Jianmin Liu is currently a Ph.D. student at Xi’an Jiaotong University specializing in Federated Learning and Large Language Models, under the supervision of Associate Prof. Li Yan. Prior to this, he obtained a master’s degree in Cyberspace Security from Fujian Normal University under the supervision of Prof. Hui Lin and Associate Prof. Xiaoding Wang, focusing on research related to spatiotemporal traffic data in smart cities. Currently, his research is expecting to promote large language models to a more secure, low-cost and privacy-protected new stage. He possesses a strong sense of initiative and hope to have the opportunity to explore interesting and meaningful things with you.

🔥 News

• [Jun. 2024] I was honored with the title of Excellent Graduating Graduate Student at Fujian Normal University.
• [Feb. 2024] Our paper about trajectory forecasting is accepted by Elsevier Information Fusion.
• [Nov. 2023] Our paper about traffic forecasting is accepted by ACM Transactions on Sensor Networks.
[Oct. 2023] Our paper about trajectory forecasting is accepted by Elsevier Information Fusion.
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📝 Publications

Note: * indicates Corresponding authors.

INFFUS

Reliable trajectory prediction in scene fusion based on spatio-temporal Structure Causal Model

Jianmin Liu; Hui Lin*; Xiaoding Wang; Sahil Garg*; Mohammad Mehedi Hassan

Information Fusion (INFFUS), 2024.

SCI-1区,IF=18.6

Trajectory prediction, Causal inference, Scene fusion, Intelligent transportation

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INFFUS

A Multi-Modal Spatial-Temporal Model for Accurate Motion Forecasting with Visual Fusion

Xiaoding Wang; Jianmin Liu; Hui Lin*; Sahil Garg*; Mubarak Alrashoud

Information Fusion (INFFUS), 2024.

SCI-1区,IF=18.6

Motion forecasting, Intelligent transportation, Spatial–temporal cross attention

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ACM-TOSN

GSAA: A Novel Graph Spatiotemporal Attention Algorithm for Smart City Traffic Prediction

Jianmin Liu; Xiaoding Wang; Hui Lin*; Feng Yu

ACM Transactions on Sensor Networks (TOSN), 2023.

CCF-B

Traic Prediction, Graph Neural Networks, Attention Mechanism

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💬 Services

• Teaching assistant for Computer Network courses (2023).