- Faculty
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Bin Liu
Author： Source： Date：2024-03-14
Bin Liu
(1981.08-)
Associate Professor
Sex: Male
Nationality: Han
Birthplace: Weinan, Shaanxi Province
The Latest News and Progress
Jia Runchang. Class of 2019, Information Management Department, Undergraduate Deep Learning Sci-Tech Innovation Group. Lightweight Identification Model for Apple Leaf Diseases and Pests based on Mobile Terminals. Admission to EI: Transactions of the Chinese Society of Agricultural Engineering. (Ranked 1st among the Group) (2022.04.15)
Sun Henan, Xu Haowei. 2018 Information Management Department, Undergraduate Deep Learning Sci-Tech Innovation Group. MEAN-SSD: A Novel Real-Time Detector for Apple Leaf Diseases Using Improved Light-weight Convolutional Neural Networks. Admission to SCI: Computers and Electronics in Agriculture. (CAS Zone2) (2021.08.06)
Yuan Xinbin, Information Management Department, Yu Cong, Software Engineering Department, Class of 2019. Undergraduate Deep Learning Sci-Tech Innovation Group. CGAN-IRB: A Novel Data Augmentation Method for Apple Leaf Diseases. Admission to CCF Conference: International Computer Software and Applications Conference (CCF-C) (2021.04.15)
Xu Haowei, Sun Henan. Class of 2018, Information Management, Deep Learning Sci-Tech Innovation Group. The team participated in the 2020 China College Student Computer Design Competition and won the 1st Prize in the Northwest Region and the 3rd National Prize in the 2020 (13th) China College Student Computer Design Competition (2020.08)
Ding Zefeng. 2015 E-Commerce Department, Undergraduate Deep Learning Sci-Tech Innovation Group. Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks. Admission to SCI: Frontiers in Plant Science (CAS Zone2) (2020.06.30)
Three undergraduates of the Class of 2020, namely, Qiu Jiyan (Information Management 161), Chen Yuehan and Jiang Peng (E-Commence 162), were awarded the 100 Outstanding Theses of Our Undergraduates, the Outstanding Theses at the University Level and the Outstanding Theses at the College Level respectively（2020.06.23）
Xie Xiaoyue, Information Management Department. Ma Yuan, Computer Science Department, Class of 2017. Undergraduate Deep Learning Sci-Tech Innovation Group. A Deep-Learning- Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks. Admission to SCI: Frontiers in Plant Science (CAS Zone2) (2020.05.12)
The two teams of the Deep Learning Sci-Tech Innovation Group are consisting of Jiang Peng, Xie Xiaoyue, Ma Yuan, Tian Liang Liang, Ding Zefeng and Yang Danni, the two teams participated in the 2019 China College Computer Contest - Artificial Intelligence Creativity Competition Grand Final, and both teams won the National Second Prize with a prize of ¥20,000. as reported by School news, Faculty news and Faculty new media. (2019.11.22)
Deep Learning Sci-Tech Innovation Group - Jiang Peng, Chen Yuehan, Ding Zefeng, Tan Cheng, won second place in the Northwest Competition Region of the 2019 Future Cup College AI Challenge and entered the National Finals. Tian Liangliang, Zhang Yun, Qiu Jiyan and Xie Xiaoyue won the Excellence Award in the Northwest Competition Region, as reported by the school news（2019.04.18）
Four undergraduates of the class of 2018, namely, QI Xiao of E-Commerce 141, SHEN Mingzhu of Information Management 143, LIU Chaoyang of Computer 141 and FAN Lixing of Information Management 141, were awarded the 1st 100 Outstanding Undergraduates Theses of Our Undergraduates. (2018.06.28）
Education and Working Background
Associate Professor of College of Information Engineering, Dean of Data Science and Engineering Department, Doctoral Supervisor, Northwest A&F University (Now)
Selected as the key cultivator of College of Information Engineering (2019-2021)
Left the Postdoctoral Station, Post-doctoral of Agricultural Engineering, Northwest A&F University (2020.05)
Ph.D. in Computer Software and Theory, Xi’an Jiaotong University (2014)
Research Status
My research interests mainly focus on Parallel Computing, Deep Learning and Crop Pests and Diseases Diagnosis, Cloud Computing and Agricultural Big Data.
In recent years, I have published 22 papers in the Journal of Supercomputing, High Performance Computing and Communications and other important international journals and high-level academic conferences, as the first author or corresponding author.
Among them, there are 10 SCI papers (7 in CAS Zone2，1 in CCF-C, and 1 in ESI 2017),10 EI papers (6 in CCF-C). And I have published 4 SCI papers and 4 EI papers as the co-author.
In addition, I serve as the reviewer of prestigious journals, such as IEEE Transactions on Industrial Informatics, Future Generation Computer Systems, The Journal of Supercomputing, IEEE Trans. on Computers, Computers and Electronics in Agriculture, Smart Agriculture, and the reviewer of international conferences such as ISPA and HPCC.
Social Service
Senior Member of China Computer Federation (CCF)
Member of High-Performance Computing Committee of CCF
Member of Distributed Computing and Systems of CCF
Senior Member of the Chinese Agricultural Engineering Society
Member of IEEE
Member of the Chinese Artificial Intelligence Society
Director of Shaanxi Image Graphics Society
Correspondence Reviewer of the Department of Informatics, National Natural Science Foundation of China
Dissertation Reviewer
Member of Ministry of Agriculture and Rural Affairs IoT Key Laboratory
Member of Shaanxi Agricultural Information Perception and Intelligent Service Key Laboratory
Secretary of Rural Data Resource Management and Intelligent Service Research Center of Northwest A&F University Rural Revitalization Strategy Research Institute
Secretary of Shaanxi Agricultural Big Data Professional Committee of Shaanxi Big Data and Cloud Computing Industry Technology Innovation Strategy Alliance
Areas of Research Interests/ Research Projects
1. Deep Learning and Crop Pest and Disease Diagnosis
This study aims to identify and monitor pests and diseases of crops (apples, kiwis, grapes, etc.). The research summarizes the characteristics and rules of crop pests and disease identification through image processing technology, applies deep convolutional neural network models to the field of crop pests and disease identification, and establishes a prediction model suitable for crop disease diagnosis. Research focuses on deep learning-based target detection algorithms such as SSD, Faster RCNN and YOLO, and proposes a neural network model that balances accuracy and instant detection requirements for real-time pest and disease monitoring and early warning. Research concentrates on deep learning-based image segmentation algorithms.
Introduction to the Research Field: [PPT download]
Video presentations in the research field: Apple Disease Identification, Grape Disease Detection, Apple Disease Detection, Grape Disease Identification, Kiwi Disease Identification
2. Deep Learning Parallel Algorithm
Parallel Algorithm is a method and procedure for solving a problem jointly by using multiple processors. The execution process runs as follows:
First, it decomposes a given problem into a number of sub-problems that are as independent of each other as possible. Second, it uses multiple computers to solve it simultaneously. Third, it finally seeks out the solution to the original problem.
The group addresses the problem of poor parallelism in deep learning algorithms and conducts research on algorithm parallelization for multi-core/crowd-core platforms. Common parallel programming models (Python, CUDA and MPI) are studied to explicitly construct parallel deep learning algorithms, improve&deep parallel algorithm acceleration ratio performance, and improve the acceleration ratio performance of algorithms.
Introduction to the Research Field: [PPT download]
Video presentations in the research field: Parallel Sketch Algorithm, Parallel Ink Painting Algorithm, BMH Character String Parallel Matching Algorithm, Parallel Image Enhancement Algorithm
3. Cloud computing and Agricultural Big Data
To address the problem of massive image data generated by various data collections in modern agriculture, research on big data processing methods based on cloud computing technology is carried out. The research focuses on distributed storage and retrieval techniques for large-scale image data. The research concentrates on parallelization techniques for large-scale image data processing algorithms.
