Chongxuan Li

Orcid: 0000-0002-0912-9076

According to our database¹, Chongxuan Li authored at least 69 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Diffusion Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., July, 2023

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing.

[BibT_eX]

[DOI]

CoRR, 2023

Gaussian Mixture Solvers for Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2023

On Memorization in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training.

[BibT_eX]

[DOI]

CoRR, 2023

MissDiff: Training Diffusion Models on Tabular Data with Missing Values.

[BibT_eX]

[DOI]

CoRR, 2023

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.

[BibT_eX]

[DOI]

CoRR, 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.

[BibT_eX]

[DOI]

CoRR, 2023

Toward Understanding Generative Data Augmentation.

[BibT_eX]

[DOI]

Chenyu Zheng

Guoqiang Wu

Chongxuan Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Evaluating Adversarial Robustness of Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gaussian Mixture Solvers for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards Understanding Generalization of Macro-AUC in Multi-label Learning.

[BibT_eX]

[DOI]

Guoqiang Wu

Chongxuan Li

Yilong Yin

Proceedings of the International Conference on Machine Learning, 2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equivariant Energy-Guided SDE for Inverse Molecular Design.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

All are Worth Words: A ViT Backbone for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep reinforcement learning with credit assignment for combinatorial optimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Triple Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

[BibT_eX]

[DOI]

CoRR, 2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Memory Replay with Data Compression for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering.

[BibT_eX]

[DOI]

Tsung Wei Tsai

Chongxuan Li

Jun Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

Implicit Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Implicit Generative Models by Teaching Density Estimators.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

To Relieve Your Headache of Training an MRF, Take AdVIL.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Understanding and Stabilizing GANs' Training Dynamics with Control Theory.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.

[BibT_eX]

[DOI]

CoRR, 2019

DS<sup>3</sup>L: Deep Self-Semi-Supervised Learning for Image Recognition.

[BibT_eX]

[DOI]

Tsung Wei Tsai

Chongxuan Li

Jun Zhu

CoRR, 2019

Adversarial Variational Inference and Learning in Markov Random Fields.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Max-Margin Deep Generative Models for (Semi-)Supervised Learning.

[BibT_eX]

[DOI]

Chongxuan Li

Jun Zhu

Bo Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning Implicit Generative Models by Teaching Explicit Ones.

[BibT_eX]

[DOI]

CoRR, 2018

Graphical Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Towards Better Analysis of Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2017

Triple Generative Adversarial Nets.

[BibT_eX]

[DOI]

CoRR, 2017

Triple Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Population Matching Discrepancy and Applications in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Collaborative Filtering with User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2016

Learning to Generate with Memory.

[BibT_eX]

[DOI]

Chongxuan Li

Jun Zhu

Bo Zhang

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Max-Margin Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Chongxuan Li

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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