Dai Shi

According to our database, Dai Shi authored at least 33 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Students health physique information sharing in publicly collaborative services over edge-cloud networks.

Ping Liu, Dai Shi, Bin Zang, Xiang Liu

J. Cloud Comput., December, 2024

Enhancing framelet GCNs with generalized p-Laplacian regularization.

Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao

Int. J. Mach. Learn. Cybern., April, 2024

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion.

Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao

Trans. Mach. Learn. Res., 2024

From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.

Andi Han, Dai Shi, Lequan Lin, Junbin Gao

Trans. Mach. Learn. Res., 2024

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning.

Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao

CoRR, 2024

When Graph Neural Networks Meet Dynamic Mode Decomposition.

Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao

CoRR, 2024

A Riemannian Approach to Ground Metric Learning for Optimal Transport.

Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao

CoRR, 2024

Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration.

Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao

CoRR, 2024

Unleash Graph Neural Networks from Heavy Tuning.

Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao

CoRR, 2024

Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks.

Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao

CoRR, 2024

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting.

Lequan Lin, Dai Shi, Andi Han, Junbin Gao

CoRR, 2024

Bregman Graph Neural Network.

Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

TransNeXt: Robust Foveal Visual Perception for Vision Transformers.

Dai Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.

Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao

CoRR, 2023

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.

Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao

CoRR, 2023

How Curvature Enhance the Adaptation Power of Framelet GCNs.

Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao

CoRR, 2023

Frameless Graph Knowledge Distillation.

Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao

CoRR, 2023

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.

Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao

CoRR, 2023

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm.

Dai Shi, Andi Han, Yi Guo, Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2023

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.

Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Generalized Laplacian Regularized Framelet GCNs.

Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao

CoRR, 2022

Generalized energy and gradient flow via graph framelets.

Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao

CoRR, 2022

2021

Coupling matrix manifolds assisted optimization for optimal transport problems.

Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang

Mach. Learn., 2021

Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones.

Dai Shi, Dan Tao, Jiangtao Wang, Muyan Yao, Zhibo Wang, Houjin Chen, Sumi Helal

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

A Discussion On the Validity of Manifold Learning.

Dai Shi, Andi Han, Yi Guo, Junbin Gao

CoRR, 2021

2020

Entropy based Security Rating Evaluation Scheme for Pattern Lock.

Xianzhe Dong, Xinyi He, Tianlin Liang, Dai Shi, Dan Tao

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020

Sensor Fusion Based Implicit Authentication for Smartphones.

Dai Shi, Dan Tao

Proceedings of the Wireless Sensor Networks - 14th China Conference, 2020

2019

Coupling Matrix Manifolds and Their Applications in Optimal Transport.

Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang

CoRR, 2019

2018

Active contours driven by edge entropy fitting energy for image segmentation.

Lei Wang, Guangqiang Chen, Dai Shi, Yan Chang, Sixian Chan, Jiantao Pu, Xiaodong Yang

Signal Process., 2018

Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software.

Manuel Cubero-Castan, Klaus Schneider-Zapp, Massimiliano Bellomo, Dai Shi, Martin Rehak, Christoph Strecha

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems.

Jian Wang, Aixiang Jin, Dai Shi, Lei Wang, Liang Hu, Liang Gu, Anass Benjebbour

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

2017

Spectral Efficiency Improvement With 5G Technologies: Results From Field Tests.

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

IEEE J. Sel. Areas Commun., 2017

2010

A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks.

Jinfang Zhang, Wenliang Liang, Jianjun Wu, Dai Shi

Proceedings of the 71st IEEE Vehicular Technology Conference, 2010