Approximation algorithm for the parallel-machine scheduling problem with release dates and submodular rejection penalties. - Hongye Zheng; Suogang Gao; Wen Liu 009; Weili Wu 001; Ding-Zhu Du; Bo Hou (J. Comb. Optim., 2022)

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)

Reducing Bias in Deep Learning Optimization: The RSGDM Approach. - Honglin Qin; Hongye Zheng; Bingxing Wang; Zhizhong Wu; Bingyao Liu; Yuanfang Yang (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)

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)

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)

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)

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)

Stock Type Prediction Model Based on Hierarchical Graph Neural Network. - Jianhua Yao 008; Yuxin Dong; Jiajing Wang; Bingxing Wang; Hongye Zheng; Honglin Qin (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)

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)

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)

Improved approximation algorithm for the parallel-machine customer order scheduling with delivery time and submodular rejection penalties. - Bo Hou; Hongye Zheng; Wen Liu 009; Weili Wu 001; Ding-Zhu Du; Suogang Gao (Optim. Lett., 2024)

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)

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, 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, 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, 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, 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, 2025)

Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM. - Zhou Fang; Hanlu Zhang; Jacky He; Zhen Qi; Hongye Zheng (CoRR, 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, 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, 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, 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, 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, 2025)