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ORCIDRong Gao 0001
Person information
- affiliation: Hubei University of Technology, Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Wuhan, China
- affiliation (PhD 2018): Wuhan University, School of Computer Science, China
Other persons with the same name
- Rong Gao — disambiguation page
- Rong Gao 0002 — Purdue University, School of Nuclear Engineering (NE), West Lafayette, IN, USA
- Rong Gao 0003
![[0000-0003-2267-3153]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2267-3153")
— Hebei University of Technology, School of Economics and Management, Tianjin, China (and 1 more)
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2020 – today
- 2026
[j34]Yonghong Yu, Zhiyu Wang, Yujie Liao, Li Zhang, Rong Gao:
Wasserstein distance-based graph contrastive learning for recommendation. Expert Syst. Appl. 297: 129427 (2026)- 2025
- [j33]Rong Gao, Zhiwei Chen, Xinyun Wu, Yonghong Yu, Li Zhang:
Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT. Clust. Comput. 28(1): 15 (2025) - [j32]Wenjing Chen, Lang Liu, Rong Gao:
Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral-Spatial Sequence Learning. Entropy 27(9): 959 (2025) - [j31]Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao:
Cluster search optimisation of deep neural networks for audio emotion classification. Knowl. Based Syst. 314: 113223 (2025) - [j30]Lingyu Yan, Jinquan Yang, Jinyao Xia, Rong Gao, Li Zhang, Jun Wan, Yuanyan Tang:
Self-supervised extracted contrast network for facial expression recognition. Multim. Tools Appl. 84(15): 14977-14996 (2025) - [j29]Rong Gao, Siqi Hu, Lingyu Yan, Lefei Zhang, Jia Wu:
CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer. Neural Networks 187: 107347 (2025) - [j28]Aoran Zhang, Yonghong Yu, Li Zhang, Rong Gao, Hongzhi Yin:
Contrastive Translation With Dynamical Temperature for Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 55(6): 4273-4285 (2025) - 2024
- [j27]Siwei Wei, Sichen Shen, Donghua Liu, Yanan Song, Rong Gao, Chunzhi Wang:
Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting. IEEE Access 12: 140611-140627 (2024) - [j26]Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye:
Contrastive graph learning long and short-term interests for POI recommendation. Expert Syst. Appl. 238(Part B): 121931 (2024) - [j25]Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao:
Video Deepfake classification using particle swarm optimization-based evolving ensemble models. Knowl. Based Syst. 289: 111461 (2024) - [j24]Jiarun Fu, Lingyu Yan, Yulin Peng, Kunpeng Zheng, Rong Gao, Hefei Ling:
Low-light image enhancement base on brightness attention mechanism generative adversarial networks. Multim. Tools Appl. 83(4): 10341-10365 (2024) - [j23]Yong Ouyang, Yuanlin Wang, Rong Gao, Yawen Zeng, Jinhang Liu, Zhiwei Ye:
Multi-level contrastive graph learning for academic abnormality prediction. Neural Comput. Appl. 36(7): 3681-3698 (2024) - [j22]Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao:
Contrastive Learning-Based Personalized Tag Recommendation. Sensors 24(18): 6061 (2024) - [j21]Zhiqi Zhang, Liyang Bao, Shao Xiang, Guangqi Xie, Rong Gao:
B2CNet: A Progressive Change Boundary-to-Center Refinement Network for Multitemporal Remote Sensing Images Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11322-11338 (2024) - [j20]Yonghong Yu, Aoran Zhang, Li Zhang, Rong Gao, Shang Gao, Hongzhi Yin:
Hyperbolic Translation-Based Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. 11(6): 7467-7483 (2024) - [j19]Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye:
Hybrid graph transformer networks for multivariate time series anomaly detection. J. Supercomput. 80(1): 642-669 (2024) - [j18]Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao:
Neural Inference Search for Multiloss Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15113-15127 (2024) - [c10]Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin:
Hyperbolic Adversarial Learning for Personalized Item Recommendation. DASFAA (3) 2024: 303-312 - 2023
- [j17]Yong Ouyang, Tuo Feng, Rong Gao, Yubin Xu, Jinghang Liu:
Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling. IEEE Access 11: 89881-89895 (2023) - [j16]Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye:
