Zhu Lijing

Bowling Green State University

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Wenzheng Ju

Nanjing University of Chinese Medicine

Xue Lixin

Yichang Central People's Hospital

Bingting Sun

Nanjing Traditional Chinese Medicine Hospital

Haiming Song

Beihua University

Shuteng Niu

Bowling Green State University

Qizhen Lan

University of Alabama at Birmingham

Xi Xiao

Tsinghua University

Houbing Song

University of Maryland, Baltimore County

Alvaro Velasquez

University of Colorado System

Jiacheng Xie

Georgia Institute of Technology

Cooperative Institutions

Chinese Academy of Sciences

Nanjing University

University of Alabama at Birmingham

Shanghai Jiao Tong University

Ningbo Institute of Industrial Technology

University of Chinese Academy of Sciences

Nanjing University of Chinese Medicine

Bowling Green State University

China Agricultural University

Fujian Agriculture and Forestry University

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術前近距離B2I、IIのA2期の子宮頸癌の放射線治療を同期併用化学療法の短期有効性【JST・京大機械翻訳】

Xiandai Fu Chan Kejinzhan (2016)

Yang Jiancheng Han Ke Zhu Lijing Yan Jing

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Analysis and Research of Enterprise Information System Security Based on e-Commerce

Academic Journal of Computing & Information Science (2020)

Zhu Lijing

Nowadays, the world has entered the information age. Information systems have been widely used in various fields of society, and the importance of information has been widely accepted. Enterprises need to guarantee the security of e-commerce information system more and more urgently, and need to adopt a three-pronged approach of management, hardware and software technology to establish an e-commerce information security system. An information system is a series of complicated links, and security measures are required to permeate all aspects of information systems. With the in-depth study of e-commerce, people gradually realize that the security of e-commerce is not just a technical problem. Information security in e-commerce includes not only computer network security, but also information integrity, identity confirmation and non repudiation. This paper describes the security of enterprise information system based on e-commerce, and analyzes the unsafe factors of an enterprise information system based on e-commerce.

Information security management

Information security standards

10.25236/ajcis.2020.030312

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MEASURES OF CONTROLLING PLUG FLOW IN THE PIPELINE TRANSPORTING NATURAL GAS AND CONDENSATE FLUIDS

Tianranqi gongye (2008)

Zhu Lijing

The gas/liquid gathering and transporting technology has been widely used in several large gas fields in China because this simplifies the flow process,makes operation easy to handle,and is good for the unattended operation.However,plug flow happens often in this technology,which will bring great damage on the vibratility of pipeline and lead to unstable operation of processing equipments by the end of the pipeline.This paper introduces some catchers like the container-type and multi-tube type and design ideas such as taking use of the in-service separator as a positive displacement catcher and pigging at the divided section of pipeline.Taking one gathering line in the Changbei gas field as an example,this paper discusses how some measures have been taken effectively to alleviate the problem of plug flow.

Pigging

Spark plug

Separator (oil production)

Natural gas field

Positive displacement meter

Sour gas

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Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning

2021 IEEE International Conference on Big Data (Big Data) (2024)

Zhu Lijing D. Jeon Wenbo Sun Yang Li Yixin Xie

Regularization

Representation

10.1109/bigdata62323.2024.10825244

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SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection

2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023)

Zhu Lijing Qizhen Lan Alvaro Velasquez Houbing Song Acharya Kamal

Human-Object Interaction (HOI) detection is a challenging computer vision task that aims to recognize and understand the interactions between humans and objects in images or videos. Existing techniques heavily rely on appearance-based features and computationally expensive transformer models for semantic representation. In this paper, we propose SKGHOI (Spatial-Semantic Knowledge Graph for HOI), a novel graph-based approach that efficiently captures semantic representation by integrating spatial and semantic knowledge. SKGHOI constructs a graph with interaction components as nodes and spatial relationships as edges. Our approach leverages spatial and semantic encoders to extract spatial and semantic information, which are then fused to create a knowledge graph that captures the semantic representation of HOIs. Compared to existing methods, SKGHOI offers computational efficiency and the incorporation of prior knowledge, making it practical for real-world applications. Experimental evaluations on the widely-used HICO-DET datasets demonstrate that SKGHOI outperforms state-of-the-art graph-based methods by a significant margin, showcasing its effectiveness and potential for improving the accuracy and efficiency of HOI detection.

