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ORCIDYu Huang 0023
Person information
- affiliation: Tsinghua University, Institute for Interdisciplinary Information Sciences, IIIS, China
Other persons with the same name
- Yu Huang — disambiguation page
- Yu Huang 0001 — Tsinghua University, Department of Computer Science and Technology, China
- Yu Huang 0002
![[0000-0001-8921-036X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8921-036X")
— Nanjing University, Department of Computer Science and Technology, China - Yu Huang 0003 — University of Southern California Los Angeles
- Yu Huang 0004 — Peking University, National Engineering Research Center for Software Engineering, Beijing, China
- Yu Huang 0005 — Mentor Graphics Corporation, Wilsonville, OR, USA (and 1 more)
- Yu Huang 0006 — Sun Yat-Sen University, Department of Mathematics, Guangzhou, China
- Yu Huang 0007 — Samsung Electronics, Ridgefield Park, NJ, USA (and 2 more)
- Yu Huang 0008 — Arizona State University
- Yu Huang 0009 — University of Ulster, School of Computing and Mathematics, Jordanstown, UK (and 1 more)
- Yu Huang 0010 — Hunan University, School of Physics and Electronics, Changsha, China (and 1 more)
- Yu Huang 0011 — Southeast University, School of Electrical Engineering, Nanjing, China
- Yu Huang 0012 — Guangzhou University, China (and 1 more)
- Yu Huang 0013 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Yu Huang 0014 — Soterix Medical Inc., New York, NY, USA (and 1 more)
- Yu Huang 0015 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
- Yu Huang 0016 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Yu Huang 0017 — Seagate Technology, MN, USA (and 1 more)
- Yu Huang 0018 — University of Florida, FL, USA (and 1 more)
- Yu Huang 0019 — McMaster University, Hamilton, Ontario, Canada
- Yu Huang 0020 — Vanderbilt University, Nashville, TN, USA
- Yu Huang 0021 — Jinan University, College of Physics and Optoelectronic Engineering, Guangzhou, China (and 1 more)
- Yu Huang 0022 — North China Electric Power University, Department of Automation, Baoding, China
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Journal Articles
- 2023
[j3]Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang:
Online Min-max Problems with Non-convexity and Non-stationarity. Trans. Mach. Learn. Res. 2023 (2023)- 2020
- [j2]Yu Huang, Longbo Huang:
Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. Perform. Evaluation 144: 102143 (2020) - [j1]Yu Huang, Longbo Huang:
Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 48(3): 109-110 (2020)
Conference and Workshop Papers
- 2024
- [c4]Yu Huang, Yuan Cheng, Yingbin Liang:
In-context Convergence of Transformers. ICML 2024 - 2022
- [c3]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML 2022: 9226-9259 - [c2]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. NeurIPS 2022 - 2021
- [c1]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multi-Modal Learning Better than Single (Provably). NeurIPS 2021: 10944-10956
Informal and Other Publications
- 2024
- [i6]Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang:
Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. CoRR abs/2403.02233 (2024) - [i5]Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi:
In-Context Learning with Representations: Contextual Generalization of Trained Transformers. CoRR abs/2408.10147 (2024) - 2023
- [i4]Yu Huang, Yuan Cheng, Yingbin Liang:
In-Context Convergence of Transformers. CoRR abs/2310.05249 (2023) - 2022
- [i3]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR abs/2203.12221 (2022) - [i2]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. CoRR abs/2206.09136 (2022) - 2021
- [i1]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multimodal Learning Better than Single (Provably). CoRR abs/2106.04538 (2021)
Coauthor Index
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