Bai Li - RankMe

16 papers A* 3A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	—	`—`	Privacy and Robustness of Deep Neural Networks. Bai Li
2020	A*	`conf`	Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
2020	A*	`conf`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2020	J	`jnl`	Towards Practical Lottery Ticket Hypothesis for Adversarial Training. CoRR Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana
2020	J	`jnl`	Towards Understanding Fast Adversarial Training. CoRR Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin
2019	A*	`conf`	Certified Adversarial Robustness with Additive Noise. NeurIPS Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019	J	`jnl`	Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. CoRR Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
2019	J	`jnl`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2019	—	`conf`	Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	A	`conf`	On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
2019	J	`jnl`	On Norm-Agnostic Robustness of Adversarial Training. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2018	A	`conf`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	J	`jnl`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	J	`jnl`	Second-Order Adversarial Attack and Certifiable Robustness. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2017	J	`jnl`	On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR Bai Li, Changyou Chen, Hao Liu, Lawrence Carin