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Bing Li

8 papers indexed

arxivcs.ROcs.LG2026-07-21

End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation

Jingzheng Li, Yufei Ge, Zhijun Chen, Qianren Mao, Zizhe Wang, Binhang Qi, et al.

Generating closed-loop traffic scenarios that are both realistic and controllable is crucial for evaluating autonomous driving systems, especially under rare safety-critical interactions. Existing learning-based methods often struggle to balance controllability and realism, offer…

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arxivcs.CV2026-07-14

Gaussian Mixture Modeling for Event-Aware Visual Allocation in Long Video Understanding

Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Jun Gao, Bing Li, Weiming Hu

Large Vision-Language Models (LVLMs) face significant challenges in long video understanding due to the excessive computational cost and information loss associated with uniform sampling. Existing keyframe selection methods often treat video frames as atomic entities and allocate…

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arxivcs.CVcs.LG2026-07-11

SPORT: Structure-Aware Prototype Disentanglement for Incomplete Multi-View Clustering

Yaoyuan Guo, Zhibin Gu, Songhe Feng, Yuhui Zheng, Bing Li

Prototype-based Incomplete Multi-view Clustering has recently attracted increasing attention by exploiting prototypes as semantic anchors for missing-view imputation. However, existing approaches are still limited in three aspects. First, they typically focus on enforcing cross-v…

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arxivcs.CV2026-07-08

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG

Tao Zhang, Ziqi Zhang, Zongyang Ma, Yuxin Yang, Bing Li, Chunfeng Yuan, et al.

Knowledge-based Visual Question Answering (KB-VQA) requires models to retrieve visual entities matching the query image from large-scale encyclopedic knowledge bases and answer related questions. Existing multimodal Retrieval Augmented Generation (mRAG) methods rely on global vis…

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arxiveess.IVcs.CV2026-07-08

Towards Accurate and Fast Clinical Body Composition: A Resource-Efficient Hierarchical Segmentation Framework for Multi-Source CT

Xiaodi Shen, Qingzhu Zheng, Yaoyang Qiu, Cien Fan, Ruonan Zhang, Yangdi Wang, et al.

Background: Automated 3D segmentation of muscles and adipose tissue from CT is vital for body composition analysis, but multi-source data heterogeneity and high CPU memory demands hinder clinical deployment. Methods: We propose a coarse-to-fine hierarchical framework to segment t…

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arxivcs.AI2026-07-02

Traceable Fault Diagnosis for Battery Energy Storage Systems via Retrieval-Augmented Multi-Agent O&M Assistant

Jiangdi Ru, Bing Li, Yage Huang, Ding Wang, Keru Hua

Large-scale battery energy storage systems (BESSs) require O&M decisions that combine alarms, cell-level measurements, device topology, diagnostic tables, historical cases, and maintenance documents. Monitoring platforms can flag threshold violations, but they often cannot explai…

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crossrefInternational Journal of Molecular Sciences2025-11-26

Multi-Pathway Mechanisms of Engeletin in Ischemic Stroke: A Comprehensive Study Based on Network Pharmacology, Machine Learning, and Immune Infiltration Analysis

Huiming Xue, Yuchen Wen, Jiahui Yang, Yue Zhang, Chang Jin, Bing Li, et al.

Ischemic stroke (IS) is a leading cause of mortality and long-term disability, underpinned by complex molecular mechanisms, such as oxidative stress, neuroinflammation, and apoptosis. The flavonoid Engeletin exhibits promising neuroprotective properties, but its mechanism of acti…

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