Mingli Zhu - RankMe

19 papers A* 5Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Baoyuan Wu, Mingli Zhu, Meixi Zheng, Zihao Zhu, Shaokui Wei, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2025	J	`jnl`	BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. Int. J. Comput. Vis. Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
2025	J	`jnl`	BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation. CoRR Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao, Pengfei Wan, Baoyuan Wu
2025	J	`jnl`	Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2025	A*	`conf`	Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift. CVPR Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao
2024	—	`conf`	A Comparative Study of Algorithm Usage in Library and Information Science Research: China vs. Other Countries. JCDL Mingli Zhu, Ruinan Li, Yuzhuo Wang
2024	J	`jnl`	BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
2024	A*	`conf`	BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang
2024	A*	`conf`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. NeurIPS Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. CoRR Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu
2024	J	`jnl`	Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization. CoRR Mingda Zhang, Mingli Zhu, Zihao Zhu, Baoyuan Wu
2023	J	`jnl`	Defenses in Adversarial Machine Learning: A Survey. CoRR Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2023	J	`jnl`	Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023	A*	`conf`	Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023	A*	`conf`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2022	—	`conf`	Indoor localization algorithm based on Bluetooth location fingerprinting and CNN. RICAI Mingli Zhu, Hongfang Lv
2022	J	`jnl`	Rethinking Data Augmentation in Knowledge Distillation for Object Detection. CoRR Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao