Yifan Wang

55 papers A* 17A 3B 1C 1Journal 27Unranked 6
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 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 — conf
DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.
KDD (1)
Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo
2026 — conf
Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning.
KDD (1)
Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo
2026 A* conf
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering.
AAAI
Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju
2026 J jnl
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.
CoRR
Wei Ju, Wei Zhang, Siyu Yi, Zhengyang Mao, Yifan Wang, Jingyang Yuan, Zhiping Xiao, Ziyue Qiao, Ming Zhang
2026 A* conf
KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.
WWW
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
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 A* conf
Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.
WWW
Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang
2025 — conf
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
ACL (1)
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
CoRR
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
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 J jnl
Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement.
IEEE Trans. Neural Networks Learn. Syst.
Haodong Zhang, Tao Ren, Yifan Wang, Fanchun Meng, Wei Ju, Ying Tian
2025 A* conf
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
ICML
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
2025 A* conf
DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization.
ACM Multimedia
Jiayi Zeng, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Zhipeng Sun, Xiao Luo
2025 A* conf
Deep Graph Clustering with Disentangled Representation Learning.
ACM Multimedia
Yifan Wang, Yuntai Ding, Yiyang Gu, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 A* conf
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
AAAI
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2025 J jnl
DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
GMR-Rec: Graph mutual regularization learning for multi-domain recommendation.
Inf. Sci.
Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju
2025 J jnl
Hypergraph Consistency Learning With Relational Distillation.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 — conf
LEAF: Large Language Diffusion Model for Time Series Forecasting.
EMNLP (Findings)
Yuhang Pei, Tao Ren, Yifan Wang, Zhipeng Sun, Wei Ju, Chong Chen, Xiansheng Hua, Xiao Luo
2025 J jnl
Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025 J jnl
Learning Knowledge-diverse Experts for Long-tailed Graph Classification.
ACM Trans. Knowl. Discov. Data
Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025 J jnl
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.
Inf. Process. Manag.
Tao Ren, Haodong Zhang, Yifan Wang, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo
2025 A* conf
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment.
IJCAI
Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv
2025 J jnl
Rethinking neural architecture representation for predictors: Topological encoding in pixel space.
Inf. Fusion
Caiyang Yu, Jian Wang, Yifan Wang, Wei Ju, Chenwei Tang, Jiancheng Lv
2025 J jnl
Reversible Column Disentangled Augmentation Tricks for Graph Contrastive Learning.
IEEE Trans. Multim.
Yuntai Ding, Renshuai Tao, Yifan Wang, Chong Chen, Xian-Sheng Hua, Wei Ju
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 A* conf
A Survey of Data-Efficient Graph Learning.
IJCAI
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024 J jnl
A Survey of Data-Efficient Graph Learning.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, 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
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
CoRR
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2024 J jnl
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
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
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
IJCAI
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
CoRR
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan 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
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
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
CoRR
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks
Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, 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 — conf
Deep Graph Mutual Learning for Cross-domain Recommendation.
DASFAA (2)
Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, 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 A* conf
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
AAAI
Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
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 B conf
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
IJCNN
Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, 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 A* conf
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
IJCAI
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2021 J jnl
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
CoRR
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2020 A conf
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
CIKM
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2020 C conf
STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention.
EDUCON
Ming Zhang, Shixing Liu, Yifan Wang
2019 A conf
Session-Based Social Recommendation via Dynamic Graph Attention Networks.
WSDM
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019 J jnl
Session-based Social Recommendation via Dynamic Graph Attention Networks.
CoRR
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang