Haiyang Xu

BISRF-Net: A Baseline-Preserving Scale-Guided Residual Feature Routing Network for UAV-Based Inland Waterway Lock Monitoring

Boju Li, Xiaodong Lü, Sudong Xu, Haiyang Xu et autres

Unmanned aerial vehicle (UAV) acquired imagery provides a flexible non-contact visual sensing modality for monitoring inland waterway locks, yet reliable perception remains challenging due to significant scale variation among targets, as well as partial visibility, low contrast, water-surface texture variation, and complex …

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A Study on the Safe Navigation of Ships in Channel Intersections During Flood Seasons

Xinyue Luo, Yicheng Tang, Kaofan Liu, Hui Xu et autres

The navigation conditions of inland river crossing waterways are directly related to the efficiency and safety of the entire water transport network. In this paper, a two-dimensional hydrodynamic model is established by using Delft3D to simulate the crossflow distribution characteristics before and …

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Research on Risk Assessment and Prevention–Control Measures for Immersed Tunnel Construction in 100 m-Deep Water Environments

Haiyang Xu, Zhengzhong Qiu, Sudong Xu, Liuyan Mao et autres

With the rapid development of cross-sea infrastructure, the immersed tube method has been increasingly applied to deep-water immersed-tube tunnel construction. However, when the construction depth reaches the scale of one hundred meters, issues such as high hydrostatic pressure, complex hydrological conditions, and …

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Construction of High Stability Titanium Dioxide/Carbon Nanotube Anode Material Based on Titanium-Containing Blast Furnace Slag

Juan Yu, Wenxin Tian, Haiyang Xu, Hao Zhang et autres

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Integral-Based Memory Event-Triggered Controller Design for Uncertain Neural Networks with Control Input Missing

Ping Wang, Zhen Wang, Haiyang Xu

In this paper, the controller design problem for uncertain neural networks (NNs) with control input missing is addressed under an event-triggered (ET) scheme. First, under the zero-input method, the closed-loop system is modeled as a switched system which includes a stable subsystem …

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Elastic Scaling Method for Multi-tenant Databases Based on Hybrid Workload Prediction Model

Haiyang Xu, Hailong Liu, Xian Chen, Lei Wang et autres

One of the most important features of multi-tenant databases in cloud environments is scalability. However, most elastic scaling techniques struggle to make effective scaling decisions for dynamically changing loads. If load changes can be predicted in advance, resource supply can be accurately …

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Research on the Design and Optimization of Photonic Crystal Structures Based on Neural Networks

Haiyang Xu

With the continuous development of photonic crystal structure design,It is extremely difficult to establish an analytical model based on the basic principles of physics and to calculate and solve the appropriate structure to achieve specific photonic properties.Especially when the geometric shape and …

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Sparse Mixture of Experts Language Models Excel in Knowledge Distillation

Haiyang Xu, Haoxiang Liu, Wei Gong, Xianjun Deng et autres

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Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models

Chaoya Jiang, Hongrui Jia, Mengfan Dong, Wei Ye et autres

Large Vision-Language Models (LVLMs) exhibit remarkable capabilities but struggle with ''hallucinations''-inconsistencies between images and their descriptions. Previous hallucination evaluation studies on LVLMs have identified hallucinations in terms of objects, attributes, and relations but overlooked complex hallucinations that create an entire narrative around …

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mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model

Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye et autres

Weak diagram analysis abilities of LLMs or Multimodal LLMs greatly limit their application scenarios for scientific academic paper writing. In this work, towards a more versatile copilot for academic paper writing, we mainly focus on strengthening the multi-modal diagram analysis ability of …

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mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan et autres

Multi-modal Large Language Models (MLLMs) have demonstrated impressive instruction abilities across various open-ended tasks. However, previous methods primarily fo-cus on enhancing multi-modal capabilities. In this work, we introduce a versatile multi-modal large language model, mPLUG-Owl2, which effectively leverages modality collab-oration to improve …

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UniQRNet: Unifying Referring Expression Grounding and Segmentation with QRNet

Jiabo Ye, Junfeng Tian, Ming Yan, Haiyang Xu et autres

Referring expression comprehension aims to align natural language queries with visual scenes, which requires establishing fine-grained correspondence between vision and language. This has important applications in multi-modal reasoning systems. Existing methods typically use text-agnostic visual backbones to extract features independently without considering …

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