Li, Chongxuan

69 publications

ICML 2025 A Theory for Conditional Generative Modeling on Multiple Data Sources Rongzhen Wang, Yan Zhang, Chenyu Zheng, Chongxuan Li, Guoqiang Wu

ICLRW 2025 A Theory for Conditional Generative Modeling on Multiple Data Sources Rongzhen Wang, Yan Zhang, Chenyu Zheng, Chongxuan Li, Guoqiang Wu

CVPR 2025 Animate and Sound an Image Xihua Wang, Ruihua Song, Chongxuan Li, Xin Cheng, Boyuan Li, Yihan Wu, Yuyue Wang, Hongteng Xu, Yunfeng Wang

CVPR 2025 Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers? Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li

ICML 2025 Effective and Efficient Masked Image Generation Models Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li

NeurIPS 2025 FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan Li

ICLR 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu

NeurIPS 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

ICLRW 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

NeurIPS 2025 Masked Diffusion Models as Energy Minimization Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li

TMLR 2025 On Memorization in Diffusion Models Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang

ICML 2025 RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu

NeurIPS 2025 Scaling Diffusion Transformers Efficiently via $\mu$P Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan Li

ICLR 2025 Scaling up Masked Diffusion Models on Text Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li

ICLR 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li

ICLR 2024 BayesDiff: Estimating Pixel-Wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng

ECCV 2024 CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu

ICML 2024 EquiPocket: An E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang

NeurIPS 2024 Graph Diffusion Policy Optimization Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Wei Chen

NeurIPS 2024 Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu

ECCV 2024 Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang

NeurIPS 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization Rongzhen Wang, Chenyu Zheng, Guoqiang Wu, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li

ECCV 2024 PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li

ECCVW 2024 Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models Jialing Zhang, Chongxuan Li, Dequan Wang

ICLR 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-Based Image Editing Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li

ICML 2024 Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu

ICML 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

ICLR 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-Trained Models Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li

NeurIPS 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

ICLR 2023 Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu

NeurIPS 2023 Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

ICMLW 2023 MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng

NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin

ICML 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

ICML 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu

NeurIPS 2023 Toward Understanding Generative Data Augmentation Chenyu Zheng, Guoqiang Wu, Chongxuan Li

ICML 2023 Towards Understanding Generalization of Macro-AUC in Multi-Label Learning Guoqiang Wu, Chongxuan Li, Yilong Yin

NeurIPSW 2022 All Are Worth Words: A ViT Backbone for Score-Based Diffusion Models Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu

ICLR 2022 Analytic-DPM: An Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

NeurIPS 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurIPS 2022 EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu

ICML 2022 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

ICML 2022 Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang

ICML 2022 Maximum Likelihood Training for Score-Based Diffusion ODEs by High Order Denoising Score Matching Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

ICLR 2022 Memory Replay with Data Compression for Continual Learning Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu

NeurIPSW 2022 Why Are Conditional Generative Models Better than Unconditional Ones? Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

ICLR 2021 Implicit Normalizing Flows Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu

ICLR 2021 MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Tsung Wei Tsai, Chongxuan Li, Jun Zhu

CVPR 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu

NeurIPS 2021 Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu

NeurIPS 2021 Stability and Generalization of Bilevel Programming in Hyperparameter Optimization Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang

ICML 2021 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

NeurIPS 2020 Bi-Level Score Matching for Learning Energy-Based Latent Variable Models Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

ECML-PKDD 2020 Learning Implicit Generative Models by Teaching Density Estimators Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang

ICLR 2020 To Relieve Your Headache of Training an MRF, Take AdVIL Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang

ICML 2020 Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

NeurIPSW 2020 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

NeurIPS 2019 Multi-Objects Generation with Amortized Structural Regularization Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang

AAAI 2018 Collaborative Filtering with User-Item Co-Autoregressive Models Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

NeurIPS 2018 Graphical Generative Adversarial Networks Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang

IJCAI 2018 Learning to Write Stylized Chinese Characters by Reading a Handful of Examples Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu

NeurIPS 2017 Population Matching Discrepancy and Applications in Deep Learning Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu

NeurIPS 2017 Triple Generative Adversarial Nets Chongxuan Li, Taufik Xu, Jun Zhu, Bo Zhang

ICML 2016 Learning to Generate with Memory Chongxuan Li, Jun Zhu, Bo Zhang

NeurIPS 2015 Max-Margin Deep Generative Models Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang