A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. - Qinyong Wang; Hao Wang 005; Chen Zhang 003; Wei Wang 061; Zhe Chen; Fanjiang Xu (ICDM Workshops, 2014)

Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. - Hao Wang 005; Siyu Lu; Chen Zhang 003; Qinyong Wang; Fanjiang Xu (CSCWD, 2016)

A Time and Sentiment Unification Model for Personalized Recommendation. - Qinyong Wang; Hongzhi Yin; Hao Wang 005 (APWeb/WAIM (2), 2017)

PeopleVis: A visual analysis system for mining travel behavior. - Xue Zhang; Qinyong Wang (CSCWD, 2017)

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. - Hao Wang 005; Yanmei Fu; Qinyong Wang; Hongzhi Yin; Changying Du; Hui Xiong 001 (KDD, 2017)

TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. - Qinyong Wang; Hongzhi Yin; Hao Wang 005; Zi Huang (ADC, 2018)

Neural Memory Streaming Recommender Networks with Adversarial Training. - Qinyong Wang; Hongzhi Yin; Zhiting Hu; Defu Lian; Hao Wang 005; Zi Huang (KDD, 2018)

Streaming Ranking Based Recommender Systems. - Weiqing Wang 001; Hongzhi Yin; Zi Huang; Qinyong Wang; Xingzhong Du; Quoc Viet Hung Nguyen (SIGIR, 2018)

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. - Qinyong Wang; Hongzhi Yin; Weiqing Wang 001; Zi Huang; Guibing Guo; Quoc Viet Hung Nguyen (DASFAA (1), 2019)

Social Influence-Based Group Representation Learning for Group Recommendation. - Hongzhi Yin; Qinyong Wang; Kai Zheng 001; Zhixu Li; Jiali Yang; Xiaofang Zhou 001 (ICDE, 2019)

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. - Junliang Yu; Min Gao 001; Hongzhi Yin; Jundong Li; Chongming Gao; Qinyong Wang (ICDM, 2019)

Inferring Substitutable Products with Deep Network Embedding. - Shijie Zhang; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Hongxu Chen 002; Quoc Viet Hung Nguyen (IJCAI, 2019)

Streaming Session-based Recommendation. - Lei Guo 008; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Alexander Zhou 001; Nguyen Quoc Viet Hung (KDD, 2019)

Enhancing Collaborative Filtering with Generative Augmentation. - Qinyong Wang; Hongzhi Yin; Hao Wang 005; Quoc Viet Hung Nguyen; Zi Huang; Lizhen Cui (KDD, 2019)

DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data. - Qinyong Wang; Chunlei Zheng; Rong Xu (AMIA, 2020)

Group Recommendation with Latent Voting Mechanism. - Lei Guo 008; Hongzhi Yin; Qinyong Wang; Bin Cui 001; Zi Huang; Lizhen Cui (ICDE, 2020)

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. - Qinyong Wang; Hongzhi Yin; Tong Chen 005; Zi Huang; Hao Wang 005; Yanchang Zhao; Nguyen Quoc Viet Hung (WWW, 2020)

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation. - Zhe Li 030; Mieradilijiang Maimaiti; Jiabao Sheng; Zunwang Ke; Wushour Silamu; Qinyong Wang; Xiuhong Li (Symmetry, 2020)

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. - Xin Xia 013; Hongzhi Yin; Junliang Yu; Qinyong Wang; Lizhen Cui; Xiangliang Zhang 001 (AAAI, 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 001 (WWW, 2021)

Lightweight and Secure Deep Learning-based Mobile Recommender Systems - Qinyong Wang (2021)

AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. - Qinyong Wang; Rong Xu (AMIA, 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. - Xin Xia 013; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Quoc Viet Hung Nguyen (SIGIR, 2022)

Overcoming Data Sparsity in Group Recommendation. - Hongzhi Yin; Qinyong Wang; Kai Zheng 001; Zhixu Li; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2022)

Fast-adapting and privacy-preserving federated recommender system. - Qinyong Wang; Hongzhi Yin; Tong Chen 005; Junliang Yu; Alexander Zhou 001; Xiangliang Zhang 001 (VLDB J., 2022)

Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. - Qinyong Wang; Zhenxiang Gao; Rong Xu (CoRR, 2023)

Graph Agent: Explicit Reasoning Agent for Graphs. - Qinyong Wang; Zhenxiang Gao; Rong Xu (CoRR, 2023)

Efficient On-Device Session-Based Recommendation. - Xin Xia 013; Junliang Yu; Qinyong Wang; Chaoqun Yang 002; Nguyen Quoc Viet Hung; Hongzhi Yin (ACM Trans. Inf. Syst., 2023)

DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. - Haohui Chen; Claire M. Mason; Qinyong Wang; Yanchang Zhao (AI (1), 2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation. - Wei Wei 027; Xubin Ren; Jiabin Tang; Qinyong Wang; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin; Chao Huang 001 (WSDM, 2024)

Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration. - Qinyong Wang; Enman Jin; Huizhong Zhang; Yumeng Chen; Yinggao Yue; Danilo B. Dorado; Zhongyi Hu 001; Minghai Xu (Inf., 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., 2024)

Computer Network Security System Optimization Based on Improved Neural Network Algorithm and Data Search. - Huizhong Zhang; Fanrong Meng; Qinyong Wang (J. Cyber Secur. Mobil., 2025)