Jianze Li - RankMe

39 papers A* 5A 2B 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A sparse optimization approach for simultaneous orthogonal tensor diagonalization. Appl. Math. Comput. Xinying Li, Chao Chang, Jianze Li, Yuning Yang
2025	J	`jnl`	Asymmetric VAE for One-Step Video Super-Resolution Acceleration. CoRR Jianze Li, Yong Guo, Yulun Zhang, Xiaokang Yang
2025	J	`jnl`	BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model. CoRR Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu
2025	A*	`conf`	Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation. AAAI Weilin Lin, Li Liu, Jianze Li, Hui Xiong
2025	A*	`conf`	One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. ICML Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
2025	J	`jnl`	One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. CoRR Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
2025	A*	`conf`	PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution. CVPR Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang
2025	J	`jnl`	SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering. CoRR Weilin Lin, Jianze Li, Hui Xiong, Li Liu
2024	J	`jnl`	Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds. CoRR Wentao Ding, Jianze Li, Shuzhong Zhang
2024	J	`jnl`	Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution. CoRR Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang
2024	J	`jnl`	Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation. CoRR Weilin Lin, Li Liu, Jianze Li, Hui Xiong
2024	—	`conf`	Lightweight Image Captioning Model Based on Knowledge Distillation. MMM (2) Zhenlei Cui, Zhenhua Tang, Jianze Li, Kai Chen
2024	J	`jnl`	PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution. CoRR Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang
2024	J	`jnl`	Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications. SIAM J. Matrix Anal. Appl. Wentao Ding, Jianze Li, Shuzhong Zhang
2024	A*	`conf`	Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. NeurIPS Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong
2024	J	`jnl`	Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. CoRR Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong
2023	J	`jnl`	Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices. SIAM J. Matrix Anal. Appl. Jianze Li, Konstantin Usevich, Pierre Comon
2023	J	`jnl`	Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations. Math. Comput. Zhou Sheng, Jianze Li, Qin Ni
2023	A	`conf`	TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks. ECAI Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu
2022	—	`conf`	Data-Free Backdoor Removal Based on Channel Lipschitzness. ECCV (5) Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu
2022	J	`jnl`	Data-free Backdoor Removal based on Channel Lipschitzness. CoRR Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu
2022	A*	`conf`	Pre-activation Distributions Expose Backdoor Neurons. NeurIPS Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu
2022	J	`jnl`	Projectively and weakly simultaneously diagonalizable matrices and their applications. CoRR Wentao Ding, Jianze Li, Shuzhong Zhang
2022	J	`jnl`	TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks. CoRR Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu
2021	J	`jnl`	Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations. CoRR Zhou Sheng, Jianze Li, Qin Ni
2020	J	`jnl`	Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms. SIAM J. Optim. Konstantin Usevich, Jianze Li, Pierre Comon
2020	J	`jnl`	Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2020	—	`conf`	On the convergence of Jacobi-type algorithms for Independent Component Analysis. SAM Jianze Li, Konstantin Usevich, Pierre Comon
2019	J	`jnl`	Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. CoRR Konstantin Usevich, Jianze Li, Pierre Comon
2019	A	`conf`	Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech. INTERSPEECH Li Liu, Jianze Li, Gang Feng, Xiao-Ping (Steven) Zhang
2019	J	`jnl`	Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2019	J	`jnl`	On the convergence of Jacobi-type algorithms for Independent Component Analysis. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2019	B	`conf`	Point Cloud Denoising Based on Tensor Tucker Decomposition. ICIP Jianze Li, Xiao-Ping (Steven) Zhang, Tuan Tran
2019	J	`jnl`	Point cloud denoising based on tensor Tucker decomposition. CoRR Jianze Li, Xiao-Ping (Steven) Zhang, Tuan Tran
2019	J	`jnl`	Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation. CoRR Jianze Li, Shuzhong Zhang
2018	J	`jnl`	Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization. SIAM J. Matrix Anal. Appl. Jianze Li, Konstantin Usevich, Pierre Comon
2017	J	`jnl`	Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2017	—	`conf`	In-Store Shopping Experience Enhancement: Designing a Physical Object-Recognition Interactive Renderer. ArtsIT/DLI Jianze Li, Jun Liu, Stephen Jia Wang
2017	—	`conf`	Interact with Show-Window at Stores: Exploratory Study and Design Solution for Physical Retailers' Product Demonstration. ArtsIT/DLI Jianze Li, Andreas Hamacher, Daniel Waghorn, David G. Barnes, Stephen Jia Wang