Neuron Segmentation Based on CNN with Semi-Supervised Regularization. - Kun Xu 004; Hang Su 006; Jun Zhu 001; Ji-Song Guan; Bo Zhang 010 (CVPR Workshops, 2016)

Triple Generative Adversarial Nets. - Chongxuan Li; Kun Xu 004; Jun Zhu 001; Bo Zhang 010 (CoRR, 2017)

Learning Implicit Generative Models by Teaching Explicit Ones. - Chao Du; Kun Xu 004; Chongxuan Li; Jun Zhu 001; Bo Zhang 010 (CoRR, 2018)

Deep Structured Generative Models. - Kun Xu 004; Haoyu Liang; Jun Zhu 001; Hang Su 006; Bo Zhang 010 (CoRR, 2018)

Improving Adversarial Robustness via Promoting Ensemble Diversity. - Tianyu Pang; Kun Xu 004; Chao Du; Ning Chen 002; Jun Zhu 001 (ICML, 2019)

Adversarial Variational Inference and Learning in Markov Random Fields. - Chongxuan Li; Chao Du; Kun Xu 004; Max Welling; Jun Zhu 001; Bo Zhang 010 (CoRR, 2019)

Multi-objects Generation with Amortized Structural Regularization. - Kun Xu 004; Chongxuan Li; Jun Zhu 001; Bo Zhang 010 (CoRR, 2019)

Understanding and Stabilizing GANs' Training Dynamics with Control Theory. - Kun Xu 004; Chongxuan Li; Huanshu Wei; Jun Zhu 001; Bo Zhang 010 (CoRR, 2019)

To Relieve Your Headache of Training an MRF, Take AdVIL. - Chongxuan Li; Chao Du; Kun Xu 004; Max Welling; Jun Zhu 001; Bo Zhang 010 (ICLR, 2020)

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. - Tianyu Pang; Kun Xu 004; Yinpeng Dong; Chao Du; Ning Chen 002; Jun Zhu 001 (ICLR, 2020)

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. - Tianyu Pang; Kun Xu 004; Jun Zhu 001 (ICLR, 2020)

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. - Kun Xu 004; Chongxuan Li; Jun Zhu 001; Bo Zhang 010 (ICML, 2020)

Learning Implicit Generative Models by Teaching Density Estimators. - Kun Xu 004; Chao Du; Chongxuan Li; Jun Zhu 001; Bo Zhang 010 (ECML/PKDD (2), 2020)

Boosting Adversarial Training with Hypersphere Embedding. - Tianyu Pang; Xiao Yang; Yinpeng Dong; Kun Xu 004; Hang Su 006; Jun Zhu 001 (CoRR, 2020)

Efficient Learning of Generative Models via Finite-Difference Score Matching. - Tianyu Pang; Kun Xu 004; Chongxuan Li; Yang Song 011; Stefano Ermon; Jun Zhu 001 (CoRR, 2020)

Bi-level Score Matching for Learning Energy-based Latent Variable Models. - Fan Bao; Chongxuan Li; Kun Xu 004; Hang Su 006; Jun Zhu 001; Bo Zhang 010 (CoRR, 2020)

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. - Fan Bao; Kun Xu 004; Chongxuan Li; Lanqing Hong; Jun Zhu 001; Bo Zhang 010 (ICML, 2021)

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. - Guoqiang Wu; Chongxuan Li; Kun Xu 004; Jun Zhu 001 (NeurIPS, 2021)

Triple Generative Adversarial Networks. - Chongxuan Li; Kun Xu 004; Jun Zhu 001; Jiashuo Liu; Bo Zhang 010 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)