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Guohua Yang
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2020 – today
- 2024
- [c9]Shuaihu Han, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che:
Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction. ICANN (7) 2024: 277-291 - [c8]Shuaihu Han, Guohua Yang, Dawei Zhang, Jianhua Tao:
What Comes Next and Why? A Staged Encoder-Decoder Architecture for Script Event Prediction. IJCNN 2024: 1-9 - [c7]Xiaoyang Li, Guohua Yang, Dawei Zhang, Jianhua Tao:
APC: Predict Global Representation From Local Observation In Multi-Agent Reinforcement Learning. IJCNN 2024: 1-8 - 2023
- [j10]Qianqian Luo
, Zhenzhou Lin, Guohua Yang, Xiaofeng Zhao:
DEC: A deep-learning based edge-cloud orchestrated system for recyclable garbage detection. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j9]Qibin Zhou, Jingjie Ye
Lightning risk assessment of offshore wind farms by semi-supervised learning. Eng. Appl. Artif. Intell. 126: 107050 (2023) - [j8]Zepeng Huai, Dawei Zhang, Guohua Yang, Jianhua Tao:
Spatial-temporal knowledge graph network for event prediction. Neurocomputing 553: 126557 (2023) - [c6]Zepeng Huai, Guohua Yang, Jianhua Tao, Dawei Zhang:
Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation. ICONIP (4) 2023: 284-297 - 2022
- [j7]Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu:
Tucker decomposition-based temporal knowledge graph completion. Knowl. Based Syst. 238: 107841 (2022) - [c5]Chao Shen, Jianhua Tao, Peng Li, Zhao Lv
Joint Event Extraction Based on CNN-BiGRU and Attention Mechanism. CACML 2022: 492-497 - [i5]Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao:
MixKG: Mixing for harder negative samples in knowledge graph. CoRR abs/2202.09606 (2022) - 2021
- [j6]Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu:
Self-supervised graph representation learning via bootstrapping. Neurocomputing 456: 88-96 (2021) - [j5]Kaixian Gao, Guohua Yang, Xiaobo Sun:
Enterprise distribution routing optimization with soft time windows based on genetic algorithm. J. Comput. Methods Sci. Eng. 21(3): 775-785 (2021) - [j4]Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang:
Multi-aspect self-supervised learning for heterogeneous information network. Knowl. Based Syst. 233: 107474 (2021) - [i4]Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang:
Multi-Level Graph Contrastive Learning. CoRR abs/2107.02639 (2021) - [i3]Zepeng Huai, Jianhua Tao, Feihu Che, Guohua Yang, Dawei Zhang:
Knowledge graph enhanced recommender system. CoRR abs/2112.09425 (2021) - 2020
- [c4]Qianqian Luo, Guohua Yang, Xiaofeng Zhao:
An Edge-Cloud Framework Equipped with Deep Learning Model for Recyclable Garbage Detection. CBD 2020: 248-252 - [i2]Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu:
Self-supervised Graph Representation Learning via Bootstrapping. CoRR abs/2011.05126 (2020) - [i1]Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu:
Tucker decomposition-based Temporal Knowledge Graph Completion. CoRR abs/2011.07751 (2020)
2010 – 2019
- 2019
- [j3]Guohua Yang
Cascaded deep neural network models for dialog state tracking. Multim. Tools Appl. 78(8): 9625-9643 (2019) - [j2]Guohua Yang
Hierarchical Dialog State Tracking with Unknown Slot Values. Neural Process. Lett. 50(2): 1611-1625 (2019) - 2018
- [j1]Lijun Lei, Siyu Xia
Genome-wide characterization of lncRNAs in acute myeloid leukemia. Briefings Bioinform. 19(4): 627-635 (2018) - [c3]Xiaoling Xia, Wenjie Wang, Guohua Yang:
Network Public Opinion Emotion Classification Based on Joint Deep Neural Network. ICCCS (1) 2018: 709-718 - [c2]Mulan Hou, Xiaojie Wang, Caixia Yuan, Guohua Yang, Shuo Hu, Yuanyuan Shi:
Attention Based Joint Model with Negative Sampling for New Slot Values Recognition. IWSDS 2018: 3-15 - 2017
- [c1]Guohua Yang, Pengzhen Wang, Bingxuan Li, Bo Lei, Hao Tang, Rui Li:
Fault Diagnosis Method of Ningxia Photovoltaic Inverter Based on Wavelet Neural Network. LSMS/ICSEE (3) 2017: 178-184
Coauthor Index
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