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Jia-Lie Shen

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TRAG-DPO: Enhancing Visual Question Answering in Tomato Disease Diagnosis via Hybrid Retrieval and DPO-Based Preference Alignment

Advances in intelligent vision systems have advanced tomato disease diagnosis from manual inspection to automated image-based analysis. Most prior deep learning approaches formulate tomato disease diagnosis as closed-set image classification, producing only coarse disease labels without interpretability or interactive...

Xu Lu, Hao-Ran Zhu, Qi Zhang et al. · 0 citations
Review Oct 2026

Hyperspectral imaging, processing, and new challenges: a comprehensive review

Hyperspectral imaging (HSI) captures rich spectral information across hundreds of contiguous narrow wavelength bands, enabling fine-grained material characterization beyond conventional imaging modalities. With the rapid development of sensor technologies and data-driven algorithms, HSI has been widely adopted in diver...

Xiao-Yan Luo, Lei Zhang, Jia-Lie Shen et al. · 0 citations
Book Open access Aug 2026

CanonFedRec: A Canonical Geometric Framework for Personalized Federated Recommendation

CanonFedRec is proposed, a novel framework that achieves superior performance while reducing memory costs by up to 40× compared to the best FedRec approach and treats item-wise variance as a proxy for client-side cognitive divergence, and dynamically adapting optimization objectives via elastic decision boundaries.

Yun-Qi Mi, Ze-Yu Hao, Guo-Shuai Zhao et al. · 2 citations
Book Open access Aug 2026

The 5th Workshop on AI Agent for Information Retrieval: Generating and Ranking

This workshop aims to bring together researchers and practitioners to discuss recent advances, practical applications, and future directions of AI agents in information retrieval, while encouraging collaboration and knowledge exchange within the community.

Qing-Song Wen, P. Mehrotra, Yongfeng Zhang et al. · 0 citations
Book Open access Aug 2026

CanonFedRec: A Canonical Geometric Framework for Personalized Federated Recommendation

CanonFedRec is proposed, a novel framework that achieves superior performance while reducing memory costs by up to 40× compared to the best FedRec approach and treats item-wise variance as a proxy for client-side cognitive divergence, and dynamically adapting optimization objectives via elastic decision boundaries.

Yunqi Mi, Zeyu Hao, Guoshuai Zhao et al. · 1 citation
Conference Open access Sep 2026

Dynamic Multi-Path Retrieval for Knowledge-based Visual Question Answering

Dynamic Multi-Path Retrieval for KB-VQA (DMRAG) is proposed, which re-trieves candidates through multiple retrieval paths that capture complementary visual and semantic cues and performs Question-Adaptive Gated Fusion to balance contributions from different modalities according to the query’s information need.

Zeyu Song, Yimin Deng, Yu-Xin Zhang et al. · 0 citations

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