Kun Xu - RankMe

25 papers A* 7Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
2021	A*	`conf`	Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. NeurIPS Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
2021	J	`jnl`	Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. CoRR Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
2021	A*	`conf`	Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2020	J	`jnl`	Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
2020	J	`jnl`	Boosting Adversarial Training with Hypersphere Embedding. CoRR Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu
2020	J	`jnl`	Efficient Learning of Generative Models via Finite-Difference Score Matching. CoRR Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
2020	—	`conf`	Learning Implicit Generative Models by Teaching Density Estimators. ECML/PKDD (2) Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang
2020	A*	`conf`	Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. ICLR Tianyu Pang, Kun Xu, Jun Zhu
2020	A*	`conf`	Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. ICLR Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
2020	A*	`conf`	To Relieve Your Headache of Training an MRF, Take AdVIL. ICLR Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
2020	A*	`conf`	Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. ICML Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2020	J	`jnl`	Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2019	J	`jnl`	Adversarial Variational Inference and Learning in Markov Random Fields. CoRR Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
2019	A*	`conf`	Improving Adversarial Robustness via Promoting Ensemble Diversity. ICML Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
2019	J	`jnl`	Improving Adversarial Robustness via Promoting Ensemble Diversity. CoRR Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
2019	J	`jnl`	Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. CoRR Tianyu Pang, Kun Xu, Jun Zhu
2019	J	`jnl`	Multi-objects Generation with Amortized Structural Regularization. CoRR Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2019	J	`jnl`	Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. CoRR Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
2019	J	`jnl`	Triple Generative Adversarial Networks. CoRR Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
2019	J	`jnl`	Understanding and Stabilizing GANs' Training Dynamics with Control Theory. CoRR Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang
2018	J	`jnl`	Deep Structured Generative Models. CoRR Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang
2018	J	`jnl`	Learning Implicit Generative Models by Teaching Explicit Ones. CoRR Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2017	J	`jnl`	Triple Generative Adversarial Nets. CoRR Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang
2016	—	`conf`	Neuron Segmentation Based on CNN with Semi-Supervised Regularization. CVPR Workshops Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang