作者位次 #4/5ICML 2026Poster· Applications / Time Series
Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
Xu Zhang · Junwei Deng · Chang Xu · Hao Li · Jiang Bian
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Xu Zhang · Junwei Deng · Chang Xu · Hao Li · Jiang Bian
Hao Li · Jiayang Gu · Jingkuan Song · An Zhang · Lianli Gao
Mitigating the detrimental effects of noisy labels on the training process has become increasingly critical, as obtaining entirely clean or human-annotated samples for large-scale pre-training tasks is often impractical. Nonetheless, existing noise mitigation methods often encounter limitations i...
Li Li · Chenxiao Yu · Zhiyu Ni · Hao Li · Charith Peris · Chaowei Xiao · Yue Zhao
Large language models (LLMs) are increasingly deployed in security-sensitive applications, where they must follow system- or developer-specified instructions that define the intended task behavior, while completing benign user requests. When adversarial instructions appear in user queries or exte...
Peichun Hua · Hao Li · Shanghao Shi · Zhiyuan Yu · Ning Zhang
Large Vision-Language Models (LVLMs) are vulnerable to a growing array of multimodal jailbreak attacks, necessitating defenses that are both generalizable to novel threats and efficient for practical deployment. Many current strategies fall short, either targeting specific attack patterns, which...
Xu Zhang · Hao Li · Zhichao Lu
Multimodal Large Language Models (MLLMs) achieve strong reasoning and perception capabilities but are increasingly vulnerable to jailbreak attacks. While existing work focuses on explicit attacks, where malicious content resides in a single modality, recent studies reveal implicit attacks, in whi...