Longjie Luo, XiaoXiao Li, Yongxin Chen, Lin Li, Qingyang Hong:
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge. INTERSPEECH 2025 - [c34]Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen:
Flow matching for stochastic linear control systems. L4DC 2025: 484-496 - [i59]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:
Cosmos World Foundation Model Platform for Physical AI. CoRR abs/2501.03575 (2025) - [i58]Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying:
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms. CoRR abs/2502.00234 (2025) - [i57]Wei Guo, Molei Tao, Yongxin Chen:
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond. CoRR abs/2502.04575 (2025) - [i56]Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. CoRR abs/2503.01103 (2025) - [i55]Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen:
Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications. CoRR abs/2503.04762 (2025) - [i54]Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang:
Articulated Kinematics Distillation from Video Diffusion Models. CoRR abs/2504.01204 (2025) - [i53]Zishun Liu, Liqian Ma, Yongxin Chen:
Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion. CoRR abs/2504.04705 (2025) - [i52]Zhaoyang Li, Haodong Zhou, Longjie Luo, Xiaoxiao Li, Yongxin Chen, Lin Li, Qingyang Hong:
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge. CoRR abs/2506.02621 (2025) - [i51]Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu:
Non-equilibrium Annealed Adjoint Sampler. CoRR abs/2506.18165 (2025) - [i50]Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen:
Adjoint Schrödinger Bridge Sampler. CoRR abs/2506.22565 (2025) - [i49]Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao:
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control. CoRR abs/2508.10684 (2025) - [i48]Wonsuhk Jung, Utkarsh A. Mishra, Nadun Ranawaka Arachchige, Yongxin Chen, Danfei Xu, Shreyas Kousik:
Joint Model-based Model-free Diffusion for Planning with Constraints. CoRR abs/2509.08775 (2025) - [i47]Zishun Liu, Liqian Ma, Yongxin Chen:
Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems. CoRR abs/2509.11584 (2025) - [i46]Haotian Xue, Yunhao Ge, Yu Zeng, Zhaoshuo Li, Ming-Yu Liu, Yongxin Chen, Jiaojiao Fan:
Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding. CoRR abs/2509.25794 (2025) - [i45]Wei Guo, Jaemoo Choi, Yuchen Zhu, Molei Tao, Yongxin Chen:
Proximal Diffusion Neural Sampler. CoRR abs/2510.03824 (2025) - [i44]Zhuoyuan Wang, Takashi Tanaka, Yongxin Chen, Yorie Nakahira:
Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control. CoRR abs/2510.07756 (2025) - [i43]Yuchen Zhu, Wei Guo, Jaemoo Choi, Petr Molodyk, Bo Yuan, Molei Tao, Yongxin Chen:
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization. CoRR abs/2510.08233 (2025) - [i42]Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao, Tianshi Cao, Elizabeth Cha, Yu-Wei Chao, Prithvijit Chattopadhyay, Mike Chen, Yongxin Chen, Yu Chen, Shuai Cheng, Yin Cui, Jenna Diamond, Yifan Ding, Jiaojiao Fan, Linxi Fan, Liang Feng, Francesco Ferroni, Sanja Fidler, Xiao Fu, Ruiyuan Gao, Yunhao Ge, Jinwei Gu, Aryaman Gupta, Siddharth Gururani, Imad El Hanafi, Ali Hassani, Zekun Hao, Jacob Huffman, Joel Jang, Pooya Jannaty, Jan Kautz, Grace Lam, Xuan Li, Zhaoshuo Li, Maosheng Liao, Chen-Hsuan Lin, Tsung-Yi Lin, Yen-Chen Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Seungjun Nah, Yashraj Narang, Abhijeet Panaskar, Lindsey Pavao, Trung Pham, Morteza Ramezanali, Fitsum Reda, Scott Reed, Xuanchi Ren, Haonan Shao, Yue Shen, Stella Shi, Shuran Song, Bartosz Stefaniak, Shangkun Sun, Shitao Tang, Sameena Tasmeen, Lyne Tchapmi, Wei-Cheng Tseng, Jibin Varghese, Andrew Z. Wang, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Jiashu Xu, Dinghao Yang, Xiaodong Yang, Haotian Ye, Seonghyeon Ye, Xiaohui Zeng, Jing Zhang, Qinsheng Zhang, Kaiwen Zheng, Andrew Zhu, Yuke Zhu:
World Simulation with Video Foundation Models for Physical AI. CoRR abs/2511.00062 (2025) - 2024
- [j9]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: 109241 (2024) - [c33]Utkarsh Aashu Mishra, Yongxin Chen, Danfei Xu:
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. CoRL 2024: 1461-1472 - [c32]Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song:
Curriculum Learning for Ethereum Phishing Scam Detection. CSCWD 2024: 1528-1533 - [c31]Yongxin Chen, Wenhan Hou, Xin Zhang, Ru Li:
Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations. CSCWD 2024: 2053-2058 - [c30]Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li:
CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning. ICASSP 2024: 4710-4714 - [c29]Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen:
Toward effective protection against diffusion-based mimicry through score distillation. ICLR 2024 - [c28]Zhenzhou Shao, Yongxin Chen, Yibo Zou, Jie Zhang, Yong Guan:
