Binrong Zhu

According to our database, Binrong Zhu authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection.

William Pan, Guiran Liu, Binrong Zhu, Qun Wang, Yingzhou Lu, Beiyu Lin, Rose Qingyang Hu

CoRR, January, 2026

A Modular Approach to Automated Archery Coaching for Action Quality Assessment and Feedback Generation Using Large Language Models.

Yunyixuan Zhang, Haoran Wang, Binrong Zhu, Xiaozhi Li, Siyu Xia

Inf., 2026

MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion.

Jinlong Xie, Liping Zhang, Long Cheng, Jian Yao, Pengjiang Qian, Binrong Zhu, Guiran Liu

Inf. Fusion, 2026

2025

LLM Assisted Alpha Fairness for 6 GHz WiFi and NR_U Coexistence: An Agentic Orchestrator for Throughput, Energy, and SLA.

Qun Wang, Yingzhou Lu, Guiran Liu, Binrong Zhu, Yang Liu

CoRR, October, 2025

ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning.

Binrong Zhu, Guiran Liu, Nina Jiang

CoRR, October, 2025

Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models.

Hongye Zheng, Yichen Wang, Ray Pan, Guiran Liu, Binrong Zhu, Hanlu Zhang

CoRR, June, 2025

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning.

Hanlu Zhang, Yumeng Ma, Shuo Wang, Guiran Liu, Binrong Zhu

CoRR, April, 2025

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models.

Jacky He, Guiran Liu, Binrong Zhu, Hanlu Zhang, Hongye Zheng, Xiaokai Wang

CoRR, April, 2025

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction.

Xiaokai Wang, Guiran Liu, Binrong Zhu, Jacky He, Hongye Zheng, Hanlu Zhang

CoRR, April, 2025

A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Tasks.

Xiaoxuan Liao, Binrong Zhu, Jacky He, Guiran Liu, Hongye Zheng, Jia Gao

CoRR, February, 2025

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning.

Jia Gao, Shuangquan Lyu, Guiran Liu, Binrong Zhu, Hongye Zheng, Xiaoxuan Liao

CoRR, February, 2025

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer.

Jia Gao, Guiran Liu, Binrong Zhu, Shicheng Zhou, Hongye Zheng, Xiaoxuan Liao

CoRR, January, 2025

2024

A Review of Intelligent Device Fault Diagnosis Technologies Based on Machine Vision.

Guiran Liu, Binrong Zhu

CoRR, 2024

Dynamic EEG-fMRI mapping: Revealing the relationship between brain connectivity and cognitive state.

Guiran Liu, Binrong Zhu

CoRR, 2024

Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications.

Shaobo Liu, Guiran Liu, Binrong Zhu, Yuanshuai Luo, Linxiao Wu, Rui Wang

Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024

Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature.

Linxiao Wu, Yuanshuai Luo, Binrong Zhu, Guiran Liu, Rui Wang, Qian Yu

Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024