Bohang Zhang

20202021202220232 15 49 20

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Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Di HePeking UniversityVerified email at pku.edu.cn
Tianle CaiPhD Student, Princeton UniversityVerified email at princeton.edu
Jikai JinSchool of Mathematical Sciences, Peking UniversityVerified email at pku.edu.cn
Zhou LuPhD student at PrincetonVerified email at princeton.edu
Cong FangPeking UniversityVerified email at pku.edu.cn
Haiyang WangPKUVerified email at stu.pku.edu.cn
Shengjie LuoPhD Student, Peking UniversityVerified email at stu.pku.edu.cn

Bohang Zhang

Verified email at pku.edu.cn - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Towards certifying l-infinity robustness using neural networks with l-inf-dist neurons B Zhang, T Cai, Z Lu, D He, L Wang International Conference on Machine Learning (ICML 2021), 12368-12379, 2021	32*	2021
Improved Analysis of Clipping Algorithms for Non-convex Optimization B Zhang, J Jin, C Fang, L Wang Neural Information Processing Systems (NeurIPS 2020), 15511--15521, 2020	20	2020
Boosting the certified robustness of l-infinity distance nets B Zhang, D Jiang, D He, L Wang International Conference on Learning Representations (ICLR 2022), 2022	16	2022
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis J Jin, B Zhang, H Wang, L Wang Neural Information Processing Systems (NeurIPS 2021), 2021	12	2021
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective B Zhang, D Jiang, D He, L Wang Neural Information Processing Systems (NeurIPS 2022), Oral Presentation, 2022	4*	2022
Rethinking the expressive power of gnns via graph biconnectivity B Zhang, S Luo, L Wang, D He International Conference on Learning Representations (ICLR 2023), Oral …, 2023	2	2023
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests B Zhang, G Feng, Y Du, D He, L Wang arXiv preprint arXiv:2302.07090, 2023		2023

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