Geographical Proximity Boosted Recommendation Algorithms for Real Estate. - Yonghong Yu; Can Wang 004; Li Zhang 013; Rong Gao 001; Hua Wang 002 (WISE (2), 2018)

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation. - Rong Gao 001; Jing Li 055; Xuefei Li 001; Chengfang Song; Jun Chang; Donghua Liu; Chunzhi Wang (Neurocomputing, 2018)

A personalized point-of-interest recommendation model via fusion of geo-social information. - Rong Gao 001; Jing Li 055; Xuefei Li 001; Chengfang Song; Yifei Zhou (Neurocomputing, 2018)

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. - Rong Gao 001; Haifeng Xia; Jing Li 055; Donghua Liu; Shuai Chen; Gang Chun (ICDM, 2019)

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao 001 (KDD, 2019)

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation. - Yangyang Xu; Xuefei Li 001; Jing Li 055; Chunzhi Wang; Rong Gao 001; Yonghong Yu (IEEE Access, 2019)

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. - Yonghong Yu; Li Zhang 013; Can Wang 004; Rong Gao 001; Weibin Zhao; Jing Jiang 019 (Complex., 2019)

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. - Xuewen Chen; Yonghong Yu; Fengyixin Jiang; Li Zhang 013; Rong Gao 001; Haiyan Gao (IJCNN, 2020)

HHA: An Attentive Prediction Model for Academic Abnormality. - Yawen Zeng; Yong Ouyang; Rong Gao 001; Ye Qiu; Yonghong Yu; Chunzhi Wang (IEEE Access, 2020)

Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph. - Yong Ouyang; Yawen Zeng; Rong Gao 001; Yonghong Yu; Chunzhi Wang (Appl. Intell., 2020)

Research on a Service-oriented Dynamic Adaptive Software Architecture. - Rong Gao 001; Ke Li; Jinyao Xia; Lingyu Yan; Chunzhi Wang; Yucheng Zhang; Ming Wei; Xianjing Zhou (ICCSE, 2021)

A Static and Dynamic Co-attention Network for Social Recommendation. - Fan Bian; Lingyu Yan; Rong Gao 001; Kunpeng Zheng; Yucheng Zhang; Jie Yang (IDAACS, 2021)

A hybrid neural network approach to combine textual information and rating information for item recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao 001; Yujia Wu (Knowl. Inf. Syst., 2021)

Human Action Recognition Using Hybrid Deep Evolving Neural Networks. - Pavan Dasari; Li Zhang 013; Yonghong Yu; Haoqian Huang; Rong Gao 001 (IJCNN, 2022)

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. - Rong Gao 001; Jiakang Liu; Yonghong Yu; Donghua Liu; Xiongkai Shao; Zhiwei Ye (IJCNN, 2022)

Neural Graph for Personalized Tag Recommendation. - Yonghong Yu; Xuewen Chen; Li Zhang 013; Rong Gao 001; Haiyan Gao (IEEE Intell. Syst., 2022)

Hybrid neural networks based facial expression recognition for smart city. - Lingyu Yan; Menghan Sheng; Chunzhi Wang; Rong Gao 001; Han Yu (Multim. Tools Appl., 2022)

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs. - Conor Wall; Li Zhang 013; Yonghong Yu; Akshi Kumar 001; Rong Gao 001 (Sensors, 2022)

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information. - Yonghong Yu; Weiwen Qian; Li Zhang 013; Rong Gao 001 (Sensors, 2022)

Deep Recommendation With Adversarial Training. - Chenyan Zhang; Jing Li 055; Jia Wu 001; Donghua Liu; Jun Chang; Rong Gao 001 (IEEE Trans. Emerg. Top. Comput., 2022)

Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection. - Yuyin Tian; Rong Gao 001; Lingyu Yan; Donghua Liu; Zhiwei Ye (IDAACS, 2023)

Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling. - Yong Ouyang; Tuo Feng 002; Rong Gao 001; Yubin Xu; Jinghang Liu (IEEE Access, 2023)

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation. - Rong Gao 001; Yuhe Tao; Yonghong Yu; Jia Wu 001; Xiongkai Shao; Jing Li 055; Zhiwei Ye (Knowl. Based Syst., 2023)

Lightweight object detection model fused with feature pyramid. - Chunzhi Wang; Zaoning Wang; Ke Li; Rong Gao 001; Lingyu Yan (Multim. Tools Appl., 2023)

