Qinyong Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 38

Top Topics

Social Recommendation

Convolutional Network

Collaborative Filtering

Top Venues

Publications

Meiyan Li, Qinyong Wang, Yuwei Liao
Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing. J. Cloud Comput. 13 (1) (2024)
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM (2024)
Qinyong Wang, Enman Jin, Huizhong Zhang, Yumeng Chen, Yinggao Yue, Danilo B. Dorado, Zhongyi Hu, Minghai Xu
Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration. Inf. 15 (6) (2024)
Qinyong Wang, Zhenxiang Gao, Rong Xu
Graph Agent: Explicit Reasoning Agent for Graphs. CoRR (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
Qinyong Wang, Zhenxiang Gao, Rong Xu
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. CoRR (2023)
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. CoRR (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR (2022)
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31 (5) (2022)
Qinyong Wang, Rong Xu
AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. AMIA (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR (2022)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI (2021)
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW (2021)
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR (2021)
Qinyong Wang, Chunlei Zheng, Rong Xu
DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data. AMIA (2020)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR (2020)
Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW (2020)
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
Overcoming Data Sparsity in Group Recommendation. CoRR (2020)
Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui
Group Recommendation with Latent Voting Mechanism. ICDE (2020)
Zhe Li, Mieradilijiang Maimaiti, Jiabao Sheng, Zunwang Ke, Wushour Silamu, Qinyong Wang, Xiuhong Li
An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation. Symmetry 12 (11) (2020)
Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung
Streaming Session-based Recommendation. KDD (2019)
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
Inferring Substitutable Products with Deep Network Embedding. IJCAI (2019)
Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
Enhancing Collaborative Filtering with Generative Augmentation. KDD (2019)
Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR (2019)
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou
Social Influence-Based Group Representation Learning for Group Recommendation. ICDE (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM (2019)
Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC (2018)
Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen
Streaming Ranking Based Recommender Systems. SIGIR (2018)
Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD (2018)
Qinyong Wang, Hongzhi Yin, Hao Wang
A Time and Sentiment Unification Model for Personalized Recommendation. APWeb/WAIM (2) (2017)
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD (2017)
Xue Zhang, Qinyong Wang
PeopleVis: A visual analysis system for mining travel behavior. CSCWD (2017)
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. CoRR (2017)
Hao Wang, Siyu Lu, Chen Zhang, Qinyong Wang, Fanjiang Xu
Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. CSCWD (2016)
Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Zhe Chen, Fanjiang Xu
A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. ICDM Workshops (2014)