Yifang Qin

71 papers A* 13A 1B 3C 2Misc 1Journal 43Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 A* conf
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.
AAAI
Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang
2026 J jnl
DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.
IEEE Trans. Multim.
Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
2026 A* conf
Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
WWW
Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2026 J jnl
TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.
IEEE Trans. Knowl. Data Eng.
Junwei Yang, Yiyang Gu, Yifang Qin, Xiao Luo, Zhiping Xiao, Kangjie Zheng, Wei Ju, Xian-Sheng Hua, Ming Zhang
2025 J jnl
A Social Dynamical System for Twitter Analysis.
CoRR
Zhiping Xiao, Xinyu Wang, Yifang Qin, Zijie Huang, Mason A. Porter, Yizhou Sun
2025 A* conf
CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.
ACM Multimedia
Yiyang Gu, Taian Guo, Hang Zhou, Zihao Chen, Zhiping Xiao, Yifang Qin, Xiao Luo, Wei Ju, Yifan Wang, Ming Zhang
2025 A* conf
Cluster-guided Contrastive Class-imbalanced Graph Classification.
AAAI
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2025 J jnl
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci.
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2025 A* conf
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model.
AAAI
Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang
2025 J jnl
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.
ACM Trans. Inf. Syst.
Yifang Qin, Wei Ju, Yiyang Gu, Ziyue Qiao, Zhiping Xiao, Ming Zhang
2025 — conf
QuizWhiz: An End-to-End AI-Powered Educational Platform for K-12 Intelligent Tutoring and Teaching Analytics.
ICDM (Workshops)
Haiyi Liu, Yifang Qin, Ming Zhang
2024 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks
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
2024 J jnl
A Diffusion Model for POI Recommendation.
ACM Trans. Inf. Syst.
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
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
2024 J jnl
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
CoRR
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
Cluster-guided Contrastive Class-imbalanced Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2024 J jnl
DRTP: A generic Differentiated Reliable Transport Protocol.
Comput. Commun.
Yongmao Ren, Yundong Zhang, Ming Yin, Anmin Xu, Xu Zhou, Cong Li, Yifang Qin, Qinghua Wu, Mohamed Ali Kâafar, Gaogang Xie
2024 J jnl
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit.
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
2024 J jnl
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2024 A* conf
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
ICML
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 A* conf
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training.
EMNLP
Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin
2024 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2024 J jnl
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
2024 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2024 J jnl
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl.
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
2024 J jnl
Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR
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
2024 J jnl
Towards Semi-Supervised Universal Graph Classification.
IEEE Trans. Knowl. Data Eng.
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
CoRR
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
2023 J jnl
A Diffusion model for POI recommendation.
CoRR
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2023 A* conf
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
ACM Multimedia
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 A conf
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
WSDM
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2023 J jnl
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
2023 A* conf
GLCC: A General Framework for Graph-Level Clustering.
AAAI
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2023 A* conf
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
ICML
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
CoRR
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2023 Misc conf
Learning on Graphs under Label Noise.
ICASSP
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 J jnl
Learning on Graphs under Label Noise.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 A* conf
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
ACM Multimedia
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
CoRR
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
CoRR
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2023 J jnl
Towards Semi-supervised Universal Graph Classification.
CoRR
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res.
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
2022 — conf
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.
ECML/PKDD (1)
Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang
2022 A* conf
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.
SIGIR
Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang
2022 J jnl
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
CoRR
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2022 J jnl
GLCC: A General Framework for Graph-level Clustering.
CoRR
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2022 A* conf
Kernel-based Substructure Exploration for Next POI Recommendation.
ICDM
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 J jnl
Kernel-based Substructure Exploration for Next POI Recommendation.
CoRR
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 B conf
SRA: Leveraging AF_XDP for Programmable Network Functions with IPv6 Segment Routing.
LCN
Baosen Zhao, Yifang Qin, Wanghong Yang, Pengfei Fan, Xu Zhou
2021 — conf
An Advanced Cache Retransmission Mechanism for Wireless Mesh Network.
WASA (3)
Bing Liu, Yifang Qin, Xu Zhou, Taixin Li, Wanghong Yang, Zhuo Li, Yongmao Ren
2021 J jnl
Optimal insurance contract design with "No-claim Bonus and Coverage Upper Bound" under moral hazard.
Expert Syst. Appl.
Benjiang Ma, Yechun Zhang, Yifang Qin, Muhammad Farhan Bashir
2021 J jnl
SDN Controller Load Balancing Based on Reinforcement Learning.
CoRR
Zhuo Li, Xu Zhou, Junruo Gao, Yifang Qin
2020 — conf
A New Loss Function for Traffic Classification Task on Dramatic Imbalanced Datasets.
ICC
Luyang Xu, Xu Zhou, Xifeng Lin, Yongmao Ren, Yifang Qin, Jun Liu
2019 — conf
A Scientific Data Traffic Scheduling Algorithm Based on Software-Defined Networking.
HPCC/SmartCity/DSS
Yaqiu Zhou, Yongmao Ren, Xu Zhou, Wanghong Yang, Yifang Qin
2019 J jnl
A Survey of Mobile Edge Computing in the Industrial Internet.
CoRR
Zhuo Li, Xu Zhou, Yifang Qin
2019 C conf
A Traffic Classification Method Based on Packet Transport Layer Payload by Ensemble Learning.
ISCC
Luyang Xu, Xu Zhou, Yongmao Ren, Yifang Qin
2019 — conf
DMF: A Dynamic Multi-Path Forwarding Strategy for Information Centric Networks.
HPCC/SmartCity/DSS
Yongmao Ren, Zhentao Li, Jun Li, Yifang Qin, Haibo Wu, Xu Zhou
2015 — conf
OSDT: A scalable application-level scheduling scheme for TCP Incast problem.
ICC
Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Zhijun Zhao, Song Ci
2014 B conf
Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks.
WCNC
Heng Wang, Hongjia Li, Xin Chen, Yifang Qin, Lei Yang, Song Ci, Hui Tang
2014 C conf
Modeling and Understanding TCP's Fairness Problem in Data Center Networks.
CloudCom
Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Song Ci
2014 J jnl
Social Relation Based Cache Distribution Policy in Wireless Mobile Networks.
J. Networks
Lei Yang, Yifang Qin, Xu Zhou, Hongjia Li, Song Ci, Hui Tang
2013 J jnl
Accurate and Low-cost Scheme for Network Path Delay Measurement.
J. Softw.
Shiqiang Chen, Junfeng Wang, Yifang Qin, Xu Zhou
2012 B conf
Aggregating user rating and service context for WSN service ranking.
GLOBECOM
Jun Lei, Wenjia Niu, Yifang Qin, Hui Tang, Song Ci
2012 — conf
Traffic Load-Based Dynamic Bandwidth Allocation for Balancing the Packet Loss in DiffServ Network.
ACIS-ICIS
Hui Zhao, Wenjia Niu, Yifang Qin, Song Ci, Hui Tang, Tao Lin
2012 J jnl
Using Physical-level Context Awareness to Improve Service Ranking in Wireless Sensor Network.
J. Networks
Jun Lei, Xinghua Yang, Yinlong Liu, Yifang Qin, Hui Tang, Zhijun Zhao