Yiping Lu

Ph.D. student

Institute for Computational and Mathematical Engineering
School Of Engineering
Stanford University

Bachelor of Science(Honor Track)

Department of Scientific & Engineering Computing
School of mathematical sciences
Peking University

Email: yplu [at] stanford [dot] edu
Contact: Moving now... contact me by email!

Publications List

Research Areas:

	Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying. "A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth" Thirty-seventh International Conference on Machine Learning (ICML), 2020* Short version presented at ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations. (Oral) [ paper] [ arXiv] [slide] [Video]
	Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang "Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network" NeurIPS2019 Workshop on ML with Guarantees. arXiv preprint:1910.01255* [ paper] [ arXiv] [ slide]
	Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-yan Liu "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View." (equal contribution) ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations. arXiv preprint:1906.02762* [ paper] [ arXiv] [ slide] [Code]
	Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang "Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network" NeurIPS2019 Workshop on ML with Guarantees. arXiv preprint:1910.01255* [ paper] [ arXiv] [ slide]
	Dinghuai Zhang, Tianyuan Zhang,Yiping Lu, Zhanxing Zhu, Bin Dong. "You Only Propagate Once: Painless Adversarial Training Using Maximal Principle." (equal contribution) Submitted. arXiv preprint:1905.00877 [ paper] [ arXiv] [ slide] [Code][poster]
	Bin Dong, Haochen Ju, Yiping Lu, Zuoqiang Shi. " CURE: Curvature Regularization For Image Processing." Submitted. arXiv preprint:1901.09548 [ paper] [ arXiv] [Code] [ slide] [ project page]
	Zichao Long, Yiping Lu, Bin Dong. " PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network" Journal of Computational Physics, 399, 108925, 2019. (arXiv preprint:1812.04426) [ paper] [ arXiv] [code] [ slide] [ proceeding]
	Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong. "Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration" Seventh International Conference on Learning Representations(ICLR) 2019(*equal contribution) [ paper] [ arXiv] [code] [ slide] [ project page][Open Review]
	Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong. "Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations" Thirty-fifth International Conference on Machine Learning (ICML), 2018 [ paper] [ arXiv] [ project page] [ slide][ bibtex][ Poster]
	Zichao long, Yiping Lu, Xianzhong Ma, Bin Dong. "PDE-Net:Learning PDEs From Data", Thirty-fifth International Conference on Machine Learning (ICML), 2018(equal contribution) [ paper] [ arXiv] [ code] [ Supplementary Materials][ bibtex]