Yong Liu

According to our database, Yong Liu authored at least 43 papers between 2007 and 2024.

Collaborative distances:

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

2024

HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph.

Chenhao Wang, Yong Liu, Yan Yang, Wei Li

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

External Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastive Learning and Adversarial Network.

Xin Sun, Yan Yang, Yong Liu

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting.

Qianqian Ren, Yang Li, Yong Liu

Expert Syst. Appl., October, 2023

A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views.

Yifu Guo, Yong Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Network Embedding with Adaptive Multi-hop Contrast.

Chenhao Wang, Yong Liu, Yan Yang

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

Graph Contrastive Learning with Graph Info-Min.

En Meng, Yong Liu

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

Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model.

Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai

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

2022

Embedding temporal networks inductively via mining neighborhood and community influences.

Meng Liu, Ziwei Quan, Jia-Ming Wu, Yong Liu, Meng Han

Appl. Intell., 2022

NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation.

Jijie Zhang, Yan Yang, Yong Liu, Meng Han

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction.

Wei Fan, Meng Liu, Yong Liu

Proceedings of the Database Systems for Advanced Applications, 2022

Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast.

Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Curriculum Contrastive Learning for Fake News Detection.

Jiachen Ma, Yong Liu, Meng Liu, Meng Han

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Embedding Global and Local Influences for Dynamic Graphs.

Meng Liu, Jiaming Wu, Yong Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences.

Meng Liu, Yong Liu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MLFF: A Object Detector based on a Multi-Layer Feature Fusion.

Panyu Peng, Yong Liu, Xingfeng Lv

Proceedings of the International Joint Conference on Neural Networks, 2021

ETIV: Embedding Temporal Network via Interest Vector.

Jiangting Fan, Haojie Chen, Jiaming Wu, Yong Liu, Nan Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning.

Haojie Chen, Jiangting Fan, Yong Liu, Xingfeng Lv

Proceedings of the Neural Information Processing - 28th International Conference, 2021

SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks.

Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

A New Personalized POI Recommendation Based on Time-Aware and Social Influence.

Nan Wang, Yong Liu, Peiyao Han, Xiaokun Li, Jinbao Li

Proceedings of the Cloud Computing - CLOUD 2020, 2020

The Collaborative Influence of Multiple Interactions on Successive POI Recommendation.

Nan Wang, Yong Liu, Peiyao Han, Xiaokun Li, Jinbao Li

Proceedings of the Big Data - BigData 2020, 2020

NSTI-IC: An Independent Cascade Model Based on Neighbor Structures and Topic-Aware Interest.

Chuhan Zhang, Yueshuang Yin, Yong Liu

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Network Representation Learning Algorithm Based on Neighborhood Influence Sequence.

Meng Liu, Ziwei Quan, Yong Liu

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Friend and POI recommendation based on social trust cluster in location-based social networks.

Jinghua Zhu, Chao Wang, Xu Guo, Qian Ming, Jinbao Li, Yong Liu

EURASIP J. Wirel. Commun. Netw., 2019

Trust-Aware Group Recommendation with Attention Mechanism in Social Network.

Jinghua Zhu, Zhichao Li, Chenbo Yue, Yong Liu

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

Prediction Model for Non-topological Event Propagation in Social Networks.

Zitu Liu, Rui Wang, Yong Liu

Proceedings of the Data Science, 2019

Predicting the Hot Topics with User Sentiments.

Qi Guo, Jinhao Shi, Yong Liu, Xiaokun Li

Proceedings of the Data Science, 2019

Identifying Structural Hole Spanners in Social Networks via Graph Embedding.

Sijie Chen, Ziwei Quan, Yong Liu

Proceedings of the Combinatorial Optimization and Applications, 2019

Time Optimal Profit Maximization in a Social Network.

Yong Liu, Zitu Liu, Shengnan Xie, Xiaokun Li

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences.

Rubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

Time Optimal Profit Maximization in a Social Network.

Yong Liu, Wei Zhang

Int. J. Web Appl., 2018

A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.

Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang

Bioinform., 2018

Trust-Distrust-Aware Point-of-Interest Recommendation in Location-Based Social Network.

Jinghua Zhu, Qian Ming, Yong Liu

Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Influence Maximization with Trust Relationship in Social Networks.

Nan Wang, Jiansong Da, Jinbao Li, Yong Liu

Proceedings of the 14th International Conference on Mobile Ad-Hoc and Sensor Networks, 2018

VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks.

Qianqian Ren, Jinbao Li, Yong Liu

Proceedings of the Wireless Sensor Networks - 12th China Conference, 2018

2017

A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks.

Jinghua Zhu, Yong Liu, Xuming Yin

IEEE Access, 2017

SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network.

Yong Liu, Zhe Han, Shengshu Shi, Wei Zhang, Ping Xuan

Proceedings of the Wireless Sensor Networks, 2017

2014

A Spatial Correlation Based Adaptive Missing Data Estimation Algorithm in Wireless Sensor Networks.

Liqiang Pan, Huijun Gao, Hong Gao, Yong Liu

Int. J. Wirel. Inf. Networks, 2014

2011

Efficient Algorithms for Summarizing Graph Patterns.

Jianzhong Li, Yong Liu, Hong Gao

IEEE Trans. Knowl. Data Eng., 2011

H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks.

Longjiang Guo, Meirui Ren, Jinbao Li, Yong Liu, Chunyu Ai

J. Commun., 2011

2010

Mining Top-K Graph Patterns that Jointly Maximize Some Significance Measure.

Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao

J. Comput., 2010

2009

JPMiner: Mining Frequent Jump Patterns from Graph Databases.

Yong Liu, Jianzhong Li, Hong Gao

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008

Summarizing Graph Patterns.

Yong Liu, Jianzhong Li, Hong Gao

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Clustering Frequent Graph Patterns.

Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao

J. Digit. Inf. Manag., 2007