Weakly Aligned Multi-spectral Pedestrian Detection via Cross-Modality Differential Enhancement and Multi-scale Spatial Alignment. ICPR (30) 2024: 61-73 - [c27]Utkarsh A. Mishra, Yongxin Chen:
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. ICRA 2024: 10867-10873 - [c26]Yipu Chen, Haotian Xue, Yongxin Chen:
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies. NeurIPS 2024 - [c25]Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen:
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. NeurIPS 2024 - [c24]Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg:
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control. NeurIPS 2024 - [i41]Utkarsh A. Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRR abs/2401.03360 (2024) - [i40]Jiaming Liang, Yongxin Chen:
Proximal Oracles for Optimization and Sampling. CoRR abs/2404.02239 (2024) - [i39]Haotian Xue, Yongxin Chen:
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think. CoRR abs/2404.13320 (2024) - [i38]Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen:
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR abs/2405.17661 (2024) - [i37]Yipu Chen, Haotian Xue, Yongxin Chen:
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies. CoRR abs/2405.19424 (2024) - [i36]Endong Gu, Yongxin Chen, Hao Wen, Xingju Cai, Deren Han:
Novel clustered federated learning based on local loss. CoRR abs/2407.09360 (2024) - [i35]Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg:
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control. CoRR abs/2407.15840 (2024) - [i34]Wei Guo, Molei Tao, Yongxin Chen:
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. CoRR abs/2407.16936 (2024) - [i33]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. CoRR abs/2409.02908 (2024) - [i32]Utkarsh A. Mishra, Yongxin Chen, Danfei Xu:
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. CoRR abs/2409.16275 (2024) - [i31]Wei Guo, Yuchen Zhu, Molei Tao, Yongxin Chen:
Plug-and-Play Controllable Generation for Discrete Masked Models. CoRR abs/2410.02143 (2024) - [i30]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. CoRR abs/2410.03783 (2024) - [i29]Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen:
Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions. CoRR abs/2410.13222 (2024) - [i28]Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen:
Path Integral Control for Hybrid Dynamical Systems. CoRR abs/2411.00659 (2024) - [i27]Zinuo Chang, Hongzhe Yu, Patricio Vela, Yongxin Chen:
Accelerating Gaussian Variational Inference for Motion Planning Under Uncertainty. CoRR abs/2411.03416 (2024) - 2023
- [j8]Qinghua Lai, Zhe Zhang, Kanjun Zhang, Xianggen Yin, Yongxin Chen:
Research on Pilot Protection for Tie Line of Renewable Energy Sources. IEEE Access 11: 1613-1628 (2023) - [j7]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. Autom. 151: 110894 (2023) - [j6]Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen:
Neural Monge Map estimation and its applications. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Jiaming Liang, Yongxin Chen:
A Proximal Algorithm for Sampling. Trans. Mach. Learn. Res. 2023 (2023) - [c23]Daniel Owusu Adu, Yongxin Chen:
Stochastic Bridges Over Ensemble of Linear Systems. CDC 2023: 2803-2808 - [c22]Jiaojiao Fan, Bo Yuan, Jiaming Liang, Yongxin Chen:
Nesterov Smoothing for Sampling Without Smoothness. CDC 2023: 5313-5318 - [c21]Jiaojiao Fan, Bo Yuan, Yongxin Chen:
Improved dimension dependence of a proximal algorithm for sampling. COLT 2023: 1473-1521 - [c20]Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen:
On a Class of Gibbs Sampling over Networks. COLT 2023: 5754-5780 - [c19]Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRL 2023: 2905-2925 - [c18]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR 2023: 10188-10198 - [c17]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. ICLR 2023 - [c16]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. ICLR 2023 - [c15]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: 32483-32498 - [c14]Yankun Wang, Yongjun Wang, Jun-Jie Huang, Yongxin Chen:
TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting. IPCCC 2023: 99-108 - [c13]Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen:
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS 2023 - [c12]Yongxin Chen, Yong Guan, Zhenzhou Shao:
Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning. RCAR 2023: 829-834 - [i26]Utkarsh A. Mishra, Yongxin Chen:
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. CoRR abs/2303.12700 (2023) - [i25]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR abs/2303.17076 (2023) - [i24]Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen:
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR abs/2305.16494 (2023) - [i23]Qinsheng Zhang, Jiaming Song, Yongxin Chen:
