4 citations · 6 across the 4 of their papers we have counts for
4 papers
Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization
Fei Xu Yu, Gina Adam, Nathaniel D. Bastian +1
Mathematical optimization is a core tool in engineering, operations research, and data science, but modeling real problems remains difficult and time-consuming. In practice, an exp…
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
Jingdi Chen, Hanhan Zhou, Yongsheng Mei +4
Deep Reinforcement Learning (DRL) algorithms have achieved great success in solving many challenging tasks while their black-box nature hinders interpretability and real-world appl…
Real-time Network Intrusion Detection via Decision Transformers
Jingdi Chen, Hanhan Zhou, Yongsheng Mei +3
Many cybersecurity problems that require real-time decision-making based on temporal observations can be abstracted as a sequence modeling problem, e.g., network intrusion detectio…
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture
Jingdi Chen, Lei Zhang, Joseph Riem +3
Deep Learning (DL) based methods have shown great promise in network intrusion detection by identifying malicious network traffic behavior patterns with high accuracy, but their ap…