Yiyang Gu

According to our database, Yiyang Gu authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.

Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Toward the Random Multiaccess in SIoT: A Generalized-Deduplication-Based CRDSA Mechanism.

Yiyang Gu, Yunlai Xu, Bo Zhang, Ye Wang, Zhihua Yang

IEEE Internet Things J., June, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua

ACM Trans. Knowl. Discov. Data, January, 2024

A Comprehensive Survey on Deep Graph Representation Learning.

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

Neural Networks, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

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

CoRR, 2024

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking.

Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

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

CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.

Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang

CoRR, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.

Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised graph-level representation learning with hierarchical contrasts.

Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang

Neural Networks, January, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun

CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

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

CoRR, 2023

GLCC: A General Framework for Graph-Level Clustering.

Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.

Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2010

Quick matting: A matting method based on pixel spread and propagation.

Yiyang Gu, Cheng Jin, Xiangyang Xue

Proceedings of the International Conference on Image Processing, 2010