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Dr. Haisheng LI
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25Years (2002-Present)
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Representative Publications
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Journal Article
The food supply chain is a complex system that involves a multitude of “stakeholders” such as farmers, production factories, distributors, retailers and consumers. “Information asymmetry” between stakeholders is one of the major factors that lead to food fraud. Some current researches have shown that applying blockchain can help ensure food safety. However, they tend to study the traceability of food but not its supervision. This paper provides a blockchain-based credit evaluation system to strengthen the effectiveness of supervision and management in the food supply chain. The system gathers credit evaluation text from traders by smart contracts on the blockchain. Then the gathered text is analyzed directly by a deep learning network named Long Short Term Memory (LSTM). Finally traders’ credit results are used as a reference for the supervision and management of regulators. By applying blockchain, traders can be held accountable for their actions in the process of transaction and credit evaluation. Regulators can gather more reliable, authentic and sufficient information about traders. The results of experiments show that adopting LSTM results in better performance than traditional machine learning methods such as Support Vector Machine (SVM) and Navie Bayes (NB) to analyze the credit evaluation text. The system provides a friendly interface for the convenience of users.
1 February 2015 in Computer Vision and Image Understanding
Journal Article
BLBo Li
Bo Li
YLYijuan Lu
Yijuan Lu
CLChunyuan Li
Chunyuan Li
AGAfzal Godil
Afzal Godil
TSTobias Schreck
Tobias SchreckCZChangqing Zou
Changqing Zou
+16
Journal Article
Agri-food trade has a profound impact on social stability and sustainable economic development. However, there are several technological problems in current agricultural product transactions. For example, it is almost impossible to improve the efficiency of transactions and maintain market stability. This paper designs a novel Food Trading System with COnsortium blockchaiN (FTSCON) to eliminate information asymmetry in the food trade, in order to establish a sustainable and credible trading environment, the system uses consortium blockchain technology to meet the challenge of different authentications and permissions for different roles in food trade. Meanwhile, we have used the online double auction mechanism to eliminate competition. We also have designed a improved Practical Byzantine Fault Tolerance (iPBFT) algorithm to improve efficiency. In addition, a case study based on a series of data from Shandong Province, China indicate that the FTSCON can achieve profit improvement of merchants. Therefore, the proposed system proved to have high commercial value.
3 January 2020 in World Wide Web
Journal Article
24 February 2022 in Trends in Food Science & Technology
Journal Article
WWWei Wang
Wei Wang
Weiqing MinTLTianhao Li
Tianhao LiXDXiaoxiao Dong
Xiaoxiao Dong
HLHaisheng LI
Haisheng LISJShuqiang Jiang
Shuqiang Jiang
10 September 2018 in Arabian Journal for Science and Engineering
Journal Article
About Me
Li Hai-sheng received his Ph.D. degree in computer graphics from Beihang University, China, in 2002. He is a professor at the School of Computer Science and Engineering, Beijing Technology and Business University, China. He is the director of the information network center at BTBU and executive director of the School of Computer Science and Engineering. He is also the discipline leader in Computer Science and Technology at BTBU. He is an executive member of the China Graphics Society Council, Vice Chairman of the AI Simulation Technology Committee of China Simulation Society, and a distinguished member of the China Computer Federation. He was awarded the Beijing Higher Education Teaching Achievement Prize in 2018 and the Beijing Municipal Science and Technology Progress Award in 2003. His current research interests include cross-media computing, scientific visualization, and intelligent information processing. He is in charge of supported projects of the National Natural Science Foundation of China, National Key Research and Development Program, Beijing Natural Science Foundation, Beijing Natural Science Foundation and Fengtai Rail Transit Frontier Research Joint Fund and several enterprise- and institution-commissioned research projects. He has published three academic monographs and two textbooks. He has registered several software copyrights and was granted three invention patents. He has published more than 100 research papers, half of which have been indexed by SCI/EI.