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Chongxuan Li

  1. Large Language Diffusion Models
    2025/02/14 by Shen Nie, Nie, Shen, Fengqi Zhu +17 · 19 voices · 270 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
  2. DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
    2022/06/02 by Cheng Lu, Cheng Lü, Lu, Cheng +11 · 1 voice · 317 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #cs.LG #stat.ML
  3. DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
    2022/11/02 by Cheng Lu, Lu, Cheng, Y. Zhou +9 · 157 citations
    Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
  4. All are Worth Words: A ViT Backbone for Diffusion Models
    2022/09/25 by Fan Bao, Bao, Fan, Nie, Shen +8 · 93 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  5. Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
    2024/06/06 by Jingyang Ou, Shen Nie, Ou, Jingyang +11 · 116 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption
  6. On Evaluating Adversarial Robustness of Large Vision-Language Models
    2023/05/26 by Yunqing Zhao, Tianyu Pang, Zhao, Yunqing +11 · 53 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  7. Scaling up Masked Diffusion Models on Text
    2024/10/24 by Shen Nie, Nie, Shen, Fengqi Zhu +12 · 65 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  8. CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
    2024/03/08 by Zhengyi Wang, Wang, Zhengyi, Yikai Wang +15 · 41 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
    2023/11/02 by Shen Nie, Hanzhong Allan Guo, Nie, Shen +10 · 1 voice · 15 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #cs.CV #cs.LG
  10. Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
    2022/01/17 by Fan Bao, Chongxuan Li, Bao, Fan +5 · 22 citations
    Computer Science · Social Sciences · #Bayesian Methods and Mixture Models #Computational and Text Analysis Methods #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  11. On Memorization in Diffusion Models
    2023/10/04 by Xiangming Gu, Gu, Xiangming, Chao‐Hai Du +9 · 29 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Music and Audio Processing
  12. Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
    2023/04/25 by Cheng Lu, Huayu Chen, Lu, Cheng +9 · 26 citations
    Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  13. One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
    2023/03/12 by Fan Bao, Bao, Fan, Shen Nie +17 · 21 citations
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mycobacterium research and diagnosis
  14. Towards Better Analysis of Deep Convolutional Neural Networks
    2016/04/24 by Mengchen Liu, Liu, Mengchen, Jiaxin Shi +8 · 8 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Visual Attention and Saliency Detection #Cell Image Analysis Techniques #Image and Video Quality Assessment
  15. Equivariant Energy-Guided SDE for Inverse Molecular Design
    2022/09/30 by Fan Bao, Min Zhao, Bao, Fan +9 · 10 citations
    Physics and Astronomy · Materials Science · #Spectroscopy and Quantum Chemical Studies #Machine Learning in Materials Science #Advanced Chemical Physics Studies
  16. Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
    2022/06/16 by Cheng Lü, Lu, Cheng, Kaiwen Zheng +9 · 10 citations
    Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  17. EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
    2022/07/14 by Min Zhao, Zhao, Min, Fan Bao +5 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Mycobacterium research and diagnosis
  18. Triple Generative Adversarial Nets
    2017/03/07 by Chongxuan Li, Li, Chongxuan, Kun Xu +5 · 11 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  19. RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
    2025/02/21 by Min Zhao, Zhao, Min, Guande He +9 · 23 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Thin-Film Transistor Technologies
  20. ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
    2023/05/26 by Min Zhao, Rongzhen Wang, Zhao, Min +7 · 9 citations
    Computer Science · #Video Analysis and Summarization #Generative Adversarial Networks and Image Synthesis
  21. Reinforcing General Reasoning without Verifiers
    2025/05/27 by Xiangxin Zhou, Zhou, Xiangxin, Zichen Liu +15 · 34 citations
    Computer Science · #Logic, Reasoning, and Knowledge
  22. Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
    2021/06/08 by Fan Bao, Guoqiang Wu, Bao, Fan +7 · 5 citations
    Computer Science · Decision Sciences · #Machine Learning and Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research
  23. MissDiff: Training Diffusion Models on Tabular Data with Missing Values
    2023/07/02 by Yidong Ouyang, Liyan Xie, Ouyang, Yidong +5 · 7 citations
    Computer Science · #Bayesian Methods and Mixture Models #Machine Learning in Healthcare
  24. Efficient Learning of Generative Models via Finite-Difference Score Matching
    2020/07/07 by Tianyu Pang, Pang, Tianyu, Kun Xu +9 · 4 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
  25. Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
    2022/06/15 by Fan Bao, Chongxuan Li, Bao, Fan +7 · 5 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Topic Modeling
  26. MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
    2021/05/05 by Tsung Wei Tsai, Tsai, Tsung Wei, Chongxuan Li +3 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
  27. Gaussian Mixture Solvers for Diffusion Models
    2023/11/02 by Hanzhong Guo, Lu Cheng, Guo, Hanzhong +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing
