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Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions Conference paper
Duan, Xiuliang, Tan, Dating, Fang, Liangda, Zhou, Yuyu, He, Chaobo, Chen, Ziliang, Wu, Lusheng, Chen, Guanliang, Gong, Zhiguo, Luo, Weiqi, Guan, Quanlong. Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 6959-6968.
Authors:  Duan, Xiuliang;  Tan, Dating;  Fang, Liangda;  Zhou, Yuyu;  He, Chaobo; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/12/05
Geometry Questions  Multi-modal Large Language Models  Prompting Method  
Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis Journal article
Zhang, Tian, Du, Cuifeng, Zhou, Yuyu, Guan, Quanlong, Liu, Zhiquan, Huang, Xiujie, Gong, Zhiguo, Deng, Lianbing, Li, Yang. Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis[J]. IEEE Internet of Things Journal, 2024.
Authors:  Zhang, Tian;  Du, Cuifeng;  Zhou, Yuyu;  Guan, Quanlong;  Liu, Zhiquan; et al.
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2025/01/13
Intelligent Vehicle Intrusion Detection  Self-supervised Box Classification  Spatiotemporal Sequence Features  Transfer Learning  Transformer