A Self-paced Regularization Framework for Partial-Label Learning. - Gengyu Lyu; Songhe Feng; Congyan Lang (CoRR, 2018)

Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. - Lijuan Sun; Songhe Feng; Gengyu Lyu; Congyan Lang (PAKDD (2), 2019)

Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. - Min Wang; Congyan Lang; Liqian Liang; Gengyu Lyu; Songhe Feng; Tao Wang 011 (ICME, 2020)

Partial Multi-Label Learning via Multi-Subspace Representation. - Ziwei Li; Gengyu Lyu; Songhe Feng (IJCAI, 2020)

Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. - Gengyu Lyu; Songhe Feng; Yidong Li (KDD, 2020)

Partial Label Learning via Self-Paced Curriculum Strategy. - Gengyu Lyu; Songhe Feng; Yi Jin 001; Yidong Li (ECML/PKDD (2), 2020)

Partial Label Learning via Subspace Representation and Global Disambiguation. - Yue Sun; Gengyu Lyu; Songhe Feng (ECML/PKDD (2), 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 low-rank representation and label propagation. - Gengyu Lyu; Songhe Feng; Wenying Huang; Guojun Dai; Hua Zhang; Baifan Chen (Soft Comput., 2020)

HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. - Gengyu Lyu; Songhe Feng; Yidong Li; Yi Jin 001; Guojun Dai; Congyan Lang (ACM Trans. Intell. Syst. Technol., 2020)

GM-MLIC: Graph Matching based Multi-Label Image Classification. - Yanan Wu; He Liu; Songhe Feng; Yi Jin 001; Gengyu Lyu; Zizhang Wu (IJCAI, 2021)

Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. - Lijuan Sun; Gengyu Lyu; Songhe Feng; Xiankai Huang (Appl. Intell., 2021)

Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. - Min Wang; Congyan Lang; Liqian Liang; Gengyu Lyu; Songhe Feng; Tao Wang 011 (IEEE Multim., 2021)

Noisy label tolerance: A new perspective of Partial Multi-Label Learning. - Gengyu Lyu; Songhe Feng; Yidong Li (Inf. Sci., 2021)

Partial multi-label learning with noisy side information. - Lijuan Sun; Songhe Feng; Gengyu Lyu; Hua Zhang; Guojun Dai (Knowl. Inf. Syst., 2021)

GM-PLL: Graph Matching Based Partial Label Learning. - Gengyu Lyu; Songhe Feng; Tao Wang 011; Congyan Lang; Yidong Li (IEEE Trans. Knowl. Data Eng., 2021)

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. - Gengyu Lyu; Xiang Deng; Yanan Wu; Songhe Feng (AAAI, 2022)

Deep Graph Matching for Partial Label Learning. - Gengyu Lyu; Yanan Wu; Songhe Feng (IJCAI, 2022)

Partial label learning with noisy side information. - Shaokai Wang; Mingxuan Xia; Zilong Wang; Gengyu Lyu; Songhe Feng (Appl. Intell., 2022)

Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. - Jianguo Zhao; Gengyu Lyu; Songhe Feng (Appl. Intell., 2022)

A Self-Paced Regularization Framework for Partial-Label Learning. - Gengyu Lyu; Songhe Feng; Tao Wang 011; Congyan Lang (IEEE Trans. Cybern., 2022)

Global-Local Label Correlation for Partial Multi-Label Learning. - Lijuan Sun; Songhe Feng; Jun Liu 036; Gengyu Lyu; Congyan Lang (IEEE Trans. Multim., 2022)

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. - Yanan Wu; Tengfei Liang; Songhe Feng; Yi Jin 001; Gengyu Lyu; Haojun Fei; Yang Wang 003 (AAAI, 2023)

Deep Partial Multi-Label Learning with Graph Disambiguation. - Haobo Wang 001; Shisong Yang; Gengyu Lyu; Weiwei Liu 003; Tianlei Hu; Ke Chen 005; Songhe Feng; Gang Chen 001 (IJCAI, 2023)

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. - Jing Wang 116; Songhe Feng; Gengyu Lyu; Zhibin Gu (ACM Multimedia, 2023)

Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. - Xiang Deng; Songhe Feng; Gengyu Lyu; Tao Wang 011; Congyan Lang (IEEE Trans. Multim., 2023)

