Bayesian Latent Factor Model for Higher-order Data. - Zerui Tao; Xuyang Zhao; Toshihisa Tanaka 001; Qibin Zhao (ACML, 2021)

Tensor Decomposition Via Core Tensor Networks. - Jianfu Zhang 003; Zerui Tao; Liqing Zhang 001; Qibin Zhao (ICASSP, 2021)

Permutation Search of Tensor Network Structures via Local Sampling. - Chao Li 013; Junhua Zeng; Zerui Tao; Qibin Zhao (ICML, 2022)

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (ICONIP (1), 2023)

Undirected Probabilistic Model for Tensor Decomposition. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (NeurIPS, 2023)

Efficient Nonparametric Tensor Decomposition for Binary and Count Data. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (AAAI, 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 (CLEF (Working Notes), 2024)

Generalization Analysis of Stochastic Weight Averaging with General Sampling. - Peng Wang; Li Shen 008; Zerui Tao; Shuaida He; Dacheng Tao (ICML, 2024)

Robust Diffusion Models for Adversarial Purification. - Guang Lin 002; Zerui Tao; Jianhai Zhang; Toshihisa Tanaka 001; Qibin Zhao (CoRR, 2024)

A Unified Analysis for Finite Weight Averaging. - Peng Wang; Li Shen 008; Zerui Tao; Yan Sun; Guodong Zheng; Dacheng Tao (CoRR, 2024)

Nonparametric tensor ring decomposition with scalable amortized inference. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (Neural Networks, 2024)

Adversarial guided diffusion models for adversarial purification. - Guang Lin 002; Zerui Tao; Jianhai Zhang; Toshihisa Tanaka 001; Qibin Zhao (Neural Networks, 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, 2025)

nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation. - Haixu Liu; Zerui Tao; Wenzhen Dong; Qiuzhuang Sun (CoRR, 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, 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, 2025)

SeWA: Selective Weight Average via Probabilistic Masking. - Peng Wang; Shengchao Hu; Zerui Tao; Guoxia Wang; Dianhai Yu; Li Shen 008; Quan Zheng; Dacheng Tao (CoRR, 2025)

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. - Guang Lin 002; Duc Thien Nguyen; Zerui Tao; Konstantinos Slavakis; Toshihisa Tanaka 001; Qibin Zhao (CoRR, 2025)