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ORCIDXiang Wang 0011
Person information
- affiliation: Duke University, Department of Computer Science, Durham, NC, USA
Other persons with the same name
- Xiang Wang — disambiguation page
- Xiang Wang 0001 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Xiang Wang 0002 — Tsinghua University, School of Software, Beijing, China
- Xiang Wang 0003
![[0000-0002-4903-4960]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4903-4960")
— Tsinghua University, Department of Electronic Engineering, Beijing, China - Xiang Wang 0004 — Xiamen University of Technology, Department of Mechanical and Electrical Engineering, China
- Xiang Wang 0005 — Nankai University, Tianjin, China
- Xiang Wang 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiang Wang 0007 — The University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- Xiang Wang 0008 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Xiang Wang 0009 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
- Xiang Wang 0010 — University of Science and Technology of China, CCCD Key Lab of Ministry of Culture and Tourism, Hefei, China (and 1 more)
- Xiang Wang 0012 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2023
[c12]Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge:
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. ICLR 2023- [c11]Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge:
Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. ICLR 2023 - [c10]Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge:
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup. ICML 2023: 5563-5599 - 2022
- [c9]Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge:
Towards Understanding the Data Dependency of Mixup-style Training. ICLR 2022 - [i11]Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge:
Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. CoRR abs/2210.01019 (2022) - [i10]Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge:
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. CoRR abs/2210.03294 (2022) - [i9]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
- [c8]Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge:
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach. ICML 2021: 10981-10990 - [c7]Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou:
Understanding Deflation Process in Over-parametrized Tensor Decomposition. NeurIPS 2021: 1299-1311 - [i8]Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou:
Understanding Deflation Process in Over-parametrized Tensor Decomposition. CoRR abs/2106.06573 (2021) - [i7]Xiang Wang, Xinlei Chen, Simon S. Du, Yuandong Tian:
Towards Demystifying Representation Learning with Non-contrastive Self-supervision. CoRR abs/2110.04947 (2021) - [i6]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
- [c6]Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. NeurIPS 2020 - [i5]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) - [i4]Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. CoRR abs/2010.11356 (2020)
2010 – 2019
- 2019
- [c5]Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang:
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. COLT 2019: 1394-1448 - [c4]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. ICLR (Poster) 2019 - [c3]Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora:
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. NeurIPS 2019: 14574-14583 - [i3]Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang:
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. CoRR abs/1905.00529 (2019) - [i2]Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge:
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. CoRR abs/1906.06247 (2019) - 2018
- [c2]Chaoli Zhang, Xiang Wang, Fan Wu, Xiaohui Bei:
Efficient Auctions with Identity-Dependent Negative Externalities. AAMAS 2018: 2156-2158 - [i1]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. CoRR abs/1810.06793 (2018) - 2016
- [c1]Xiang Wang, Zhenzhe Zheng, Fan Wu, Xiaoju Dong, Shaojie Tang, Guihai Chen:
Strategy-Proof Data Auctions with Negative Externalities: (Extended Abstract). AAMAS 2016: 1269-1270
Coauthor Index
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