← Authors

Chongxuan Li

55 papers · 2015–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (14) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (35) πŸ”₯ Unstoppable (11) ⚑ Prolific Year (12) πŸ—ƒοΈ Keyword Collector (168) ❓ The Questioner πŸ’Ž Century Club (55) πŸ“ˆ Trend Setter

Conferences

NIPS (20) ICML (15) ICLR (12) CVPR (4) ECCV (3) IJCAI (1)

Top co-authors

Jun Zhu (35) Fan Bao (16) Bo Zhang (13) Guoqiang Wu (8) Hang Su (7) Cheng Lu (7) Shen Nie (6) Jianfei Chen (6) Kun Xu (6) Tianyu Pang (6)

Keywords

diffusion model (9) generative model (8) image generation (7) generative adversarial network (5) semi-supervised learning (4) variational inference (4) score matching (4) energy-based model (3) generalization bound (3) latent variable model (3) deep generative model (2) variational autoencoder (2) convolutional neural network (2) stochastic differential equation (2) diffusion probabilistic model (2) text-to-image generation (2) class imbalance (2) hyperparameter optimization (2) video generation (2) multimodal generation (2)

Papers

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