4 citations · 4 across the 5 of their papers we have counts for
5 papers
AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
Yifei Yao, Hanrong Zhang, Mengnan Du
Understanding the internal representations of large language models (LLMs) remains a central challenge for interpretability research. Sparse autoencoders (SAEs) offer a promising s…
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application
Hanrong Zhang, Xinyue Wang, Jiabao Pan +1
Knowledge graph (KG) technology is extensively utilized in many areas, and many companies offer applications based on KG. Nonetheless, most KG platforms necessitate expertise and t…
Invisible Backdoor Attack against Self-supervised Learning
Hanrong Zhang, Zhenting Wang, Boheng Li +7
Self-supervised learning (SSL) models are vulnerable to backdoor attacks. Existing backdoor attacks that are effective in SSL often involve noticeable triggers, like colored patche…
Generalized Out-of-distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning
Xingyue Wang, Hanrong Zhang, Xinlong Qiao +4
Fault diagnosis is crucial in monitoring machines within industrial processes. With the increasing complexity of working conditions and demand for safety during production, diverse…
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Peng Peng, Hanrong Zhang, Mengxuan Li +3
Intelligent fault diagnosis has made extraordinary advancements currently. Nonetheless, few works tackle class-incremental learning for fault diagnosis under limited fault data, i.…