Gengyu Lyu - RankMe

62 papers A* 28A 1Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness. AAAI Zhuo Li, Gengyu Lyu, Yuena Lin, Ziang Chen, Zhiyuan Ma, Zhen Yang, Zun Li
2026	A*	`conf`	Dual Graph Disambiguation for Multi-Instance Partial-Label Learning. AAAI Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun
2026	A*	`conf`	Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion. AAAI Yi Shan, Liyang Gao, Yuena Lin, Zhen Yang, Gengyu Lyu, Honggui Han
2025	A*	`conf`	Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. AAAI Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng
2025	J	`jnl`	Align While Fusion: A Generalized Nonaligned Multiview Multilabel Classification Method. IEEE Trans. Neural Networks Learn. Syst. Qiyu Zhong, Gengyu Lyu, Zhen Yang
2025	J	`jnl`	Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion. IEEE Trans. Signal Process. Yubo Wu, Kuanhong Cheng, Tingting Chai, Gengyu Lyu, Shuping Zhao, Wei Jia
2025	A*	`conf`	CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning. AAAI Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang, Gengyu Lyu
2025	A*	`conf`	Critical Node-aware Augmentation for Hypergraph Contrastive Learning. IJCAI Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu
2025	A*	`conf`	ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance. AAAI Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng
2025	A*	`conf`	Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary. ICLR Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang
2025	J	`jnl`	Federated Multi-View Multi-Label Classification. IEEE Trans. Big Data Hongdao Meng, Yongjian Deng, Qiyu Zhong, Yipeng Wang, Zhen Yang, Gengyu Lyu
2025	A*	`conf`	Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. AAAI Bohang Sun, Yongjian Deng, Yuena Lin, Qiuru Hai, Zhen Yang, Gengyu Lyu
2025	A*	`conf`	Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation. AAAI Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng
2025	J	`jnl`	L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. Gengyu Lyu, Zhen Yang, Xiang Deng, Songhe Feng
2025	—	`conf`	Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition. ACL (1) Guangcheng Zhu, Ruixuan Xiao, Haobo Wang, Zhen Zhu, Gengyu Lyu, Junbo Zhao
2025	A*	`conf`	MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds. AAAI Zihao Wang, Yiming Huang, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng
2025	A*	`conf`	Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries. ICML Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu
2025	A*	`conf`	Multi-Instance Multi-Label Classification from Crowdsourced Labels. AAAI Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang
2025	A*	`conf`	Multi-View Multi-Label Classification via View-Label Matching Selection. AAAI Hao Wei, Yongjian Deng, Qiuru Hai, Yuena Lin, Zhen Yang, Gengyu Lyu
2025	J	`jnl`	Simplified Graph Contrastive Learning Model Without Augmentation. IEEE Trans. Knowl. Data Eng. Yue-Na Lin, Gengyu Lyu, Hai-Chun Cai, Deng-Bao Wang, Haobo Wang, Zhen Yang
2025	A*	`conf`	Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank. ICML Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu
2024	A*	`conf`	A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
2024	A*	`conf`	Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng
2024	A*	`conf`	SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. IJCAI Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang
2024	A*	`conf`	SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan
2024	A*	`conf`	Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang
2023	J	`jnl`	Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. IEEE Trans. Multim. Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, Congyan Lang
2023	A*	`conf`	Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023	J	`jnl`	Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023	J	`jnl`	Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. ACM Trans. Knowl. Discov. Data Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang
2023	J	`jnl`	Label driven latent subspace learning for multi-view multi-label classification. Appl. Intell. Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng
2023	A*	`conf`	MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. AAAI Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang
2023	J	`jnl`	ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. ACM Trans. Knowl. Discov. Data Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu
2023	J	`jnl`	Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
2023	J	`jnl`	Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. IEEE Trans. Cybern. Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li
2023	J	`jnl`	Redundant Label Learning via Subspace Representation and Global Disambiguation. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang
2023	A*	`conf`	Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. ACM Multimedia Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu
2022	J	`jnl`	A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Trans. Cybern. Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang
2022	A*	`conf`	Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng
2022	A*	`conf`	Deep Graph Matching for Partial Label Learning. IJCAI Gengyu Lyu, Yanan Wu, Songhe Feng
2022	J	`jnl`	Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Trans. Multim. Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang
2022	J	`jnl`	Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. Appl. Intell. Jianguo Zhao, Gengyu Lyu, Songhe Feng
2022	J	`jnl`	Partial label learning with noisy side information. Appl. Intell. Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng
2021	J	`jnl`	Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. Appl. Intell. Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang
2021	J	`jnl`	Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. IEEE Multim. Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
2021	A*	`conf`	GM-MLIC: Graph Matching based Multi-Label Image Classification. IJCAI Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
2021	J	`jnl`	GM-MLIC: Graph Matching based Multi-Label Image Classification. CoRR Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
2021	J	`jnl`	GM-PLL: Graph Matching Based Partial Label Learning. IEEE Trans. Knowl. Data Eng. Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
2021	J	`jnl`	Noisy label tolerance: A new perspective of Partial Multi-Label Learning. Inf. Sci. Gengyu Lyu, Songhe Feng, Yidong Li
2021	J	`jnl`	Partial multi-label learning with noisy side information. Knowl. Inf. Syst. Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai
2020	A	`conf`	Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. ICME Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
2020	J	`jnl`	HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang
2020	—	`conf`	Partial Label Learning via Self-Paced Curriculum Strategy. ECML/PKDD (2) Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li
2020	—	`conf`	Partial Label Learning via Subspace Representation and Global Disambiguation. ECML/PKDD (2) Yue Sun, Gengyu Lyu, Songhe Feng
2020	A*	`conf`	Partial Multi-Label Learning via Multi-Subspace Representation. IJCAI Ziwei Li, Gengyu Lyu, Songhe Feng
2020	A*	`conf`	Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. KDD Gengyu Lyu, Songhe Feng, Yidong Li
2020	J	`jnl`	Partial label learning via low-rank representation and label propagation. Soft Comput. Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai, Hua Zhang, Baifan Chen
2020	J	`jnl`	Weakly-supervised multi-label learning with noisy features and incomplete labels. Neurocomputing Lijuan Sun, Ping Ye, Gengyu Lyu, Songhe Feng, Guojun Dai, Hua Zhang
2019	J	`jnl`	GM-PLL: Graph Matching based Partial Label Learning. CoRR Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
2019	J	`jnl`	HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. CoRR Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li
2019	—	`conf`	Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang
2018	J	`jnl`	A Self-paced Regularization Framework for Partial-Label Learning. CoRR Gengyu Lyu, Songhe Feng, Congyan Lang