5 papers
SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification
Mingze Ni, Wei Liu
An effective integration of rich feature representations with robust classification mechanisms remains a key challenge in visual understanding tasks. This study introduces two nove…
Neural Federated Learning for Livestock Growth Prediction
Shoujin Wang, Mingze Ni, Wei Liu +6
Livestock growth prediction is essential for optimising farm management and improving the efficiency and sustainability of livestock production, yet it remains underexplored due to…
Cross-Entropy Attacks to Language Models via Rare Event Simulation
Mingze Ni, Yongshun Gong, Wei Liu
Black-box textual adversarial attacks are challenging due to the lack of model information and the discrete, non-differentiable nature of text. Existing methods often lack versatil…
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
Jiyao Li, Mingze Ni, Yifei Dong +2
Recent advances in deep learning research have shown remarkable achievements across many tasks in computer vision (CV) and natural language processing (NLP). At the intersection of…
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
Jiyao Li, Mingze Ni, Yongshun Gong +1
Deep learning underpins most of the currently advanced natural language processing (NLP) tasks such as textual classification, neural machine translation (NMT), abstractive summari…