Jianze Li

Orcid: 0000-0002-0760-7994

According to our database1, Jianze Li authored at least 22 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
A sparse optimization approach for simultaneous orthogonal tensor diagonalization.
Appl. Math. Comput., 2025

2024
Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications.
SIAM J. Matrix Anal. Appl., March, 2024

Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution.
CoRR, 2024

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation.
CoRR, 2024

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness.
CoRR, 2024

Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds.
CoRR, 2024

Lightweight Image Captioning Model Based on Knowledge Distillation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices.
SIAM J. Matrix Anal. Appl., June, 2023

Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations.
Math. Comput., April, 2023

TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Pre-activation Distributions Expose Backdoor Neurons.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data-Free Backdoor Removal Based on Channel Lipschitzness.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms.
SIAM J. Optim., 2020

Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices.
CoRR, 2020

On the convergence of Jacobi-type algorithms for Independent Component Analysis.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019
Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation.
CoRR, 2019

Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis.
CoRR, 2019

Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Point Cloud Denoising Based on Tensor Tucker Decomposition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization.
SIAM J. Matrix Anal. Appl., 2018

2017
In-Store Shopping Experience Enhancement: Designing a Physical Object-Recognition Interactive Renderer.
Proceedings of the Interactivity, Game Creation, Design, Learning, and Innovation, 2017

Interact with Show-Window at Stores: Exploratory Study and Design Solution for Physical Retailers' Product Demonstration.
Proceedings of the Interactivity, Game Creation, Design, Learning, and Innovation, 2017


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