Bingxin Zhou

Orcid: 0000-0002-3897-9766

According to our database¹, Bingxin Zhou authored at least 35 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2025

Bridging asymmetry between image and video: Cross-modality knowledge transfer based on learning from video.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

2024

Graph Denoising With Framelet Regularizers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Two-Stream Temporal Feature Aggregation Based on Clustering for Few-Shot Action Recognition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Modeling Bellman-error with logistic distribution with applications in reinforcement learning.

[BibT_eX]

[DOI]

Outongyi Lv

Bingxin Zhou

Lin F. Yang

Neural Networks, 2024

Protein Engineering with Lightweight Graph Denoising Neural Networks.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Two-stream joint matching method based on contrastive learning for few-shot action recognition.

[BibT_eX]

[DOI]

CoRR, 2024

PROTSOLM: Protein Solubility Prediction with Multi-modal Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks.

[BibT_eX]

[DOI]

CoRR, 2023

LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning.

[BibT_eX]

[DOI]

Outongyi Lv

Bingxin Zhou

Yu Guang Wang

CoRR, 2023

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Representation Learning for Interactive Biomolecule Systems.

[BibT_eX]

[DOI]

Xinye Xiong

Bingxin Zhou

Yuguang Wang

CoRR, 2023

Framelet Message Passing.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Graph Representation Learning for Local Corruption Recovery.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Graph Denoising Diffusion for Inverse Protein Folding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Embedding graphs on Grassmann manifold.

[BibT_eX]

[DOI]

Neural Networks, 2022

Decimated Framelet System on Graphs and Fast G-Framelet Transforms.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Graph Neural Network for Local Corruption Recovery.

[BibT_eX]

[DOI]

CoRR, 2022

APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Well-Conditioned Spectral Transforms for Dynamic Graph Representation.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

2021

Manifold Optimization-Assisted Gaussian Variational Approximation.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2021

Spectral Transform Forms Scalable Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Denoising with Framelet Regularizer.

[BibT_eX]

[DOI]

CoRR, 2021

How Framelets Enhance Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.

[BibT_eX]

[DOI]

CoRR, 2020

ADAMT: A Stochastic Optimization with Trend Correction Scheme.

[BibT_eX]

[DOI]

Bingxin Zhou

Xuebin Zheng

Junbin Gao

CoRR, 2020

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods.

[BibT_eX]

[DOI]

Bingxin Zhou

Xuebin Zheng

Junbin Gao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Manifold Optimisation Assisted Gaussian Variational Approximation.

[BibT_eX]

[DOI]

CoRR, 2019

Bingxin Zhou

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