Yongshun Gong

According to our database, Yongshun Gong authored at least 44 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

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.

Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie

Artif. Intell., March, 2024

Modeling Multiple Aesthetic Views for Series Photo Selection.

Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin

IEEE Trans. Multim., 2024

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

Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng

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

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

Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui

CoRR, 2024

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

Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang

CoRR, 2024

Urban Region Embedding via Multi-View Contrastive Prediction.

Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen

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

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

Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong

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

2023

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

Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong

Knowl. Based Syst., December, 2023

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

Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie

ACM Trans. Inf. Syst., October, 2023

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

Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen

Inf. Sci., October, 2023

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

Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie

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

Missingness-Pattern-Adaptive Learning With Incomplete Data.

Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin

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

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

Yuansheng Liu, Xiangzhen Shen, Yongshun Gong, Yiping Liu, Bosheng Song, Xiangxiang Zeng

Briefings Bioinform., September, 2023

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

Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin

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

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

Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong

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

Toward Better Structure and Constraint to Mine Negative Sequential Patterns.

Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong

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

Semantic-Preserving Adversarial Text Attacks.

Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

IEEE Trans. Sustain. Comput., 2023

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

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2023

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

Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang

CoRR, 2023

Point Cloud Pre-training with Diffusion Models.

Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong

CoRR, 2023

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

Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang

CoRR, 2023

Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement.

Mengyi Wang, Xinxin Zhang, Yongshun Gong, Yilong Yin

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

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

Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong

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

2022

Unsupervised Image and Text Fusion for Travel Information Enhancement.

Lu Zhang, Jingsong Xu, Yongshun Gong, Litao Yu, Jian Zhang, Jialie Shen

IEEE Trans. Multim., 2022

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

Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin

IEEE Trans. Multim., 2022

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

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Series Photo Selection via Multi-View Graph Learning.

Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin

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

Exploring Linear Feature Disentanglement for Neural Networks.

Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin

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

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation.

Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin

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.

Yu Cheng, Yongshun Gong, Yuansheng Liu, Bosheng Song, Quan Zou

Briefings Bioinform., 2021

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

Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou

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

Yongshun Gong

PhD thesis, 2020

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

Xiangjun Dong, Yongshun Gong, Longbing Cao

IEEE Trans. Cybern., 2020

Field-wise Learning for Multi-field Categorical Data.

Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu

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.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

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

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

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

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

2019

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

Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch

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.

Xiangjun Dong, Yongshun Gong, Longbing Cao

Pattern Recognit., 2018

Information Enhancement for Travelogues via a Hybrid Clustering Model.

Lu Zhang, Jingsong Xu, Jian Zhang, Yongshun Gong

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.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch

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.

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong

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

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

Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv

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