Shi, Dai

10 publications

NeurIPS 2025 ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking Lequan Lin, Dai Shi, Andi Han, Feng Chen, Qiuzheng Chen, Jiawen Li, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Junbin Gao

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

ICLRW 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, Jialing Zhang, Matsypura Dmytro, Mark C. Gillies, Ling Zhu, Junbin Gao

ICLRW 2025 SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting Lequan Lin, Dai Shi, Andi Han, Junbin Gao

ICLR 2025 When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao

TMLR 2024 From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han, Dai Shi, Lequan Lin, Junbin Gao

TMLR 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

CVPR 2024 TransNeXt: Robust Foveal Visual Perception for Vision Transformers Dai Shi

ACML 2023 A New Perspective on the Expressive Equivalence Between Graph Convolution and Attention Models Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Gao Junbin

MLJ 2021 Coupling Matrix Manifolds Assisted Optimization for Optimal Transport Problems Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang