Feng, Songhe

27 publications

CVPR 2025 AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-View Clustering Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm, Michael C. Kampffmeyer

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 KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng

IJCAI 2025 Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei

NeurIPS 2025 TOMCAT: Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning Xudong Yan, Songhe Feng

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

IJCAI 2024 Continual Compositional Zero-Shot Learning Yang Zhang, Songhe Feng, Jiazheng Yuan

IJCAI 2024 Contrastive and View-Interaction Structure Learning for Multi-View Clustering Jing Wang, Songhe Feng

ICML 2024 EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization Zhibin Gu, Zhendong Li, Songhe Feng

NeurIPS 2024 From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement Zhibin Gu, Songhe Feng

AAAI 2024 Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering Tingting Wu, Songhe Feng, Jiazheng Yuan

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

AAAI 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng

ICCV 2023 Anchor Structure Regularization Induced Multi-View Subspace Clustering via Enhanced Tensor Rank Minimization Jintian Ji, Songhe Feng

IJCAI 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

ICCV 2023 MetaGCD: Learning to Continually Learn in Generalized Category Discovery Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng

AAAI 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

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

IJCAI 2022 Deep Graph Matching for Partial Label Learning Gengyu Lyu, Yanan Wu, Songhe Feng

IJCAI 2021 GM-MLIC: Graph Matching Based Multi-Label Image Classification Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu

ECML-PKDD 2020 Partial Label Learning via Self-Paced Curriculum Strategy Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li

ECML-PKDD 2020 Partial Label Learning via Subspace Representation and Global Disambiguation Yue Sun, Gengyu Lyu, Songhe Feng

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

ICCV 2019 Deformable Surface Tracking by Graph Matching Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou

AAAI 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin

ICCV 2017 Robust Object Tracking Based on Temporal and Spatial Deep Networks Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin

ECCV 2014 Image Tag Completion by Noisy Matrix Recovery Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain