Zerui Tao

According to our database, Zerui Tao authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation.

Guang Lin, Duc Thien Nguyen, Zerui Tao, Konstantinos Slavakis, Toshihisa Tanaka, Qibin Zhao

CoRR, February, 2025

SeWA: Selective Weight Average via Probabilistic Masking.

Peng Wang, Shengchao Hu, Zerui Tao, Guoxia Wang, Dianhai Yu, Li Shen, Quan Zheng, Dacheng Tao

CoRR, February, 2025

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models.

Zerui Tao, Yuhta Takida, Naoki Murata, Qibin Zhao, Yuki Mitsufuji

CoRR, January, 2025

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

Haixu Liu, Penghao Jiang, Zerui Tao

CoRR, January, 2025

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

Haixu Liu, Zerui Tao, Wenzhen Dong, Qiuzhuang Sun

CoRR, January, 2025

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

Haixu Liu, Zerui Tao, Naihui Zhang, Sixing Liu

CoRR, January, 2025

Adversarial guided diffusion models for adversarial purification.

Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao

Neural Networks, 2025

2024

Nonparametric tensor ring decomposition with scalable amortized inference.

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Neural Networks, January, 2024

A Unified Analysis for Finite Weight Averaging.

Peng Wang, Li Shen, Zerui Tao, Yan Sun, Guodong Zheng, Dacheng Tao

CoRR, 2024

Robust Diffusion Models for Adversarial Purification.

Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao

CoRR, 2024

Generalization Analysis of Stochastic Weight Averaging with General Sampling.

Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao

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.

Haixu Liu, Penghao Jiang, Zerui Tao, Muyan Wan, Qiuzhuang Sun

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.

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Undirected Probabilistic Model for Tensor Decomposition.

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

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.

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Permutation Search of Tensor Network Structures via Local Sampling.

Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao

Proceedings of the International Conference on Machine Learning, 2022

2021

Tensor Decomposition Via Core Tensor Networks.

Jianfu Zhang, Zerui Tao, Liqing Zhang, Qibin Zhao

Proceedings of the IEEE International Conference on Acoustics, 2021

Bayesian Latent Factor Model for Higher-order Data.

Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao

Proceedings of the Asian Conference on Machine Learning, 2021