Le Dai

According to our database, Le Dai authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing.

Yuan-Jian Yang, Chengyuan Ma, Gui-hua Liu, Hao Lu, Le Dai, Jia-Lun Wan, Junyu Guo

Qual. Reliab. Eng. Int., December, 2024

A parallel deep neural network for intelligent fault diagnosis of drilling pumps.

Junyu Guo, Yulai Yang, He Li, Le Dai, Bangkui Huang

Eng. Appl. Artif. Intell., 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation.

Yanming Liu, Xinyue Peng, Jiannan Cao, Le Dai, Xingzu Liu, Weihao Liu, Mingbang Wang

CoRR, 2024

Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification.

Le Dai, Yu Yin, Enhong Chen, Hui Xiong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Causal Inference.

Yanming Liu, Xinyue Peng, Jiannan Cao, Le Dai, Xingzu Liu, Ruilin Nong, Weihao Liu, Songhang Deng

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.

Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li

Proceedings of the ACM Web Conference 2023, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.

Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process.

Le Dai, Junyu Guo, Jia-Lun Wan, Jiang Wang, Xueping Zan

Reliab. Eng. Syst. Saf., 2022

PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing.

Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio.

Lijun Zha, Le Dai, Tong Xu, Di Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation.

Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong

Proceedings of the IEEE International Conference on Data Mining, 2022

2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.

Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020