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation. Knowl. Based Syst. 270: 110528 (2023) - [j15]Chunzhi Wang, Zaoning Wang, Ke Li, Rong Gao, Lingyu Yan:
Lightweight object detection model fused with feature pyramid. Multim. Tools Appl. 82(1): 601-618 (2023) - [j14]Chunzhi Wang, Shaowen Xing, Rong Gao, Lingyu Yan, Naixue Xiong, Ruoxi Wang:
Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection. Sensors 23(3): 1104 (2023) - [j13]Rong Gao, Siqi Hu, Lingyu Yan, Li Zhang, Hang Ruan, Yonghong Yu, Zhiwei Ye:
High-order deep infomax-guided deformable transformer network for efficient lane detection. Signal Image Video Process. 17(6): 3045-3052 (2023) - [c9]Yuyin Tian, Rong Gao, Lingyu Yan, Donghua Liu, Zhiwei Ye:
Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection. IDAACS 2023: 1065-1070 - 2022
- [j12]Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao:
Neural Graph for Personalized Tag Recommendation. IEEE Intell. Syst. 37(1): 51-59 (2022) - [j11]Lingyu Yan, Menghan Sheng, Chunzhi Wang, Rong Gao, Han Yu:
Hybrid neural networks based facial expression recognition for smart city. Multim. Tools Appl. 81(1): 319-342 (2022) - [j10]Conor Wall, Li Zhang, Yonghong Yu, Akshi Kumar, Rong Gao:
A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs. Sensors 22(15): 5566 (2022) - [j9]Yonghong Yu, Weiwen Qian, Li Zhang, Rong Gao:
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information. Sensors 22(19): 7122 (2022) - [j8]Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao:
Deep Recommendation With Adversarial Training. IEEE Trans. Emerg. Top. Comput. 10(4): 1966-1978 (2022) - [c8]Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao:
Human Action Recognition Using Hybrid Deep Evolving Neural Networks. IJCNN 2022: 1-8 - [c7]Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye:
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. IJCNN 2022: 1-8 - 2021
- [j7]Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu:
A hybrid neural network approach to combine textual information and rating information for item recommendation. Knowl. Inf. Syst. 63(3): 621-646 (2021) - [c6]Rong Gao, Ke Li, Jinyao Xia, Lingyu Yan, Chunzhi Wang, Yucheng Zhang, Ming Wei, Xianjing Zhou:
Research on a Service-oriented Dynamic Adaptive Software Architecture. ICCSE 2021: 732-735 - [c5]Fan Bian, Lingyu Yan, Rong Gao, Kunpeng Zheng, Yucheng Zhang, Jie Yang:
A Static and Dynamic Co-attention Network for Social Recommendation. IDAACS 2021: 196-201 - 2020
- [j6]Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang:
HHA: An Attentive Prediction Model for Academic Abnormality. IEEE Access 8: 124755-124766 (2020) - [j5]Yong Ouyang, Yawen Zeng, Rong Gao, Yonghong Yu, Chunzhi Wang:
Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph. Appl. Intell. 50(10): 3023-3039 (2020) - [c4]Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao:
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j4]Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu:
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation. IEEE Access 7: 156804-156823 (2019) - [j3]Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang:
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. Complex. 2019: 3563674:1-3563674:16 (2019) - [c3]Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun:
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. ICDM 2019: 1048-1053 - [c2]Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao:
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. KDD 2019: 344-352 - 2018
- [j2]Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Yifei Zhou:
A personalized point-of-interest recommendation model via fusion of geo-social information. Neurocomputing 273: 159-170 (2018) - [j1]Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Jun Chang, Donghua Liu, Chunzhi Wang:
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation. Neurocomputing 319: 118-133 (2018) - [c1]Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang:
Geographical Proximity Boosted Recommendation Algorithms for Real Estate. WISE (2) 2018: 51-66
Coauthor Index
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