Traffic Load-Based Dynamic Bandwidth Allocation for Balancing the Packet Loss in DiffServ Network. - Hui Zhao; Wenjia Niu; Yifang Qin; Song Ci; Hui Tang 001; Tao Lin 001 (ACIS-ICIS, 2012)

Aggregating user rating and service context for WSN service ranking. - Jun Lei; Wenjia Niu; Yifang Qin; Hui Tang 001; Song Ci (GLOBECOM, 2012)

Using Physical-level Context Awareness to Improve Service Ranking in Wireless Sensor Network. - Jun Lei; Xinghua Yang; Yinlong Liu; Yifang Qin; Hui Tang 001; Zhijun Zhao (J. Networks, 2012)

Accurate and Low-cost Scheme for Network Path Delay Measurement. - Shiqiang Chen; Junfeng Wang; Yifang Qin; Xu Zhou (J. Softw., 2013)

Modeling and Understanding TCP's Fairness Problem in Data Center Networks. - Shuli Zhang; Yan Zhang 014; Yifang Qin; Yanni Han; Song Ci (CloudCom, 2014)

Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks. - Heng Wang 004; Hongjia Li; Xin Chen 019; Yifang Qin; Lei Yang; Song Ci; Hui Tang 001 (WCNC, 2014)

Social Relation Based Cache Distribution Policy in Wireless Mobile Networks. - Lei Yang; Yifang Qin; Xu Zhou; Hongjia Li; Song Ci; Hui Tang 001 (J. Networks, 2014)

OSDT: A scalable application-level scheduling scheme for TCP Incast problem. - Shuli Zhang; Yan Zhang 014; Yifang Qin; Yanni Han; Zhijun Zhao; Song Ci (ICC, 2015)

DMF: A Dynamic Multi-Path Forwarding Strategy for Information Centric Networks. - Yongmao Ren; Zhentao Li; Jun Li 002; Yifang Qin; Haibo Wu 001; Xu Zhou (HPCC/SmartCity/DSS, 2019)

A Scientific Data Traffic Scheduling Algorithm Based on Software-Defined Networking. - Yaqiu Zhou; Yongmao Ren; Xu Zhou; Wanghong Yang; Yifang Qin (HPCC/SmartCity/DSS, 2019)

A Traffic Classification Method Based on Packet Transport Layer Payload by Ensemble Learning. - Luyang Xu; Xu Zhou; Yongmao Ren; Yifang Qin (ISCC, 2019)

A Survey of Mobile Edge Computing in the Industrial Internet. - Zhuo Li; Xu Zhou; Yifang Qin (CoRR, 2019)

A New Loss Function for Traffic Classification Task on Dramatic Imbalanced Datasets. - Luyang Xu; Xu Zhou; Xifeng Lin; Yongmao Ren; Yifang Qin; Jun Liu (ICC, 2020)

An Advanced Cache Retransmission Mechanism for Wireless Mesh Network. - Bing Liu; Yifang Qin; Xu Zhou; Taixin Li; Wanghong Yang; Zhuo Li; Yongmao Ren (WASA (3), 2021)

SDN Controller Load Balancing Based on Reinforcement Learning. - Zhuo Li; Xu Zhou; Junruo Gao; Yifang Qin (CoRR, 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)

Kernel-based Substructure Exploration for Next POI Recommendation. - Wei Ju 001; Yifang Qin; Ziyue Qiao; Xiao Luo 001; Yifan Wang 014; Yanjie Fu; Ming Zhang 004 (ICDM, 2022)

SRA: Leveraging AF_XDP for Programmable Network Functions with IPv6 Segment Routing. - Baosen Zhao; Yifang Qin; Wanghong Yang; Pengfei Fan; Xu Zhou (LCN, 2022)

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. - Yifan Wang 014; Yifang Qin; Yu Han; Mingyang Yin; Jingren Zhou 001; Hongxia Yang; Ming Zhang 004 (ECML/PKDD (1), 2022)

DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. - Yifan Wang 014; Yifang Qin; Fang Sun; Bo Zhang; Xuyang Hou; Ke Hu; Jia Cheng; Jun Lei; Ming Zhang 004 (SIGIR, 2022)

