ORCID as entered in ROS
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Select Publications
2024, GROD: Enhancing Generalization of Transformer with Out-of-Distribution Detection, , http://arxiv.org/abs/2406.12915v1
,2024, A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding, , http://arxiv.org/abs/2406.05540v1
,2023, Graph Denoising Diffusion for Inverse Protein Folding, , http://arxiv.org/abs/2306.16819v2
,2023, Framelet Message Passing, , http://arxiv.org/abs/2302.14806v1
,2022, How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images, , http://arxiv.org/abs/2206.07599v1
,2022, ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition, , http://arxiv.org/abs/2206.05437v3
,2022, Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks, , http://arxiv.org/abs/2206.00228v1
,2022, Robust Graph Representation Learning for Local Corruption Recovery, , http://arxiv.org/abs/2202.04936v4
,2021, Spectral Transform Forms Scalable Transformer, , http://arxiv.org/abs/2111.07602v1
,2021, Graph Denoising with Framelet Regularizer, , http://arxiv.org/abs/2111.03264v1
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