Zihao Zhu - RankMe

25 papers A* 3Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attacks in Adversarial Machine Learning: A Systematic Survey from the Lifecycle Perspective. Int. J. Comput. Vis. Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2026	J	`jnl`	BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation. CoRR Zihao Zhu, Ruotong Wang, Siwei Lyu, Min Zhang, Baoyuan Wu
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
2026	J	`jnl`	Unveiling Covert Toxicity in Multimodal Data via Toxicity Association Graphs: A Graph-Based Metric and Interpretable Detection Framework. CoRR Guanzong Wu, Zihao Zhu, Siwei Lyu, Baoyuan Wu
2026	J	`jnl`	Versatile Backdoor Attack With Visible, Semantic, Sample-Specific and Compatible Triggers. IEEE Trans. Pattern Anal. Mach. Intell. Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Baoyuan Wu
2025	J	`jnl`	AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models. CoRR Zihao Zhu, Xinyu Wu, Gehan Hu, Siwei Lyu, Ke Xu, Baoyuan Wu
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`	BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu
2025	J	`jnl`	BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack. CoRR Zihao Zhu, Hongbao Zhang, Mingda Zhang, Ruotong Wang, Guanzong Wu, Ke Xu, Baoyuan Wu
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	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`	HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing. CoRR Zihao Zhu, Hongbao Zhang, Guanzong Wu, Siwei Lyu, Baoyuan Wu
2024	A*	`conf`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, 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
2024	J	`jnl`	RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. CoRR Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu
2024	A*	`conf`	VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2023	J	`jnl`	Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. CoRR Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2023	J	`jnl`	BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks. CoRR Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu
2023	J	`jnl`	Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, 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`	Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. CoRR Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu
2023	J	`jnl`	VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2022	A*	`conf`	BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen
2022	J	`jnl`	BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
2022	J	`jnl`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu