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Haoxiang Wang 0003
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Haoxiang Wang — disambiguation page
- Haoxiang Wang 0001 — Cornell University, Ithaca, NY, USA
- Haoxiang Wang 0002 — South China University of Technology, Guangzhou, China (and 1 more)
- Haoxiang Wang 0004 — North China Electric Power University, Beijing, China
- Haoxiang Wang 0005 — Beijing Information Science and Technology University, Beijing, China
- Haoxiang Wang 0006 — Tsinghua University, Beijing, China
- Haoxiang Wang 0007 — Nanjing Agricultural University, Nanjing, China
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2020 – today
- 2024
- [i11]Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao:
Enhancing Compositional Generalization via Compositional Feature Alignment. CoRR abs/2402.02851 (2024) - 2023
- [i10]Yong Lin, Lu Tan, Hangyu Lin, Zeming Zheng, Renjie Pi, Jipeng Zhang, Shizhe Diao, Haoxiang Wang, Han Zhao, Yuan Yao, Tong Zhang:
Speciality vs Generality: An Empirical Study on Catastrophic Forgetting in Fine-tuning Foundation Models. CoRR abs/2309.06256 (2023) - [i9]Yifei He, Haoxiang Wang, Bo Li, Han Zhao:
Gradual Domain Adaptation: Theory and Algorithms. CoRR abs/2310.13852 (2023) - [i8]Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si, Bo Li, Han Zhao:
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms. CoRR abs/2311.00966 (2023) - 2022
- [c5]Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li:
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CVPR 2022: 9787-9798 - [c4]Haoxiang Wang, Bo Li, Han Zhao:
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond. ICML 2022: 22784-22801 - [c3]Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao:
Provable Domain Generalization via Invariant-Feature Subspace Recovery. ICML 2022: 23018-23033 - [c2]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI 2022: 2256-2266 - [i7]Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao:
Provable Domain Generalization via Invariant-Feature Subspace Recovery. CoRR abs/2201.12919 (2022) - [i6]Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li:
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CoRR abs/2203.09137 (2022) - [i5]Haoxiang Wang, Bo Li, Han Zhao:
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond. CoRR abs/2204.08200 (2022) - [i4]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR abs/2209.01143 (2022) - [i3]Haoxiang Wang, Maurice Weber, Josh Izaac, Cedric Yen-Yu Lin:
Predicting Properties of Quantum Systems with Conditional Generative Models. CoRR abs/2211.16943 (2022) - 2021
- [c1]Haoxiang Wang, Han Zhao, Bo Li:
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation. ICML 2021: 10991-11002 - [i2]Haoxiang Wang, Han Zhao, Bo Li:
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation. CoRR abs/2106.09017 (2021) - 2020
- [i1]Haoxiang Wang, Ruoyu Sun, Bo Li:
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets. CoRR abs/2006.14606 (2020)
Coauthor Index
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