Author

Yongshun Gong

Observed names: Gong, Yongshun, YongShun Gong

Observed institutions: University of Technology Sydney, Commonwealth Scientific and Industrial Research Organisation, Qilu University of Technology, Shandong University, Jingdong (China), Shandong Academy of Sciences

ORCID: 0000-0003-3948-4471

Observed ORCID: 0000-0003-3948-4471

OpenAlex ID: A5040047825

Molecular design in drug discovery: a comprehensive review of deep generative models

2021 · Yu Cheng, Yongshun Gong, et al. · Briefings in Bioinformatics · 172

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation

2022 · Fan Wang, Zhongyi Han, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 108

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System

2020 · Yongshun Gong, Zhibin Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 108

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns

2018 · Xiangjun Dong, Yongshun Gong, et al. · IEEE Transactions on Cybernetics · 72

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization

2018 · Yongshun Gong, Zhibin Li, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 64

Sequence Alignment/Map format: a comprehensive review of approaches and applications

2023 · Yuansheng Liu, Xiangzhen Shen, et al. · Briefings in Bioinformatics · 49

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

2020 · Yongshun Gong, Zhibin Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 48

Point Cloud Pre-Training with Diffusion Models

2024 · Xiao Zheng, Xiaoshui Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 47

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Missing Value Imputation for Multi-view Urban Statistical Data via Spatial Correlation Learning

2021 · Yongshun Gong, Zhibin Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 45

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Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision

2022 · Hao Qu, Yongshun Gong, et al. · IEEE Transactions on Knowledge and Data Engineering · 42

F-NSP + : A fast negative sequential patterns mining method with self-adaptive data storage

2018 · Xiangjun Dong, Yongshun Gong, et al. · Pattern Recognition · 42

Toward Better Structure and Constraint to Mine Negative Sequential Patterns

2020 · Xinming Gao, Yongshun Gong, et al. · IEEE Transactions on Neural Networks and Learning Systems · 40

Urban Region Embedding via Multi-View Contrastive Prediction

2024 · Zechen Li, Weiming Huang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 38

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A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data

2020 · Yongshun Gong, Zhibin Li, et al. · International Joint Conference on Artificial Intelligence · 29

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Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting

2024 · Yongshun Gong, Tiantian He, et al. · IEEE Transactions on Knowledge and Data Engineering · 27

Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval

2021 · Junya Teng, Xiankai Lu, et al. · IEEE Transactions on Multimedia · 27

Spatio-temporal fusion and contrastive learning for urban flow prediction

2023 · Xu Zhang, Yongshun Gong, et al. · Knowledge-Based Systems · 25

Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction

2023 · Xu Zhang, Yongshun Gong, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 24

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An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints

2021 · Ping Qiu, Yongshun Gong, et al. · IEEE Transactions on Neural Networks and Learning Systems · 24

SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences

2024 · Chuanhou Sun, Yongshun Gong, et al. · Knowledge-Based Systems · 23

e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns

2016 · Yongshun Gong, Tiantian Xu, et al. · International Journal of Pattern Recognition and Artificial Intelligence · 23

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

2019 · Zhibin Li, Jian Zhang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 21

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E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports

2016 · Tiantian Xu, Xiangjun Dong, et al. · International Journal of Pattern Recognition and Artificial Intelligence · 21

Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction

2025 · Yang An, Zhibin Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 20

Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity

2024 · Tianao Sun, Ke Fu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 20

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Works count: 124

Citation count: 1,589

H-index: 21

I10-index: 41