Author

Zhenliang Ni

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Preprint Aug 2026

Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection

Zero-shot anomaly detection (ZSAD) has gained significant attention for its practical value in industrial inspection. Recently, CLIP-based approaches have been widely adopted in ZSAD due to their strong vision-language generalization capabilities. However, existing methods commonly employ continuous prompt embeddings f...

Si-Si Zhu, Chang-Wei Yu, Renshuai Tao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression

Recently, multimodal large-scale reasoning models have demonstrated remarkable capabilities in solving complex tasks through long Chains-of-Thought (M-CoT). However, excessively long reasoning trajectories incur substantial computational costs and significant KV-cache pressure. Existing CoT compression and alignment pa...

Guang-Heng Yang, Zhen-Liang Ni, Zhen-Kai Wu et al. · 0 citations

Preprint Aug 2026

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models

This work introduces an adaptive visual token selection strategy for VLMs that leverages average text-to-visual attention scores to assess the importance of visual tokens, removing redundant ones during pruning based on a set threshold, thereby optimizing the importance calculation.

Yaozhi Wen, Jialong Guo, Zhen-Liang Ni et al. · 0 citations

Jul 2026

Spike-EIFNet: Lightweight Spike-Driven Event-Image Fusion Network for Accurate and Efficient Semantic Segmentation.

This work proposes a lightweight spiking neural network (SNN)-based event-image fusion network (Spike-EIFNet) that leverages the complementary strengths of multimodal fusion and energy-efficient spike-driven computation, and significantly reduces energy consumption.

Siyu Chen, Qie Liu, Xianlei Long et al. · IEEE Transactions on Neural... · 0 citations