| 2023 | Tigrinya OCR: Applying CRNN for Text Recognition. | Aaron Afewerki Hailu, Abiel Tesfamichael Hayleslassie, Danait Weldu Gebresilasie, Robel Estifanos Haile, Tesfana Tekeste Ghebremedhin, Yemane Keleta Tedla |
| 2023 | UATR: An Uncertainty Aware Two-Stage Refinement Model for Targeted Sentiment Analysis. | Xiaoting Guo, Qingsong Yin, Wei Yu, Qingbing Ji, Wei Xiao, Tao Chang, Xiaodong Wang |
| 2023 | WCA-VFnet: A Dedicated Complex Forest Smoke Fire Detector. | Xingran Guo, Haizheng Yu, Xueying Liao |
| 2023 | Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks. | Shijun Guo, Haoran Xu, Guangqiang Xie, Di Wen, Yangru Huang, Peixi Peng |
| 2023 | Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. | Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang |
| 2023 | Self-supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation. | Yixing Guo, Weimin Li, Jingchao Wang, Shaohua Li |
| 2023 | Attribution of Adversarial Attacks via Multi-task Learning. | Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji |
| 2023 | Channel Attention Separable Convolution Network for Skin Lesion Segmentation. | Changlu Guo, Jiangyan Dai, Mrton Szemenyei, Yugen Yi |
| 2023 | Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. | Yanan Guo, Xiaoqun Cao, Mengge Zhou, Kecheng Peng, Wenlong Tian |
| 2023 | CInvISP: Conditional Invertible Image Signal Processing Pipeline. | Duanling Guo, Kan Chang, Yahui Tang, Mingyang Ling, Minghong Li |
| 2023 | Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery Through Fine-Tuning of Object Detection Models. | Jade Eva Guisiano, ric Moulines, Thomas Lauvaux, Jrmie Sublime |
| 2023 | Multiclass Classification and Defect Detection of Steel Tube Using Modified YOLO. | Deepti Raj G, B. Prabadevi, Thippa Reddy Gadekallu, Surbhi Bhatia Khan, Mohammed Saraee |
| 2023 | Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion. | Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao |
| 2023 | A Joint Identification Network for Legal Event Detection. | Shutao Gong, Xudong Luo |
| 2023 | Identifying Self-admitted Technical Debt with Context-Based Ladder Network. | Aiyue Gong, Fumiyo Fukumoto, Panitan Muangkammuen, Jiyi Li, Dongjin Yu |
| 2023 | Hazardous Driving Scenario Identification with Limited Training Samples. | Zhen Gao, Liyou Wang, Jingning Xu, Rongjie Yu, Li Wang |
| 2023 | How Legal Knowledge Graph Can Help Predict Charges for Legal Text. | Shang Gao, Rina Sa, Yanling Li, Fengpei Ge, Haiqing Yu, Sukun Wang, Zhongyi Miao |
| 2023 | An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application. | Cunnian Gao, Hao Ren, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui, Bei Sun, Keke Huang |
| 2023 | Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection. | Caili Gao, Peng Qiao, Yong Dou, Qisheng Xu, Xifu Qian, Wenyu Li |
| 2023 | Graph Convolutional Network Based Feature Constraints Learning for Cross-Domain Adaptive Recommendation. | Yibo Gao, Zhen Liu, Xinxin Yang, Yilin Ding, Sibo Lu, Ying Ma |
| 2023 | Jointly Extractive and Abstractive Training Paradigm for Text Summarization. | Yang Gao, Shasha Li, Pancheng Wang, Ting Wang |
| 2023 | MFSFFuse: Multi-receptive Field Feature Extraction for Infrared and Visible Image Fusion Using Self-supervised Learning. | Xueyan Gao, Shiguang Liu |
| 2023 | Mutually Guided Dendritic Neural Models. | Yanzi Feng, Jian Wang, Peng Ren, Sergey Ablameyko |
| 2023 | GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis. | Xueqing Fan, Chao Zhang, Arun Kumar Sangaiah, Yuting Cheng, Anna Wang, Liyin Wang |
| 2023 | Pre-trained Financial Model for Price Movement Forecasting. | Chenyou Fan, Tianqi Pang, Aimin Huang |