Yifang Qin

According to our database, Yifang Qin authored at least 45 papers between 2012 and 2024.

Collaborative distances:

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

2024

Learning Graph ODE for Continuous-Time Sequential Recommendation.

Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang

IEEE Trans. Knowl. Data Eng., July, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

A Diffusion Model for POI Recommendation.

Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang

ACM Trans. Inf. Syst., March, 2024

Towards Semi-Supervised Universal Graph Classification.

Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang

IEEE Trans. Knowl. Data Eng., January, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Neural Networks, 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang

Inf. Fusion, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.

Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang

CoRR, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training.

Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Zero-shot Node Classification with Graph Contrastive Embedding Network.

Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

Trans. Mach. Learn. Res., 2023

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.

Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

Trans. Mach. Learn. Res., 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang

Neural Networks, 2023

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang

CoRR, 2023

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.

Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.

Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.

Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.

Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

Proceedings of the International Conference on Machine Learning, 2023

Learning on Graphs under Label Noise.

Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

GLCC: A General Framework for Graph-Level Clustering.

Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.

Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang

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

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.

Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

SRA: Leveraging AF_XDP for Programmable Network Functions with IPv6 Segment Routing.

Baosen Zhao, Yifang Qin, Wanghong Yang, Pengfei Fan, Xu Zhou

Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Optimal insurance contract design with "No-claim Bonus and Coverage Upper Bound" under moral hazard.

Benjiang Ma, Yechun Zhang, Yifang Qin, Muhammad Farhan Bashir

Expert Syst. Appl., 2021

SDN Controller Load Balancing Based on Reinforcement Learning.

Zhuo Li, Xu Zhou, Junruo Gao, Yifang Qin

CoRR, 2021

An Advanced Cache Retransmission Mechanism for Wireless Mesh Network.

Bing Liu, Yifang Qin, Xu Zhou, Taixin Li, Wanghong Yang, Zhuo Li, Yongmao Ren

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

2020

A New Loss Function for Traffic Classification Task on Dramatic Imbalanced Datasets.

Luyang Xu, Xu Zhou, Xifeng Lin, Yongmao Ren, Yifang Qin, Jun Liu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

A Survey of Mobile Edge Computing in the Industrial Internet.

Zhuo Li, Xu Zhou, Yifang Qin

CoRR, 2019

A Traffic Classification Method Based on Packet Transport Layer Payload by Ensemble Learning.

Luyang Xu, Xu Zhou, Yongmao Ren, Yifang Qin

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

A Scientific Data Traffic Scheduling Algorithm Based on Software-Defined Networking.

Yaqiu Zhou, Yongmao Ren, Xu Zhou, Wanghong Yang, Yifang Qin

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

DMF: A Dynamic Multi-Path Forwarding Strategy for Information Centric Networks.

Yongmao Ren, Zhentao Li, Jun Li, Yifang Qin, Haibo Wu, Xu Zhou

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2015

OSDT: A scalable application-level scheduling scheme for TCP Incast problem.

Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Zhijun Zhao, Song Ci

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

Social Relation Based Cache Distribution Policy in Wireless Mobile Networks.

Lei Yang, Yifang Qin, Xu Zhou, Hongjia Li, Song Ci, Hui Tang

J. Networks, 2014

Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks.

Heng Wang, Hongjia Li, Xin Chen, Yifang Qin, Lei Yang, Song Ci, Hui Tang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Modeling and Understanding TCP's Fairness Problem in Data Center Networks.

Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Song Ci

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

Accurate and Low-cost Scheme for Network Path Delay Measurement.

Shiqiang Chen, Junfeng Wang, Yifang Qin, Xu Zhou

J. Softw., 2013

2012

Using Physical-level Context Awareness to Improve Service Ranking in Wireless Sensor Network.

Jun Lei, Xinghua Yang, Yinlong Liu, Yifang Qin, Hui Tang, Zhijun Zhao

J. Networks, 2012

Aggregating user rating and service context for WSN service ranking.

Jun Lei, Wenjia Niu, Yifang Qin, Hui Tang, Song Ci

Proceedings of the 2012 IEEE Global Communications Conference, 2012

Traffic Load-Based Dynamic Bandwidth Allocation for Balancing the Packet Loss in DiffServ Network.

Hui Zhao, Wenjia Niu, Yifang Qin, Song Ci, Hui Tang, Tao Lin

Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012