Gengyu Lyu

According to our database, Gengyu Lyu authored at least 37 papers between 2018 and 2024.

Collaborative distances:

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

2024

SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting.

Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning.

Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unbiased Multi-Label Learning from Crowdsourced Annotations.

Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang

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

A Separation and Alignment Framework for Black-Box Domain Adaptation.

Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering.

Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering.

Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu

ACM Trans. Knowl. Discov. Data, June, 2023

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning.

Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang

ACM Trans. Intell. Syst. Technol., April, 2023

Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning.

Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li

IEEE Trans. Cybern., March, 2023

Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification.

Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang

ACM Trans. Knowl. Discov. Data, February, 2023

Redundant Label Learning via Subspace Representation and Global Disambiguation.

Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang

ACM Trans. Intell. Syst. Technol., February, 2023

Label driven latent subspace learning for multi-view multi-label classification.

Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng

Appl. Intell., February, 2023

Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification.

Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, Congyan Lang

IEEE Trans. Multim., 2023

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering.

Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Partial Multi-Label Learning with Graph Disambiguation.

Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning.

Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang

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

2022

Global-Local Label Correlation for Partial Multi-Label Learning.

Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang

IEEE Trans. Multim., 2022

A Self-Paced Regularization Framework for Partial-Label Learning.

Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang

IEEE Trans. Cybern., 2022

Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering.

Jianguo Zhao, Gengyu Lyu, Songhe Feng

Appl. Intell., 2022

Partial label learning with noisy side information.

Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng

Appl. Intell., 2022

Deep Graph Matching for Partial Label Learning.

Gengyu Lyu, Yanan Wu, Songhe Feng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning.

Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

GM-PLL: Graph Matching Based Partial Label Learning.

Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li

IEEE Trans. Knowl. Data Eng., 2021

Partial multi-label learning with noisy side information.

Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai

Knowl. Inf. Syst., 2021

Noisy label tolerance: A new perspective of Partial Multi-Label Learning.

Gengyu Lyu, Songhe Feng, Yidong Li

Inf. Sci., 2021

Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network.

Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang

IEEE Multim., 2021

Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels.

Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang

Appl. Intell., 2021

GM-MLIC: Graph Matching based Multi-Label Image Classification.

Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization.

Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang

ACM Trans. Intell. Syst. Technol., 2020

Partial label learning via low-rank representation and label propagation.

Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai, Hua Zhang, Baifan Chen

Soft Comput., 2020

Weakly-supervised multi-label learning with noisy features and incomplete labels.

Lijuan Sun, Ping Ye, Gengyu Lyu, Songhe Feng, Guojun Dai, Hua Zhang

Neurocomputing, 2020

Partial Label Learning via Subspace Representation and Global Disambiguation.

Yue Sun, Gengyu Lyu, Songhe Feng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Partial Label Learning via Self-Paced Curriculum Strategy.

Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism.

Gengyu Lyu, Songhe Feng, Yidong Li

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Partial Multi-Label Learning via Multi-Subspace Representation.

Ziwei Li, Gengyu Lyu, Songhe Feng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis.

Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization.

Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

A Self-paced Regularization Framework for Partial-Label Learning.

Gengyu Lyu, Songhe Feng, Congyan Lang

CoRR, 2018