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ORCIDQinyong Wang
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2020 – today
- 2024
[j6]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): 312 (2024)- [j5]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): 47 (2024) - [c23]Haohui Chen, Claire M. Mason, Qinyong Wang, Yanchang Zhao:
DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. AI (1) 2024: 316-328 - [c22]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: 806-815 - 2023
- [j4]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): 102:1-102:24 (2023) - [i11]Qinyong Wang, Zhenxiang Gao, Rong Xu:
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. CoRR abs/2307.01137 (2023) - [i10]Qinyong Wang, Zhenxiang Gao, Rong Xu:
Graph Agent: Explicit Reasoning Agent for Graphs. CoRR abs/2310.16421 (2023) - [i9]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 abs/2311.00423 (2023) - 2022
- [j3]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3447-3460 (2022) - [j2]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31(5): 877-896 (2022) - [c21]Qinyong Wang, Rong Xu:
AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. AMIA 2022 - [c20]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: 546-555 - [i8]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 abs/2204.11091 (2022) - [i7]Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. CoRR abs/2209.13422 (2022) - 2021
- [b1]Qinyong Wang:
Lightweight and Secure Deep Learning-based Mobile Recommender Systems. University of Queensland, Australia, 2021 - [c19]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511 - [c18]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: 413-424 - [i6]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 abs/2101.06448 (2021) - [i5]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR abs/2104.00919 (2021) - 2020
- [j1]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): 1756 (2020) - [c17]Qinyong Wang, Chunlei Zheng, Rong Xu:
DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data. AMIA 2020 - [c16]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c15]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: 906-916 - [i4]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. CoRR abs/2010.00813 (2020) - [i3]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR abs/2012.06852 (2020)
2010 – 2019
- 2019
- [c14]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: 777-794 - [c13]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou:
Social Influence-Based Group Representation Learning for Group Recommendation. ICDE 2019: 566-577 - [c12]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM 2019: 768-777 - [c11]Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen:
Inferring Substitutable Products with Deep Network Embedding. IJCAI 2019: 4306-4312 - [c10]Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556 - [c9]Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung:
Streaming Session-based Recommendation. KDD 2019: 1569-1577 - [i2]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR abs/1909.03529 (2019) - 2018
- [c8]Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang:
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC 2018: 211-223 - [c7]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c6]Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen:
Streaming Ranking Based Recommender Systems. SIGIR 2018: 525-534 - 2017
- [c5]Qinyong Wang, Hongzhi Yin, Hao Wang:
A Time and Sentiment Unification Model for Personalized Recommendation. APWeb/WAIM (2) 2017: 98-113 - [c4]Xue Zhang, Qinyong Wang:
PeopleVis: A visual analysis system for mining travel behavior. CSCWD 2017: 463-468 - [c3]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: 1135-1143 - [i1]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 abs/1706.06239 (2017) - 2016
- [c2]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: 322-326 - 2014
- [c1]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: 503-510
Coauthor Index
aka: Quoc Viet Hung Nguyen
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last updated on 2024-12-15 01:24 CET by the dblp team
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