| 2026 | ACL | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2026 | SIGIR | DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents. | Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu |
| 2025 | CVPR | Animate and Sound an Image. | Xihua Wang, Ruihua Song, Chongxuan Li, Xin Cheng, Boyuan Li, Yihan Wu, Yuyue Wang, Hongteng Xu, Yunfeng Wang |
| 2025 | CVPR | Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers? | Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li |
| 2025 | ICCV | Concat-ID: Towards Universal Identity-Preserving Video Synthesis. | Yong Zhong, Zhuoyi Yang, Jiayan Teng, Xiaotao Gu, Chongxuan Li |
| 2025 | ICLR | Improving Long-Text Alignment for Text-to-Image Diffusion Models. | Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu |
| 2025 | ICLR | Scaling up Masked Diffusion Models on Text. | Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li |
| 2025 | ICLR | 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 |
| 2025 | ICML | A Theory for Conditional Generative Modeling on Multiple Data Sources. | Rongzhen Wang, Yan Zhang, Chenyu Zheng, Chongxuan Li, Guoqiang Wu |
| 2025 | ICML | Effective and Efficient Masked Image Generation Models. | Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li |
| 2025 | ICML | RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers. | Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu |
| 2024 | DASFAA | HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | DASFAA | TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models. | Jialing Zhang, Chongxuan Li, Dequan Wang |
| 2024 | ECCV | Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. | Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang |
| 2024 | ECCV | PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control. | Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li |
| 2024 | ICASSP | Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN. | Guoxing Yang, Haoyu Lu, Chongxuan Li, Guang Zhou, Haoran Wu, Zhiwu Lu |
| 2024 | ICLR | BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. | Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng |
| 2024 | ICLR | 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 |
| 2024 | ICML | EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. | Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang |
| 2024 | ICML | 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 |
| 2023 | CVPR | All are Worth Words: A ViT Backbone for Diffusion Models. | Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu |
| 2023 | ICLR | Equivariant Energy-Guided SDE for Inverse Molecular Design. | Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu |
| 2023 | ICLR | 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 |
| 2023 | ICML | 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 |
| 2023 | ICML | 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 |
| 2023 | ICML | Towards Understanding Generalization of Macro-AUC in Multi-label Learning. | Guoqiang Wu, Chongxuan Li, Yilong Yin |
| 2023 | ICML | Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. | Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu |
| 2022 | ICLR | Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. | Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2022 | ICLR | 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 |
| 2022 | ICML | Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. | Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang |
| 2022 | ICML | 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 |
| 2022 | ICML | Fast Lossless Neural Compression with Integer-Only Discrete Flows. | Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2021 | CVPR | 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 |
| 2021 | ICLR | Implicit Normalizing Flows. | Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu |
| 2021 | ICLR | MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering. | Tsung Wei Tsai, Chongxuan Li, Jun Zhu |
| 2021 | ICML | 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 |
| 2020 | ICLR | To Relieve Your Headache of Training an MRF, Take AdVIL. | Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang |
| 2020 | ICML | Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. | Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2018 | AAAI | Collaborative Filtering With User-Item Co-Autoregressive Models. | Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang |
| 2018 | IJCAI | Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. | Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu |
| 2016 | ICML | Learning to Generate with Memory. | Chongxuan Li, Jun Zhu, Bo Zhang |