Introduction to the Research Field: [PPT download]
Video presentations in this research field: Big Data Parallelism in Agricultural Imagery
Postdoctoral, Ph.D., and Postgraduate Admissions Information
Excellent students with a sense of responsibility, a strong desire to learn, a proactive approach to learning, and a strong sense of self-discipline are welcome to apply!
Our admission information is inclined toward students who are serious about academics and have a passion for academic research. The training method is based on Regular Meetings and Ready Discussions. If you are interested in applying for me as your supervisor, please contact me by phone/ WeChat:18710487673.
Ph.D. (Postdoctoral) Students Admission Field:
0828Z2 Agricultural Engineering
Postgraduate Students Admission Fields:
0812 Computer Science and Technology (Academic Degree)
0854 Electronic Information (Professional Degree)
095136 Agricultural Engineering and Information Technology (MSc) (Professional Degree)
Northwest A&F University 2022 Postgraduate Reexamination Adjustment Work-Related Answers
2022 Postgraduate Reexamination Admissions Program for College of Information Engineering
Students who meet the following requirements are welcome to apply:
(1) have a good command of English.
(2) have strong programming skills.
(3) have a strong interest in algorithm research and software design.
Undergraduate Sci-Tech Innovation Admissions Information
Welcome undergraduate students with strong English and programming abilities to participate in our Sci-Tech Innovation Projects. If you are interested in our program, please contact me. For undergraduate students who have worked in science and technology for more than one year, have excellent performance in all aspects, and have made certain achievements in scientific research. If you have obtained the exemption qualification of our school, you will be given priority in admission. If you wish to be recommended to other schools (Xi'an Jiaotong University, Xidian University, Northwestern Polytechnical University, Xi'an University of Technology, provided you are outstanding), we will help you with recommendations and contacts.
[1] National Innovation Training Project, Research on Apple Pests and Diseases Prediction Model Based on Internet of Things, 2020, Completed with distinction, hosted by Li Chengze, Department of Software Engineering, Class of 2018.
[2] Provincial Innovation Training Project, Identification and Detection of Apple Leaf Pests and Diseases based on Cloud Collaboration and Convolutional Neural Network,2020, Completed with distinction, hosted by Sun Henan, Department of Information Management, Class of 2018.
[3] National Innovation Training Project, Research on Identification and Detection of Grape Leaf Diseases Based on Convolutional Neural Network, 2019, Completed with distinction, hosted by Tan Cheng, Department of Computer Science, Class of 2017.
[4] Provincial Innovation Training Project, Research on Apple Leaf Pathological Image Recognition Based on Convolutional Neural Network, 2017, Completed with distinction, hosted by Zhang Yun, E-commerce Department, Class of 2015.
Courses
Deep Learning (Graduate)
Cloud Computing, C Language Programming, Parallel Programming (Undergraduate)
Academic Achievements
1. He undertakes 12 National and Provincial Scientific Research Projects:
[1] Transversal Project, Research and Development of Agricultural Internet of Things Big Data Analysis and Visualization System, 2022031001, 2022.03 - 2023.02, Director.
[2] 2021 CCF-Baidu Pinecone Fund, Monitoring and Early Warning of Apple Leaf Diseases and Pests Based on PaddlePaddle-end Cloud Collaboration, 2021.07 - 2022.07, Director.
[3] National Key R&D Project, 2020YFD1100601-02-13, Research and Application of Agricultural Advanced and Applicable Technologies Recommendation Based on Knowledge Graph, 2020.01- 2022.10, Sub-Project Director.
[4] Horizontal Project, 2020SZNY-06, Development of Big Data Kanban Subsystem for Beef Cattle Farmers and Management Platform, 2020.12 - 2021.11, Sub-Project Director.
