Baida Zhang

Optimization of infectious disease intervention measures using reinforcement learning with UK COVID-19 epidemic data

Baida Zhang, Yakai Chen, Huichun Li, Zhenghu Zu

Globally, the outbreaks of infectious diseases have exerted an extremely profound and severe influence on health security and the economy. During the critical phases of epidemics, devising effective intervention measures poses a significant challenge to both the academic and practical arenas. There …

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A Hierarchical Prompt-Enhanced Multi-Agent Transformer for Covert and Secure Communication Optimization in UAV-ISAC-Assisted D2D Networks

Gezahegn Abdissa Bayessa, Baida Zhang

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Optimization of Infectious Disease Intervention Measures Based on Reinforcement Learning -- Empirical analysis based on UK COVID-19 epidemic data

Baida Zhang, Y. Chen, Huichun Li, Zhenghu Zu

Globally, the outbreaks of infectious diseases have exerted an extremely profound and severe influence on health security and the economy. During the critical phases of epidemics, devising effective intervention measures poses a significant challenge to both the academic and practical arenas. There …

Cross-Modality Semantic Consistency Learning for Visible-Infrared Person Re-Identification

Min Liu, Zhu Zhang, 元 渡辺, Xueping Wang et autres

Visible-infrared person re-identification (VI-ReID) seeks to identify and match individuals across visible and infrared ranges within intelligent monitoring environments. Most current approaches predominantly explore a two-stream network structure that extract global or rigidly split part features and introduce an extra modality for …

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Computing Permanents for Boson Sampling on Tianhe-2 Supercomputer.

Junjie Wu, Baida Zhang, Xian‐Min Jin, Yan Wang et autres

Boson sampling, a specific quantum computation problem, is widely regarded to be one of the most achievable fields in which quantum machine will outperform the most powerful classical computer in the near term, although up to now no upper-bound of how fast …

An optimized BFS algorithm: A path to load balancing in MIC

Chenxu Wang, Yutong Lu, Baida Zhang, Tao Gao et autres

Graph traversal is a widely used algorithm in a variety of fields, including social networks, business analytics, and high-performance computing and so on. Graph traversal on single nodes has been well studied and optimized on modern CPU architectures. Now, heterogeneous computing is …

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HAGP: A Hub-Centric Asynchronous Graph Processing Framework for Scale-Free Graph

Tao Gao, Yutong Lu, Baida Zhang

Graph structure which is often used to model the relationship between the data items has drawn more and more attention. The graph datasets from many important domains have the property called scale-free. In the scale-free graphs, there exist the hubs, which have …

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Using the Intel Many Integrated Core to accelerate graph traversal

Tao Gao, Yutong Lu, Baida Zhang, Guang Suo

Data-intensive applications have drawn more and more attention in the last few years. The basic graph traversal algorithm, the breadth-first search (BFS), a typical data-intensive application, is widely used and the Graph 500 benchmark uses it to rank the performance of supercomputers. …

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Parallel architecture and optimization for discrete-event simulation of spike neural networks

Yuhua Tang, Baida Zhang, Junjie Wu, Tianjiang Hu et autres

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Topic Diffusion Behavior Tracking in Online Social Network

Zheng Liang, Yan Jia, Bin Zhou, Baida Zhang

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Methods and Tools for the Simulation of Neural Networks

Baida Zhang

As the most important part of human, brain is very complex. Because of the advantage to treat the disease of brain and understand the intelligence of humans, a new subject has emerged, i.e. the simulation of neural networks, which is a field …

A Unique Vertex Deleting Algorithm for Graph Isomorphism

Baida Zhang, Yuhua Tang, Junjie Wu, Linqi Huang

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