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR abs/2308.02157 (2023) - [i22]Zishun Liu, Yongxin Chen:
Online Control for Linear Dynamics: A Data-Driven Approach. CoRR abs/2308.08138 (2023) - [i21]Hongzhe Yu, Yongxin Chen:
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms. CoRR abs/2308.14985 (2023) - [i20]Zhenyang Chen, Hongzhe Yu, Yongxin Chen:
Efficient Belief Road Map for Planning Under Uncertainty. CoRR abs/2309.09344 (2023) - [i19]Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen:
Toward effective protection against diffusion based mimicry through score distillation. CoRR abs/2311.12832 (2023) - 2022
- [j4]Wassim M. Haddad, Manuel Lanchares, Yongxin Chen:
Mixed norm H2/H∞ and entropy covariance control: a convex optimisation approach. Int. J. Control 95(4): 985-995 (2022) - [c11]Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono:
Improved analysis for a proximal algorithm for sampling. COLT 2022: 2984-3014 - [c10]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: A Stochastic Control Approach For Sampling. ICLR 2022 - [c9]Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. ICML 2022: 6185-6215 - [c8]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: 4864-4870 - [c7]Yongxin Chen, Yongjun Wang, Lumming Yang, Yuchuan Luo, Mantun Chen:
TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack. IPCCC 2022: 169-178 - [c6]Jiaming Liang, Yongxin Chen:
A Proximal Algorithm for Sampling from Non-Smooth Potentials. WSC 2022: 3229-3240 - [i18]Jiaming Liang, Yongxin Chen:
A Proximal Algorithm for Sampling. CoRR abs/2202.13975 (2022) - [i17]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. CoRR abs/2204.13902 (2022) - [i16]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. CoRR abs/2206.05564 (2022) - [i15]Hongzhe Yu, Yongxin Chen:
A Gaussian variational inference approach to motion planning. CoRR abs/2209.05655 (2022) - 2021
- [c5]Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei:
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. ICML 2021: 1571-1581 - [c4]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. NeurIPS 2021: 16280-16291 - [i14]Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. CoRR abs/2102.02992 (2021) - [i13]Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou:
Scalable Computation of Monge Maps with General Costs. CoRR abs/2106.03812 (2021) - [i12]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Stein particle filtering. CoRR abs/2106.10568 (2021) - [i11]Yongxin Chen:
Density control of interacting agent systems. CoRR abs/2108.07342 (2021) - [i10]Yongxin Chen:
Covariance Steering for Nonlinear Control-affine Systems. CoRR abs/2108.09530 (2021) - [i9]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. CoRR abs/2110.03199 (2021) - [i8]Jiaming Liang, Yongxin Chen:
A Proximal Algorithm for Sampling from Non-smooth Potentials. CoRR abs/2110.04597 (2021) - [i7]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. CoRR abs/2110.07579 (2021) - [i6]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: a stochastic control approach for sampling. CoRR abs/2111.15141 (2021) - [i5]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. CoRR abs/2112.02424 (2021) - 2020
- [j3]Chun Zhang, Yanhong Yang, Zeyan Wang, Yongxin Chen:
A Linearized Alternating Direction Method of Multipliers for a Special Three-Block Nonconvex Optimization Problem of Background/Foreground Extraction. IEEE Access 8: 198886-198899 (2020) - [c3]Wassim M. Haddad, Yongxin Chen, Manuel Lanchares:
Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach. ACC 2020: 755-760 - [c2]Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen:
Nonlinear Covariance Control via Differential Dynamic Programming. ACC 2020: 3571-3576 - [i4]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. CoRR abs/2007.04462 (2020)
2010 – 2019
- 2019
- [c1]Yanli Wan, Quan Chen, Xingyun Lei, Yan Wang, Yongxin Chen, Hongpu Hu:
A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model. ICNC-FSKD 2019: 753-763 - [i3]Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen:
Nonlinear Covariance Control via Differential Dynamic Programming. CoRR abs/1911.09283 (2019) - 2018
- [j2]Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher:
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. 40(5): A3675-A3698 (2018) - [i2]Yongxin Chen, Johan Karlsson:
State tracking of linear ensembles via optimal mass transport. CoRR abs/1803.02296 (2018) - 2017
- [j1]Xin Zhang, Yongxin Chen, Linjun Yu, Weisheng Wang, Qianyu Wu:
Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response. ISPRS Int. J. Geo Inf. 6(7): 214 (2017) - [i1]Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher:
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR abs/1712.10279 (2017)
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-12-12 01:20 CET by the dblp team
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