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Dai Shi
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2020 – today
- 2024
- [j8]Ping Liu, Dai Shi, Bin Zang, Xiang Liu:
Students health physique information sharing in publicly collaborative services over edge-cloud networks. J. Cloud Comput. 13(1): 98 (2024) - [j7]Zhiqi Shao
, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao:
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15(4): 1553-1573 (2024) - [j6]Andi Han, Dai Shi, Lequan Lin, Junbin Gao:
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Dai Shi:
TransNeXt: Robust Foveal Visual Perception for Vision Transformers. CVPR 2024: 17773-17783 - [c8]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. ICASSP 2024: 6250-6254 - [i19]Lequan Lin, Dai Shi, Andi Han, Junbin Gao:
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR abs/2401.08119 (2024) - [i18]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao:
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR abs/2401.14580 (2024) - [i17]Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Unleash Graph Neural Networks from Heavy Tuning. CoRR abs/2405.12521 (2024) - [i16]Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao:
Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. CoRR abs/2409.05047 (2024) - [i15]Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao:
A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR abs/2409.10085 (2024) - [i14]Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao:
When Graph Neural Networks Meet Dynamic Mode Decomposition. CoRR abs/2410.05593 (2024) - [i13]Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. CoRR abs/2410.05697 (2024) - 2023
- [c7]Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao:
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML 2023: 1199-1214 - [c6]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN 2023: 1-9 - [i12]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR abs/2305.15639 (2023) - [i11]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i10]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i9]Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao:
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR abs/2309.02769 (2023) - [i8]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. CoRR abs/2309.06645 (2023) - [i7]Andi Han, Dai Shi, Lequan Lin, Junbin Gao:
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR abs/2310.10121 (2023) - [i6]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao:
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR abs/2311.07073 (2023) - [i5]Dai Shi:
TransNeXt: Robust Foveal Visual Perception for Vision Transformers. CoRR abs/2311.17132 (2023) - 2022
- [i4]Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao:
Generalized energy and gradient flow via graph framelets. CoRR abs/2210.04124 (2022) - [i3]Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao:
Generalized Laplacian Regularized Framelet GCNs. CoRR abs/2210.15092 (2022) - 2021
- [j4]Dai Shi, Dan Tao, Jiangtao Wang
Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 33:1-33:30 (2021) - [j3]Dai Shi, Junbin Gao
Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. 110(3): 533-558 (2021) - [i2]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
A Discussion On the Validity of Manifold Learning. CoRR abs/2106.01608 (2021) - 2020
- [c5]Dai Shi, Dan Tao:
Sensor Fusion Based Implicit Authentication for Smartphones. CWSN 2020: 157-168 - [c4]Xianzhe Dong, Xinyi He, Tianlin Liang, Dai Shi, Dan Tao:
Entropy based Security Rating Evaluation Scheme for Pattern Lock. ICCE-TW 2020: 1-2
2010 – 2019
- 2019
- [i1]Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR abs/1911.06905 (2019) - 2018
- [j2]Lei Wang, Guangqiang Chen, Dai Shi, Yan Chang, Sixian Chan, Jiantao Pu, Xiaodong Yang:
Active contours driven by edge entropy fitting energy for image segmentation. Signal Process. 149: 27-35 (2018) - [c3]Jian Wang
Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems. VTC Spring 2018: 1-5 - [c2]Manuel Cubero-Castan, Klaus Schneider-Zapp, Massimiliano Bellomo, Dai Shi, Martin Rehak, Christoph Strecha:
Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software. WHISPERS 2018: 1-4 - 2017
- [j1]Jian Wang, Aixiang Jin, Dai Shi, Lei Wang, Hui Shen, Dan Wu, Liang Hu, Liang Gu, Lei Lu, Yan Chen, Jun Wang, Yuya Saito, Anass Benjebbour, Yoshihisa Kishiyama:
Spectral Efficiency Improvement With 5G Technologies: Results From Field Tests. IEEE J. Sel. Areas Commun. 35(8): 1867-1875 (2017) - 2010
- [c1]Jinfang Zhang, Wenliang Liang, Jianjun Wu, Dai Shi:
A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks. VTC Spring 2010: 1-5
Coauthor Index
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last updated on 2024-11-19 21:41 CET by the dblp team
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