Rui Men

According to our database, Rui Men authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A communication link lifetime prediction-supported V2V partial computation offloading scheme for autonomous driving.

Rui Men, Xiumei Fan, Jun Yan, Axida Shan, Shujia Fan

J. Intell. Fuzzy Syst., March, 2024

Fuzzy Logic Based Binary Computation Offloading Scheme in V2X Communication Networks.

Rui Men, Xiumei Fan, Axida Shan, Gang Yuan

IEEE Access, 2024

2023

Dynamic Selfish Node Detection With Link Quality Consideration in Vehicular Networks.

Axida Shan, Xiumei Fan, Celimuge Wu, Xinghui Zhang, Rui Men

IEEE Trans. Veh. Technol., July, 2023

Multi-Objective Optimization Method for Signalized Intersections in Intelligent Traffic Network.

Xinghui Zhang, Xiumei Fan, Shunyuan Yu, Axida Shan, Rui Men

Sensors, July, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

2022

Blockchain-Based Incentive-Compatible Reputation Management System in Vehicular Networks.

Rui Men, Xiumei Fan, Xuguang Yang

Inf. Resour. Manag. J., 2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.

Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou

CoRR, 2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou

CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.

Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens.

Xing Hu, Rui Men, Ge Li, Zhi Jin

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching.

Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

On End-to-End Program Generation from User Intention by Deep Neural Networks.

Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin

CoRR, 2015

Recognizing Entailment and Contradiction by Tree-based Convolution.

Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin

CoRR, 2015