2014.09 - 2019.07 清华大学 博士，计算机科学与技术系，指导老师：张钹教授

2017.09 - 2018.09 博士交换生，指导老师：Max Welling 教授

2010.09 - 2014.07 清华大学 本科，交叉信息研究院（姚班）

清华大学 2019.07-2021.07 博士后，指导老师：朱军教授

机器学习，深度生成模型。详见个人主页：https://zhenxuan00.github.io/

态度：求真务实，精益求精

能力：数学、编程能力强的同学优先

目标：具备独立研究能力，博士毕业时成为一个领域的专家

研究生课程 概率与随机算法 秋季学期

研究生课程 深度生成模型：原理与应用 春季学期

2022

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

Min Zhao, Fan Bao, Chongxuan Li†, Jun Zhu†

Advances in Neural Information Processing Systems (NeurIPS)

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

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li and Jun Zhu

Advances in Neural Information Processing Systems (NeurIPS)

Deep reinforcement learning with credit assignment for combinatorial optimization

Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu

Pattern Recognition

Probabilistic Neural-Symbolic Models with Inductive Posterior Constraints

Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Fast Lossless Neural Compression with Integer-Only Discrete Flows

Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu and Bo Zhang

International Conference on Machine Learning (ICML)

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

Cheng Lu, Kaiwen Zheng, Fan Bao, Chongxuan Li, Jianfei Chen and Jun Zhu

International Conference on Machine Learning (ICML)

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

Fan Bao, Chongxuan Li† , Jiacheng Sun, Jun Zhu† and Bo Zhang († corresponding author)

International Conference on Machine Learning (ICML)

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† († corresponding author)

International Conference on Learning Representations (ICLR)

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

Fan Bao, Chongxuan Li† , Jun Zhu† and Bo Zhang († corresponding author)

International Conference on Learning Representations (ICLR) (Outstanding Paper Award, acceptence rate < 0.16%)

2021

Triple Generative Adversarial Networks

Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu and Bo Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, preprint)

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Fan Bao*, Guoqiang Wu*, Chongxuan Li*, Jun Zhu and Bo Zhang (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS)

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

Guoqiang Wu*, Chongxuan Li*, Kun Xu and Jun Zhu （* equal contribution）

Advances in Neural Information Processing Systems (NeurIPS)

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† († corresponding author)

Conference on Computer Vision and Pattern Recognition (CVPR)

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

Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu and Bo Zhang

International Conference on Machine Learning (ICML)

Implicit Normalizing Flows

Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang and Jun Zhu

International Conference on Learning Representations (ICLR) (Spotlight, acceptence rate < 5.6%)

MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering

Tsung Wei Tsai, Chongxuan Li and Jun Zhu

International Conference on Learning Representations (ICLR)

2020

Understanding and Stabilizing GANs’ Training Dynamics with Control Theory

Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu and Bo Zhang

International Conference on Machine Learning (ICML)

Learning Implicit Generative Models by Teaching Explicit Ones

Kun Xu, Chao Du, Chongxuan Li, Jun Zhu and Bo Zhang

European Conference on Machine Learning (ECML)

Efficient Learning of Generative Models via Finite-Difference Score Matching

Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon and Jun Zhu

Advances in Neural Information Processing Systems (NeurIPS)

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

Fan Bao*, Chongxuan Li*, Kun Xu, Hang Su, Jun Zhu and Bo Zhang (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS)

To Relieve Your Headache of Training an MRF, Take AdVIL

Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu and Bo Zhang

International Conference on Learning Representations (ICLR)

2019

Multi-objects Generation with Amortized Structural Regularization

Kun Xu, Chongxuan Li, Jun Zhu and Bo Zhang

Advances in Neural Information Processing Systems (NeurIPS)

Conditional Graphical Generative Adversarial Networks

Chongxuan Li, Jun Zhu and Bo Zhang

Journal of Software (in Chinese)

2018

Collaborative Filtering with User-Item Co-Autoregressive Models

Chao Du,Chongxuan Li, Yin Zheng, Jun Zhu and Bo Zhang

Association for the Advancement of Artificial Intelligence (AAAI)

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

Danyang Sun, Tongzheng Ren, Chongxuan Li, Jun Zhu, and Hang Su

International Joint Conferences on Artificial Intelligence (IJCAI)

Graphical Generative Adversarial Networks

Chongxuan Li, Max Welling, Jun Zhu and Bo Zhang

Advances in Neural Information Processing Systems (NeurIPS)

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

Chongxuan Li, Jun Zhu and Bo Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2017

Population Matching Discrepancy and Applications in Deep Learning

Jianfei Chen, Chongxuan Li, Yizhong Ru and Jun Zhu

Advances in Neural Information Processing Systems (NeurIPS)

Triple Generative Adversarial Nets

Chongxuan Li, Kun Xu, Jun Zhu and Bo Zhang

Advances in Neural Information Processing Systems (NeurIPS)

2016

Towards Better Analysis of Deep Convolutional Neural Networks

Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, and Shixia Liu

IEEE VAST, TVCG track

Learning to Generate with Memory

Chongxuan Li, Jun Zhu and Bo Zhang

International Conference on Machine Learning (ICML)

2015

Max-Margin Deep Generative Models

Chongxuan Li, Jun Zhu, Tianlin Shi and Bo Zhang

Advances in Neural Information Processing Systems (NeurIPS)

ACM SIGAI China 新星奖 2023

吴文俊优秀青年奖 2022

北京市科技新星 2022

ICLR 杰出论文奖 2022

吴文俊人工智能自然科学奖一等奖 （第五完成人）2021

中国计算机学会（CCF）优秀博士学位论文奖 2019

清华大学水木学者 2019

中国博士后创新人才支持计划 2019

微软学者（MSRA fellowship）2017

IEEE vizdoom 国际强化学习竞赛第二名 2017

邮箱：chongxuanli@ruc.edu.cn

个人网页：https://zhenxuan00.github.io/