Interact with Show-Window at Stores: Exploratory Study and Design Solution for Physical Retailers' Product Demonstration. - Jianze Li; Andreas Hamacher; Daniel Waghorn; David G. Barnes; Stephen Jia Wang (ArtsIT/DLI, 2017)

In-Store Shopping Experience Enhancement: Designing a Physical Object-Recognition Interactive Renderer. - Jianze Li; Jun Liu; Stephen Jia Wang (ArtsIT/DLI, 2017)

Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization. - Jianze Li; Konstantin Usevich; Pierre Comon (SIAM J. Matrix Anal. Appl., 2018)

Point Cloud Denoising Based on Tensor Tucker Decomposition. - Jianze Li; Xiao-Ping (Steven) Zhang; Tuan Tran (ICIP, 2019)

Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech. - Li Liu 036; Jianze Li; Gang Feng 002; Xiao-Ping (Steven) Zhang (INTERSPEECH, 2019)

Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. - Jianze Li; Konstantin Usevich; Pierre Comon (CoRR, 2019)

Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation. - Jianze Li; Shuzhong Zhang (CoRR, 2019)

On the convergence of Jacobi-type algorithms for Independent Component Analysis. - Jianze Li; Konstantin Usevich; Pierre Comon (SAM, 2020)

Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. - Jianze Li; Konstantin Usevich; Pierre Comon (CoRR, 2020)

Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms. - Konstantin Usevich; Jianze Li; Pierre Comon (SIAM J. Optim., 2020)

Data-Free Backdoor Removal Based on Channel Lipschitzness. - Runkai Zheng; Rongjun Tang; Jianze Li; Li Liu 036 (ECCV (5), 2022)

Pre-activation Distributions Expose Backdoor Neurons. - Runkai Zheng; Rongjun Tang; Jianze Li; Li Liu 036 (NeurIPS, 2022)

TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks. - Taoyong Cui; Jianze Li; Yuhan Dong; Li Liu 036 (ECAI, 2023)

Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations. - Zhou Sheng; Jianze Li; Qin Ni (Math. Comput., 2023)

Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices. - Jianze Li; Konstantin Usevich; Pierre Comon (SIAM J. Matrix Anal. Appl., 2023)

Lightweight Image Captioning Model Based on Knowledge Distillation. - Zhenlei Cui; Zhenhua Tang; Jianze Li; Kai Chen (MMM (2), 2024)

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. - Weilin Lin; Li Liu 036; Shaokui Wei; Jianze Li; Hui Xiong (NeurIPS, 2024)

Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds. - Wentao Ding; Jianze Li; Shuzhong Zhang (CoRR, 2024)

Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution. - Jianze Li; Jiezhang Cao; Zichen Zou; Xiongfei Su; Xin Yuan 002; Yulun Zhang 001; Yong Guo; Xiaokang Yang 001 (CoRR, 2024)

Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications. - Wentao Ding; Jianze Li; Shuzhong Zhang (SIAM J. Matrix Anal. Appl., 2024)

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation. - Weilin Lin; Li Liu 036; Jianze Li; Hui Xiong (AAAI, 2025)

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution. - Libo Zhu; Jianze Li; Haotong Qin; Wenbo Li 002; Yulun Zhang 001; Yong Guo; Xiaokang Yang 001 (CVPR, 2025)

A sparse optimization approach for simultaneous orthogonal tensor diagonalization. - Xinying Li; Chao Chang; Jianze Li; Yuning Yang (Appl. Math. Comput., 2025)

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. - Jianze Li; Jiezhang Cao; Yong Guo; Wenbo Li 002; Yulun Zhang 001 (CoRR, 2025)

BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model. - Weilin Lin; Nanjun Zhou; Yanyun Wang 003; Jianze Li; Hui Xiong; Li Liu 036 (CoRR, 2025)