2 citations · 2 across the 3 of their papers we have counts for
5 papers
Hidden Backdoor Attack on Deep Contrastive Clustering
Zifeng Zhou, Shengda Zhuo, Jiahui Huang +6
Deep contrastive clustering has become a representative paradigm for unsupervised image clustering, yet its security under training-time poisoning remains largely unexplored. This…
E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
Zelin Guan, Shengda Zhuo, Zeyan Li +4
Retrieval-Augmented Generation (RAG) equips large language models (LLMs) with external evidence by retrieving documents at inference time, but it also turns the retrieval corpusint…
Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features
Shengda Zhuo, Di Wu, Yi He +2
Online learning, where feature spaces can change over time, offers a flexible learning paradigm that has attracted considerable attention. However, it still faces three significant…
From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
Xiaotong Luo, Shengda Zhuo, Min Chen +5
Financial markets exhibit highly dynamic and complex behaviors shaped by both historical price trajectories and exogenous narratives, such as news, policy interpretations, and soci…
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
Shengda Zhuo, Jiwang Fang, Hongguang Lin +4
Graph Neural Networks (GNNs) have significant advantages in handling non-Euclidean data and have been widely applied across various areas, thus receiving increasing attention in re…