  28. Why Are Conditional Generative Models Better Than Unconditional Ones?
    2022/12/01 by Fan Bao, Bao, Fan, Chongxuan Li +5 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing
  29. Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
    2024/04/24 by Kaiwen Xue, Xue, Kaiwen, Yuhao Zhou +11 · 6 citations
    Computer Science · Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Simulation Techniques and Applications
  30. Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
    2023/02/05 by Chenyu Zheng, Guoqiang Wu, Zheng, Chenyu +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  31. A Survey on Latent Reasoning
    2025/07/08 by Ruijie Zhu, Zhu, Rui-Jie, Tianhao Peng +59 · 16 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  32. Triple Generative Adversarial Networks
    2019/12/20 by Chongxuan Li, Li, Chongxuan, Kun Xu +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  33. Toward Understanding Generative Data Augmentation
    2023/05/27 by Chenyu Zheng, Zheng, Chenyu, Guoqiang Wu +3 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Topic Modeling
  34. FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis
    2025/03/17 by Luxi Chen, Chen, Luxi, Zihan Zhou +15 · 8 citations
    Computer Science · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
    2023/10/17 by Siqi Kou, Lei Gan, Kou, Siqi +7 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Single-cell and spatial transcriptomics #Domain Adaptation and Few-Shot Learning
  36. Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
    2021/05/10 by Guoqiang Wu, Chongxuan Li, Wu, Guoqiang +5 · 2 citations
    Computer Science · #Text and Document Classification Technologies #Spam and Phishing Detection #Rough Sets and Fuzzy Logic
  37. Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
    2020/10/16 by Fan Bao, Kun Xu, Bao, Fan +9 · 2 citations
    Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  38. Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
    2023/02/21 by Zebin You, Yong Zhong, You, Zebin +9 · 2 citations
    Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  39. LLaDA-MoE: A Sparse MoE Diffusion Language Model
    2025/09/29 by Fengqi Zhu, Zhu, Fengqi, Zebin You +50 · 1 voice · 9 citations
    Computer Science · #Service-Oriented Architecture and Web Services #Semantic Web and Ontologies #Natural Language Processing Techniques
  40. Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
    2022/08/30 by Yong Zhong, Zhong, Yong, Hongtao Liu +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing
  41. PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control
    2024/05/23 by Yong Zhong, Zhong, Yong, Min Zhao +9 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Architecture and Computational Design #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation
  42. Countering Noisy Labels By Learning From Auxiliary Clean Labels
    2019/05/23 by Tsung Wei Tsai, Tsai, Tsung Wei, Chongxuan Li +3 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Water Systems and Optimization
  43. LLaDA2.0: Scaling Up Diffusion Language Models to 100B
    2025/12/10 by Tiwei Bie, Bie, Tiwei, Cao, Maosong +57 · 4 citations
    Computer Science · #Speech Recognition and Synthesis #Topic Modeling #Natural Language Processing Techniques
  44. ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
    2025/12/15 by Jianan Li, Jian Guan, Li, Jia-Nan +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Caching and Content Delivery #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Topic Modeling