Qinyong Wang

According to our database, Qinyong Wang authored at least 30 papers between 2014 and 2024.

Collaborative distances:

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

2024

Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing.

Meiyan Li, Qinyong Wang, Yuwei Liao

J. Cloud Comput., December, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.

Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Efficient On-Device Session-Based Recommendation.

Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin

ACM Trans. Inf. Syst., October, 2023

Graph Agent: Explicit Reasoning Agent for Graphs.

Qinyong Wang, Zhenxiang Gao, Rong Xu

CoRR, 2023

Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking.

Qinyong Wang, Zhenxiang Gao, Rong Xu

CoRR, 2023

2022

Fast-adapting and privacy-preserving federated recommender system.

Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang

VLDB J., 2022

Overcoming Data Sparsity in Group Recommendation.

Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis.

Qinyong Wang, Rong Xu

Proceedings of the AMIA 2022, 2022

2021

Lightweight and Secure Deep Learning-based Mobile Recommender Systems

Qinyong Wang

PhD thesis, 2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.

Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation.

Zhe Li, Mieradilijiang Maimaiti, Jiabao Sheng, Zunwang Ke, Wushour Silamu, Qinyong Wang, Xiuhong Li

Symmetry, 2020

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.

Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Group Recommendation with Latent Voting Mechanism.

Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data.

Qinyong Wang, Chunlei Zheng, Rong Xu

Proceedings of the AMIA 2020, 2020

2019

Enhancing Collaborative Filtering with Generative Augmentation.

Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui

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

Streaming Session-based Recommendation.

Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung

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

Inferring Substitutable Products with Deep Network Embedding.

Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.

Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Social Influence-Based Group Representation Learning for Group Recommendation.

Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.

Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Streaming Ranking Based Recommender Systems.

Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.

Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.

Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang

Proceedings of the Databases Theory and Applications, 2018

2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.

Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PeopleVis: A visual analysis system for mining travel behavior.

Xue Zhang, Qinyong Wang

Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

A Time and Sentiment Unification Model for Personalized Recommendation.

Qinyong Wang, Hongzhi Yin, Hao Wang

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences.

Hao Wang, Siyu Lu, Chen Zhang, Qinyong Wang, Fanjiang Xu

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2014

A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data.

Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Zhe Chen, Fanjiang Xu

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014