Chongxuan Li

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models ACL 2026 LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning CVPR 2026 Animate and Sound an Image CVPR 2025 Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers? CVPR 2025 A Theory for Conditional Generative Modeling on Multiple Data Sources ICML 2025 Effective and Efficient Masked Image Generation Models ICML 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models ICLR 2025 RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers ICML 2025 Scaling up Masked Diffusion Models on Text ICLR 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data ICLR 2025 BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference ICLR 2024 CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model ECCV 2024 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model NeurIPS 2024 Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models ECCV 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control ECCV 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing ICLR 2024 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 2024 All Are Worth Words: A ViT Backbone for Diffusion Models CVPR 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NeurIPS 2023 Equivariant Energy-Guided SDE for Inverse Molecular Design ICLR 2023 Gaussian Mixture Solvers for Diffusion Models NeurIPS 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation NeurIPS 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023 Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023 Toward Understanding Generative Data Augmentation NeurIPS 2023 Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models ICLR 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps NeurIPS 2022 EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations NeurIPS 2022 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models ICML 2022 Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022 Memory Replay with Data Compression for Continual Learning ICLR 2022 Implicit Normalizing Flows ICLR 2021 MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering ICLR 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021 Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NeurIPS 2021 Stability and Generalization of Bilevel Programming in Hyperparameter Optimization NeurIPS 2021 Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021 Bi-level Score Matching for Learning Energy-based Latent Variable Models NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020 Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory ICML 2020 Multi-objects Generation with Amortized Structural Regularization NeurIPS 2019 Graphical Generative Adversarial Networks NeurIPS 2018 Learning to Write Stylized Chinese Characters by Reading a Handful of Examples IJCAI 2018 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Triple Generative Adversarial Nets NeurIPS 2017 Learning to Generate with Memory ICML 2016 Max-Margin Deep Generative Models NeurIPS 2015