Gengyu Lyu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Subspace Clustering

Prior Knowledge

Image Classification

Top Venues

Publications

Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI (2024)
Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI (2024)
Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. AAAI (2023)
Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI (2023)
Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, Congyan Lang
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. IEEE Trans. Multim. 25 (2023)
Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li
Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. IEEE Trans. Cybern. 53 (3) (2023)
Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng
Label driven latent subspace learning for multi-view multi-label classification. Appl. Intell. 53 (4) (2023)
Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu
Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. ACM Multimedia (2023)
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR (2023)
Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang
Redundant Label Learning via Subspace Representation and Global Disambiguation. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Jianguo Zhao, Gengyu Lyu, Songhe Feng
Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. Appl. Intell. 52 (1) (2022)
Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang
Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Trans. Multim. 24 (2022)
Gengyu Lyu, Yanan Wu, Songhe Feng
Deep Graph Matching for Partial Label Learning. IJCAI (2022)
Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI (2022)
Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng
Partial label learning with noisy side information. Appl. Intell. 52 (11) (2022)
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang
A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Trans. Cybern. 52 (2) (2022)
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
GM-MLIC: Graph Matching based Multi-Label Image Classification. CoRR (2021)
Gengyu Lyu, Songhe Feng, Yidong Li
Noisy label tolerance: A new perspective of Partial Multi-Label Learning. Inf. Sci. 543 (2021)
Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. Appl. Intell. 51 (3) (2021)
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
GM-MLIC: Graph Matching based Multi-Label Image Classification. IJCAI (2021)
Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. IEEE Multim. 28 (3) (2021)
Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai
Partial multi-label learning with noisy side information. Knowl. Inf. Syst. 63 (2) (2021)
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
GM-PLL: Graph Matching Based Partial Label Learning. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Gengyu Lyu, Songhe Feng, Yidong Li
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. KDD (2020)
Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Yue Sun, Gengyu Lyu, Songhe Feng
Partial Label Learning via Subspace Representation and Global Disambiguation. ECML/PKDD (2) (2020)
Ziwei Li, Gengyu Lyu, Songhe Feng
Partial Multi-Label Learning via Multi-Subspace Representation. IJCAI (2020)
Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai, Hua Zhang, Baifan Chen
Partial label learning via low-rank representation and label propagation. Soft Comput. 24 (7) (2020)
Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li
Partial Label Learning via Self-Paced Curriculum Strategy. ECML/PKDD (2) (2020)
Lijuan Sun, Ping Ye, Gengyu Lyu, Songhe Feng, Guojun Dai, Hua Zhang
Weakly-supervised multi-label learning with noisy features and incomplete labels. Neurocomputing 413 (2020)
Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. ICME (2020)
Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) (2019)
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
GM-PLL: Graph Matching based Partial Label Learning. CoRR (2019)
Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. CoRR (2019)
Gengyu Lyu, Songhe Feng, Congyan Lang
A Self-paced Regularization Framework for Partial-Label Learning. CoRR (2018)