High-order deep infomax-guided deformable transformer network for efficient lane detection. - Rong Gao 001; Siqi Hu; Lingyu Yan; Li Zhang 013; Hang Ruan; Yonghong Yu; Zhiwei Ye (Signal Image Video Process., 2023)

Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection. - Chunzhi Wang; Shaowen Xing; Rong Gao 001; Lingyu Yan; Naixue Xiong; Ruoxi Wang (Sensors, 2023)

Hyperbolic Adversarial Learning for Personalized Item Recommendation. - Aoran Zhang 001; Yonghong Yu; Gongyou Xu; Rong Gao 001; Li Zhang 013; Shang Gao; Hongzhi Yin (DASFAA (3), 2024)

Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting. - Siwei Wei; Sichen Shen; Donghua Liu; Yanan Song; Rong Gao 001; Chunzhi Wang (IEEE Access, 2024)

Video Deepfake classification using particle swarm optimization-based evolving ensemble models. - Li Zhang 013; Dezong Zhao; Chee Peng Lim; Houshyar Asadi; Haoqian Huang; Yonghong Yu; Rong Gao 001 (Knowl. Based Syst., 2024)

Multi-level contrastive graph learning for academic abnormality prediction. - Yong Ouyang; Yuanlin Wang; Rong Gao 001; Yawen Zeng; Jinhang Liu; Zhiwei Ye (Neural Comput. Appl., 2024)

B2CNet: A Progressive Change Boundary-to-Center Refinement Network for Multitemporal Remote Sensing Images Change Detection. - Zhiqi Zhang; Liyang Bao; Shao Xiang; Guangqi Xie; Rong Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Low-light image enhancement base on brightness attention mechanism generative adversarial networks. - Jiarun Fu; Lingyu Yan; Yulin Peng; Kunpeng Zheng; Rong Gao 001; Hefei Ling (Multim. Tools Appl., 2024)

Hybrid graph transformer networks for multivariate time series anomaly detection. - Rong Gao 001; Wei He; Lingyu Yan; Donghua Liu; Yonghong Yu; Zhiwei Ye (J. Supercomput., 2024)

Contrastive graph learning long and short-term interests for POI recommendation. - Jiarun Fu; Rong Gao 001; Yonghong Yu; Jia Wu 001; Jing Li 055; Donghua Liu; Zhiwei Ye (Expert Syst. Appl., 2024)

Contrastive Learning-Based Personalized Tag Recommendation. - Aoran Zhang 001; Yonghong Yu; Shenglong Li; Rong Gao 001; Li Zhang 013; Shang Gao (Sensors, 2024)

Neural Inference Search for Multiloss Segmentation Models. - Sam Slade; Li Zhang 013; Haoqian Huang; Houshyar Asadi; Chee Peng Lim; Yonghong Yu; Dezong Zhao; Hanhe Lin; Rong Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hyperbolic Translation-Based Sequential Recommendation. - Yonghong Yu; Aoran Zhang 001; Li Zhang 013; Rong Gao 001; Shang Gao; Hongzhi Yin (IEEE Trans. Comput. Soc. Syst., 2024)

Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral-Spatial Sequence Learning. - Wenjing Chen 003; Lang Liu; Rong Gao 001 (Entropy, 2025)

Cluster search optimisation of deep neural networks for audio emotion classification. - Sam Slade; Li Zhang 013; Houshyar Asadi; Chee Peng Lim; Yonghong Yu; Dezong Zhao; Arjun Panesar; Philip Fei Wu; Rong Gao 001 (Knowl. Based Syst., 2025)

CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer. - Rong Gao 001; Siqi Hu; Lingyu Yan; Lefei Zhang; Jia Wu 001 (Neural Networks, 2025)

Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT. - Rong Gao 001; Zhiwei Chen; Xinyun Wu; Yonghong Yu; Li Zhang 013 (Clust. Comput., 2025)

Self-supervised extracted contrast network for facial expression recognition. - Lingyu Yan; Jinquan Yang; Jinyao Xia; Rong Gao 001; Li Zhang 013; Jun Wan; Yuanyan Tang (Multim. Tools Appl., 2025)

Contrastive Translation With Dynamical Temperature for Sequential Recommendation. - Aoran Zhang 001; Yonghong Yu; Li Zhang 013; Rong Gao 001; Hongzhi Yin (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Wasserstein distance-based graph contrastive learning for recommendation. - Yonghong Yu; Zhiyu Wang; Yujie Liao; Li Zhang 013; Rong Gao 001 (Expert Syst. Appl., 2026)