[5] Shaanxi Provincial Key R&D Program, 2021NY-138, Apple Leaf Pests and Diseases Early Monitoring and Warning Research and Inspection Equipment R&D Based on Artificial Intelligence, 2021.01 - 2022.12, Director.
[6] Shaanxi Provincial Key R&D Program, 2019ZDLNY07-06-01, Research on Intelligent Diagnosis, Monitoring and Early Warning of Apple Pests and Diseases Based on Big Data and AI Technology, 2019.01-2021.12, Sub-project Director.
[7] Central Universities Basic Research Business Expenses Special Fund Project,2452019064, Deep Learning based Grape Leaf Pests and Disease Identification Research and Application, 2019.06 - 2022.05, Director.
[8] Ningxia Smart Agriculture Industry Technology Collaborative Innovation Center, 2017DC53-01, Grape Pests and Disease Real-time Detection Research and Application Based on Convolutional Neural Network, 2017.10 - 2020.10, Sub-Project Director.
[9] National Natural Science Foundation Youth Program,61602388, A Study of Irregular Algorithms Parallelization Based on Thread-level Speculation, 2017.01-2019.12, Director.
[10] Shaanxi Provincial Natural Science Foundation General Program, 2017JM6059, A Study of Machine Learning Based Speculative Multi-Threaded Division Method for Cyclic Structure, 2017.01-2018.12, Director.
[11] China Postdoctoral Science Foundation, 2017M613216, Research on Parallelization of Agricultural Image Segmentation Algorithm in Cloud Computing Environment, 2017.09 - 2019.08, Director.
[12] Shaanxi Postdoctoral Fund, 2016BSHEDZZ121, Research on Parallelization of Agricultural Image Segmentation Algorithm Based on Spark Heterogeneous Cluster, 2016.01-2018.01, Director.
[13] Shaanxi Province Promoted Research Institutions to Carry out Major Agricultural Technology Extension Services Pilot Project, 2016XXPT-08, Agricultural Science and Technology Information Service Platform Construction Price Trend Forecast and Analysis System, 2016.03 - 2016.09, Director.
2. Representative Papers:
[1] Henan Sun#, Haowei Xu#, Bin Liu*, Dongjian He, Jinrong He, Haixi Zhang and Nan Geng. MEAN-SSD: A Novel Real-Time Detector for Apple Leaf Diseases Using Improved Light-weight Convolutional Neural Networks[J]. Computers and Electronics in Agriculture, 2021.08 (SCI; IF:5.565; CAS Zone2)
[2] Bin Liu#*, Zefeng Ding#, Liangliang Tian, Dongjian He,Shuqin Li and Hongyan Wan.Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks[J]. Frontiers in Plant Science, 2020.11:1082 (SCI:MV6FZ; IF:4.402; CAS Zone2)
[3] Liu Bin, Jia Runchang, Zhu XIanyu, Yu Cong, Yao Zhuohan, Zhang Haixi, He Dongjian. Lightweight identification model for apple leaf diseases and pests based on mobile terminals. Transactions of the Chinese Society of Agricultural Engineering[J], 2022, Accepted. (EI; First author)
[4] Bin Liu, Yun Zhang, DongJian He, Yuxiang Li. Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks[J]. Symmetry.2018,10(1),11. (SCI: FU8HQ; IF:1.457; JCR: Q2). [ESI Highly Cited Papers]
[5] Liu Bin(#), Zhao Yinliang, Li Yuxiang, Sun Yanjun, Feng Boqin. A thread partitioning approach for speculative multithreading[J], Journal of Supercomputing. 2014, 67(3):778-805. (SCI:AB7PC;IF:2.469;JCR:Q2; World Famous Academic Journal; CCF-C).
3. Honors and Awards (5 Representative Works)
[1] Outstanding Instructor of College Student Innovation and Entrepreneurship (2019).
[2] The First Prize of Shaanxi Provincial Higher Education Teaching Achievement Award: Optimizing System, Innovating Model, Planting Resources, Exploration and Practice of Cultivating Computer Application Innovation Ability of Agricultural and Forestry Talents, Ranked 6th (2019).
