Ruimeng Li

According to our database, Ruimeng Li authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity prediction.

Ruimeng Li, Ying Wang, Haozhou Li, Biyi Zhou, Qinke Peng

BMC Bioinform., December, 2026

SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning.

Haozhou Li, Qinke Peng, Xu Mou, Zeyuan Zeng, Ruimeng Li, Jinzhi Wang, Wentong Sun

Inf. Process. Manag., 2026

LumiCRS: Asymmetric contrastive prototype learning for long-tail conversational recommender systems.

Jinzhi Wang, Bin Li, Qingke Peng, Haozhou Li, Zeyuan Zeng, Ruimeng Li, Kaixuan Yang, Jiangbo Zhang, Biyi Zhou, Yaoying Wang

Appl. Soft Comput., 2026

2025

Accelerating smart manufacturing technology adoption: an interdependency perspective on technology adoption.

Ruimeng Li, Chunping Long, Jianhong He, Lin Li

Technol. Anal. Strateg. Manag., December, 2025

A Finetuning Deep Learning Framework for Pan-Species Promoters Identification With Pseudo Time Series Analysis on Time and Frequency Space.

Ruimeng Li, Qinke Peng, Haozhou Li, Wentong Sun

IEEE J. Biomed. Health Informatics, September, 2025

ElectriQ: A Benchmark for Assessing the Response Capability of Large Language Models in Power Marketing.

Jinzhi Wang, Qingke Peng, Haozhou Li, Zeyuan Zeng, Qinfeng Song, Kaixuan Yang, Jiangbo Zhang, Yaoying Wang, Ruimeng Li, Biyi Zhou

CoRR, July, 2025

Invariant representation learning via decoupling style and spurious features.

Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian

Mach. Learn., January, 2025

Dynamic Graph Attention Meets Pretrained Language Models: Adaptive K-Mer Decomposition for LncRNA-Protein Interaction Prediction.

Zeyuan Zeng, Jingxian Zeng, Defu Li, Qinke Peng, Haozhou Li, Ruimeng Li, Wentong Sun, Qingbo Zhang, Jinzhi Wang

IEEE Trans. Comput. Biol. Bioinform., 2025

Compound Interaction Presentation Learning for MHC-Peptide Binding Affinity Prediction.

Ruimeng Li, Qinke Peng, Haozhou Li, Zeyuan Zeng, Tian Han

IEEE Trans. Comput. Biol. Bioinform., 2025

CSTE: A Context-enhanced Speaker-aware Triple Encoding model for intelligent triage and diagnosis in medical dialogue.

Haozhou Li, Qinke Peng, Xinyuan Wang, Wentong Sun, Defu Li, Ruimeng Li

Inf. Process. Manag., 2025

ESM2_AMP: an interpretable framework for protein-protein interactions prediction and biological mechanism discovery.

Yawen Sun, Rui Wang, Zeyu Luo, Lejia Tan, Junhao Liu, Ruimeng Li, Dongqing Wei, Yu-Juan Zhang

Briefings Bioinform., 2025

2024

Graph Neural Networks With High-Order Polynomial Spectral Filters.

Zeyuan Zeng, Qinke Peng, Xu Mou, Ying Wang, Ruimeng Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

2023

Influence of knowledge flow and knowledge stock on the technological niche through absorptive capacity in the R&D network.

Na Jin, Naiding Yang, Sayed Muhammad Fawad Sharif, Ruimeng Li, Juan Du

Technol. Anal. Strateg. Manag., December, 2023

The robustness of complex product development projects under design change risk propagation with gray attack information.

Ruimeng Li, Naiding Yang, Hao Yi, Na Jin

Reliab. Eng. Syst. Saf., July, 2023

Invariant Representation Learning via Decoupling Style and Spurious Features.

Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian

CoRR, 2023

2022

Towards understanding dynamic design change propagation in complex product development via complex network approach.

Ruimeng Li, Hao Yi, Huajun Cao

Int. J. Prod. Res., 2022

2021

Using combined network-based approaches to analyze risk interactions in R&D alliance.

Hui Liu, Naiding Yang, Zhao Yang, Yanlu Zhang, Ruimeng Li

J. Oper. Res. Soc., 2021

2020

Risk propagation and mitigation of design change for complex product development (CPD) projects based on multilayer network theory.

Ruimeng Li, Naiding Yang, Yanlu Zhang, Hui Liu

Comput. Ind. Eng., 2020