Rong Gao

49 papers A* 2B 3Journal 39Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Crossmodal Hierarchical Heterogeneous Graph Guided Mamba Network for remote sensing semantic segmentation.
Clust. Comput.
Rong Gao, Qingyang Feng, Jinshan Cao, Xiaoxiao Feng, Jing Wang, Lingyu Yan
2026 J jnl
Multi-scale GroupMamba for spectral super-resolution from single RGB image.
J. King Saud Univ. Comput. Inf. Sci.
Wenjing Chen, Mingtao Zhong, Rong Gao, Lingyu Yan, Zhiwei Ye
2026 J jnl
SDLK-Net: Enhanced squeezed directional large kernel multi-scale multi-modal fusion network for salient object detection.
Appl. Intell.
Lingyu Yan, Ting Zhou, Rong Gao, Zengmao Wang, Zhiwei Ye, Xinyun Wu
2026 J jnl
Spatial-spectral enhanced mamba with diffusion prior for spectral super-resolution.
J. King Saud Univ. Comput. Inf. Sci.
Wenjing Chen, Lang Liu, Rong Gao
2026 J jnl
Wasserstein distance-based graph contrastive learning for recommendation.
Expert Syst. Appl.
Yonghong Yu, Zhiyu Wang, Yujie Liao, Li Zhang, Rong Gao
2025 J jnl
CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer.
Neural Networks
Rong Gao, Siqi Hu, Lingyu Yan, Lefei Zhang, Jia Wu
2025 J jnl
Cluster search optimisation of deep neural networks for audio emotion classification.
Knowl. Based Syst.
Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao
2025 J jnl
Contrastive Translation With Dynamical Temperature for Sequential Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Aoran Zhang, Yonghong Yu, Li Zhang, Rong Gao, Hongzhi Yin
2025 J jnl
Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT.
Clust. Comput.
Rong Gao, Zhiwei Chen, Xinyun Wu, Yonghong Yu, Li Zhang
2025 J jnl
Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral-Spatial Sequence Learning.
Entropy
Wenjing Chen, Lang Liu, Rong Gao
2025 J jnl
Self-supervised extracted contrast network for facial expression recognition.
Multim. Tools Appl.
Lingyu Yan, Jinquan Yang, Jinyao Xia, Rong Gao, Li Zhang, Jun Wan, Yuanyan Tang
2024 J jnl
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.
Zhiqi Zhang, Liyang Bao, Shao Xiang, Guangqi Xie, Rong Gao
2024 J jnl
Contrastive Learning-Based Personalized Tag Recommendation.
Sensors
Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao
2024 J jnl
Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl.
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
2024 J jnl
Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting.
IEEE Access
Siwei Wei, Sichen Shen, Donghua Liu, Yanan Song, Rong Gao, Chunzhi Wang
2024 J jnl
Hybrid graph transformer networks for multivariate time series anomaly detection.
J. Supercomput.
Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye
2024 — conf
Hyperbolic Adversarial Learning for Personalized Item Recommendation.
DASFAA (3)
Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin
2024 J jnl
Hyperbolic Translation-Based Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yonghong Yu, Aoran Zhang, Li Zhang, Rong Gao, Shang Gao, Hongzhi Yin
2024 J jnl
Low-light image enhancement base on brightness attention mechanism generative adversarial networks.
Multim. Tools Appl.
Jiarun Fu, Lingyu Yan, Yulin Peng, Kunpeng Zheng, Rong Gao, Hefei Ling
2024 J jnl
Multi-level contrastive graph learning for academic abnormality prediction.
Neural Comput. Appl.
Yong Ouyang, Yuanlin Wang, Rong Gao, Yawen Zeng, Jinhang Liu, Zhiwei Ye
2024 J jnl
Neural Inference Search for Multiloss Segmentation Models.
IEEE Trans. Neural Networks Learn. Syst.
Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao
2024 J jnl
Video Deepfake classification using particle swarm optimization-based evolving ensemble models.
Knowl. Based Syst.
Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao
2023 J jnl
Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection.
Sensors
Chunzhi Wang, Shaowen Xing, Rong Gao, Lingyu Yan, Naixue Xiong, Ruoxi Wang
2023 — conf
Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection.
IDAACS
Yuyin Tian, Rong Gao, Lingyu Yan, Donghua Liu, Zhiwei Ye
2023 J jnl
High-order deep infomax-guided deformable transformer network for efficient lane detection.
Signal Image Video Process.
Rong Gao, Siqi Hu, Lingyu Yan, Li Zhang, Hang Ruan, Yonghong Yu, Zhiwei Ye
2023 J jnl
Lightweight object detection model fused with feature pyramid.
Multim. Tools Appl.
Chunzhi Wang, Zaoning Wang, Ke Li, Rong Gao, Lingyu Yan
2023 J jnl
Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling.
IEEE Access
Yong Ouyang, Tuo Feng, Rong Gao, Yubin Xu, Jinghang Liu
2023 J jnl
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst.
Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye
2022 J jnl
A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs.
Sensors
Conor Wall, Li Zhang, Yonghong Yu, Akshi Kumar, Rong Gao
2022 J jnl
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.
Sensors
Yonghong Yu, Weiwen Qian, Li Zhang, Rong Gao
2022 J jnl
Deep Recommendation With Adversarial Training.
IEEE Trans. Emerg. Top. Comput.
Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao
2022 B conf
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning.
IJCNN
Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye
2022 B conf
Human Action Recognition Using Hybrid Deep Evolving Neural Networks.
IJCNN
Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao
2022 J jnl
Hybrid neural networks based facial expression recognition for smart city.
Multim. Tools Appl.
Lingyu Yan, Menghan Sheng, Chunzhi Wang, Rong Gao, Han Yu
2022 J jnl
Neural Graph for Personalized Tag Recommendation.
IEEE Intell. Syst.
Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao
2022 J jnl
Social-path embedding-based transformer for graduation development prediction.
Appl. Intell.
Guangze Yang, Yong Ouyang, Zhiwei Ye, Rong Gao, Yawen Zeng
2021 — conf
A Static and Dynamic Co-attention Network for Social Recommendation.
IDAACS
Fan Bian, Lingyu Yan, Rong Gao, Kunpeng Zheng, Yucheng Zhang, Jie Yang
2021 J jnl
A hybrid neural network approach to combine textual information and rating information for item recommendation.
Knowl. Inf. Syst.
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu
2021 — conf
Research on a Service-oriented Dynamic Adaptive Software Architecture.
ICCSE
Rong Gao, Ke Li, Jinyao Xia, Lingyu Yan, Chunzhi Wang, Yucheng Zhang, Ming Wei, Xianjing Zhou
2020 J jnl
Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph.
Appl. Intell.
Yong Ouyang, Yawen Zeng, Rong Gao, Yonghong Yu, Chunzhi Wang
2020 B conf
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm.
IJCNN
Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao
2020 J jnl
HHA: An Attentive Prediction Model for Academic Abnormality.
IEEE Access
Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang
2019 A* conf
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.
KDD
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao
2019 A* conf
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.
ICDM
Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun
2019 J jnl
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex.
Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang
2019 J jnl
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu
2018 J jnl
A personalized point-of-interest recommendation model via fusion of geo-social information.
Neurocomputing
Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Yifei Zhou
2018 — conf
Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
WISE (2)
Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang
2018 J jnl
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation.
Neurocomputing
Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Jun Chang, Donghua Liu, Chunzhi Wang