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ORCIDChenwei Wu 0002
Person information
- affiliation: Duke University, Durham, NC, USA
- unicode name: 吴晨玮
Other persons with the same name
- Chenwei Wu 0001 — Shanghai University, Shanghai, China
- Chenwei Wu 0003
![[0000-0001-5145-4123]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5145-4123")
— Fujian University of Technology, Fujian Provincial Big Data Research Institute of Intelligent Transportation, China - Chenwei Wu 0004 — Fudan University, Institute of AI and Robotics, Shanghai, China
- Chenwei Wu 0005 — Fuzhou University, College of Computer and Data Science, China
- Chenwei Wu 0006 — Harvard University, MA, USA
- Chenwei Wu 0007 — Xi'an University of Technology, School of Computer Science and Engineering, China
- Chenwei Wu 0008 — University of Rochester, Goergen Institute for Data Science, NY, USA
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Books and Theses
- 2023
[b1]Chenwei Wu:
Theoretical Understanding of Neural Network Optimization Landscape and Self-Supervised Representation Learning. Duke University, Durham, NC, USA, 2023
Conference and Workshop Papers
- 2023
- [c6]Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge:
Hiding Data Helps: On the Benefits of Masking for Sparse Coding. ICML 2023: 5600-5615 - [c5]Chenwei Wu, Holden Lee, Rong Ge:
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation. NeurIPS 2023 - 2022
- [c4]Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge:
Towards Understanding the Data Dependency of Mixup-style Training. ICLR 2022 - 2021
- [c3]Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge:
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach. ICML 2021: 10981-10990 - 2020
- [c2]Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. NeurIPS 2020 - 2018
- [c1]Chenwei Wu, Jiajun Luo, Jason D. Lee:
No Spurious Local Minima in a Two Hidden Unit ReLU Network. ICLR (Workshop) 2018
Informal and Other Publications
- 2023
- [i8]Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge:
Hiding Data Helps: On the Benefits of Masking for Sparse Coding. CoRR abs/2302.12715 (2023) - [i7]Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang:
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models. CoRR abs/2310.02777 (2023) - 2022
- [i6]Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge:
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup. CoRR abs/2210.13512 (2022) - 2021
- [i5]Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge:
Towards Understanding the Data Dependency of Mixup-style Training. CoRR abs/2110.07647 (2021) - 2020
- [i4]Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge:
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach. CoRR abs/2006.16495 (2020) - [i3]Chenwei Wu, Chenzhuang Du, Yang Yuan:
Secure Data Sharing With Flow Model. CoRR abs/2009.11762 (2020) - [i2]Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie N. Wang, Rong Ge:
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks. CoRR abs/2010.04261 (2020) - [i1]Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. CoRR abs/2010.11356 (2020)
Coauthor Index
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