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ORCIDGengyu Lyu
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Journal Articles
- 2023
[j19]Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng:
Label driven latent subspace learning for multi-view multi-label classification. Appl. Intell. 53(4): 3850-3863 (2023)- [j18]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): 1618-1628 (2023) - [j17]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): 15:1-15:19 (2023) - [j16]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): 25:1-25:16 (2023) - [j15]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): 19:1-19:21 (2023) - [j14]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): 70:1-70:23 (2023) - [j13]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: 4013-4025 (2023) - 2022
- [j12]Jianguo Zhao, Gengyu Lyu, Songhe Feng:
Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. Appl. Intell. 52(1): 982-993 (2022) - [j11]Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng:
Partial label learning with noisy side information. Appl. Intell. 52(11): 12382-12396 (2022) - [j10]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang:
A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Trans. Cybern. 52(2): 899-911 (2022) - [j9]Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang:
Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Trans. Multim. 24: 581-593 (2022) - 2021
- [j8]Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang:
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. Appl. Intell. 51(3): 1552-1564 (2021) - [j7]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): 21-31 (2021) - [j6]Gengyu Lyu, Songhe Feng, Yidong Li:
Noisy label tolerance: A new perspective of Partial Multi-Label Learning. Inf. Sci. 543: 454-466 (2021) - [j5]Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai:
Partial multi-label learning with noisy side information. Knowl. Inf. Syst. 63(2): 541-564 (2021) - [j4]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): 521-535 (2021) - 2020
- [j3]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: 61-71 (2020) - [j2]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): 5165-5176 (2020) - [j1]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): 34:1-34:19 (2020)
Conference and Workshop Papers
- 2024
- [c17]Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan:
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI 2024: 15520-15527 - [c16]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: 16005-16013 - [c15]Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang:
Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML 2024 - [c14]Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng:
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI 2024: 4715-4723 - [c13]Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang:
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. IJCAI 2024: 5689-5697 - 2023
- [c12]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: 10408-10416 - [c11]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: 4308-4316 - [c10]Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu:
Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. ACM Multimedia 2023: 2994-3002 - 2022
- [c9]Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng:
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI 2022: 7647-7654 - [c8]Gengyu Lyu, Yanan Wu, Songhe Feng:
Deep Graph Matching for Partial Label Learning. IJCAI 2022: 3306-3312 - 2021
- [c7]Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. IJCAI 2021: 1179-1185 - 2020
- [c6]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: 1-6 - [c5]Ziwei Li, Gengyu Lyu, Songhe Feng:
Partial Multi-Label Learning via Multi-Subspace Representation. IJCAI 2020: 2612-2618 - [c4]Gengyu Lyu, Songhe Feng, Yidong Li:
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. KDD 2020: 105-113 - [c3]Yue Sun, Gengyu Lyu, Songhe Feng:
Partial Label Learning via Subspace Representation and Global Disambiguation. ECML/PKDD (2) 2020: 439-454 - [c2]Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li:
Partial Label Learning via Self-Paced Curriculum Strategy. ECML/PKDD (2) 2020: 489-505 - 2019
- [c1]Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang:
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) 2019: 269-280
Informal and Other Publications
- 2023
- [i5]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 abs/2305.05882 (2023) - 2021
- [i4]Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. CoRR abs/2104.14762 (2021) - 2019
- [i3]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching based Partial Label Learning. CoRR abs/1901.03073 (2019) - [i2]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 abs/1906.00551 (2019) - 2018
- [i1]Gengyu Lyu, Songhe Feng, Congyan Lang:
A Self-paced Regularization Framework for Partial-Label Learning. CoRR abs/1804.07759 (2018)
Coauthor Index
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