Knowledge graph

10.1109/icdmw60847.2023.00155

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高速液体クロマトグラフィーによる四逆散中の6種類の抗うつ薬成分の同時定量法を開発した。【JST・京大機械翻訳】

Zhongguo Yiyuan Yaoxue Zazhi (2016)

Yang Zong Bingting Sun Zhu Lijing Zhang Qian Wenzheng Ju

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zi ti jiao mo yuan gan xi bao yi zhi zhi liao yi zhuang zuo rou de liao xiao guan cha

LV Zuo Zhu Lijing Huang Qun Yuhong Zou Hu Shouzhi

目的观察自体角膜缘干细胞移植治疗翼状胬肉的疗效.方法 128例157眼翼状胬肉均行翼状胬肉切除+自体角膜缘干细胞移植,观察术后治疗效果.结果按FESS广州标准进行临床判断,治愈106例,占82.8%,好转18例,占14.1%,无效4例,占3.1%.均无并发症发生.结论翼状胬肉切除+自体角膜缘干细胞移植是治疗翼状胬肉的一种行之有效的方法.

Guan

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HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction

arXiv (Cornell University) (2024)

Xi Xiao Wentao Wang Jiacheng Xie Zhu Lijing Gaofei Chen

Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information. While learning-based methods can model sequence and structural information, they struggle to integrate contextual data and often lack comprehensive modeling of drug-target interactions. In this study, we propose a novel DTA prediction method, termed HGTDP-DTA, which utilizes dynamic prompts within a hybrid Graph-Transformer framework. Our method generates context-specific prompts for each drug-target pair, enhancing the model's ability to capture unique interactions. The introduction of prompt tuning further optimizes the prediction process by filtering out irrelevant noise and emphasizing task-relevant information, dynamically adjusting the input features of the molecular graph. The proposed hybrid Graph-Transformer architecture combines structural information from Graph Convolutional Networks (GCNs) with sequence information captured by Transformers, facilitating the interaction between global and local information. Additionally, we adopted the multi-view feature fusion method to project molecular graph views and affinity subgraph views into a common feature space, effectively combining structural and contextual information. Experiments on two widely used public datasets, Davis and KIBA, show that HGTDP-DTA outperforms state-of-the-art DTA prediction methods in both prediction performance and generalization ability.

10.48550/arxiv.2406.17697

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Construction of Management Information System for Small and Medium-Sized Enterprises under Cloud Computing Environment

International Journal of New Developments in Engineering and Society (2020)

Zhu Lijing

In China, with the continuous advance of cloud computing technologies such as virtualization technology and big data processing technology, small and medium-sized enterprises are constantly updating and improving their management information system. In recent years, computer network technology and information technology have been gradually applied to enterprise management. With the development of enterprises, a large number of heterogeneous software services deployed on different servers are accumulated in enterprises. Cloud computing can not only reduce the cost of informatization construction of small and medium-sized enterprises, strengthen the integration of information resources, promote resource sharing, but also promote enterprise management and service innovation. In view of the development of social economy and the advance of the industry, if the enterprise wants to be better based on the market, it must realize the scientific management mode, and constantly improve the efficiency and quality of work. Through the cloud computing model, this paper introduces the system construction of the management information system for small and medium-sized enterprises in the cloud computing environment and the implementation scheme of enterprises in the cloud computing environment.

Informatization

10.25236/ijndes.040110

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その場架橋重合によるポリ(ビニルピロリドン)で修飾した増強された防汚性と血液適合性を有するポリスルホン血液透析濾過膜【Powered by NICT】

Materials Science and Engineering C (2017)

Zhu Lijing Haiming Song Jiarong Wang Xue Lixin

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