Label driven latent subspace learning for multi-view multi-label classification. - Wei Liu; Jiazheng Yuan; Gengyu Lyu; Songhe Feng (Appl. Intell., 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., 2023)

Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. - Xun Lu; Songhe Feng; Gengyu Lyu; Yi Jin 001; Congyan Lang (ACM Trans. Knowl. Discov. Data, 2023)

Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. - Gengyu Lyu; Songhe Feng; Yi Jin 001; Tao Wang 011; Congyan Lang; Yidong Li (IEEE Trans. Cybern., 2023)

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. - Gengyu Lyu; Songhe Feng; Shaokai Wang; Zhen Yang 004 (ACM Trans. Intell. Syst. Technol., 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, 2023)

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. - Jing Wang 116; Songhe Feng; Gengyu Lyu; Jiazheng Yuan (AAAI, 2024)

A Separation and Alignment Framework for Black-Box Domain Adaptation. - Mingxuan Xia; Junbo Zhao 002; Gengyu Lyu; Zenan Huang; Tianlei Hu; Gang Chen 001; Haobo Wang 001 (AAAI, 2024)

Unbiased Multi-Label Learning from Crowdsourced Annotations. - Mingxuan Xia; Zenan Huang; Runze Wu 001; Gengyu Lyu; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (ICML, 2024)

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. - Gengyu Lyu; Weiqi Kang; Haobo Wang 001; Zheng Li; Zhen Yang 004; Songhe Feng (IJCAI, 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 (IJCAI, 2024)

CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning. - Qiuru Hai; Yongjian Deng; Yuena Lin; Zheng Li; Zhen Yang 004; Gengyu Lyu (AAAI, 2025)

Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation. - Ke Li; Gengyu Lyu; Hao Chen 034; Bochen Xie; Zhen Yang 004; Youfu Li 001; Yongjian Deng (AAAI, 2025)

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. - Gengyu Lyu; Bohang Sun; Xiang Deng; Songhe Feng (AAAI, 2025)

Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. - Bohang Sun; Yongjian Deng; Yuena Lin; Qiuru Hai; Zhen Yang 004; Gengyu Lyu (AAAI, 2025)

MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds. - Zihao Wang; Yiming Huang; Gengyu Lyu; Yucheng Zhao; Ziyu Zhou; Bochen Xie; Zhen Yang 004; Yongjian Deng (AAAI, 2025)

Multi-Instance Multi-Label Classification from Crowdsourced Labels. - Ziquan Wang; Mingxuan Xia; Xiangyu Ren; Jiaqing Zhou; Gengyu Lyu; Tianlei Hu; Haobo Wang (AAAI, 2025)

Multi-View Multi-Label Classification via View-Label Matching Selection. - Hao Wei 006; Yongjian Deng; Qiuru Hai; Yuena Lin; Zhen Yang 004; Gengyu Lyu (AAAI, 2025)

ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance. - Yucheng Zhao; Gengyu Lyu; Ke Li; Zihao Wang; Hao Chen 034; Zhen Yang 004; Yongjian Deng (AAAI, 2025)

Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition. - Guangcheng Zhu; Ruixuan Xiao; Haobo Wang; Zhen Zhu; Gengyu Lyu; Junbo Zhao (ACL (1), 2025)

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary. - Yuena Lin; Yiyuan Wang; Gengyu Lyu; Yongjian Deng; Haichun Cai; Huibin Lin; Haobo Wang 001; Zhen Yang 004 (ICLR, 2025)

Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion. - Yubo Wu; Kuanhong Cheng; Tingting Chai; Gengyu Lyu; Shuping Zhao; Wei Jia 001 (IEEE Trans. Signal Process., 2025)

L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification. - Gengyu Lyu; Zhen Yang 004; Xiang Deng; Songhe Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Align While Fusion: A Generalized Nonaligned Multiview Multilabel Classification Method. - Qiyu Zhong; Gengyu Lyu; Zhen Yang 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Federated Multi-View Multi-Label Classification. - Hongdao Meng; Yongjian Deng; Qiyu Zhong; Yipeng Wang 001; Zhen Yang 004; Gengyu Lyu (IEEE Trans. Big Data, 2025)