Ruochen Li
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Ruochen Li 001 (Macau University of Science and Technology, School of Computer Science and Engineering, Taipa, Macau)
- Ruochen Li 002 (Durham University, Department of Computer Science, Durham, UK)
- Ruochen Li 003 (Beijing Jiaotong University, Institute of Information Science, Beijing, China)
- Ruochen Li 004 (Hefei University of Technology, Hefei, Anhui, China)
- Ruochen Li 005 (Tsinghua University, Beijing, China)
- Ruochen Li 006 (Hangzhou Dianzi University, Hangzhou, Zhejiang, China)
- Ruochen Liang
- Ruochen Liao
- Ruochen Liu
- Ruochen Liu 001 (Central South University, Changsha, Hunan, China)
- Ruochen Liu 002 (National University of Defense Technology, Changsha, China)
- Ruochen Liu 003 (North China Institute of Science and Technology, Beijing, China)
- Ruochen Liu 004 (Oakland University, Rochester, Michigan, USA)
- Ruochen Liu 005 (Jiangsu University of Technology, Changzhou, Jiangsu, China)
- Ruochen Liu 006 (Xidian University, Xian, Shanxi, China)
- Ruochen Liu 007 (Beihang University, Beijing, China)
Bibliography
2026
CoRR, January, 2026
Quantifying the adaptability of China's dominant maize varieties to future climate change: A combined approach of crop modeling and explainable machine learning.
Comput. Electron. Agric., 2026
2025
Modeling tourists preferences through online reviews: an UPL-PT-MULTIMOORA-EDAS group decision method for wellness scenic spots selection.
Int. J. Mach. Learn. Cybern., June, 2025
CoRR, June, 2025
CoRR, June, 2025
CoRR, March, 2025
CoRR, January, 2025
RT-DIFTWD: A novel data-driven intuitionistic fuzzy three-way decision model with regret theory.
Inf. Sci., 2025
Primary-Attribute-Migration-Based Anomalous Event Detection in Digital-Twin-Enabled Device-Edge-Cloud Network.
IEEE Internet Things J., 2025
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2025
2024
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
2023
An improved LSTM-based model for identifying high working intensity load segments of the tractor load spectrum.
Comput. Electron. Agric., July, 2023
Exploring the destination image based on the perspective of tourists' expression using machine learning methods combined with PLTS-PT.
Soft Comput., May, 2023
Current status, application, and challenges of the interpretability of generative adversarial network models.
Comput. Intell., April, 2023
Quality prediction of tractor rotary tillage based on BiConvLSTM with self-attention.
Comput. Electron. Agric., March, 2023
2021
A code clone detection algorithm based on graph convolution network with AST tree edge.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
2020
Neural Networks, 2020
Hierarchical multi-task learning with CRF for implicit discourse relation recognition.
Knowl. Based Syst., 2020
2018
Study on the Construction of Learning Map Based on Integrated Supplementary Teaching Materials.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018
2016
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling.
Proceedings of the COLING 2016, 2016