Hongye Zheng

According to our database, Hongye Zheng authored at least 25 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies.

Xu Han, Yumeng Sun, Weiqiang Huang, Hongye Zheng, Junliang Du

CoRR, May, 2025

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks.

Hongye Zheng, Yue Xing, Lipeng Zhu, Xu Han, Junliang Du, Wanyu Cui

CoRR, May, 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

Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM.

Zhou Fang, Hanlu Zhang, Jacky He, Zhen Qi, Hongye Zheng

CoRR, March, 2025

A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization.

Dan Sun, Jacky He, Hanlu Zhang, Zhen Qi, Hongye Zheng, Xiaokai Wang

CoRR, March, 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

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models.

Xiaoxuan Liao, Chihang Wang, Shicheng Zhou, Jiacheng Hu, Hongye Zheng, Jia Gao

CoRR, January, 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

A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection.

Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

IEEE Access, 2025

2024

Improved approximation algorithm for the parallel-machine customer order scheduling with delivery time and submodular rejection penalties.

Bo Hou, Hongye Zheng, Wen Liu, Weili Wu, Ding-Zhu Du, Suogang Gao

Optim. Lett., September, 2024

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models.

Shuo Wang, Chihang Wang, Jia Gao, Zhen Qi, Hongye Zheng, Xiaoxuan Liao

CoRR, 2024

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks.

Jiacheng Hu, Xiaoxuan Liao, Jia Gao, Zhen Qi, Hongye Zheng, Chihang Wang

CoRR, 2024

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.

You Wu, Mengfang Sun, Hongye Zheng, Jinxin Hu, Yingbin Liang, Zhenghao Lin

CoRR, 2024

Stock Type Prediction Model Based on Hierarchical Graph Neural Network.

Jianhua Yao, Yuxin Dong, Jiajing Wang, Bingxing Wang, Hongye Zheng, Honglin Qin

CoRR, 2024

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models.

Zhen Qi, Jiajing Chen, Shuo Wang, Bingying Liu, Hongye Zheng, Chihang Wang

CoRR, 2024

Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training.

Jiajing Chen, Bingying Liu, Xiaoxuan Liao, Jia Gao, Hongye Zheng, Yue Li

CoRR, 2024

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation.

Jiajing Chen, Shuo Wang, Zhen Qi, Zhenhong Zhang, Chihang Wang, Hongye Zheng

CoRR, 2024

Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation.

Yuxin Dong, Shuo Wang, Hongye Zheng, Jiajing Chen, Zhenhong Zhang, Chihang Wang

CoRR, 2024

Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems.

Jiajing Chen, Runyuan Bao, Hongye Zheng, Zhen Qi, Jianjun Wei, Jiacheng Hu

CoRR, 2024

Reducing Bias in Deep Learning Optimization: The RSGDM Approach.

Honglin Qin, Hongye Zheng, Bingxing Wang, Zhizhong Wu, Bingyao Liu, Yuanfang Yang

CoRR, 2024

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function.

Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan

CoRR, 2024

2022

Approximation algorithm for the parallel-machine scheduling problem with release dates and submodular rejection penalties.

Hongye Zheng, Suogang Gao, Wen Liu, Weili Wu, Ding-Zhu Du, Bo Hou

J. Comb. Optim., 2022