Fault Diagnosis Method of Ningxia Photovoltaic Inverter Based on Wavelet Neural Network. - Guohua Yang; Pengzhen Wang; Bingxuan Li; Bo Lei; Hao Tang; Rui Li (LSMS/ICSEE (3), 2017)

Network Public Opinion Emotion Classification Based on Joint Deep Neural Network. - Xiaoling Xia; Wenjie Wang; Guohua Yang (ICCCS (1), 2018)

Attention Based Joint Model with Negative Sampling for New Slot Values Recognition. - Mulan Hou; Xiaojie Wang 006; Caixia Yuan; Guohua Yang; Shuo Hu; Yuanyuan Shi (IWSDS, 2018)

Genome-wide characterization of lncRNAs in acute myeloid leukemia. - Lijun Lei; Siyu Xia; Dan Liu; Xiaoqing Li; Jing Feng 005; Yaqi Zhu; Jun Hu; Linjian Xia; Lieping Guo; Fei Chen; Hui Cheng; Ke Chen 013; et al. (Briefings Bioinform., 2018)

Cascaded deep neural network models for dialog state tracking. - Guohua Yang; Xiaojie Wang 006 (Multim. Tools Appl., 2019)

Hierarchical Dialog State Tracking with Unknown Slot Values. - Guohua Yang; Xiaojie Wang 006; Caixia Yuan (Neural Process. Lett., 2019)

An Edge-Cloud Framework Equipped with Deep Learning Model for Recyclable Garbage Detection. - Qianqian Luo; Guohua Yang; Xiaofeng Zhao (CBD, 2020)

Self-supervised Graph Representation Learning via Bootstrapping. - Feihu Che; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Pengpeng Shao; Tong Liu (CoRR, 2020)

Multi-Level Graph Contrastive Learning. - Pengpeng Shao; Tong Liu; Dawei Zhang 001; Jianhua Tao 001; Feihu Che; Guohua Yang (CoRR, 2021)

Knowledge graph enhanced recommender system. - Zepeng Huai; Jianhua Tao 001; Feihu Che; Guohua Yang; Dawei Zhang 001 (CoRR, 2021)

Self-supervised graph representation learning via bootstrapping. - Feihu Che; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Tong Liu (Neurocomputing, 2021)

Enterprise distribution routing optimization with soft time windows based on genetic algorithm. - Kaixian Gao; Guohua Yang; Xiaobo Sun (J. Comput. Methods Sci. Eng., 2021)

Multi-aspect self-supervised learning for heterogeneous information network. - Feihu Che; Jianhua Tao 001; Guohua Yang; Tong Liu; Dawei Zhang 001 (Knowl. Based Syst., 2021)

Joint Event Extraction Based on CNN-BiGRU and Attention Mechanism. - Chao Shen; Jianhua Tao 001; Peng Li; Zhao Lv; Guohua Yang (CACML, 2022)

MixKG: Mixing for harder negative samples in knowledge graph. - Feihu Che; Guohua Yang; Pengpeng Shao; Dawei Zhang 001; Jianhua Tao 001 (CoRR, 2022)

Tucker decomposition-based temporal knowledge graph completion. - Pengpeng Shao; Dawei Zhang 001; Guohua Yang; Jianhua Tao 001; Feihu Che; Tong Liu (Knowl. Based Syst., 2022)

Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation. - Zepeng Huai; Guohua Yang; Jianhua Tao 001; Dawei Zhang 001 (ICONIP (4), 2023)

DEC: A deep-learning based edge-cloud orchestrated system for recyclable garbage detection. - Qianqian Luo; Zhenzhou Lin; Guohua Yang; Xiaofeng Zhao (Concurr. Comput. Pract. Exp., 2023)

Spatial-temporal knowledge graph network for event prediction. - Zepeng Huai; Dawei Zhang 001; Guohua Yang; Jianhua Tao 001 (Neurocomputing, 2023)

Lightning risk assessment of offshore wind farms by semi-supervised learning. - Qibin Zhou; Jingjie Ye; Guohua Yang; Ruanming Huang; Yang Zhao; Yudan Gu; Xiaoyan Bian (Eng. Appl. Artif. Intell., 2023)

Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction. - Shuaihu Han; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Feihu Che (ICANN (7), 2024)

What Comes Next and Why? A Staged Encoder-Decoder Architecture for Script Event Prediction. - Shuaihu Han; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001 (IJCNN, 2024)

APC: Predict Global Representation From Local Observation In Multi-Agent Reinforcement Learning. - Xiaoyang Li; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001 (IJCNN, 2024)