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2020 – today
- 2025
[i13]Jia Gao, Guiran Liu, Binrong Zhu, Shicheng Zhou, Hongye Zheng, Xiaoxuan Liao:
Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer. CoRR abs/2501.13467 (2025)- [i12]Xiaoxuan Liao, Chihang Wang, Shicheng Zhou, Jiacheng Hu, Hongye Zheng, Jia Gao:
Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models. CoRR abs/2501.14859 (2025) - 2024
- [j2]Bo Hou, Hongye Zheng, Wen Liu, Weili Wu, Ding-Zhu Du, Suogang Gao:
Improved approximation algorithm for the parallel-machine customer order scheduling with delivery time and submodular rejection penalties. Optim. Lett. 18(7): 1747-1754 (2024) - [i11]Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan:
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function. CoRR abs/2408.11839 (2024) - [i10]Honglin Qin, Hongye Zheng, Bingxing Wang, Zhizhong Wu, Bingyao Liu, Yuanfang Yang:
Reducing Bias in Deep Learning Optimization: The RSGDM Approach. CoRR abs/2409.15314 (2024) - [i9]Jiajing Chen, Runyuan Bao, Hongye Zheng, Zhen Qi, Jianjun Wei, Jiacheng Hu:
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems. CoRR abs/2410.14167 (2024) - [i8]Yuxin Dong, Shuo Wang, Hongye Zheng, Jiajing Chen, Zhenhong Zhang, Chihang Wang:
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation. CoRR abs/2411.03572 (2024) - [i7]Jiajing Chen, Shuo Wang, Zhen Qi, Zhenhong Zhang, Chihang Wang, Hongye Zheng:
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation. CoRR abs/2411.12157 (2024) - [i6]Jiajing Chen, Bingying Liu, Xiaoxuan Liao, Jia Gao, Hongye Zheng, Yue Li:
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training. CoRR abs/2412.04718 (2024) - [i5]Zhen Qi, Jiajing Chen, Shuo Wang, Bingying Liu, Hongye Zheng, Chihang Wang:
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models. CoRR abs/2412.06249 (2024) - [i4]Jianhua Yao, Yuxin Dong, Jiajing Wang, Bingxing Wang, Hongye Zheng, Honglin Qin:
Stock Type Prediction Model Based on Hierarchical Graph Neural Network. CoRR abs/2412.06862 (2024) - [i3]You Wu, Mengfang Sun, Hongye Zheng, Jinxin Hu, Yingbin Liang, Zhenghao Lin:
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems. CoRR abs/2412.10199 (2024) - [i2]Jiacheng Hu, Xiaoxuan Liao, Jia Gao, Zhen Qi, Hongye Zheng, Chihang Wang:
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks. CoRR abs/2412.18729 (2024) - [i1]Shuo Wang, Chihang Wang, Jia Gao, Zhen Qi, Hongye Zheng, Xiaoxuan Liao:
Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models. CoRR abs/2412.19449 (2024) - 2022
- [j1]Hongye Zheng, Suogang Gao, Wen Liu, Weili Wu, Ding-Zhu Du, Bo Hou:
Approximation algorithm for the parallel-machine scheduling problem with release dates and submodular rejection penalties. J. Comb. Optim. 44(1): 343-353 (2022)
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