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2020 – today
- 2024
[j14]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: 102341 (2024)- [j13]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: 106207 (2024) - [j12]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: 110567 (2024) - [j11]Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36(1): 416-428 (2024) - [j10]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): 3224-3236 (2024) - [j9]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang:
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42(2): 54:1-54:27 (2024) - [j8]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): 82:1-82:19 (2024) - [c22]Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin:
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training. EMNLP 2024: 2156-2171 - [c21]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. ICML 2024 - [i20]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 abs/2401.00713 (2024) - [i19]Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang:
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR abs/2401.12590 (2024) - [i18]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 abs/2401.16011 (2024) - [i17]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 abs/2403.01091 (2024) - [i16]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 abs/2403.04468 (2024) - [i15]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 abs/2405.04773 (2024) - [i14]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 abs/2405.11868 (2024) - 2023
- [j7]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: 122-131 (2023) - [j6]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) - [j5]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) - [c20]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: 4391-4399 - [c19]Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
Learning on Graphs under Label Noise. ICASSP 2023: 1-5 - [c18]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: 23124-23139 - [c17]Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia 2023: 3647-3656 - [c16]Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang:
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia 2023: 3817-3826 - [c15]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: 508-516 - [i13]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 abs/2304.05055 (2023) - [i12]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang:
A Diffusion model for POI recommendation. CoRR abs/2304.07041 (2023) - [i11]Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang:
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR abs/2304.07042 (2023) - [i10]Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-supervised Universal Graph Classification. CoRR abs/2305.19598 (2023) - [i9]Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
Learning on Graphs under Label Noise. CoRR abs/2306.08194 (2023) - [i8]Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang:
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. CoRR abs/2308.02335 (2023) - [i7]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 abs/2309.04694 (2023) - [i6]Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR abs/2309.14673 (2023) - 2022
- [c14]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022: 221-230 - [c13]Baosen Zhao, Yifang Qin, Wanghong Yang, Pengfei Fan, Xu Zhou:
SRA: Leveraging AF_XDP for Programmable Network Functions with IPv6 Segment Routing. LCN 2022: 455-462 - [c12]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: 474-490 - [c11]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: 2314-2318 - [i5]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR abs/2210.03969 (2022) - [i4]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 abs/2210.11879 (2022) - [i3]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 abs/2210.16591 (2022) - 2021
- [j4]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: 115050 (2021) - [c10]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: 274-281 - [i2]Zhuo Li, Xu Zhou, Junruo Gao, Yifang Qin:
SDN Controller Load Balancing Based on Reinforcement Learning. CoRR abs/2103.06579 (2021) - 2020
- [c9]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: 1-7
2010 – 2019
- 2019
- [c8]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: 62-67 - [c7]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: 2495-2501 - [c6]Luyang Xu, Xu Zhou, Yongmao Ren, Yifang Qin:
A Traffic Classification Method Based on Packet Transport Layer Payload by Ensemble Learning. ISCC 2019: 1-6 - [i1]Zhuo Li, Xu Zhou, Yifang Qin:
A Survey of Mobile Edge Computing in the Industrial Internet. CoRR abs/1911.11966 (2019) - 2015
- [c5]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: 325-331 - 2014
- [j3]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): 2279-2288 (2014) - [c4]Shuli Zhang, Yan Zhang, Yifang Qin, Yanni Han, Song Ci:
Modeling and Understanding TCP's Fairness Problem in Data Center Networks. CloudCom 2014: 605-610 - [c3]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: 1632-1637 - 2013
- [j2]Shiqiang Chen, Junfeng Wang, Yifang Qin, Xu Zhou:
Accurate and Low-cost Scheme for Network Path Delay Measurement. J. Softw. 8(6): 1398-1404 (2013) - 2012
- [j1]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): 926-934 (2012) - [c2]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: 99-104 - [c1]Jun Lei, Wenjia Niu, Yifang Qin, Hui Tang, Song Ci:
Aggregating user rating and service context for WSN service ranking. GLOBECOM 2012: 5362-5367
Coauthor Index
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last updated on 2024-11-14 00:57 CET by the dblp team
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