GLCC: A General Framework for Graph-Level Clustering. - Wei Ju 001; Yiyang Gu; Binqi Chen; Gongbo Sun; Yifang Qin; Xingyuming Liu; Xiao Luo 001; Ming Zhang 004 (AAAI, 2023)

Learning on Graphs under Label Noise. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (ICASSP, 2023)

HOPE: High-order Graph ODE For Modeling Interacting Dynamics. - Xiao Luo 001; Jingyang Yuan; Zijie Huang 002; Huiyu Jiang; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (ICML, 2023)

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Yifang Qin; Xiao Luo 001; Ming Zhang 004 (ACM Multimedia, 2023)

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Zhengyang Mao; Wei Ju 001; Ming Zhang 004 (ACM Multimedia, 2023)

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. - Yifang Qin; Yifan Wang 014; Fang Sun; Wei Ju 001; Xuyang Hou; Zhe Wang 060; Jia Cheng; Jun Lei; Ming Zhang 004 (WSDM, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. - Wei Ju 001; Zequn Liu; Yifang Qin; Bin Feng; Chen Wang; Zhihui Guo; Xiao Luo 001; Ming Zhang 004 (Neural Networks, 2023)

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. - Xiao Luo 001; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (Trans. Mach. Learn. Res., 2023)

Zero-shot Node Classification with Graph Contrastive Embedding Network. - Wei Ju 001; Yifang Qin; Siyu Yi; Zhengyang Mao; Kangjie Zheng; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (Trans. Mach. Learn. Res., 2023)

Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training. - Xiaoyang Yi; Yuru Bao; Jian Zhang 089; Yifang Qin; Faxin Lin (EMNLP, 2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 2024)

DRTP: A generic Differentiated Reliable Transport Protocol. - Yongmao Ren; Yundong Zhang; Ming Yin; Anmin Xu; Xu Zhou; Cong Li; Yifang Qin; Qinghua Wu 004; Mohamed Ali Kâafar; Gaogang Xie (Comput. Commun., 2024)

A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Hourun Li; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Zhiping Xiao 001; Jiaqi Feng; Yiyang Gu; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (CoRR, 2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Xiao Luo 001; Yiyang Gu; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Wei Ju 001; Yusheng Zhao; Yifang Qin; Siyu Yi; Jingyang Yuan; Zhiping Xiao 001; Xiao Luo 001; Xiting Yan; Ming Zhang 004 (Inf. Fusion, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Focus on informative graphs! Semi-supervised active learning for graph-level classification. - Wei Ju 001; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Siyu Yi; Zhiping Xiao 001; Xiao Luo 001; Yanjie Fu; Ming Zhang 004 (Pattern Recognit., 2024)

Towards Semi-Supervised Universal Graph Classification. - Xiao Luo 001; Yusheng Zhao; Yifang Qin; Wei Ju 001; Ming Zhang 004 (IEEE Trans. Knowl. Data Eng., 2024)

A Diffusion Model for POI Recommendation. - Yifang Qin; Hongjun Wu 006; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (ACM Trans. Inf. Syst., 2024)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Yifang Qin; Siyu Yi; Daqing Wu; Luchen Liu; Ming Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Learning Graph ODE for Continuous-Time Sequential Recommendation. - Yifang Qin; Wei Ju 001; Hongjun Wu 006; Xiao Luo 001; Ming Zhang 004 (IEEE Trans. Knowl. Data Eng., 2024)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Siyu Yi; Wei Ju 001; Yifang Qin; Xiao Luo 001; Luchen Liu; Yong-Dao Zhou; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Jianhao Shen; Ziyue Qiao; Ming Zhang 004 (AAAI, 2025)

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. - Yifang Qin; Jiaxuan Xie; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. - Wei Ju 001; Yiyang Gu; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Xiao Luo 001; Hui Xiong 001; Ming Zhang 004 (Sci. China Inf. Sci., 2025)

A Social Dynamical System for Twitter Analysis. - Zhiping Xiao 001; Xinyu Wang; Yifang Qin; Zijie Huang 002; Mason A. Porter; Yizhou Sun (CoRR, 2025)

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Yiyang Gu; Ziyue Qiao; Zhiping Xiao 001; Ming Zhang 004 (ACM Trans. Inf. Syst., 2025)