Yonglin Tian
Biographic Data
| ID | 9679157 |
|---|---|
| NAME | Yonglin Tian |
| GIVEN NAMES | Yonglin |
| FAMILY NAME | Tian |
| SIGNATURE | TIAN Y |
| AFFILIATIONS | University of Science and Technology of China |
| ORCID | 0000-0003-1911-5791 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Parallel Tourism System With Foundation Models and Decentralized Autonomous Organizations
Tourism is a critical driver of economic growth and cultural exchange. However, traditional tourism models often struggle to address challenges such as insufficient understanding of diverse travel preferences, limited capacity for personalized services, and a lack of intelligent, convenient service solutions. In this paper, we propose a virtual‐real interactive Parallel Tourism System (PTS) and a Smart Tourism and Lifestyle Service Large Model (S…
Parameter Identification and Refinement for Parallel PCB Inspection in Cyber–Physical–Social Systems
Replacing manual inspection, automated optical inspection (AOI) equipment is widely used in printed circuit board (PCB) factories for automatic PCB defect segmentation. However, parameter refinement of AOI devices has gradually become an efficiency bottleneck in AOI usage, posing a highly challenging task. Since a large number of AOI parameters and different types of inspected objects make timely proper parameter refinement for clear images quite…
Artificial Identification
To provide off-chain federations with complete privacy services to realize on-chain federated learning (FL), this article proposes a novel privacy framework for FL based on blockchain and smart contracts, named Artificial Identification. It consists of two modules: private peer-to-peer identification and private FL, using two scalable smart contracts to manage the identification and learning process, respectively. Based on Ethereum and interplena…
Federated Ecology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) this year. First, I am grateful to report that, as of February 7, 2021, the Citescore of TCSS has leapfrogged back to 5.8, a new high, which indicates the high quality and relevance of IEEE TCSS in the field of social computing and computational social systems research. Many thanks to all of you for your great effort and support
Federated Data
Federated ecology can provide an effective solution forthe serious isolated data island issues caused by data privacy protection and information security requirements in the era of artificial intelligence (AI). As the data foundation of federated ecology, federated data include the data of all the nodes in the federation, as wellas their storage, computation, and communication resources. For privacy-preserving, federated data are divided into pri…
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Federated Ecology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) this year. First, I am grateful to report that, as of February 7, 2021, the Citescore of TCSS has leapfrogged back to 5.8, a new high, which indicates the high quality and relevance of IEEE TCSS in the field of social computing and computational social systems research. Many thanks to all of you for your great effort and support
Federated Data
Federated ecology can provide an effective solution forthe serious isolated data island issues caused by data privacy protection and information security requirements in the era of artificial intelligence (AI). As the data foundation of federated ecology, federated data include the data of all the nodes in the federation, as wellas their storage, computation, and communication resources. For privacy-preserving, federated data are divided into pri…
Artificial Identification
To provide off-chain federations with complete privacy services to realize on-chain federated learning (FL), this article proposes a novel privacy framework for FL based on blockchain and smart contracts, named Artificial Identification. It consists of two modules: private peer-to-peer identification and private FL, using two scalable smart contracts to manage the identification and learning process, respectively. Based on Ethereum and interplena…
Parameter Identification and Refinement for Parallel PCB Inspection in Cyber–Physical–Social Systems
Replacing manual inspection, automated optical inspection (AOI) equipment is widely used in printed circuit board (PCB) factories for automatic PCB defect segmentation. However, parameter refinement of AOI devices has gradually become an efficiency bottleneck in AOI usage, posing a highly challenging task. Since a large number of AOI parameters and different types of inspected objects make timely proper parameter refinement for clear images quite…
Parallel Tourism System With Foundation Models and Decentralized Autonomous Organizations
Tourism is a critical driver of economic growth and cultural exchange. However, traditional tourism models often struggle to address challenges such as insufficient understanding of diverse travel preferences, limited capacity for personalized services, and a lack of intelligent, convenient service solutions. In this paper, we propose a virtual‐real interactive Parallel Tourism System (PTS) and a Smart Tourism and Lifestyle Service Large Model (S…
Computer Science (5 works) · Privacy-Preserving Technologies in Data (3 works) · Blockchain Technology Applications and Security (2 works) · Computer security (2 works) · Data science (2 works) · Database (2 works) · Information privacy (2 works) · Political science (2 works) · Age of Information Optimization (1 work) · Big data (1 work)