Longfei Li

Zhengzhou University — China

Computer Science · Physical Sciences

16h-index1.4kcitations70works3.52yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning and Data Classification(14), Topic Modeling(13), Domain Adaptation and Few-Shot Learning(11), Advanced Graph Neural Networks(7), Anomaly Detection Techniques and Applications(7)

Publications70 total

Effect of Ti micro-alloying on the discharge performance of Al-Mg-In and Al-Mg-Sn anodes for aluminum-air batteries
Journal of Energy Storage·2025· 4 cited
Load transfer law and bearing capacity of the anchorage interface based on a three-stage model
Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana·2025Open Access
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
Lecture notes in computer science·2025
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
arXiv (Cornell University)·2024Open Access
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 5 citedOpen Access
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 19 citedOpen Access
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
arXiv (Cornell University)·2024Open Access
Task-Adaptive Neuromorphic Computing Using Reconfigurable Organic Neuristors with Tunable Plasticity and Logic-in-Memory Operations
The Journal of Physical Chemistry Letters·2024· 12 cited
Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies
arXiv (Cornell University)·2024· 1 citedOpen Access
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
arXiv (Cornell University)·2024· 1 citedOpen Access
Tracking treatment effect heterogeneity in evolving environments
Machine Learning·2024· 1 citedOpen Access
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
2024
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
arXiv (Cornell University)·2023· 1 citedOpen Access
Intelligent Virtual Assistants with LLM-based Process Automation
arXiv (Cornell University)·2023· 2 citedOpen Access
Spatial Decomposition and Aggregation for Attention in Convolutional Neural Networks
International Journal of Pattern Recognition and Artificial Intelligence·2023
Data-Centric Financial Large Language Models
arXiv (Cornell University)·2023· 5 citedOpen Access
A distribution-free method for probabilistic prediction
Expert Systems with Applications·2023Open Access
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
arXiv (Cornell University)·2023Open Access
Enhancing Recommender Systems with Large Language Model Reasoning Graphs
arXiv (Cornell University)·2023· 13 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Jun Zhou(21), Yalin Zhang(10), Zhixuan Chu(9), Chaochao Chen(7), Xiaolong Li(7), Qitao Shi(6), Zhi‐Hua Zhou(5), Jinjie Gu(5), Lili Yuan(4), Peng Xie(4), Lijuan Liu(4), Yimin Wang(4), Lei Qu(4), Hui Gong(4), Wan Wan(4), Feng Xiong(4), Michael Hawrylycz(4), Yefeng Zheng(4), Qingming Luo(4), Hongkui Zeng(4)