Zerui Tao

Orcid: 0009-0003-9230-721X

According to our database1, Zerui Tao authored at least 20 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hyperspectral and Multispectral Image Fusion via Neural Tensor Decomposition With Factor Alignment.
IEEE Access, 2026

2025
Calibrating Uncertainty for Zero-Shot Adversarial CLIP.
CoRR, December, 2025

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation.
CoRR, February, 2025

SeWA: Selective Weight Average via Probabilistic Masking.
CoRR, February, 2025

Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model.
CoRR, January, 2025

nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation.
CoRR, January, 2025

Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision.
CoRR, January, 2025

Adversarial guided diffusion models for adversarial purification.
Neural Networks, 2025

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Nonparametric tensor ring decomposition with scalable amortized inference.
Neural Networks, January, 2024

A Unified Analysis for Finite Weight Averaging.
CoRR, 2024

Robust Diffusion Models for Adversarial Purification.
CoRR, 2024

Generalization Analysis of Stochastic Weight Averaging with General Sampling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Efficient Nonparametric Tensor Decomposition for Binary and Count Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Undirected Probabilistic Model for Tensor Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Permutation Search of Tensor Network Structures via Local Sampling.
Proceedings of the International Conference on Machine Learning, 2022

2021
Tensor Decomposition Via Core Tensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bayesian Latent Factor Model for Higher-order Data.
Proceedings of the Asian Conference on Machine Learning, 2021


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