| 2026 | AAAI | S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems. | Maoran Wang, Xingju Cai, Yongxin Chen |
| 2025 | AISTATS | Proximal Sampler with Adaptive Step Size. | Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen |
| 2025 | CVPR | Articulated Kinematics Distillation from Video Diffusion Models. | Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang |
| 2025 | ICLR | Improving Neural Optimal Transport via Displacement Interpolation. | Jaemoo Choi, Yongxin Chen, Jaewoong Choi |
| 2025 | ICLR | Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. | Wei Guo, Molei Tao, Yongxin Chen |
| 2025 | ICLR | Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. | Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2025 | ICML | 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, Jun Zhu, Qinsheng Zhang |
| 2025 | Interspeech | 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 |
| 2024 | CoRL | Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. | Utkarsh Aashu Mishra, Yongxin Chen, Danfei Xu |
| 2024 | CSCWD | Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations. | Yongxin Chen, Wenhan Hou, Xin Zhang, Ru Li |
| 2024 | CSCWD | Curriculum Learning for Ethereum Phishing Scam Detection. | Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li, Wanshui Song |
| 2024 | ICASSP | CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning. | Wenhan Hou, Bo Cui, Yongxin Chen, Ru Li |
| 2024 | ICLR | Toward effective protection against diffusion-based mimicry through score distillation. | Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen |
| 2024 | ICPR | 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 |
| 2024 | ICRA | ReorientDiff: Diffusion Model based Reorientation for Object Manipulation. | Utkarsh A. Mishra, Yongxin Chen |
| 2024 | ICTAI | NNTailor: A Neural Network-Driven Fuzzer for DataBase Management Systems. | Shutao Chu, Yongjun Wang, Haoran Xu, Zhiyuan Jiang, Yongxin Chen |
| 2024 | VRST | iStrayPaws: Immersing in a Stray Animal's World through First-Person VR to Bridge Human-Animal Empathy. | Yao Xu, Ding Ding, Yongxin Chen, Zhuying Li, Xiangyu Xu |
| 2023 | COLT | Improved dimension dependence of a proximal algorithm for sampling. | Jiaojiao Fan, Bo Yuan, Yongxin Chen |
| 2023 | COLT | On a Class of Gibbs Sampling over Networks. | Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen |
| 2023 | CoRL | Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. | Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu |
| 2023 | CVPR | DiffCollage: Parallel Generation of Large Content with Diffusion Models. | Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu |
| 2023 | ICLR | Fast Sampling of Diffusion Models with Exponential Integrator. | Qinsheng Zhang, Yongxin Chen |
| 2023 | ICLR | gDDIM: Generalized denoising diffusion implicit models. | Qinsheng Zhang, Molei Tao, Yongxin Chen |
| 2023 | ICML | Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. | Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat |
| 2023 | IPCCC | TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting. | Yankun Wang, Yongjun Wang, Jun-Jie Huang, Yongxin Chen |
| 2023 | ICRA | Data-driven optimal control under safety constraints using sparse Koopman approximation. | Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen |
| 2022 | AISTATS | On the complexity of the optimal transport problem with graph-structured cost. | Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen |
| 2022 | COLT | Improved analysis for a proximal algorithm for sampling. | Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono |
| 2022 | ICLR | Path Integral Sampler: A Stochastic Control Approach For Sampling. | Qinsheng Zhang, Yongxin Chen |
| 2022 | ICML | Variational Wasserstein gradient flow. | Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen |
| 2022 | ICPR | Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection. | Jian Deng, Mingyue Li, Yongxin Chen, Zhenzhou Shao, Ying Qu, Yong Guan, Jun Zhang, Zhiping Shi |
| 2022 | IPCCC | TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack. | Yongxin Chen, Yongjun Wang, Lumming Yang, Yuchuan Luo, Mantun Chen |
| 2022 | WSC | A Proximal Algorithm for Sampling from Non-Smooth Potentials. | Jiaming Liang, Yongxin Chen |
| 2021 | ICML | Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. | Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei |
| 2020 | ICLR | Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. | Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang |
| 2019 | ACSSC | Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. | Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong |
| 2019 | ICNC | 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 |