A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks. - Jinfang Zhang; Wenliang Liang; Jianjun Wu; Dai Shi (VTC Spring, 2010)

Spectral Efficiency Improvement With 5G Technologies: Results From Field Tests. - Jian Wang 001; Aixiang Jin; Dai Shi; Lei Wang 160; Hui Shen; Dan Wu; Liang Hu; Liang Gu; Lei Lu; Yan Chen 010; Jun Wang 062; Yuya Saito; et al. (IEEE J. Sel. Areas Commun., 2017)

Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems. - Jian Wang 001; Aixiang Jin; Dai Shi; Lei Wang 160; Liang Hu; Liang Gu; Anass Benjebbour (VTC Spring, 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 (WHISPERS, 2018)

Active contours driven by edge entropy fitting energy for image segmentation. - Lei Wang 163; Guangqiang Chen; Dai Shi; Yan Chang; Sixian Chan; Jiantao Pu; Xiaodong Yang 005 (Signal Process., 2018)

Coupling Matrix Manifolds and Their Applications in Optimal Transport. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (CoRR, 2019)

Sensor Fusion Based Implicit Authentication for Smartphones. - Dai Shi; Dan Tao (CWSN, 2020)

Entropy based Security Rating Evaluation Scheme for Pattern Lock. - Xianzhe Dong; Xinyi He; Tianlin Liang; Dai Shi; Dan Tao (ICCE-TW, 2020)

A Discussion On the Validity of Manifold Learning. - Dai Shi; Andi Han; Yi Guo 001; Junbin Gao (CoRR, 2021)

Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones. - Dai Shi; Dan Tao; Jiangtao Wang 001; Muyan Yao; Zhibo Wang 001; Houjin Chen; Sumi Helal (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Coupling matrix manifolds assisted optimization for optimal transport problems. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (Mach. Learn., 2021)

Generalized energy and gradient flow via graph framelets. - Andi Han; Dai Shi; Zhiqi Shao; Junbin Gao (CoRR, 2022)

Generalized Laplacian Regularized Framelet GCNs. - Zhiqi Shao; Andi Han; Dai Shi; Andrey Vasnev; Junbin Gao (CoRR, 2022)

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. - Dai Shi; Zhiqi Shao; Andi Han; Yi Guo 001; Junbin Gao (ACML, 2023)

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. - Dai Shi; Andi Han; Yi Guo 001; Junbin Gao (IJCNN, 2023)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Frameless Graph Knowledge Distillation. - Dai Shi; Zhiqi Shao; Yi Guo 001; Junbin Gao (CoRR, 2023)

How Curvature Enhance the Adaptation Power of Framelet GCNs. - Dai Shi; Yi Guo 001; Zhiqi Shao; 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 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. - Dai Shi; Andi Han; Lequan Lin; Yi Guo 001; Junbin Gao (CoRR, 2023)

TransNeXt: Robust Foveal Visual Perception for Vision Transformers. - Dai Shi (CVPR, 2024)

Bregman Graph Neural Network. - Jiayu Zhai; Lequan Lin; Dai Shi; Junbin Gao (ICASSP, 2024)

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. - Lequan Lin; Dai Shi; Andi Han; Junbin Gao (CoRR, 2024)

Unleash Graph Neural Networks from Heavy Tuning. - Lequan Lin; Dai Shi; Andi Han; Zhiyong Wang 001; Junbin Gao (CoRR, 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)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (Trans. Mach. Learn. Res., 2024)

Enhancing framelet GCNs with generalized p-Laplacian regularization. - Zhiqi Shao; Dai Shi; Andi Han; Andrey Vasnev; Yi Guo 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 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., 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 (BIOSTEC (1), 2025)

A Riemannian Approach to Ground Metric Learning for Optimal Transport. - Pratik Jawanpuria; Dai Shi; Bamdev Mishra; Junbin Gao (ICASSP, 2025)

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. - Lequan Lin; Dai Shi; Andi Han; Zhiyong Wang 001; Junbin Gao (ICLR, 2025)

When Graph Neural Networks Meet Dynamic Mode Decomposition. - Dai Shi; Lequan Lin; Andi Han; Zhiyong Wang 001; Yi Guo 001; Junbin Gao (ICLR, 2025)

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond. - Dai Shi; Kuan Yan; Lequan Lin; Yue Zeng; Ting Zhang; Dmytro Matsypura; Mark C. Gillies; Ling Zhu; Junbin Gao (CoRR, 2025)

Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. - Dai Shi; Andi Han; Lequan Lin; Yi Guo 001; Zhiyong Wang 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)

Quasi-framelets: robust graph neural networks via adaptive framelet convolution. - Mengxi Yang; Dai Shi; Xuebin Zheng; Jie Yin 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)

MAGI-1: Autoregressive Video Generation at Scale. - Hansi Teng; Hongyu Jia; Lei Sun; Lingzhi Li 017; Maolin Li; Mingqiu Tang; Shuai Han; Tianning Zhang; W. Q. Zhang; Weifeng Luo; Xiaoyang Kang 004; Yuchen Sun; et al. (CoRR, 2025)

Frameless Graph Knowledge Distillation. - Dai Shi; Zhiqi Shao; Junbin Gao; Zhiyong Wang 001; Yi Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)