Qinyong Wang - RankMe

42 papers A* 13A 1C 2Misc 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Computer Network Security System Optimization Based on Improved Neural Network Algorithm and Data Search. J. Cyber Secur. Mobil. Huizhong Zhang, Fanrong Meng, Qinyong Wang
2024	—	`conf`	DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. AI (1) Haohui Chen, Claire M. Mason, Qinyong Wang, Yanchang Zhao
2024	J	`jnl`	Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration. Inf. Qinyong Wang, Enman Jin, Huizhong Zhang, Yumeng Chen, Yinggao Yue, Danilo B. Dorado, Zhongyi Hu, Minghai Xu
2024	A	`conf`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	J	`jnl`	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. Meiyan Li, Qinyong Wang, Yuwei Liao
2023	J	`jnl`	Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2023	J	`jnl`	Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. CoRR Qinyong Wang, Zhenxiang Gao, Rong Xu
2023	J	`jnl`	Graph Agent: Explicit Reasoning Agent for Graphs. CoRR Qinyong Wang, Zhenxiang Gao, Rong Xu
2023	J	`jnl`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2022	Misc	`conf`	AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. AMIA Qinyong Wang, Rong Xu
2022	J	`jnl`	Efficient On-Device Session-Based Recommendation. CoRR Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2022	J	`jnl`	Fast-adapting and privacy-preserving federated recommender system. VLDB J. Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2022	A*	`conf`	On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022	J	`jnl`	On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
2022	J	`jnl`	Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
2021	J	`jnl`	Fast-adapting and Privacy-preserving Federated Recommender System. CoRR Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2021	—	`—`	Lightweight and Secure Deep Learning-based Mobile Recommender Systems Qinyong Wang
2021	A*	`conf`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021	A*	`conf`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021	J	`jnl`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2020	J	`jnl`	An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation. Symmetry Zhe Li, Mieradilijiang Maimaiti, Jiabao Sheng, Zunwang Ke, Wushour Silamu, Qinyong Wang, Xiuhong Li
2020	Misc	`conf`	DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data. AMIA Qinyong Wang, Chunlei Zheng, Rong Xu
2020	A*	`conf`	Group Recommendation with Latent Voting Mechanism. ICDE Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui
2020	A*	`conf`	Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
2020	J	`jnl`	Overcoming Data Sparsity in Group Recommendation. CoRR Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
2020	J	`jnl`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2019	A*	`conf`	Enhancing Collaborative Filtering with Generative Augmentation. KDD Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2019	A*	`conf`	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019	J	`jnl`	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019	A*	`conf`	Inferring Substitutable Products with Deep Network Embedding. IJCAI Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
2019	—	`conf`	Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
2019	A*	`conf`	Social Influence-Based Group Representation Learning for Group Recommendation. ICDE Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou
2019	A*	`conf`	Streaming Session-based Recommendation. KDD Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung
2018	A*	`conf`	Neural Memory Streaming Recommender Networks with Adversarial Training. KDD Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018	A*	`conf`	Streaming Ranking Based Recommender Systems. SIGIR Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen
2018	Misc	`conf`	TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang
2017	A*	`conf`	A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
2017	J	`jnl`	A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. CoRR Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
2017	—	`conf`	A Time and Sentiment Unification Model for Personalized Recommendation. APWeb/WAIM (2) Qinyong Wang, Hongzhi Yin, Hao Wang
2017	C	`conf`	PeopleVis: A visual analysis system for mining travel behavior. CSCWD Xue Zhang, Qinyong Wang
2016	C	`conf`	Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. CSCWD Hao Wang, Siyu Lu, Chen Zhang, Qinyong Wang, Fanjiang Xu
2014	—	`conf`	A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. ICDM Workshops Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Zhe Chen, Fanjiang Xu