Yihan Wang

160

120

20202021202220239 66 143 31

Public access

3 articles

0 articles

available

not available

Based on funding mandates

Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Huan ZhangPostdoctoral Researcher at Carnegie Mellon University (CMU)Verified email at cs.cmu.edu
Zhouxing ShiUniversity of California, Los AngelesVerified email at cs.ucla.edu
Kaidi XuAssistant Professor, Drexel UniversityVerified email at northeastern.edu
Xue LinNortheastern UniversityVerified email at northeastern.edu
Shiqi WangApplied Scientist, Amazon AWS AI LabVerified email at cs.columbia.edu
Suman JanaAssociate Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Jinfeng Yi (易津锋)JD AI ResearchVerified email at jd.com
Hongge ChenPhD, MIT EECSVerified email at mit.edu
Duane BoningMassachusetts Institute of TechnologyVerified email at mtl.mit.edu
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu

Yihan Wang

Verified email at ucla.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic perturbation analysis for scalable certified robustness and beyond K Xu, Z Shi, H Zhang, Y Wang, KW Chang, M Huang, B Kailkhura, X Lin, ... Advances in Neural Information Processing Systems 33, 1129-1141, 2020	139	2020
Fast and complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers K Xu, H Zhang, S Wang, Y Wang, S Jana, X Lin, CJ Hsieh arXiv preprint arXiv:2011.13824, 2020	65	2020
Fast certified robust training with short warmup Z Shi, Y Wang, H Zhang, J Yi, CJ Hsieh Advances in Neural Information Processing Systems 34, 18335-18349, 2021	25*	2021
On -norm Robustness of Ensemble Stumps and Trees Y Wang, H Zhang, H Chen, D Boning, CJ Hsieh arXiv preprint arXiv:2008.08755, 2020	13*	2020
On the convergence of certified robust training with interval bound propagation Y Wang, Z Shi, Q Gu, CJ Hsieh arXiv preprint arXiv:2203.08961, 2022	4	2022
Efficiently computing local Lipschitz constants of neural networks via bound propagation Z Shi, Y Wang, H Zhang, JZ Kolter, CJ Hsieh Advances in Neural Information Processing Systems 35, 2350-2364, 2022	2	2022
Preserving In-Context Learning ability in Large Language Model Fine-tuning Y Wang, S Si, D Li, M Lukasik, F Yu, CJ Hsieh, IS Dhillon, S Kumar arXiv preprint arXiv:2211.00635, 2022	2	2022

The system can't perform the operation now. Try again later.

Articles 1–7

Citations per year