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Kaiqi Zhang 0002
Person information
- affiliation: University of California at Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
- affiliation (former): University of California Davis, Department of Electrical and Computer Engineering, CA, USA
Other persons with the same name
- Kaiqi Zhang — disambiguation page
- Kaiqi Zhang 0001 (aka: Kai-Qi Zhang 0001) — Harbin Institute of Technology, School of Computer Science and Technology, China
- Kaiqi Zhang 0003 — Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- Kaiqi Zhang 0004 — Chang'an University, Xi'an, China
- Kaiqi Zhang 0005 — Beijing University of Posts and Telecommunications, Multimedia Communication and Pattern Recognition Labs, China
- Kaiqi Zhang 0006 — Capital University of Physical Education and Sports, School of Dance and Martial Arts, Beijing, China
- Kaiqi Zhang 0007 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Kaiqi Zhang 0008 — Harbin Institute of Technology, School of Computer Science and Technology, China
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2020 – today
- 2024
- [i9]Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang:
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes. CoRR abs/2406.06838 (2024) - 2023
- [b1]Kaiqi Zhang:
Overparameterization in neural networks: from application to theory. University of California, Santa Barbara, USA, 2023 - [c10]Kaiqi Zhang, Yu-Xiang Wang:
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? ICLR 2023 - [i8]Kaiqi Zhang, Zixuan Zhang, Minshuo Chen, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang:
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks. CoRR abs/2307.01649 (2023) - 2022
- [i7]Kaiqi Zhang, Yu-Xiang Wang:
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? CoRR abs/2204.09664 (2022) - [i6]Kaiqi Zhang, Ming Yin, Yu-Xiang Wang:
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks. CoRR abs/2206.05916 (2022) - 2021
- [j5]Kaiqi Zhang, Cole Hawkins, Zheng Zhang:
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification. Frontiers Artif. Intell. 4: 668353 (2021) - [j4]Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang:
Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1864-1873 (2021) - [c9]Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao:
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration. ACM Great Lakes Symposium on VLSI 2021: 157-162 - [i5]Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang:
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. CoRR abs/2104.03420 (2021) - [i4]Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao:
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration. CoRR abs/2105.06250 (2021) - 2020
- [j3]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. SIAM J. Math. Data Sci. 2(4): 1096-1122 (2020) - [i3]Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang:
Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform. CoRR abs/2010.10638 (2020)
2010 – 2019
- 2019
- [j2]Roberto Proietti, Xiaoliang Chen, Kaiqi Zhang, Gengchen Liu, Mohammadsadegh Shamsabardeh, Alberto Castro, Luis Velasco, Zuqing Zhu, S. J. Ben Yoo:
Experimental Demonstration of Machine-Learning-Aided QoT Estimation in Multi-Domain Elastic Optical Networks with Alien Wavelengths. JOCN 11(1): A1-A10 (2019) - [c8]Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang:
Tucker Tensor Decomposition on FPGA. ICCAD 2019: 1-8 - [c7]Mathias Prost, Yi-Chun Ling, Semih Cakmakyapan, Yu Zhang, Kaiqi Zhang, Junjie Hu, Yichi Zhang, S. J. Ben Yoo:
MWIR Solid-State Optical Phased Array Beam Steering using Germanium-Silicon Photonic Platform. OFC 2019: 1-3 - [i2]Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang:
Tucker Tensor Decomposition on FPGA. CoRR abs/1907.01522 (2019) - [i1]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. CoRR abs/1910.13025 (2019) - 2018
- [j1]Roberto Proietti, Xian Xiao, Kaiqi Zhang, Gengchen Liu, Hongbo Lu, Pouya Fotouhi, J. Messig, S. J. Ben Yoo:
Experimental Demonstration of a 64-Port Wavelength Routing Thin-CLOS System for Data Center Switching Architectures. JOCN 10(7): B49-B57 (2018) - [c6]Xian Xiao, Roberto Proietti, Kaiqi Zhang, S. J. Ben Yoo:
Experimental Demonstration of Flex-LIONS for Reconfigurable All-to-All Optical Interconnects. ECOC 2018: 1-3 - [c5]Yu Zhang, Yi-Chun Ling, Kaiqi Zhang, S. J. Ben Yoo:
Sub-Wavelength-Pitch Silicon-Phatonic Optical Phased Array for Large Field-AF-Regard Coherent Optical Beam Steering. ECOC 2018: 1-3 - [c4]Gengchen Liu, Kaiqi Zhang, Xiaoliang Chen, Hongbo Lu, Jiannan Guo, Jie Yin, Roberto Proietti, Zuqing Zhu, S. J. Ben Yoo:
The First Testbed Demonstration of Cognitive End-to-End Optical Service Provisioning with Hierarchical Learning across Multiple Autonomous Systems. OFC 2018: 1-3 - [c3]Gengchen Liu, Kaiqi Zhang, Roberto Proietti, Hongbo Lu, Zhi Ding, S. J. Ben Yoo:
First Demonstration of FPGA-based Hitless Flexible Receiver with Blind Modulation Format Identification. OFC 2018: 1-3 - [c2]Hongbo Lu, Gengchen Liu, Roberto Proietti, Vincent Squitieri, Kaiqi Zhang, Alberto Castro, Qun Jane Gu, Zhi Ding, S. J. Ben Yoo:
mmWave Beamforming using Photonic Signal Processing for Future 5G Mobile Systems. OFC 2018: 1-3 - [c1]Roberto Proietti, Xiaoliang Chen, Alberto Castro, Gengchen Liu, Hongbo Lu, Kaiqi Zhang, Jiannan Guo, Zuqing Zhu, Luis Velasco, S. J. Ben Yoo:
Experimental Demonstration of Cognitive Provisioning and Alien Wavelength Monitoring in Multi-domain EON. OFC 2018: 1-3
Coauthor Index
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