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2020 – today
- 2021
[i20]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CoRR abs/2101.00407 (2021)- [i19]Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu:
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR abs/2101.01400 (2021) - [i18]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. CoRR abs/2103.09527 (2021) - 2020
- [c13]Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang:
To Relieve Your Headache of Training an MRF, Take AdVIL. ICLR 2020 - [c12]Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. ICML 2020: 10566-10575 - [c11]Fan Bao, Chongxuan Li, Taufik Xu, Hang Su, Jun Zhu, Bo Zhang:
Bi-level Score Matching for Learning Energy-based Latent Variable Models. NeurIPS 2020 - [c10]Tianyu Pang, Taufik Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu:
Efficient Learning of Generative Models via Finite-Difference Score Matching. NeurIPS 2020 - [c9]Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang:
Learning Implicit Generative Models by Teaching Density Estimators. ECML/PKDD (2) 2020: 239-255 - [i17]Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu:
Efficient Learning of Generative Models via Finite-Difference Score Matching. CoRR abs/2007.03317 (2020) - [i16]Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang:
Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR abs/2010.07856 (2020) - [i15]Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang:
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR abs/2010.08258 (2020)
2010 – 2019
- 2019
- [c8]Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Multi-objects Generation with Amortized Structural Regularization. NeurIPS 2019: 6615-6625 - [i14]Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang:
Adversarial Variational Inference and Learning in Markov Random Fields. CoRR abs/1901.08400 (2019) - [i13]Tsung Wei Tsai, Chongxuan Li, Jun Zhu:
DS3L: Deep Self-Semi-Supervised Learning for Image Recognition. CoRR abs/1905.13305 (2019) - [i12]Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Multi-objects Generation with Amortized Structural Regularization. CoRR abs/1906.03923 (2019) - [i11]Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang:
Understanding and Stabilizing GANs' Training Dynamics with Control Theory. CoRR abs/1909.13188 (2019) - [i10]Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang:
Triple Generative Adversarial Networks. CoRR abs/1912.09784 (2019) - 2018
- [j2]Chongxuan Li
, Jun Zhu, Bo Zhang:
Max-Margin Deep Generative Models for (Semi-)Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2762-2775 (2018) - [c7]Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang:
Collaborative Filtering With User-Item Co-Autoregressive Models. AAAI 2018: 2175-2182 - [c6]Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu:
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. IJCAI 2018: 920-927 - [c5]Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang:
Graphical Generative Adversarial Networks. NeurIPS 2018: 6072-6083 - [i9]Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang:
Graphical Generative Adversarial Networks. CoRR abs/1804.03429 (2018) - [i8]Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Learning Implicit Generative Models by Teaching Explicit Ones. CoRR abs/1807.03870 (2018) - 2017
- [j1]Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu:
Towards Better Analysis of Deep Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 23(1): 91-100 (2017) - [c4]Chongxuan Li, Taufik Xu, Jun Zhu, Bo Zhang:
Triple Generative Adversarial Nets. NIPS 2017: 4088-4098 - [c3]Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu:
Population Matching Discrepancy and Applications in Deep Learning. NIPS 2017: 6262-6272 - [i7]Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang:
Triple Generative Adversarial Nets. CoRR abs/1703.02291 (2017) - [i6]Danyang Sun, Tongzheng Ren, Chongxuan Li, Jun Zhu, Hang Su:
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. CoRR abs/1712.06424 (2017) - 2016
- [c2]Chongxuan Li, Jun Zhu, Bo Zhang:
Learning to Generate with Memory. ICML 2016: 1177-1186 - [i5]Chongxuan Li, Jun Zhu, Bo Zhang:
Learning to Generate with Memory. CoRR abs/1602.07416 (2016) - [i4]Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu:
Towards Better Analysis of Deep Convolutional Neural Networks. CoRR abs/1604.07043 (2016) - [i3]Chongxuan Li, Jun Zhu, Bo Zhang:
Max-Margin Deep Generative Models for (Semi-)Supervised Learning. CoRR abs/1611.07119 (2016) - [i2]Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Cailiang Liu, Hanning Zhou, Bo Zhang:
Collaborative Filtering with User-Item Co-Autoregressive Models. CoRR abs/1612.07146 (2016) - 2015
- [c1]Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang:
Max-Margin Deep Generative Models. NIPS 2015: 1837-1845 - [i1]Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang:
Max-margin Deep Generative Models. CoRR abs/1504.06787 (2015)
Coauthor Index
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