Yifang Qin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 46

Top Topics

Imbalanced Datasets

Graph Classification

Hierarchically Structured

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153 (2024)
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
Hypergraph-enhanced Dual Semi-supervised Graph Classification. CoRR (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR (2024)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
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
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173 (2024)
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107 (2024)
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
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR (2024)
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
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR (2024)
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR (2024)
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR (2024)
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling. CoRR (2024)
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR (2023)
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. WSDM (2023)
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. Neural Networks 163 (2023)
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
A Comprehensive Survey on Deep Graph Representation Learning. CoRR (2023)
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
GLCC: A General Framework for Graph-Level Clustering. AAAI (2023)
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-supervised Universal Graph Classification. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. ICASSP (2023)
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia (2023)
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023)
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
A Diffusion model for POI recommendation. CoRR (2023)
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR (2023)
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. CoRR (2023)
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR (2023)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR (2022)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM (2022)
Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. ECML/PKDD (1) (2022)
Baosen Zhao, Yifang Qin, Wanghong Yang, Pengfei Fan, Xu Zhou
SRA: Leveraging AF_XDP for Programmable Network Functions with IPv6 Segment Routing. LCN (2022)
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. CoRR (2022)
Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. SIGIR (2022)
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
GLCC: A General Framework for Graph-level Clustering. CoRR (2022)
Benjiang Ma, Yechun Zhang, Yifang Qin, Muhammad Farhan Bashir
Optimal insurance contract design with "No-claim Bonus and Coverage Upper Bound" under moral hazard. Expert Syst. Appl. 178 (2021)
Bing Liu, Yifang Qin, Xu Zhou, Taixin Li, Wanghong Yang, Zhuo Li, Yongmao Ren
An Advanced Cache Retransmission Mechanism for Wireless Mesh Network. WASA (3) (2021)
Zhuo Li, Xu Zhou, Junruo Gao, Yifang Qin
SDN Controller Load Balancing Based on Reinforcement Learning. CoRR (2021)
Luyang Xu, Xu Zhou, Xifeng Lin, Yongmao Ren, Yifang Qin, Jun Liu
A New Loss Function for Traffic Classification Task on Dramatic Imbalanced Datasets. ICC (2020)
Zhuo Li, Xu Zhou, Yifang Qin
A Survey of Mobile Edge Computing in the Industrial Internet. CoRR (2019)
Luyang Xu, Xu Zhou, Yongmao Ren, Yifang Qin
A Traffic Classification Method Based on Packet Transport Layer Payload by Ensemble Learning. ISCC (2019)
Yaqiu Zhou, Yongmao Ren, Xu Zhou, Wanghong Yang, Yifang Qin
A Scientific Data Traffic Scheduling Algorithm Based on Software-Defined Networking. HPCC/SmartCity/DSS (2019)
Yongmao Ren, Zhentao Li, Jun Li, Yifang Qin, Haibo Wu, Xu Zhou
DMF: A Dynamic Multi-Path Forwarding Strategy for Information Centric Networks. HPCC/SmartCity/DSS (2019)
Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Zhijun Zhao, Song Ci
OSDT: A scalable application-level scheduling scheme for TCP Incast problem. ICC (2015)
Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Song Ci
Modeling and Understanding TCP's Fairness Problem in Data Center Networks. CloudCom (2014)
Heng Wang, Hongjia Li, Xin Chen, Yifang Qin, Lei Yang, Song Ci, Hui Tang
Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks. WCNC (2014)
Lei Yang, Yifang Qin, Xu Zhou, Hongjia Li, Song Ci, Hui Tang
Social Relation Based Cache Distribution Policy in Wireless Mobile Networks. J. Networks 9 (9) (2014)
Shiqiang Chen, Junfeng Wang, Yifang Qin, Xu Zhou
Accurate and Low-cost Scheme for Network Path Delay Measurement. J. Softw. 8 (6) (2013)
Jun Lei, Wenjia Niu, Yifang Qin, Hui Tang, Song Ci
Aggregating user rating and service context for WSN service ranking. GLOBECOM (2012)
Jun Lei, Xinghua Yang, Yinlong Liu, Yifang Qin, Hui Tang, Zhijun Zhao
Using Physical-level Context Awareness to Improve Service Ranking in Wireless Sensor Network. J. Networks 7 (6) (2012)
Hui Zhao, Wenjia Niu, Yifang Qin, Song Ci, Hui Tang, Tao Lin
Traffic Load-Based Dynamic Bandwidth Allocation for Balancing the Packet Loss in DiffServ Network. ACIS-ICIS (2012)