Yongshun Gong

Orcid: 0000-0003-3948-4471

According to our database¹, Yongshun Gong authored at least 72 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information.

[BibT_eX]

[DOI]

Neural Networks, 2025

In silico framework for genome analysis.

[BibT_eX]

[DOI]

M. Saqib Nawaz

Muhammad Zohaib Nawaz

Yongshun Gong

Philippe Fournier-Viger

Abdoulaye Baniré Diallo

Future Gener. Comput. Syst., 2025

Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

2024

Spatial-temporal regularized tensor decomposition method for traffic speed data imputation.

[BibT_eX]

[DOI]

Haojie Xie

Yongshun Gong

Xiangjun Dong

Int. J. Data Sci. Anal., March, 2024

Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.

[BibT_eX]

[DOI]

Artif. Intell., March, 2024

Modeling Multiple Aesthetic Views for Series Photo Selection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Spatio-Temporal Multi-Image Reflection Removal.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

Mining actionable repetitive positive and negative sequential patterns.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

DCTracker: Rethinking MOT in soccer events under dual views via cascade association.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

CodeV: Issue Resolving with Visual Data.

[BibT_eX]

[DOI]

CoRR, 2024

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2024

An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch.

[BibT_eX]

[DOI]

CoRR, 2024

CLIP-driven Outliers Synthesis for few-shot OOD detection.

[BibT_eX]

[DOI]

CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.

[BibT_eX]

[DOI]

CoRR, 2024

Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Two-phase Parametric Registration for Retinal Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Synonym Replacement and Generation Enhancement for Document Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Point Cloud Pre-Training with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Time-Series Representation Learning via Dual Reference Contrasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Urban Region Embedding via Multi-View Contrastive Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatio-temporal fusion and contrastive learning for urban flow prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., December, 2023

TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., October, 2023

Latent evolution model for change point detection in time-varying networks.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

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

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Toward Better Structure and Constraint to Mine Negative Sequential Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Semantic-Preserving Adversarial Text Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Sustain. Comput., 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V.

[BibT_eX]

[DOI]

CoRR, 2023

Private-Library-Oriented Code Generation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Unsupervised Image and Text Fusion for Travel Information Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Series Photo Selection via Multi-View Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Exploring Linear Feature Disentanglement for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Network-wide Spatio-Temporal Predictive Learning for the Intelligent Transportation System

[BibT_eX]

[DOI]

Yongshun Gong

PhD thesis, 2020

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

[BibT_eX]

[DOI]

Xiangjun Dong

Yongshun Gong

Longbing Cao

IEEE Trans. Cybern., 2020

Field-wise Learning for Multi-field Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

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

[BibT_eX]

[DOI]

Xiangjun Dong

Yongshun Gong

Longbing Cao

Pattern Recognit., 2018

Information Enhancement for Travelogues via a Hybrid Clustering Model.

[BibT_eX]

[DOI]

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

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

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2017

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

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2017

Yongshun Gong

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