Human Pose Estimation via Deep Part Detection. - Xiangyang Wang 003; Jiacheng Hu; Yusu Jin; Zhi Liu 003; Xiaoqiang Zhu; Qiuyu Zhu; Haiwu Zhao (IFTC, 2017)

The Surviving Rate of IC-Planar Graphs. - Xiaoxue Hu; Jiacheng Hu; Jiangxu Kong (Symmetry, 2022)

Time-frequency Analysis and Convolutional Neural Network Based Fuze Jamming Signal Recognition. - Jikai Yang; Zhiquan Bai; Jiacheng Hu; Yingchao Yang; Zhaoxia Xian; Xinhong Hao; Kyung Sup Kwak (ICACT, 2023)

DNN and LS Based Channel Estimation in OTFS System. - Jiacheng Hu; Zhiquan Bai; Jikai Yang; Yueying Cai; Di Zhou; Yingxun Wang; Kyung Sup Kwak (ICCT, 2023)

Plane graphs of diameter two are 2-optimal. - Jiangxu Kong; Yiqiao Wang 002; Jiacheng Hu; Yang Wang 107; Weifan Wang 001 (Appl. Math. Comput., 2023)

Forecasting Regional Ionospheric TEC Maps over China Using BiConvGRU Deep Learning. - Jun Tang 004; Zhengyu Zhong; Jiacheng Hu; Xuequn Wu (Remote. Sens., 2023)

Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection. - Weijie He; Runyuan Bao; Yiru Cang; Jianjun Wei; Yang Zhang; Jiacheng Hu (ICBASE, 2024)

Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation. - Mingxiu Sui; Jiacheng Hu; Tong Zhou; Zibo Liu; Likang Wen; Junliang Du (ICBASE, 2024)

Research on Dynamic Data Flow Anomaly Detection based on Machine Learning. - Liyang Wang; Yu Cheng; Hao Gong; Jiacheng Hu; Xirui Tang; Iris Li (CoRR, 2024)

Improving Academic Skills Assessment with NLP and Ensemble Learning. - Zhengpei Cheng; Yingyi Wu; Danyang Zhang; Jiacheng Hu; Yujian Long (CoRR, 2024)

Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm. - Guanming Huang; Aoran Shen; Yuxiang Hu; Junliang Du; Jiacheng Hu; Yingbin Liang (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)

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study. - Jiacheng Hu; Yiru Cang; Guiran Liu; Meiqi Wang; Weijie He; Runyuan Bao (CoRR, 2024)

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis. - Junliang Du; Yiru Cang; Tong Zhou; Jiacheng Hu; Weijie He (CoRR, 2024)

Artistic Neural Style Transfer Algorithms with Activation Smoothing. - Xiangtian Li; Han Cao; Zhaoyang Zhang; Jiacheng Hu; Yuhui Jin; Zihao Zhao (CoRR, 2024)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs. - Junliang Du; Guiran Liu; Jia Gao; Xiaoxuan Liao; Jiacheng Hu; Linxiao Wu (CoRR, 2024)

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches. - Yinqiu Feng; Aoran Shen; Jiacheng Hu; Yingbin Liang; Shiru Wang; Junliang Du (CoRR, 2024)

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data. - Aoran Shen; Minghao Dai; Jiacheng Hu; Yingbin Liang; Shiru Wang; Junliang Du (CoRR, 2024)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing. - Wenyi Liu; Ziqi Zhang 004; Xinshi Li; Jiacheng Hu; Yuanshuai Luo; Junliang Du (CoRR, 2024)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs. - Jiacheng Hu; Zhen Qi; Jianjun Wei; Jiajing Chen; Runyuan Bao; Xinyu Qiu (CoRR, 2024)

Accurate Medical Named Entity Recognition Through Specialized NLP Models. - Jiacheng Hu; Runyuan Bao; Yang Lin; Hanchao Zhang; Yanlin Xiang (CoRR, 2024)

Detecting and Classifying Defective Products in Images Using YOLO. - Zhen Qi; Liwei Ding; Xiangtian Li; Jiacheng Hu; Bin Lyu; Ao Xiang (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)

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data. - Weijie He; Tong Zhou; Yanlin Xiang; Yang Lin; Jiacheng Hu; Runyuan Bao (CoRR, 2024)

Unified seam tracking algorithm via three-point weld representation for autonomous robotic welding. - Shuangfei Yu; Yisheng Guan; Jiacheng Hu; Jie Hong; Haifei Zhu; Tao Zhang 064 (Eng. Appl. Artif. Intell., 2024)

Cross-Domain Channel Estimation Based Serial Interference Cancellation in NOMA-OTFS System. - Jiacheng Hu; Zhiquan Bai; Hao Xu; Hongwu Liu; Yingxun Wang; Kyung Sup Kwak (IEEE Commun. Lett., 2024)

In Situ Pipe Prover Volume Measurement Method. - Jiacheng Hu; Weikang Zhou; Aijun Chen; Jiale Cai; Jing Yu; Zhengzhiyong Cui; Dongsheng Li (Sensors, 2024)

FM-Based Positioning via Deep Learning. - Shilian Zheng; Jiacheng Hu; Luxin Zhang; Kunfeng Qiu; Jie Chen; Peihan Qi; Zhijin Zhao; Xiaoniu Yang (IEEE J. Sel. Areas Commun., 2024)

A real-time multiple tunneling parameter prediction method of TBM steady phase based on dual recurrent neural networks. - Shuangfei Yu; Jinchang Xu; Jiacheng Hu; Jian Li 057; Jiabin Liu; Haowen Chen; Yisheng Guan; Kun Xu 007; Tao Zhang 064 (Neural Comput. Appl., 2024)

Target Fitting Method for Spherical Point Clouds Based on Projection Filtering and K-Means Clustered Voxelization. - Zhe Wang; Jiacheng Hu; Yushu Shi; Jinhui Cai; Lei Pi (Sensors, 2024)

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 Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models. - Junliang Du; Shiyu Dou; Bohuan Yang; Jiacheng Hu; Tai An (CoRR, 2025)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion. - Jiacheng Hu; Tai An; Zidong Yu; Junliang Du; Yuanshuai Luo (CoRR, 2025)

Multi-Scale Transformer Architecture for Accurate Medical Image Classification. - Jiacheng Hu; Yanlin Xiang; Yang Lin; Junliang Du; Hanchao Zhang; Houze Liu (CoRR, 2025)

A Deep Learning Approach to Interface Color Quality Assessment in HCI. - Shixiao Wang; Runsheng Zhang; Junliang Du; Ran Hao; Jiacheng Hu (CoRR, 2025)

A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data. - Ran Hao; Yanlin Xiang; Junliang Du; Qingyuan He; Jiacheng Hu; Ting Xu (CoRR, 2025)

Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation. - Yanlin Xiang; Qingyuan He; Ting Xu; Ran Hao; Jiacheng Hu; Hanchao Zhang (CoRR, 2025)

A Deep Learning Framework for Boundary-Aware Semantic Segmentation. - Tai An; Weiqiang Huang; Da Xu; Qingyuan He; Jiacheng Hu; Yujia Lou (CoRR, 2025)

Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction. - Jiacheng Hu; Bo Zhang; Ting Xu; Haifeng Yang; Min Gao (CoRR, 2025)