Dai Shi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Manifold Learning

Top Venues

Trans. Mach. Learn. Res.

IEEE J. Sel. Areas Commun.

Publications

Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
Unleash Graph Neural Networks from Heavy Tuning. CoRR (2024)
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) (2024)
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) (2024)
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 (2024)
Lequan Lin, Dai Shi, Andi Han, Junbin Gao
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR (2024)
Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
Bregman Graph Neural Network. ICASSP (2024)
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)
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)
Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
Frameless Graph Knowledge Distillation. CoRR (2023)
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)
Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
Bregman Graph Neural Network. CoRR (2023)
Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR (2023)
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 (2023)
Andi Han, Dai Shi, Lequan Lin, Junbin Gao
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR (2023)
Dai Shi, Andi Han, Yi Guo, Junbin Gao
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN (2023)
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 (2023)
Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR (2023)
Dai Shi
TransNeXt: Robust Foveal Visual Perception for Vision Transformers. CoRR (2023)
Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao
Generalized energy and gradient flow via graph framelets. CoRR (2022)
Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao
Generalized Laplacian Regularized Framelet GCNs. CoRR (2022)
Dai Shi, Dan Tao, Jiangtao Wang, Muyan Yao, Zhibo Wang, Houjin Chen, Sumi Helal
Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (1) (2021)
Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. 110 (3) (2021)
Dai Shi, Andi Han, Yi Guo, Junbin Gao
A Discussion On the Validity of Manifold Learning. CoRR (2021)
Dai Shi, Dan Tao
Sensor Fusion Based Implicit Authentication for Smartphones. CWSN (2020)
Xianzhe Dong, Xinyi He, Tianlin Liang, Dai Shi, Dan Tao
Entropy based Security Rating Evaluation Scheme for Pattern Lock. ICCE-TW (2020)
Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR (2019)
Jian Wang, Aixiang Jin, Dai Shi, Lei Wang, Liang Hu, Liang Gu, Anass Benjebbour
Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems. VTC Spring (2018)
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)
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 (2018)
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) (2017)
Jinfang Zhang, Wenliang Liang, Jianjun Wu, Dai Shi
A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks. VTC Spring (2010)