[3] 2021 Outstanding Master's Thesis Supervisor.
[4] 2020 One Hundred Excellent Theses (Designs) for Undergraduates, Outstanding Supervisor.
[5] University-level Advanced Individual (2019).
4. Subject Contest (5 Representative Works):
[1] The 13th China Student Computer Design Competition, National Third Prize, 2020.
[2] The 2nd China University Computer Contest - Artificial Intelligence Creativity Competition, Both Teams Won the National Second Prize, awarded ¥20,000, 2019.
[3] ACM China - International Parallel Computing Challenge, Super Cloud Computing Education Fund Award, 2021.
[4] The 10th National Parallel Application Challenge, Third Prize in Parallel Optimization Preliminary Competition, 2021.
[5] Future Cup College AI Challenge, won the 2nd Place in the Northwest Competition Region, awarded ¥2,000, 2019.
5. Educational Reform Projects (5 Representative Works)
[1] Northwest A&F University Education and Teaching Reform Research Project, A Study of Practical Teaching System Construction for Data Science and Big Data Major. 2021.08 - 2023.07, Director.
[2] Northwest A&F University Education and Teaching Reform Research Project, Artificial Intelligence Class Curriculum System Construction for Data Science and Big Data Major. 2019.08 - 2021.07, Director.
[3] Northwest A&F University Education and Teaching Reform Research Project, JY1703080, Exploration and Practice of Hybrid Teaching Mode and Teaching Method in the Course of "Cloud Computing". 2017.06 - 2019.06, Director.
[4] Department of Higher Education, Ministry of Education, 201701004008, Exploration and Practice of Flipped Classroom Teaching Mode Based on MOOC + SPOC in the Course of Cloud Computing, 2017.07 - 2018.12, Director.
[5] Northwest A&F University Postgraduate Education Reform Project, Project-driven Deep Learning Teaching Case Library Construction (Professional Degree Case Library), 2022.05 - 2024.04, Director.
6. Undergraduate Talent Development (5 Representative Works):
[1] Jiyan Qiu, Information Management 161, GPU-based Algorithm for Fast Ink Painting Generation, University-level 100 Articles.
[2] Mingzhu Shen, Information Management 143, Predictive Research on Question Answering Satisfaction of Stack Overflow Forum, University-level 100 Articles.
[3] Chaoyang Liu, Computer 141, A study of CUDA-based Parallel Fast Pencil Drawing Generation Algorithm, University-level 100 Articles.
[4] Fan Li-Xing, Information Management 141, Parallel Graph Repartitioning Algorithm Research Based on Vertex Partition, University-level 100 Articles.
[5] Xiao Qi, E-Commerce141, Parallel Boyer-Moore-Horspool Matching Algorithm Research Based on OpenMP, University-level 100 Articles.
Postgraduate
[1] Qi Xiao (Academic Degree) Cheng Shixiong, Yang Hao (Professional Degree) (Class of 2018, Awarded Master’s Degree)
[2] Tian Liang-liang (Academic Degree), Liu Rongda, Hu Qilin, Zhang Jiaqi (Professional Degree) ((Class of 2019, Awarded Master’s Degree))
[3] Yao Feixiang (Academic Degree), Gao Haoyuan, Ren Huakun, Yang Jiahui, Zhao Huan, Li Jiaxin (Professional Degree) (Class of 2020)
[4] Sun Leiming, Ma Yongyao (Academic Degree) Hu Zijian, Liu Zengtao, Duan Nannan, Huang Xulei (Professional Degree) (Class of 2021)
Contact
Address: College of Information Engineering, Northwest A&F University, No.22, Xinong Road, Yangling District, Shaanxi Province
Office: 307, College of Information Engineering
Postcode: 712100
Phone: (+86) 18710487673
Email: liubin0929@nwsuaf.edu.cn/ liubin2010@gmail.com