Qizhang Li

According to our database, Qizhang Li authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models.

Xuyang Zhong, Qizhang Li, Yiwen Guo, Chen Liu

CoRR, May, 2026

Improving Transferability of Adversarial Examples via Bayesian Attacks.

Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen

IEEE Trans. Circuits Syst. Video Technol., March, 2026

DiMAE: A state-space modeling framework for semi-supervised community detection via geometry-regularized similarity diffusion.

Yuxian Ke, Yi Sun, Qizhang Li, Hongrui Zhang, Qiyue Zhang, Tao Deng, Shuwan Wang, Limengzi Yuan, Dongqin Zhu

Knowl. Based Syst., 2026

2025

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection.

Weijun Zhuang, Qizhang Li, Xin Li, Ming Liu, Xiaopeng Hong, Feng Gao, Fan Yang, Wangmeng Zuo

CoRR, April, 2025

Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process.

Yuanze Li, Shihao Yuan, Haolin Wang, Qizhang Li, Ming Liu, Chen Xu, Guangming Shi, Wangmeng Zuo

CoRR, March, 2025

Enhancing visual adversarial transferability via affine transformation of intermediate-level perturbations.

Qizhang Li, Yiwen Guo, Wangmeng Zuo

Pattern Recognit. Lett., 2025

DualAug: Exploiting additional heavy augmentation with OOD data rejection.

Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo

Neurocomputing, 2025

Triad: Empowering LMM-Based Anomaly Detection with Expert-Guided Region-of-Interest Tokenizer and Manufacturing Process.

Yuanze Li, Shihao Yuan, Haolin Wang, Qizhang Li, Ming Liu, Chen Xu, Guangming Shi, Wangmeng Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation.

Qizhang Li, Xiaochen Yang, Wangmeng Zuo, Yiwen Guo

CoRR, 2024

Improved Generation of Adversarial Examples Against Safety-aligned LLMs.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

An Intermediate-Level Attack Framework on the Basis of Linear Regression.

Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Improving Adversarial Transferability by Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Squeeze Training for Adversarial Robustness.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Collaborative Adversarial Training.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2022

On Steering Multi-Annotations per Sample for Multi-Task Learning.

Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo

CoRR, 2022

Adversarial Contrastive Learning via Asymmetric InfoNCE.

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Practical No-box Adversarial Attacks against DNNs.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Backpropagating Linearly Improves Transferability of Adversarial Examples.

Yiwen Guo, Qizhang Li, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Yet Another Intermediate-Level Attack.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Computer Vision - ECCV 2020, 2020