Zefang Liu - RankMe

24 papers Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ReHear: Iterative Pseudo-Label Refinement for Semi-Supervised Speech Recognition via Audio Large Language Models. CoRR Zefang Liu, Chenyang Zhu, Sangwoo Cho, Shi-Xiong Zhang
2025	J	`jnl`	AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding. CoRR Arman Anwar, Zefang Liu
2025	—	`conf`	AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation. ICDM (Workshops) Zefang Liu, Arman Anwar
2025	J	`jnl`	AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation. CoRR Zefang Liu, Arman Anwar
2025	—	`conf`	AutoBnB: Multi-Agent Incident Response with Large Language Models. ISDFS Zefang Liu
2025	J	`jnl`	EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments. CoRR Zefang Liu, Yinzhu Quan
2025	J	`jnl`	Optimizing External Sources for Controlled Burning Plasma in Tokamaks with Neural Ordinary Differential Equations. CoRR Zefang Liu, Weston M. Stacey
2025	J	`jnl`	Sensitivity Analysis of Transport and Radiation in NeuralPlasmaODE for ITER Burning Plasmas. CoRR Zefang Liu, Weston M. Stacey
2025	J	`jnl`	Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models. CoRR Zefang Liu, Nam H. Nguyen, Yinzhu Quan, Shi-Xiong Zhang
2024	—	`conf`	A Review of Advancements and Applications of Pre-Trained Language Models in Cybersecurity. ISDFS Zefang Liu
2024	J	`jnl`	AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts. CoRR Zefang Liu, Jiahua Luo
2024	J	`jnl`	Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics. CoRR Zefang Liu, Weston M. Stacey
2024	J	`jnl`	Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis. CoRR Zefang Liu, Weston M. Stacey
2024	—	`conf`	EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning. EMNLP (Findings) Yinzhu Quan, Zefang Liu
2024	J	`jnl`	EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning. CoRR Yinzhu Quan, Zefang Liu
2024	J	`jnl`	Efficient Retrieval of Temporal Event Sequences from Textual Descriptions. CoRR Zefang Liu, Yinzhu Quan
2024	J	`jnl`	InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains. CoRR Yinzhu Quan, Zefang Liu
2024	J	`jnl`	Multi-Agent Collaboration in Incident Response with Large Language Models. CoRR Zefang Liu
2024	J	`jnl`	TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models. CoRR Zefang Liu, Yinzhu Quan
2023	—	`conf`	Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches. CAMLIS Zefang Liu, John F. Buford
2023	J	`jnl`	Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches. CoRR Zefang Liu, John F. Buford
2023	J	`jnl`	SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security. CoRR Zefang Liu
2021	J	`jnl`	Deep Reinforcement Learning based Group Recommender System. CoRR Zefang Liu, Shuran Wen, Yinzhu Quan
2020	J	`jnl`	Yelp Review Rating Prediction: Machine Learning and Deep Learning Models. CoRR Zefang Liu